default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, March 2020
- Utz Nisslmueller, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker:
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks. - El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. - Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Policy-Aware Model Learning for Policy Gradient Methods. - Martín Ceresa, Felipe Gorostiaga, César Sánchez:
Declarative Stream Runtime Verification (hLola). - Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. - Pamela Bilo Thomas, Rachel Krohn, Tim Weninger:
Library Adoption Dynamics in Software Teams. - Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
Dynamic Skyline Queries on Encrypted Data Using Result Materialization. - Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes. - Stefanie Scherzinger, Sebastian Sidortschuck:
An Empirical Study on the Design and Evolution of NoSQL Database Schemas. - Thomas Magelinski, Mihovil Bartulovic, Kathleen M. Carley:
Modularity-Deltas: a Semi-Global Centrality Measure for Complex Networks. - Hamid Gharavi, Bin Hu:
Deterministic Intra-Vehicle Communications: Timing and Synchronization. - Gustavo Assunção
, Nuno Gonçalves, Paulo Menezes:
Bio-Inspired Modality Fusion for Active Speaker Detection. - Marijan Palmisano, Martin Steinberger, Martin Horn:
Finite-horizon Linear Quadratic Control for Networked Control Systems with non-distributed plants. - Jacob A. George, Anna Neibling, Michael D. Paskett, Gregory A. Clark:
Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning. - Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort:
Learned Threshold Pruning. - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. - Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. - Mohit Daga:
Improved Algorithm for Min-Cuts in Distributed Networks. - Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. - Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis, Panagiota Fatourou, Angelos Bilas:
VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraBERT: Transformer-based Model for Arabic Language Understanding. - Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. - John H. Kastner, Hong Wei, Hanan Samet:
Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand. - Dominik Danko, Suat Mercan, Mumin Cebe, Kemal Akkaya:
Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain. - Grace Dinh, James Demmel:
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. - Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. - Duc Phan Minh Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov:
Determination of Latent Dimensionality in International Trade Flow. - Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Luting Yang, Bingqian Lu, Shaolei Ren:
A Note on Latency Variability of Deep Neural Networks for Mobile Inference. - Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal:
NLOptControl: A modeling language for solving optimal control problems. - (Withdrawn) A new construction of Algebraic Geometry code using Trace function.
- Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh:
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. - John Demme:
A Compiler Infrastructure for FPGA and ASIC Development. - Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. - Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated Regression Unit Test Generation for Program Merges. - Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang:
Decentralized Multi-player Multi-armed Bandits with No Collision Information. - Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. - Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang:
Entity Profiling in Knowledge Graphs. - Daliang Xu, Dongwei Chen, Chun Yang, Kang Sun, Xu Cheng, Dong Tong:
DangKiller: Eliminating Dangling Pointers Efficiently via Implicit Identifier. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. - Yu-Chen Sung, Sagar V. Patil, Michael G. Safonov:
Robustness of Uncertain Switching Nonlinear Feedback Systems against Large Time-Variation. - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. - Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Meng Tian, Liang Pan, Marcelo H. Ang Jr., Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. - Dylan J. Foster, Max Simchowitz:
Logarithmic Regret for Adversarial Online Control. - Ruqi Zhang, A. Feder Cooper, Christopher De Sa:
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. - Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. - Xiaopeng Mo, Jie Xu:
Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design. - Chaehan So:
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI. - Pankaj K. Agarwal, Hsien-Chih Chang, Subhash Suri, Allen Xiao, Jie Xue:
Dynamic geometric set cover and hitting set. - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual Policy Reuse using Deep Mixture Models. - Congqi Cao, Yanning Zhang:
Learning to Compare Relation: Semantic Alignment for Few-Shot Learning. - Hanyu Li, Yuanyang Zhu:
Randomized block Krylov space methods for trace and log-determinant estimators. - Xing Fan, Hao Luo, Chi Zhang, Wei Jiang:
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification. - Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. - Sebastiano Boscarino, Seung-Yeon Cho, Giovanni Russo, Seok-Bae Yun:
Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules. - Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. - Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. - Yingshi Chen:
Deep differentiable forest with sparse attention for the tabular data. - Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner:
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms. - Padraig Corcoran:
An End-to-End Graph Convolutional Kernel Support Vector Machine. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. - Raza Rahi, Sumant Pushp, Arif Khan, Smriti Kumar Sinha:
A Finite State Transducer Based Morphological Analyzer of Maithili Language. - Miel Sharf:
On the Sample Complexity of Data-Driven Inference of the L2-gain. - Cao Vien Phung, Anna Engelmann, Thomas Kuerner, Admela Jukan:
Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels. - Yizhi Zhao, Hongmei Chi:
Secure Polar Coding for Adversarial Wiretap Channel. - David Kay, Vanessa Styles:
Preconditioning nonlocal multi-phase flow. - Abanoub M. Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis:
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach. - Cao Vien Phung, Jasenka Dizdarevic, Admela Jukan:
An Experimental Study of Network Coded REST HTTP in Dynamic IoT Systems. - Mohammed A. Teeti:
Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping. - Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu:
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. - Pengcheng Zhang, Jianan Yu, Shunhui Ji:
ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts. - Jens Braband, Hendrik Schäbe:
On Safety Assessment of Artificial Intelligence. - Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes. - Eduardo Fernández, Kai-ke Yang, Stijn Koppen, Pablo Alarcón, Simon Bauduin, Pierre Duysinx:
Imposing minimum and maximum member size, minimum cavity size, and minimum separation distance between solid members in topology optimization. - Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang:
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. - Ajaz Ahmad Bhat, Vishwanathan Mohan:
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment. - Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition with Structural Cues. - Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs. - Gus Henry Smith, Zachary Tatlock, Luis Ceze:
Enumerating Hardware-Software Splits with Program Rewriting. - Paul Irofti, Andra Baltoiu:
Unsupervised Dictionary Learning for Anomaly Detection. - Suat Mercan, Enes Erdin, Kemal Akkaya:
Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications. - Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan:
Adaptive Federated Optimization. - Massimo Bartoletti, Maurizio Murgia, Roberto Zunino:
Renegotiation and recursion in Bitcoin contracts. - Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. - Woojay Jeon, Leo Liu, Henry Mason:
Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks. - Chaoyue Liu, Libin Zhu, Mikhail Belkin:
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning. - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. - Marc C. Canellas, Rachel A. Haga:
Unsafe At Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation. - Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. - Shrinu Kushagra:
Three-dimensional matching is NP-Hard. - Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang:
Robust Robotic Pouring using Audition and Haptics. - Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. - Iztok Fister Jr., Iztok Fister:
Information cartography in association rule mining. - Nicolae-Catalin Ristea, Liviu-Cristian Dutu, Anamaria Radoi:
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks. - Aikaterini Aretaki, Efthymios N. Karatzas:
Random geometries and Quasi Monte Carlo methods for optimal control PDE problems based on fictitious domain FEMS and cut elements. - Wei-Hung Weng, Yu-An Chung, Schrasing Tong:
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. - Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li:
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. - Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. - Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. - Steve Macenski, Francisco Martín, Ruffin White, Jonatan Ginés Clavero:
The Marathon 2: A Navigation System. - Daniel R. Freer, Guang-Zhong Yang:
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control. - Masashi Okada, Norio Kosaka, Tadahiro Taniguchi:
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Bahman Kalantari:
A Globally Convergent Newton Method for Polynomials. - Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang:
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning. - Chao Xu, Xijun Wang, Howard H. Yang, Hongguang Sun, Tony Q. S. Quek:
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks. - Wenrui Lin, Xijun Wang, Chao Xu, Xinghua Sun, Xiang Chen:
Average Age of Changed Information in the Internet of Things. - Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian:
Vision-based Robot Manipulation Learning via Human Demonstrations. - William E. Gerhard III, Pratap Tokekar:
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. - Shizhe Chen, Qin Jin, Peng Wang, Qi Wu:
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs. - Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. - Mengjie Yi, Xijun Wang, Juan Liu, Yan Zhang, Bo Bai:
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks. - Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu:
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning. - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. - Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Kumar Garg, Md Anwarul Kaium Patwary, Erfan Aghasian:
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review. - Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only. - Hugo Tremblay, Fábio Petrillo:
The cross cyclomatic complexity: a bi-dimensional measure for program complexity on graphs. - Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang:
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task. - Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu:
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension. - Monther Aldwairi, Yahya Flaifel, Khaldoon Mhaidat:
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection. - Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang:
FMT: Fusing Multi-task Convolutional Neural Network for Person Search. - Haokun Li, Bican Xia:
Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection. - Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le:
PF-Net: Point Fractal Network for 3D Point Cloud Completion. - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement. - Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan:
Harmonics Based Representation in Clarinet Tone Quality Evaluation. - Muhammad Asim, Muaaz Zakria:
Advanced kNN: A Mature Machine Learning Series. - K. R. Prajwal, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Face-to-Face Translation. - Hong-lin Liao, Tao Tang, Tao Zhou:
On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation. - Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom with Deep Reinforcement Learning. - Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad:
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos. - Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. - Kamran Alipour, Jürgen P. Schulze, Yi Yao, Avi Ziskind, Giedrius Burachas:
A Study on Multimodal and Interactive Explanations for Visual Question Answering. - Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Basar:
Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks. - Xiaolin Song, Yuyang Zhao, Jingyu Yang, Cuiling Lan, Wenjun Zeng, Jiahao Li:
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation. - Chengjun Li, Yang Li:
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization. - Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. - Franck Assous, Yevgeni Furman:
A hierarchy of reduced models to approximate Vlasov-Maxwell equations for slow time variations. - Arthur-Jozsef Molnar, Simona Motogna:
Longitudinal Evaluation of Open-Source Software Maintainability. - Fleurianne Bertrand, Daniele Boffi:
Least-squares for linear elasticity eigenvalue problem. - Jonathan P. Keating, Ahmet Abdullah Keles:
Maximum Absolute Determinants of Upper Hessenberg Bohemian Matrices. - Yijun Yuan, Dorit Borrmann, Andreas Nüchter, Sören Schwertfeger:
Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence. - Vahid Garousi, Ehsan Abbasi, Bedir Tekinerdogan:
Experience in engineering of scientific software: The case of an optimization software for oil pipelines. - Hamza Ali Imran, Saad Wazir, Ahmed Jamal Ikram, Ataul Aziz Ikram, Hanif Ullah, Maryam Ehsan:
HPC as a Service: A naive model. - Benjamin Ward-Cherrier, Nicholas Pestell, Nathan F. Lepora:
NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition. - Reut Levi, Moti Medina:
Distributed Testing of Graph Isomorphism in the CONGEST model. - Yuri S. Sarkisov, Min Jun Kim, Andre Coelho, Dzmitry Tsetserukou, Christian Ott, Konstantin Kondak:
Optimal Oscillation Damping Control of cable-Suspended Aerial Manipulator with a Single IMU Sensor. - Cornelis A. Middelburg:
Process algebra, process scheduling, and mutual exclusion. - Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui:
Scalable Learning Paradigms for Data-Driven Wireless Communication. - Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet:
GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling. - (Withdrawn) 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data.
- Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi:
State-Aware Tracker for Real-Time Video Object Segmentation. - Tingting Chen, Yiming Ma, Xiande Zhang:
Optimal Constant-Weight Codes under l1-Metric. - Alexander Jung, Pedro H. J. Nardelli:
An Information-Theoretic Approach to Personalized Explainable Machine Learning. - Pongsaphol Pongsawakul:
An Algorithm for Consensus Trees. - Barbara Kaltenbacher, William Rundell:
The Inverse Problem of Reconstructing Reaction-Diffusion Systems. - Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling. - Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu:
Novelty-Prepared Few-Shot Classification. - Seungmo Kim, Tsigigenet Dessalgn:
Mitigation of Civilian-to-Military Interference in DSRC for Urban Operations. - Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. - Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. - Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang:
Deep Attention Aware Feature Learning for Person Re-Identification. - Dan Halperin, Sariel Har-Peled, Kurt Mehlhorn, Eunjin Oh, Micha Sharir:
The Maximum-Level Vertex in an Arrangement of Lines. - Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang:
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection. - Uday Bondhugula:
High Performance Code Generation in MLIR: An Early Case Study with GEMM. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. - Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang:
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. - Marek Kwiek, Wojciech Roszka:
Gender Disparities in International Research Collaboration: A Large-scale Bibliometric Study of 25, 000 University Professors. - Ayush Bahuguna, Ashutosh Bhatia, Kamlesh Tiwari, Deepak Vishwakarma:
User profiling using smartphone network traffic analysis. - Jeevan Manavalan, Prabhakar Ray, Matthew Howard:
Exploiting Ergonomic Priors in Human-to-Robot Task Transfer. - Yiding Feng, Jason D. Hartline, Yingkai Li:
Simple Mechanisms for Non-linear Agents. - Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung:
Soft-Root-Sign Activation Function. - George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. - Giordano Da Lozzo, Anthony D'Angelo, Fabrizio Frati:
On the Area Requirements of Planar Greedy Drawings of Triconnected Planar Graphs. - Kshitij Bakliwal, Sai Ravela:
The Sloop System for Individual Animal Identification with Deep Learning. - Mark Bun, Roi Livni, Shay Moran:
An Equivalence Between Private Classification and Online Prediction. - Farzad Aalipour, Tuhin Das:
Proportional Power Sharing Control of Distributed Generators in Microgirds. - Franck Assous, Moshe Lin:
Time Reversal for elastic scatterer location from Acoustic Recording. - Shravan Narayan, Craig Disselkoen, Tal Garfinkel, Nathan Froyd, Eric Rahm, Sorin Lerner, Hovav Shacham, Deian Stefan:
Retrofitting Fine Grain Isolation in the Firefox Renderer (Extended Version). - Frederik Hasecke, Lukas Hahn, Anton Kummert:
Fast Lidar Clustering by Density and Connectivity. - Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Lobster-inspired Robotic Glove for Hand Rehabilitation. - Tommaso Gagliardoni, Juliane Krämer, Patrick Struck:
Quantum Indistinguishability for Public Key Encryption. - David Daly, William Brown, Henrik Ingo, Jim O'Leary, David Bradford:
Change Point Detection in Software Performance Testing. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Reconfigurable Hybrid Actuator with Rigid and Soft Components. - Maike Lorena Stern, Hans Lindberg, Klaus Meyer-Wegener:
Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images. - Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Chaoyang Song:
A Lobster-inspired Hybrid Actuator With Rigid and Soft Components. - Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. - Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo:
Federating Recommendations Using Differentially Private Prototypes. - Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. - Haris Aziz, Nisarg Shah:
Participatory Budgeting: Models and Approaches. - Dongrui Wu:
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models. - Henrique Ferrolho, Wolfgang Merkt, Vladimir Ivan, Wouter Wolfslag, Sethu Vijayakumar:
Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections. - Laia Amorós, Syed Mahbub Hafiz, Keewoo Lee, M. Caner Tol:
Gimme That Model!: A Trusted ML Model Trading Protocol. - Hua Wei, Zhenhui Li:
Learning to Simulate Human Movement. - S. Cliff Liu, Robert E. Tarjan, Peilin Zhong:
Connected Components on a PRAM in Log Diameter Time. - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences using a Learned Feature Descriptor. - Chenghao Deng, Jing Yang, Changyong Pan:
Timely Synchronization with Sporadic Status Changes. - Mahak Goindani, Jennifer Neville:
Cluster-Based Social Reinforcement Learning. - Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada:
Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. - Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Hesham Mostafa, Marcel Nassar:
Permutohedral-GCN: Graph Convolutional Networks with Global Attention. - Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia:
Matching Neuromorphic Events and Color Images via Adversarial Learning. - Jin Liu, Shunping Ji:
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset. - Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon:
Permutation Invariant Graph Generation via Score-Based Generative Modeling. - Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. - Hiroki Kawai, Jiawei Chen, Prakash Ishwar, Janusz Konrad:
VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images. - Gang Bao, Yiwen Lin:
Inverse scattering by a random periodic structure. - Noptanit Chotisarn, Leonel Merino, Xu Zheng, Supaporn Lonapalawong, Tianye Zhang, Mingliang Xu, Wei Chen:
A Systematic Literature Review of Modern Software Visualization. - Miika Hannula, Juha Kontinen, Jan Van den Bussche, Jonni Virtema:
Descriptive complexity of real computation and probabilistic independence logic. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. - Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan:
A review of machine learning applications in wildfire science and management. - Beixiong Zheng, Changsheng You, Rui Zhang:
Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design. - Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang:
Global Context-Aware Progressive Aggregation Network for Salient Object Detection. - Mucong Ding, Constantinos Daskalakis, Soheil Feizi:
Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs. - Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. - Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk:
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. - Xusheng Luo, Yan Zhang, Michael M. Zavlanos:
Socially-Aware Robot Planning via Bandit Human Feedback. - Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. - Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk:
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. - Marvin Chancán, Michael Milford:
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation. - Bin Fu:
Hardness of Sparse Sets and Minimal Circuit Size Problem. - Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. - Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu:
Style Example-Guided Text Generation using Generative Adversarial Transformers. - Vladislav Kibalov, Oleg Shipitko:
Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle. - Minghan Chen, Yilong Sun, Xueqing Cai, Boyi Liu, Tenglong Ren:
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm. - Lumin Yang, Jiajie Zhuang, Hongbo Fu, Kun Zhou, Youyi Zheng:
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks. - Xubo Wang, Lu Qin, Lijun Chang, Ying Zhang, Dong Wen, Xuemin Lin:
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System. - Rupam Acharyya, Shouman Das, Ankani Chattoraj, Oishani Sengupta, Md Iftekar Tanveer:
Detection and Mitigation of Bias in Ted Talk Ratings. - David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol, Aaron C. Courville:
Out-of-Distribution Generalization via Risk Extrapolation (REx). - Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase:
What Timing for an Automated Vehicle to Communicate Its Driving Intentions to Pedestrians for Improving Their Perception of Safety? - Eshagh Kargar, Ville Kyrki:
Efficient Latent Representations using Multiple Tasks for Autonomous Driving. - Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. - MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee:
Relational Deep Feature Learning for Heterogeneous Face Recognition. - Hao Chen, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
Planning to Build Soma Blocks Using a Dual-arm Robot. - Jianglei Han, Jing Li, Aixin Sun:
UFTR: A Unified Framework for Ticket Routing. - David Tolpin, Yuan Zhou, Hongseok Yang:
Stochastically Differentiable Probabilistic Programs. - Puneet Kohli, Saravana Gunaseelan, Jason Orozco, Yiwen Hua, Edward Li, Nicolas Dahlquist:
GPU-Accelerated Mobile Multi-view Style Transfer. - Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan:
Unbiased Mean Teacher for Cross Domain Object Detection. - Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta:
Using Image Captions and Multitask Learning for Recommending Query Reformulations. - Sascha Wirges, Ye Yang, Sven Richter, Haohao Hu, Christoph Stiller:
Learned Enrichment of Top-View Grid Maps Improves Object Detection. - Sizhang Dai, Weibing Huang:
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation. - Abolfazl Lavaei, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani:
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning. - Osama M. Bushnaq, Mustafa A. Kishk, Abdulkadir Çelik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Cellular Traffic Offloading Through Tethered-UAV Deployment and User Association. - Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim:
Knowledge Graphs on the Web - an Overview. - Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans:
Batch Stationary Distribution Estimation. - Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation. - Adrian-Stefan Ungureanu, Saqib Salahuddin, Peter M. Corcoran:
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review. - Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. - Rafael Hirschburger, Anke Weidlich:
Profitability of Photovoltaic and Battery Systems on Municipal Buildings. - Dat Quoc Nguyen, Anh Tuan Nguyen:
PhoBERT: Pre-trained language models for Vietnamese. - Carlo Guarnieri Calò Carducci, Gianluca Lipari, Nicola Giaquinto, Ferdinanda Ponci, Antonello Monti:
Error Model in Single Board Computer based Phasor Measurement Units. - David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. - Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. - Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti:
Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use. - Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. - Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang:
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry. - Ringo Baumann:
On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics. - Michael Hammann, Maximilian Kraus, Sina Shafaei, Alois C. Knoll:
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier. - Andrea Simonetto:
Smooth Strongly Convex Regression. - Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Finding Interesting Frames in Deep Video Analytics: a Top-K Approach. - Pedro Fortón, José Ma Saldaña, Julián Fernández-Navajas, José Ruíz-Mas:
Interfaz Gráfica para la Gestión SDWN de un Entorno WLAN. - Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems. - Rakesh Kumar, Reena Koundal, K. Srivastava:
New wavelet method based on Shifted Lucas polynomials: A tau approach. - Alexandros Tanzanakis, John Lygeros:
Data-Driven Control of Unknown Systems: A Linear Programming Approach. - Michal Bednarek, Piotr Kicki, Jakub Bednarek, Krzysztof Walas:
Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 2. - Suilen H. Alvarado:
Design of Mutation Operators for Testing Geographic Information Systems. - Leonardo Fernández-Jambrina:
Characterisation of rational and NURBS developable surfaces in Computer Aided Design. - Muhammad Yaseen, Muneeb Aadil, Maria Sargsyan:
Preventing Clean Label Poisoning using Gaussian Mixture Loss. - Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. - Alessandro Betti, Benedetto Michelozzi, Andrea Bracci, Andrea Masini:
Real-Time target detection in maritime scenarios based on YOLOv3 model. - Shoeb Siddiqui, Ganesh Vanahalli, Sujit Gujar:
BitcoinF: Achieving Fairness for Bitcoin in Transaction-Fee-Only Model. - Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. - Jialin Liu, Fei Chao, Chih-Min Lin:
Task Augmentation by Rotating for Meta-Learning. - Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro, Kamer Vishi:
Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. - Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. - Jay Kumar:
Fake Review Detection Using Behavioral and Contextual Features. - Ammarah Farooq, Muhammad Awais, Fei Yan, Josef Kittler, Ali Akbari, Syed Safwan Khalid:
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions. - Indigo J. D. Orton:
Vision based body gesture meta features for Affective Computing. - Anirudh Itagi, Ritam Sil, Saurav Mohapatra, Subham Rout, Bharath K. P, Karthik R, Rajesh Kumar Muthu:
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods. - Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. - Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu:
Towards information-rich, logical text generation with knowledge-enhanced neural models. - Hongyu Wang, Guangcun Shan:
Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network. - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. - Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. - Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi:
Quantized Neural Network Inference with Precision Batching. - Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi:
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. - Bilal Hassan, Ramsha Ahmed, Taimur Hassan, Naoufel Werghi:
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression. - Akshat Gautam, Muhammed Ali Sit, Ibrahim Demir:
Realistic River Image Synthesis using Deep Generative Adversarial Networks. - Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid:
Verifying Deep Learning-based Decisions for Facial Expression Recognition. - Mohammad Sayad Haghighi:
Critical Study of Markovian Approaches for Batch Arrival Modeling in IEEE 802.15.4-based Networks. - Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee:
GSANet: Semantic Segmentation with Global and Selective Attention. - Kangying Li, Biligsaikhan Batjargal, Akira Maeda:
Character Segmentation in Asian Collector's Seal Imprints: An Attempt to Retrieval Based on Ancient Character Typeface. - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. - Gabriela Y. Kimura, Diego Rafael Lucio, Alceu S. Britto Jr., David Menotti:
CNN Hyperparameter tuning applied to Iris Liveness Detection. - Yansel González Tejeda, Helmut Mayer:
CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning. - (Withdrawn) Deep Variational Luenberger-type Observer for Stochastic Video Prediction.
- Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes:
Marine life through You Only Look Once's perspective. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
On Parameter Tuning in Meta-learning for Computer Vision. - Han Fu, Yunyu Bai, Zhuo Li, Jun Shen, Jianling Sun:
A Machine Learning Framework for Data Ingestion in Document Images. - Bin Fang, Xingming Long, Yifan Zhang, GuoYi Luo, Fuchun Sun, Huaping Liu:
Fabric Defect Detection Using Vision-Based Tactile Sensor. - Abhishek Saroha, Avichal Rakesh, Rajiv Kumar Tripathi:
FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization. - Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. - Peng Hu, Xiusheng Liu:
A new method for constructing EAQEC MDS codes. - Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
A General Framework for Symmetric Property Estimation. - Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan:
Addressing target shift in zero-shot learning using grouped adversarial learning. - Stephan Rave, Jens Saak:
An Instationary Thermal-Block Benchmark Model for Parametric Model Order Reduction. - Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tiejun Huang:
Learning to Deblur and Generate High Frame Rate Video with an Event Camera. - Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Seungjun Lee:
Deep Learning on Radar Centric 3D Object Detection. - Quentin Mérigot, Boris Thibert:
Optimal transport: discretization and algorithms. - Chenxi Xiao, Juan P. Wachs:
Triangle-Net: Towards Robustness in Point Cloud Classification. - Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. - Aaqif Afzaal Abbasi, Shahab Shamshirband, Mohammed Abdulaziz Aide Al-qaness, Almas Abbasi, Nashat T. AL-Jallad, Amir Mosavi:
Resource-Aware Network Topology Management Framework. - Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). - Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. - Ezekiel O. Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay, Andreas Zeller:
Exposing Backdoors in Robust Machine Learning Models. - Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor:
Wireless AI: Enabling an AI-Governed Data Life Cycle. - Myeongjin Kim, Hyeran Byun:
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation. - Fatemeh Sarkohaki, Reza Fotohi, Vahab Ashrafian:
An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System. - Shahram Behzad, Reza Fotohi, Jaber Hosseini Balov, Mohammad Javad Rabipour:
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks. - Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. - Jinfu Lin, Xiaojian He:
Few-shot Learning with Weakly-supervised Object Localization. - Jian Ma:
Predicting TUG score from gait characteristics based on video analysis and machine learning. - Chuanxing Geng, Zhenghao Tan, Songcan Chen:
A Multi-view Perspective of Self-supervised Learning. - Daniel E. Acuna, Ziyue Xiang:
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. - Stanton R. Price, Steven R. Price, Derek T. Anderson:
Introducing Fuzzy Layers for Deep Learning. - Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The perceptual boost of visual attention is task-dependent in naturalistic settings. - Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space. - Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction. - Steffen Wolf, Fred A. Hamprecht, Jan Funke:
Instance Separation Emerges from Inpainting. - Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. - Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. - Kate Wilkinson, George Cevora:
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Learning to See: You Are What You See. - Peter Robinson, Raghavendra Ramesh, John Brainard, Sandra Johnson:
Atomic Crosschain Transactions White Paper. - Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Deep Meditations: Controlled navigation of latent space. - Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. - Bert Abrath, Bart Coppens, Jens Van den Broeck, Brecht Wyseur, Alessandro Cabutto, Paolo Falcarin, Bjorn De Sutter:
Code Renewability for Native Software Protection. - Soodeh Atefi, Andrew Truelove, Matheus Rheinschmitt, Eduardo Santana de Almeida, Iftekhar Ahmed, Amin Alipour:
Examining user reviews of conversational systems: a case study of Alexa skills. - Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Structured Prediction with Partial Labelling through the Infimum Loss. - Teus H. Kappen, Mirko Noordegraaf, Wilton A. van Klei, Karel G. M. Moons, Cor J. Kalkman:
Decision Support in the Context of a Complex Decision Situation. - Yelena Mejova, Kyriaki Kalimeri:
Advertisers Jump on Coronavirus Bandwagon: Politics, News, and Business. - Lukas Schaupp, Patrick Pfreundschuh, Mathias Bürki, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments. - Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. - Hossein Rahmani, Sajjad Arshad, Mohsen Ebrahimi Moghaddam:
A Disk Scheduling Algorithm Based on ANT Colony Optimization. - George Rautenbach, C. Maria Keet:
Toward equipping Artificial Moral Agents with multiple ethical theories. - Yi-Rui Yang, Wu-Jun Li:
BASGD: Buffered Asynchronous SGD for Byzantine Learning. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
ETH-Tight Algorithms for Long Path and Cycle on Unit Disk Graphs. - Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester:
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players. - Steve Huntsman:
Generalizing cyclomatic complexity via path homology. - Piotr Kicki, Tomasz Gawron, Piotr Skrzypczynski:
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment. - Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. - Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. - Cara M. Nunez, Bryce N. Huerta, Allison M. Okamura, Heather Culbertson:
Investigating Social Haptic Illusions for Tactile Stroking (SHIFTS). - Björn Stinner, Andreas Dedner, Adam Nixon:
A surface finite element method for computational modelling of cell blebbing. - Gaetano Geck, Frank Neven, Thomas Schwentick:
Distribution Constraints: The Chase for Distributed Data. - Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
YouTube Recommendations and Effects on Sharing Across Online Social Platforms. - Philip H. Kulp, Nikki E. Robinson:
Graphing Website Relationships for Risk Prediction: Identifying Derived Threats to Users Based on Known Indicators. - Ashish Dandekar, Debabrota Basu, Stéphane Bressan:
Differential Privacy at Risk: Bridging Randomness and Privacy Budget. - Philippe Caillou, Jonas Renault, Jean-Daniel Fekete, Anne-Catherine Letournel, Michèle Sebag:
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections. - Kristopher Ambrose, Steve Huntsman, Michael Robinson, Matvey Yutin:
Topological Differential Testing. - Ye Lyu, Michael Ying Yang, George Vosselman, Guisong Xia:
Plug & Play Convolutional Regression Tracker for Video Object Detection. - Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. - Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. - Suat Gumussoy, Hitay Özbay:
Control of Systems with Infinitely Many Unstable Modes and Strongly Stabilizing Controllers Achieving a Desired Sensitivity. - Md. Ferdous Pervej, Shih-Chun Lin:
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach. - Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth:
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. - Eden Abadi, Ronen I. Brafman:
Learning and Solving Regular Decision Processes. - Kasturi Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Shivani Singh:
On the Probability of Erasure for MIMO-OFDM. - Axel Kröner, Heiko Kröner:
Estimates of constants in error estimates for H2 conforming finite elements for regularized nonlinear elliptic geometric evolution equations and question of optimality. - Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of primary and collateral tracks in stuttered speech. - Haoran Su, Joseph Y. J. Chow, Li Jin:
V2I Connectivity-Based Dynamic Queue-Jumper Lane for Emergency Vehicles: An Approximate Dynamic Programming Approach. - Qiugang Lu, Sungho Shin, Victor M. Zavala:
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea:
Exploring Backdoor Poisoning Attacks Against Malware Classifiers. - Ignacio Abadia, Francisco Naveros, Jesús Alberto Garrido, Eduardo Ros, Niceto R. Luque:
On robot compliance. A cerebellar control approach. - Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello:
One or Two Components? The Scattering Transform Answers. - Jacob Miller, Guillaume Rabusseau, John Terilla:
Tensor Networks for Language Modeling. - Chuangchuang Sun, Macheng Shen, Jonathan P. How:
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. - Ayush Kumar, Jithendra Vepa:
Gated Mechanism for Attention Based Multimodal Sentiment Analysis. - Andrew D. Kercher, Andrew Corrigan:
A Least-Squares Formulation of the Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement. - Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala:
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime. - Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. - Zhe Ji, Lin Fu, Xiangyu Hu, Nikolaus A. Adams:
A Feature-aware SPH for Isotropic Unstructured Mesh Generation. - Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera:
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation. - Sepanta Zeighami, Raymond Chi-Wing Wong:
Bridging the Gap Between Theory and Practice on Insertion-Intensive Database. - Naji Shajarisales, Peter Spirtes, Kun Zhang:
Learning from Positive and Unlabeled Data by Identifying the Annotation Process. - Ashish Rao, Bidipta Sarkar, Tejas Narayanan:
Gaussian Process Policy Optimization. - Christoph Berkholz, Nicole Schweikardt:
Constant delay enumeration with FPT-preprocessing for conjunctive queries of bounded submodular width. - Murat Saglam, Sami Ezercan, Suat Gumussoy, Hitay Özbay:
Controller Tuning for Active Queue Management Using a Parameter Space Method. - Joseph Ben Geloun, Camille Coti, Allen D. Malony:
On-the-fly Optimization of Parallel Computation of Symbolic Symplectic Invariants. - Lixia Yan, Baoli Ma:
Distributed Leader-Follower Formation Tracking Control of Multiple Quad-rotors. - Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. - Suat Gumussoy, Hitay Özbay:
Remarks on Strong Stabilization and Stable H-infinity Controller Design. - Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. - Dimitrios Chamzas, Konstantinos Moustakas:
3D Augmented Reality Tangible User Interface using Commodity Hardware. - Difan Zou, Philip M. Long, Quanquan Gu:
On the Global Convergence of Training Deep Linear ResNets. - Arnab Paul, Mamdudul Haque Khan, M. Muktadir Rahman, Tanvir Zaman Khan, Prajoy Podder, Md. Yeasir Akram Khan:
Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter. - Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia:
China may need to support more small teams in scientific research. - Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao:
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. - Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolò Michelusi:
Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics. - Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. - Jeffrey M. Ede:
Warwick Electron Microscopy Datasets. - Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer:
Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme. - Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran:
Online Agnostic Boosting via Regret Minimization. - Tapajit Dey, Audris Mockus:
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages. - Charles Carlson, Ewan Davies, Alexandra Kolla:
Efficient algorithms for the Potts model on small-set expanders. - Hermann Kaindl, Stefan Kramer:
Towards Probability-based Safety Verification of Systems with Components from Machine Learning. - Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal:
Real-World Human-Robot Collaborative Reinforcement Learning. - Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos:
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. - Chen Jiang, Masood Dehghan, Martin Jägersand:
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream. - Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. - Peng Jiang, Srikanth Saripalli:
LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation. - Chirag Nagpal, Xinyu Li, Artur Dubrawski:
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. - Anil Shanbhag, Samuel Madden, Xiangyao Yu:
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version). - Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau:
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. - Jingxiu Yao, Martin J. Shepperd:
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters. - Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam:
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network. - Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales:
Adversarial Generation of Informative Trajectories for Dynamics System Identification. - Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo:
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry. - Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. - Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox:
Natural Language Processing Advancements By Deep Learning: A Survey. - Siddhartha V. Jayanti, Robert E. Tarjan:
Concurrent Disjoint Set Union. - Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. - Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. - Sheng Chen, Jie Shen:
Log orthogonal functions: approximation properties and applications. - Subodh Mishra, Gaurav Pandey, Srikanth Saripalli:
Extrinsic Calibration of a 3D-LIDAR and a Camera. - Thoria Alghamdi, Gita Alaghband:
High Performance Parallel Sort for Shared and Distributed Memory MIMD. - Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li:
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Armin Ziaie Tabari, Xinming Ou:
A First Step Towards Understanding Real-world Attacks on IoT Devices. - Xiaodong Yang, Hoang-Dung Tran, Weiming Xiang, Taylor T. Johnson:
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices. - Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig:
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks. - Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong:
The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces. - Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. - Andrés Páez:
Robot Mindreading and the Problem of Trust. - Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. - Nathan Bucki, Junseok Lee, Mark W. Mueller:
Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation. - Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel:
Rethinking Randomized Smoothing for Adversarial Robustness. - Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. - Weijing Shi, Ragunathan Rajkumar:
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. - Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrovic, Yasamin Nazari:
Massively Parallel Algorithms for Distance Approximation and Spanners. - Zhen Ma, He Xu, Yonghui Zhang, Junlong Chen, Dongbo Zhao, Siqing Chen:
Augmented Reality on the Large Scene Based on a Markerless Registration Framework. - Amir Mahdi Sadeghzadeh, Rasool Jalili, Saeed Shiravi:
Adversarial Network Traffic: Toward Evaluating the Robustness of Deep Learning Based Network Traffic Classification. - Matthew L. Leavitt, Ari S. Morcos:
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. - Elizabeth Harris, Bishnu P. Lamichhane, Quoc Thong Le Gia:
Approximation of noisy data using multivariate splines and finite element methods. - Masakazu Yoshimura, Murilo M. Marinho, Kanako Harada, Mamoru Mitsuishi:
Single-Shot Pose Estimation of Surgical Robot Instruments' Shafts from Monocular Endoscopic Images. - Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado:
Med7: a transferable clinical natural language processing model for electronic health records. - Devi Parikh:
Predicting A Creator's Preferences In, and From, Interactive Generative Art. - Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. - Mai T. P. Le, Luca Sanguinetti, Emil Björnson, Maria-Gabriella Di Benedetto:
Code-domain NOMA in Massive MIMO: When is it Needed? - Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. - Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin:
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas. - Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. - Boris Galkin, Ramy Amer, Erika Fonseca, Luiz A. DaSilva:
Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach. - Tetsuo Inoshita, Yuichi Nakatani, Katsuhiko Takahashi, Asuka Ishii, Gaku Nakano:
Trained Model Fusion for Object Detection using Gating Network. - Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou:
Data Invariants: On Trust in Data-Driven Systems. - Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai:
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. - Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. - Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi:
Regression via Implicit Models and Optimal Transport Cost Minimization. - Changhao Sun, Chen Li, Xiaoyan Li:
Gastric histopathology image segmentation using a hierarchical conditional random field. - Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. - Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez, Andrea G. Parker, Michelle A. Borkin:
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence. - Qian Chen, Zhu Zhuo, Wen Wang, Qiuyun Xu:
Transfer Learning for Context-Aware Spoken Language Understanding. - Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo, Zhongyong Wang, Jiangtao Xi, Yonghui Li:
Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation. - Qian Chen, Mengzhe Chen, Bo Li, Wen Wang:
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection. - Anirban Das, Shigeru Imai, Mike P. Wittie, Stacy Patterson:
Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement. - Diogo Pacheco, Alessandro Flammini, Filippo Menczer:
Unveiling Coordinated Groups Behind White Helmets Disinformation. - Douglas Morrison, Peter Corke, Jürgen Leitner:
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. - Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela:
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. - Jessica Van Brummelen, Kevin Weng, Phoebe Lin, Catherine Yeo:
Convo: What does conversational programming need? An exploration of machine learning interface design. - Yerlan Amanbek, Timur Merembayev, Sanjay Srinivasan:
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation. - Kishan Panaganti, Dileep M. Kalathil:
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. - Yuepeng Wang, Rushi Shah, Abby Criswell, Rong Pan, Isil Dillig:
Data Migration using Datalog Program Synthesis. - Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. - XuZhang, ChenjunZhou, Bo Gu:
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search. - Xiaogang Zhu:
Numerical solution of the general high-dimensional multi-term time-space-fractional diffusion equations. - Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen:
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. - Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. - Haijian Sun, Xiang Ma, Rose Qingyang Hu:
Adaptive Federated Learning With Gradient Compression in Uplink NOMA. - Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel:
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification. - Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi:
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. - Liang Xu, Xuanwei Zhang, Qianqian Dong:
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model. - Gary P. T. Choi, Di Qiu, Lok Ming Lui:
Shape analysis via inconsistent surface registration. - Hualie Jiang, Laiyan Ding, Rui Huang:
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos. - Mohit Lamba, Kaushik Mitra:
multi-patch aggregation models for resampling detection. - Samarth Sinha, Animesh Garg, Hugo Larochelle:
Curriculum By Texture. - Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Traversing the Reality Gap via Simulator Tuning. - Qichen Li, Xiaoke Jiang, Jun Xia, Jian Li:
Meta-Embeddings Based On Self-Attention. - Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. - S. R. Siva Prasad Kochi, M. Ramakrishna:
Shock capturing with discontinuous Galerkin Method using Overset grids for two-dimensional Euler equations. - Bernadette Spieler, Naomi Pfaff, Stefania Makrygiannaki, Wolfgang Slany:
The Magic Word: A Coding Tutorial-Game to Engage Female Teenagers in App Design. - Hao Wu, Jan Paul Siebert:
Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN. - William Agnew, Pedro Domingos:
Self-Supervised Object-Level Deep Reinforcement Learning. - Matilde Boschiero, Marco Giordani, Michele Polese, Michele Zorzi:
Coverage Analysis of UAVs in Millimeter Wave Networks: A Stochastic Geometry Approach. - Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Verloop:
Improving the performance of heterogeneous data centers through redundancy. - Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati Latifah Rajab Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos. - Junqiang Cheng, Chenglu Jia, Hui Gao, Wenjun Xu, Zhisong Bie:
OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems. - Jimmy Etienne, Sylvain Lefebvre:
Procedural band patterns. - Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg:
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. - Ziling Wu, Ping Liu, Zheng Hu, Jun Wang:
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution. - Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma:
What's the relationship between CNNs and communication systems? - Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. - Wlodzimierz Drabent:
The Prolog Debugger and Declarative Programming. Examples. - Chaehan So:
Understanding the Prediction Mechanism of Sentiments by XAI Visualization. - Claudio Zito:
Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli. - Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. - Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation. - Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
Embodied Synaptic Plasticity with Online Reinforcement learning. - Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue:
On Dominant Interference in Random Networks and Communication Reliability. - Shanchao Yang, Jing Liu, Kai Wu, Mingming Li:
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. - Traiko Dinev, Songyan Xin, Wolfgang Merkt, Vladimir Ivan, Sethu Vijayakumar:
Modeling and Control of a Hybrid Wheeled Jumping Robot. - Zhihui Wang, Chongwei Liu, Shijie Wang, Tao Tang, Yulong Tao, Caifei Yang, Haojie Li, Xing Liu, Xin Fan:
UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking. - Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti:
3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks. - Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns. - Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. - Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll:
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion. - Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. - Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva:
Differentiable Causal Backdoor Discovery. - Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation. - Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati, Wouter Wolfslag, Sethu Vijayakumar, Michael N. Mistry:
Bio-mimetic Adaptive Force/Position Control Using Fractal Impedance. - Rima Khouja, Houssam Khalil, Bernard Mourrain:
A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem. - Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristià, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux:
Seshat: A tool for managing and verifying annotation campaigns of audio data. - Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. - Adria Ruiz, Jakob Verbeek:
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. - Grzegorz Dudek, Pawel Pelka:
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. - Jingye Li, Meishan Zhang, Donghong Ji, Yijiang Liu:
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition. - Davoud Mougouei, David M. W. Powers:
Modeling and Selection of Interdependent Software Requirements using Fuzzy Graphs. - Jonathan Sterling, Carlo Angiuli, Daniel Gratzer:
A Cubical Language for Bishop Sets. - Witold Wydmanski, Szymon Szott:
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. - Alizée Gagnon, Alexander Hassler, Jerry Huang, Aaron Krim-Yee, Fionn Mc Inerney, Andrés Zacarías, Ben Seamone, Virgélot Virgile:
A method for eternally dominating strong grids. - Gang Peng, Zezao Lu, Bocheng Chen, Shanliang Chen, Dingxin He:
Robust tightly coupled pose estimation based on monocular vision, inertia, and wheel speed. - Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg:
A Permutation-Equivariant Neural Network Architecture For Auction Design. - Zicheng Qiu, Wei Jiang, Turghunjan Mamut:
Improving Uyghur ASR systems with decoders using morpheme-based language models. - Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. - Aneta Neumann, Bradley Alexander, Frank Neumann:
Evolutionary Image Transition and Painting Using Random Walks. - Sunders Bruskin, Polina Zilberman, Rami Puzis, Shay Shwarz:
SoK: A Survey of Open Source Threat Emulators. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
Evidence-based explanation to promote fairness in AI systems. - Leyuan Wang, John D. Owens:
Fast Gunrock Subgraph Matching (GSM) on GPUs. - Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. - Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst:
On the Effectiveness of Virtual Reality-based Training for Robotic Setup. - Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. - Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters:
Underactuated Waypoint Trajectory Optimization for Light Painting Photography. - (Withdrawn) Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.
- Suat Gumussoy, Hitay Özbay:
On Stable H-infinity Controllers for Time Delay Systems. - Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu:
Evaluation Framework For Large-scale Federated Learning. - Chaehan So:
Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors. - Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song:
Reconfigurable Design for Omni-adaptive Grasp Learning. - Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, Chaoyang Song:
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger. - Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song:
Rigid-Soft Interactive Learning for Robust Grasping. - Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. - Richard R. Carrillo, Francisco Naveros, Eduardo Ros, Niceto R. Luque:
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks. - Luca Calderoni, Luciano Margara, Moreno Marzolla:
Direct Product Primality Testing of Graphs is GI-hard. - Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui:
Marketplace for AI Models. - Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu:
Analyzing Accuracy Loss in Randomized Smoothing Defenses. - Alex Nichol:
VQ-DRAW: A Sequential Discrete VAE. - Yuan Chen, Songming Hou, Xu Zhang:
A Bilinear Partially Penalized Immersed Finite Element Method for Elliptic Interface Problems with Multi-Domains and Triple-Junction Points. - Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. - Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. - Natalie Best, Jordan Ott, Erik Linstead:
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. - Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - Suat Gumussoy, Hitay Özbay:
Sensitivity Minimization by Stable Controllers: An Interpolation Approach for Suboptimal Solutions. - Tate Kernell, Robert C. Kirby:
Preconditioning mixed finite elements for tide models. - Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric landmark detection with a multi-scale shift equivariant neural network. - Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar:
Explaining Groups of Points in Low-Dimensional Representations. - Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas:
A Survey on Big Data for Network Traffic Monitoring and Analysis. - Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel D. Lee:
Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction. - Suat Gumussoy, Hitay Özbay:
Sensitivity minimization by stable controllers for a class of unstable time-delay systems. - Harsh Tataria, Fredrik Tufvesson:
Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems. - Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. - Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. - Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh:
Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection. - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors. - Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia:
Model Assertions for Monitoring and Improving ML Models. - Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. - Harsh Tataria, Fredrik Tufvesson, Ove Edfors:
Real-Time Implementation Aspects of Large Intelligent Surfaces. - Quan Zhao, Wei Jiang, Weizhu Bao:
An energy-stable parametric finite element method for simulating solid-state dewetting. - Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. - Daniel Selsam, Simon Hudon, Leonardo de Moura:
Sealing Pointer-Based Optimizations Behind Pure Functions. - Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. - Francesco Croce, Matthias Hein:
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. - Mohammad Zeynali Azim, Mohammad Ali Jabraeil Jamali, Babak Anari, Saeid Alikhani, Shahin Akbarpour:
Graphs and codes produced by a new method for dividing a natural number by two. - Alfons Geser, Dieter Hofbauer, Johannes Waldmann:
Sparse Tiling through Overlap Closures for Termination of String Rewriting. - Bapi Chatterjee, Sathya Peri, Muktikanta Sa:
Dynamic Graph Operations: A Consistent Non-blocking Approach. - Suat Gumussoy, Hitay Özbay:
Remarks on H-infinity Controller Design for SISO Plants with Time Delays. - Allen Liu, Renato Paes Leme, Jon Schneider:
Contextual Search for General Hypothesis Classes. - Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári:
Model Selection in Contextual Stochastic Bandit Problems. - Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Hierarchically Decoupled Imitation for Morphological Transfer. - Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos:
BATS: Binary ArchitecTure Search. - Lotte Bransen, Jan Van Haaren:
Player Chemistry: Striving for a Perfectly Balanced Soccer Team. - Charis Mesaritakis, Marialena Akriotou, Dimitris Syvridis:
Laser Induced Speckle as a Foundation for Physical Security and Optical Computing. - Jens Bayer, David Münch, Michael Arens:
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition. - Maude J. Blondin, Matthew T. Hale:
An Algorithm for Multi-Objective Multi-Agent Optimization. - Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang:
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters. - AbdulAziz Al-Helali, Ben Liang, Nidal Nasser:
Novel Molecular Signaling Method and System for Molecular Communication in Human Body. - Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Jie Liu, Jiawen Liu, Zhen Xie, Dong Li:
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. - Noam Elron, Shahar S. Yuval, Dmitry Rudoy, Noam Levy:
Blind Image Restoration without Prior Knowledge. - Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. - Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian:
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet. - Miguel A. F. Sanjuán:
Artificial Intelligence, Chaos, Prediction and Understanding in Science. - Robert Mieth, Matthew Roveto, Yury Dvorkin:
Risk Trading in a Chance-Constrained Stochastic Electricity Market. - Tianyu Wang, Julian Whitman, Matthew J. Travers, Howie Choset:
Directional Compliance in Obstacle-Aided Navigation for Snake Robots. - Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, Seyed Reza Ahmadzadeh, Holly A. Yanco:
Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects. - Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. - Matt Roveto, Robert Mieth, Yury Dvorkin:
Co-Control of VaR and CVaR forData-Driven Stochastic Demand Response Auction. - Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung:
Untangling in Invariant Speech Recognition. - James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications. - Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu:
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. - Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. - Binxuan Huang, Kathleen M. Carley:
Discover Your Social Identity from What You Tweet: a Content Based Approach. - Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger:
A3: Activation Anomaly Analysis. - Mouhyemen Khan, Akash Patel, Abhijit Chatterjee:
Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control. - Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. - Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu:
RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision. - Therese Biedl, Anna Lubiw, Owen D. Merkel:
Building a larger class of graphs for efficient reconfiguration of vertex colouring. - Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki:
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. - Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson:
Implicitly Defined Layers in Neural Networks. - Davoud Mougouei, David M. W. Powers:
Dependency-Aware Release Planning for Software Projects using Fuzzy Graphs and Integer Programming. - Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune:
Scaling MAP-Elites to Deep Neuroevolution. - Ricard Durall, Margret Keuper, Janis Keuper:
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. - Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg:
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. - Nathan Vaughn, Leighton Wilson, Robert Krasny:
A GPU-Accelerated Barycentric Lagrange Treecode. - Nishant Budhdev, Mun Choon Chan, Tulika Mitra:
IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization. - Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. - Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. - Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How:
A Distributed Pipeline for Scalable, Deconflicted Formation Flying. - Taisuke Kobayashi:
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems. - Geon Lee, Jihoon Ko, Kijung Shin:
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. - Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Yuichiro Yoshikawa, Hiroshi Ishiguro:
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification. - Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou:
Region adaptive graph fourier transform for 3d point clouds. - Shinji Hara, Tetsuya Iwasaki, Yutaka Hori:
Robust Instability Analysis with Application to Neuronal Dynamics. - Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot:
Semantic sensor fusion: from camera to sparse lidar information. - Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack for Generative Models. - Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li:
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors. - Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. - Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li:
Privacy-preserving Learning via Deep Net Pruning. - Dhanoop Karunakaran, Stewart Worrall, Eduardo M. Nebot:
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles. - Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-based Consensus Clustering on Specialized Hardware. - Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje:
MoVi: A Large Multipurpose Motion and Video Dataset. - Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Amir Hossein Raffiee, Michael Sollami:
GarmentGAN: Photo-realistic Adversarial Fashion Transfer. - Chengjin Sun, Sizhe Chen, Xiaolin Huang:
Double Backpropagation for Training Autoencoders against Adversarial Attack. - Preetum Nakkiran, Prayaag Venkat, Sham M. Kakade, Tengyu Ma:
Optimal Regularization Can Mitigate Double Descent. - Zhengyang Guo, Yi Li:
Minimum Enclosing Parallelogram with Outliers. - James Aspnes:
Notes on Randomized Algorithms. - Sulgi Kim, Kyungmin Kim:
Odds-Ratio Thompson Sampling to Control for Time-Varying Effect. - Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin:
Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks. - Xingyu Chen, Yue Lu, Zhengxing Wu, Junzhi Yu, Li Wen:
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes. - Debasish Pattanayak, Klaus-Tycho Foerster, Partha Sarathi Mandal, Stefan Schmid:
Distributed Pattern Formation With Faulty Robots. - Nathan F. Lepora, John Lloyd:
Optimal Deep Learning for Robot Touch. - Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. - Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. - Chen-Yu Wei, Haipeng Luo, Alekh Agarwal:
Taking a hint: How to leverage loss predictors in contextual bandits? - Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi:
Coded Caching with Uneven Channels: A Quality of Experience Approach. - Ruo Li, Fanyi Yang:
Reconstructed Discontinuous Approximation to Stokes Equation in A Sequential Least Squares Formulation. - Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed, Mahfuz Ara Proma, S. M. Shahriar Haque:
Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View. - Alexander Prolubnikov:
The discrete optimization problems with interval objective function on graphs and hypergraphs and the interval greedy algorithm. - Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon:
Gaussianization Flows. - Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou, Nikolaos Giakoumidis, Anthony Tzes:
Relative Visual Localization for Unmanned Aerial Systems. - Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
ASMD: an automatic framework for compiling multimodal datasets. - Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong:
Occlusion Aware Unsupervised Learning of Optical Flow From Video. - Victor Berger, Michèle Sebag:
Variational Auto-Encoder: not all failures are equal. - Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Flow Computation in Temporal Interaction Networks. - Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho:
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements. - Michael Carr, Siamak F. Shahandashti:
Revisiting Security Vulnerabilities in Commercial Password Managers. - Fabian Wolf, Gernot A. Fink:
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling. - Maurantonio Caprolu, Roberto Di Pietro, Simone Raponi, Savio Sciancalepore, Pietro Tedeschi:
Vessels Cybersecurity: Issues, Challenges, and the Road Ahead. - Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis:
Metrics and methods for robustness evaluation of neural networks with generative models. - Murat Kirtay, Ugo Albanese, Lorenzo Vannucci, Guido Schillaci, Cecilia Laschi, Egidio Falotico:
The iCub multisensor datasets for robot and computer vision applications. - Alexander Rieder, Francisco-Javier Sayas, Jens Markus Melenk:
Runge-Kutta approximation for C0-semigroups in the graph norm with applications to time domain boundary integral equations. - Victor Garcia Satorras, Max Welling:
Neural Enhanced Belief Propagation on Factor Graphs. - Ghislain Fourier, Gabriele Nebe:
Degenerate flag varieties in network coding. - Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Redesigning SLAM for Arbitrary Multi-Camera Systems. - Stav Ben-Nun, Shay Golan, Tomasz Kociumaka, Matan Kraus:
Time-Space Tradeoffs for Finding a Long Common Substring. - Onel L. Alcaraz López, Nurul Huda Mahmood, Hirley Alves:
Enabling URLLC for Low-Cost IoT Devices via Diversity Combining Schemes. - Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin:
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Deep Joint Transmission-Recognition for Power-Constrained IoT Devices. - Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal:
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. - (Withdrawn) On Hyper-parameter Tuning for Stochastic Optimization Algorithms.
- Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll:
Learning to Transfer Texture from Clothing Images to 3D Humans. - Alaa Daoud:
Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web. - Wansong Liu, Danyang Luo, Changxu Wu, Minghui Zheng:
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos. - Shahine Bouabid, Vincent Delaitre:
Mixup Regularization for Region Proposal based Object Detectors. - Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. - Frank H. P. Fitzek, Patrick Seeling:
Why We Should NOT Talk about 6G. - Xia Wu, Haiyuan Liu, Ziqi Liu, Mingdong Chen, Fang Wan, Chenglong Fu, H. Harry Asada, Zheng Wang, Chaoyang Song:
Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance. - (Withdrawn) An effective version of definability in metric model theory.
- Peter Benner, Martin Köhler, Jens Saak:
Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 - Philosophy, Features and Application for (Parametric) Model. - Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao:
Analysis of Indexing Structures for Immutable Data. - Xiao Ma, Taylor W. Brown:
AI-Mediated Exchange Theory. - Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni:
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. - Yusheng Xiang, Tianqing Su, Xiaole Liu, Marcus Geimer:
Realtime Estimation of IEEE 802.11p for Mobile working Machines Communication respecting Delay and Packet Loss. - Danel Ahman, Matija Pretnar:
Asynchronous effects. - Jiale Chen, Xu Tan, Chaowei Shan, Sen Liu, Zhibo Chen:
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design. - Srilakshmi Pattabiraman, Ryan Gabrys, Olgica Milenkovic:
Coding for Polymer-Based Data Storage. - Aleksei Ustimenko, Liudmila Prokhorenkova:
StochasticRank: Global Optimization of Scale-Free Discrete Functions. - Qian Chen, Wen Wang:
Sequential Neural Networks for Noetic End-to-End Response Selection. - Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. - Lili Wang, Ji Liu, A. Stephen Morse:
A Distributed Observer for a Continuous-Time Linear System with time-varying network. - Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson:
Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited. - Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani, Renato Quartullo:
Satellite Relative Motion Modeling and Estimation via Nodal Elements. - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online metric algorithms with untrusted predictions. - Anh-Tu Nguyen, Chouki Sentouh, Jean-Christophe Popieul, Boussaad Soualmi:
Shared lateral control with on-line adaptation of the automation degree for driver steering assist system: A weighting design approach. - Dimitris Fotakis, Loukas Kavouras, Grigorios Koumoutsos, Stratis Skoulakis, Manolis Vardas:
The Online Min-Sum Set Cover Problem. - Tidiane Sylla, Mohamed Aymen Chalouf, Francine Krief, Karim Samaké:
Towards a Context-Aware Security and Privacy as a Service in the Internet of Things. - Pedro Mirabal, José Ignacio Abreu, Oscar Pedreira:
Pivot Selection for Median String Problem. - Sanghoon Hong, Hunchul Park, Jonghyuk Park, Sukhyun Cho, Heewoong Park:
HintPose. - Daniil Polykovskiy, Dmitry P. Vetrov:
Deterministic Decoding for Discrete Data in Variational Autoencoders. - Diane Uwacu, Regina Rex, Bonnie Wang, Shawna L. Thomas, Nancy M. Amato:
Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery. - Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari:
Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach. - Dusan Knop, Martin Koutecký:
Scheduling Kernels via Configuration LP. - Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein:
Colored Noise Injection for Training Adversarially Robust Neural Networks. - Yonathan Efroni, Shie Mannor, Matteo Pirotta:
Exploration-Exploitation in Constrained MDPs. - Micha Sharir, Oleg Zlydenko:
Incidences between points and curves with almost two degrees of freedom. - Rudi Horn, Simon Fowler, James Cheney:
Language-Integrated Updatable Views (Extended version). - Xinchen Wei, Haitham Moffaqq Al-Obiedollah, Kanapathippillai Cumanan, Miao Zhang, Jie Tang, Wei Wang, Octavia A. Dobre:
Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment. - Hongzheng Li, Heyan Huang:
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation. - A. J. Sanchez-Fernandez, Luis F. Romero, Gerardo Bandera, Siham Tabik:
Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study. - Feras Almasri, Olivier Debeir:
Robust Perceptual Night Vision in Thermal Colorization. - Samuel Thiriot:
Generate Descriptive Social Networks for Large Populations from Available Observations: A Novel Methodology and a Generator. - S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke:
Maximal Causes for Exponential Family Observables. - Igor S. Chekhovskoy, Sergey B. Medvedev, Irina Vaseva, Egor Sedov, Mikhail P. Fedoruk:
Introducing phase jump tracking - a fast method for eigenvalue evaluation of the direct Zakharov-Shabat problem. - Hsiu-Chin Lin, Michael N. Mistry:
Contact Surface Estimation via Haptic Perception. - Julian Busch, Jiaxing Pi, Thomas Seidl:
PushNet: Efficient and Adaptive Neural Message Passing. - Chenguang Wang, Simon H. Tindemans, Kaikai Pan, Peter Palensky:
Detection of False Data Injection Attacks Using the Autoencoder Approach. - Ankit Shah, Julie Shah:
Interactive Robot Training for Non-Markov Tasks. - Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu:
Contrastive estimation reveals topic posterior information to linear models. - Wei Sun:
Towards High Throughput Wireless Network with Directional Antenna. - Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. - Hsin-Ping Huang, Junyi Jessy Li:
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification. - Varun Kumar, Ashutosh Choudhary, Eunah Cho:
Data Augmentation using Pre-trained Transformer Models. - Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Voxel Map for Visual SLAM. - Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. - Katherine Hoffmann Pham, Miguel A. Luengo-Oroz:
From plague to coronavirus: On the value of ship traffic data for epidemic modeling. - Joseph Kump, Eileen R. Martin:
Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for Efficient Surface Wave Inversion Using MPI and GPUs. - Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab:
Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy. - Borys Tymchenko, Philip Marchenko, Dmitry Spodarets:
Deep Learning Approach to Diabetic Retinopathy Detection. - Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme:
Bandits with adversarial scaling. - Bryan Ford, Philipp Jovanovic, Ewa Syta:
Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks. - Suat Gumussoy:
On the Zeros of Quasi-Polynomials with Single Delay. - Javad Fotouhi, Giacomo Taylor, Mathias Unberath, Alex Johnson, Sing Chun Lee, Greg Osgood, Mehran Armand, Nassir Navab:
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging. - Suat Gumussoy, Michael L. Overton:
Fixed-Order H-infinity Controller Design via HIFOO, a Specialized Nonsmooth Optimization Package. - Nico Krais, Gero Schnücke, Thomas Bolemann, Gregor Gassner:
Split form ALE discontinuous Galerkin methods with applications to under-resolved turbulent low-Mach number flows. - Dennis Luxen:
An Inverse Olympic Medal Tally Transformation for Optimal Lane-level Road Network Path Traversal. - Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How:
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. - Marcos Eduardo Valle:
Reduced Dilation-Erosion Perceptron for Binary Classification. - Sorin Adam Matei:
What is affordance theory and how can it be used in communication research? - Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. - Matteo Croci, Vegard Vinje, Marie E. Rognes:
Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo. - Goda Klumbyte, Claude Draude, Loren Britton:
Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design. - Masood S. Mortazavi, Ning Yan:
The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study. - Zhiyan Ding, Qin Li, Jianfeng Lu:
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. - Edgar Fajardo Hernandez, Matevz Tadel, Justas Balcas, Alja Mrak Tadel, Frank Würthwein, Diego Davila, Jonathan Guiang, Igor Sfiligoi:
Moving the California distributed CMS xcache from bare metal into containers using Kubernetes. - Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. - Zitong Zhou, Daniel M. Tartakovsky:
Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification. - Chunxiao Li, Noah Fleming, Marc Vinyals, Toniann Pitassi, Vijay Ganesh:
Towards a Complexity-theoretic Understanding of Restarts in SAT solvers. - Alyson Fox, James Diffenderfer, Jeffrey Hittinger, Geoffrey Sanders, Peter Lindstrom:
Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods. - Yimeng Li, Jana Kosecka:
Learning View and Target Invariant Visual Servoing for Navigation. - Luís M. S. Russo, Ana Sofia D. Correia, Gonzalo Navarro, Alexandre P. Francisco:
Approximating Optimal Bidirectional Macro Schemes. - David M. Bossens, Danesh Tarapore:
QED: using Quality-Environment-Diversity to evolve resilient robot swarms. - Mihalis Panteris, Simon Manschitz, Sylvain Calinon:
Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction. - Daniele Bonadiman, Alessandro Moschitti:
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection. - Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka:
Distributed Asynchronous Union-Find for Scalable Feature Tracking. - Filip Gralinski, Tomasz Stanislawek, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. - Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. - David Berthelot, Peyman Milanfar, Ian J. Goodfellow:
Creating High Resolution Images with a Latent Adversarial Generator. - Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. - Shay Vargaftik, Isaac Keslassy, Ariel Orda:
LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers. - Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh:
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. - Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. - Jieliang Luo, Hui Li:
Dynamic Experience Replay. - Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. - Feng Jin, Arindam Sengupta, Siyang Cao:
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder. - Zhen Chen, Kailiang Wu, Dongbin Xiu:
Methods to Recover Unknown Processes in Partial Differential Equations Using Data. - Claude Gravel, Daniel Panario:
Finding linearly generated subsequences. - Alex Renda, Jonathan Frankle, Michael Carbin:
Comparing Rewinding and Fine-tuning in Neural Network Pruning. - Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Order-Preserving Key Compression for In-Memory Search Trees. - Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni:
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. - Jeffrey Ichnowski, Michael Danielczuk, Jingyi Xu, Vishal Satish, Ken Goldberg:
GOMP: Grasp-Optimized Motion Planning for Bin Picking. - Keqi Shu, Huilong Yu, Xingxin Chen, Long Chen, Qi Wang, Li Li, Dongpu Cao:
Autonomous Driving at Intersections: A Critical-Turning-Point Approach for Left Turns. - Dongqi Wu, Dileep M. Kalathil, Le Xie:
Deep Reinforcement Learning-Based Robust Protection in Electric Distribution Grids. - Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. - Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson:
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. - Felix Von Drigalski, Chisato Nakashima, Yoshiya Shibata, Yoshinori Konishi, Joshua C. Triyonoputro, Kaidi Nie, Damien Petit, Toshio Ueshiba, Ryuichi Takase, Yukiyasu Domae, Taku Yoshioka, Yoshihisa Ijiri, Ixchel Georgina Ramirez-Alpizar, Weiwei Wan, Kensuke Harada:
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools. - Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini:
ViCE: Visual Counterfactual Explanations for Machine Learning Models. - Florian Kummer, Martin Smuda, Jens Weber:
BoSSS: a package for multigrid extended discontinuous Galerkin methods. - Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou:
Fast Noise Removal for k-Means Clustering. - Noam Shazeer, Zhenzhong Lan, Youlong Cheng, Nan Ding, Le Hou:
Talking-Heads Attention. - Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu:
Drone Based RGBT Vehicle Detection and Counting: A Challenge. - Jae Kyu Suhr, Ho Gi Jung:
End-to-End Trainable One-Stage Parking Slot Detection Integrating Global and Local Information. - Meifan Zhang, Hongzhi Wang:
LAQP: Learning-based Approximate Query Processing. - Chinthaka Gamanayake, Lahiru Jayasinghe, Benny Kai Kiat Ng, Chau Yuen:
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications. - Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. - Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi:
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. - Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Adversarial Robustness Through Local Lipschitzness. - Chihiro Noguchi, Tatsuro Kawamoto:
Fragility of spectral clustering for networks with an overlapping structure. - Yong Bai, Yuanfang Guo, Jinjie Wei, Lin Lu, Rui Wang, Yunhong Wang:
Fake Generated Painting Detection via Frequency Analysis. - Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters:
Bayesian Domain Randomization for Sim-to-Real Transfer. - Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. - Stefan Kratsch, Tomás Masarík, Irene Muzi, Marcin Pilipczuk, Manuel Sorge:
Optimal Discretization is Fixed-parameter Tractable. - Alexander Göke, Dániel Marx, Matthias Mnich:
Parameterized Algorithms for Generalizations of Directed Feedback Vertex Set. - Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. - Pawel Drozdowski, Christian Rathgeb, Antitza Dantcheva, Naser Damer, Christoph Busch:
Demographic Bias in Biometrics: A Survey on an Emerging Challenge. - Milan Ceska, Jirí Matyás, Vojtech Mrazek, Lukás Sekanina, Zdenek Vasícek, Tomás Vojnar:
Adaptive Verifiability-Driven Strategy for Evolutionary Approximation of Arithmetic Circuits. - Mustafa Emara, Miltiades C. Filippou, Dario Sabella:
MEC-enhanced Information Freshness for Safety-critical C-V2X Communications. - Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. - Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. - Dinesh Kumar, Rajiv Kumar, Neeru Sharma:
Dual link failure survivability with recovery time constraint: A Parallel cross connection backup route recovery strategy. - Emmanouil Fountoulakis, Nikolaos Pappas, Marian Codreanu, Anthony Ephremides:
Optimal Sampling Cost in Wireless Networks with Age of Information Constraints. - Xiaocheng Li, Chunlin Sun, Yinyu Ye:
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. - Václav Rozhon:
Simple and sharp analysis of k-means||. - Antoine Amarilli, Michael Benedikt:
Finite Open-World Query Answering with Number Restrictions. - Eleni Bakali, Aggeliki Chalki, Aris Pagourtzis:
Characterizations and approximability of hard counting classes below #P. - Serhan Gül, Dimitri Podborski, Jangwoo Son, Gurdeep Singh Bhullar, Thomas Buchholz, Thomas Schierl, Cornelius Hellge:
Cloud Rendering-based Volumetric Video Streaming System for Mixed Reality Services. - Astghik Hakobyan, Insoon Yang:
Learning-based distributionally robust motion control with Gaussian processes. - Irene Celino, Gloria Re Calegari:
Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness. - Alessio Zappone, Marco Di Renzo, Farshad Shams, Xuewen Qian, Mérouane Debbah:
Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments. - Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. - Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. - Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
On the performance of deep learning models for time series classification in streaming. - ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. - Jacob Deasy, Ari Ercole, Pietro Liò:
Adaptive Prediction Timing for Electronic Health Records. - Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. - Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas:
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images. - Sridhar Chellappa, Lihong Feng, Valentin de la Rubia, Peter Benner:
Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain. - Yushi Qiu, Reiji Suda:
Permute to Train: A New Dimension to Training Deep Neural Networks. - Dvir Cohen, Yisroel Mirsky, Yuval Elovici, Rami Puzis, Manuel Kamp, Tobias Martin, Asaf Shabtai:
DANTE: A framework for mining and monitoring darknet traffic. - Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth:
Constant-Delay Enumeration for Nondeterministic Document Spanners. - Ashif Mustafa, Manideepa Saha:
A generalized projection iterative methods for solving non-singular linear systems. - Édouard Bonnet, Nicolas Grelier, Tillmann Miltzow:
Maximum Clique in Disk-Like Intersection Graphs. - Wei Leng, Lili Ju:
A diagonal sweeping domain decomposition method with trace transfer for the Helmholtz equation. - David Svitov, Sergey Alyamkin:
MarginDistillation: distillation for margin-based softmax. - Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. - Anton Petrov, Elena Popova, Alexander Petrov:
Some Aspects of a Software Reliability Problem. - (Withdrawn) AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture.
- Sarah Eberle, Bastian Harrach:
Shape Reconstruction in Linear Elasticity: Standard and Linearized Monotonicity Method. - Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh:
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making. - Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera:
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. - Alexander Krause, Christian Zirkelbach, Wilhelm Hasselbring, Stephan Lenga, Dan Kröger:
Microservice Decomposition via Static and Dynamic Analysis of the Monolith. - Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler:
BARK: Open Behavior Benchmarking in Multi-Agent Environments. - Monika Henzinger, Stefan Neumann, Andreas Wiese:
Dynamic Approximate Maximum Independent Set of Intervals, Hypercubes and Hyperrectangles. - Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. - Faizan Ur Rehman, Imad Afyouni, Ahmed Lbath, Saleh M. Basalamah:
Hadath: From Social Media Mapping to Multi-Resolution Event-Enriched Maps. - Chenghao Cai, Jing Sun, Gillian Dobbie:
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. - Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers:
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. - Taeeon Park, Taesup Moon:
Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel. - Will Trojak, Freddie D. Witherden:
Inline Vector Compression for Computational Physics. - Samuele Tosatto, Jonas Stadtmueller, Jan Peters:
Dimensionality Reduction of Movement Primitives in Parameter Space. - Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. - Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart, Juan I. Nieto:
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning. - Marcus Ebner von Eschenbach, Binyamin Manela, Jan Peters, Armin Biess:
Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms. - Carmelo Sferrazza, Thomas Bi, Raffaello D'Andrea:
Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing. - Yuri Gloumakov, Adam J. Spiers, Aaron M. Dollar:
Dimensionality Reduction and Motion Clustering during Activities of Daily Living: 3, 4, and 7 Degree-of-Freedom Arm Movements. - Jack D. Kendall, Ross D. Pantone, Juan C. Nino:
Deep Learning in Memristive Nanowire Networks. - Micha Livne, Kevin Swersky, David J. Fleet:
SentenceMIM: A Latent Variable Language Model. - Vasiliy V. Grigoriev, Oleg Iliev, Petr N. Vabishchevich:
Modified Bee Colony optimization algorithm for computational parameter identification for pore scale transport in periodic porous media. - Tamir Blum, Kazuya Yoshida:
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning. - Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause:
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. - Brandon Yam-Viramontes, Diego Alberto Mercado-Ravell:
Implementation of a Natural User Interface to Command a Drone. - Xinglong Liang, Jun Xu:
Univariate ReLU neural network and its application in nonlinear system identification. - Oscar Fontanelli, Ricardo Mansilla:
Modeling the Popularity of Twitter Hashtags with Master Equations. - Hang Chen, Vahan Huroyan, Stephen G. Kobourov:
Properties of Erdős-Rényi Graphs. - Ramy Amer, M. Majid Butt, Nicola Marchetti:
Optimizing Joint Probabilistic Caching and Channel Access for Clustered D2D Networks. - Weiqiang Wu, Jing Yang, Cong Shen:
Stochastic Linear Contextual Bandits with Diverse Contexts. - Chengying Gao, Qi Liu, Qi Xu, Jianzhuang Liu, Limin Wang, Changqing Zou:
SketchyCOCO: Image Generation from Freehand Scene Sketches. - Ece Naz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Privacy-Aware Time-Series Data Sharing with Deep Reinforcement Learning. - Luoyi Zhang, Ming Xu:
EPINE: Enhanced Proximity Information Network Embedding. - Hyeon Cho, Taehoon Kim, Hyung Jin Chang, Wonjun Hwang:
Self-Supervised Spatio-Temporal Representation Learning Using Variable Playback Speed Prediction. - Daniel Perez, Jiahua Xu, Benjamin Livshits:
We Know What They've Been Put Through: Revisiting High-scalability Blockchain Transactions. - Shun Fu, Ji Xu:
The Multi-granularity in Graph Revealed by a Generalized Leading Tree. - Javier Larrosa, Emma Rollon:
Towards a Better Understanding of (Partial Weighted) MaxSAT Proof Systems. - Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee:
Detection and Recovery of Adversarial Attacks with Injected Attractors. - Casey A. Cole, Bethany Janos, Dien Anshari, James F. Thrasher, Scott M. Strayer, Homayoun Valafar:
Recognition of Smoking Gesture Using Smart Watch Technology. - Dustin Wright, Isabelle Augenstein:
Fact Check-Worthiness Detection as Positive Unlabelled Learning. - Florian Schmidt, Thomas Hofmann:
BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward. - Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. - Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song:
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty. - Sebastian Dörner, Marcus Henninger, Sebastian Cammerer, Stephan ten Brink:
WGAN-based Autoencoder Training Over-the-air. - Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen:
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching. - Dang Duy Thang, Toshihiro Matsui:
Search Space of Adversarial Perturbations against Image Filters. - Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes:
A deep learning framework for solution and discovery in solid mechanics: linear elasticity. - Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating noisy labels by agreement: A joint training method with co-regularization. - Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. - Yanjun Pan, Qin Lin, Het Shah, John M. Dolan:
Safe Planning for Self-Driving Via Adaptive Constrained ILQR. - Maurizio Tavelli, Simone Chiocchetti, Evgeniy I. Romenski, Alice-Agnes Gabriel, Michael Dumbser:
Space-time adaptive ADER discontinuous Galerkin schemes for nonlinear hyperelasticity with material failure. - Daniel Ish, Andrew Lohn, Christian Curriden:
A Quantitative History of A.I. Research in the United States and China. - Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand:
A Geometric Perspective on Visual Imitation Learning. - Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Fioretti, Giovanni Di Gennaro, Amedeo Buonanno:
Path Planning Using Probability Tensor Flows. - Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. - Hangyu Zhu, Yaochu Jin:
Real-time Federated Evolutionary Neural Architecture Search. - Tao Hu, Lichao Huang, Han Shen:
Multi-object Tracking via End-to-end Tracklet Searching and Ranking. - Michael Dumbser, Simone Chiocchetti, Ilya Peshkov:
On numerical methods for hyperbolic PDE with curl involutions. - Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan:
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. - Glencora Borradaile, William Maxwell, Amir Nayyeri:
Minimum bounded chains and minimum homologous chains in embedded simplicial complexes. - Igor V. Tetko, Pavel Karpov, Ruud van Deursen, Guillaume Godin:
Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis. - Shan Jaffry:
Cellular Traffic Prediction with Recurrent Neural Network. - Toby Hocking, Joseph Vargovich:
Linear time dynamic programming for the exact path of optimal models selected from a finite set. - Lucas Nunes Sequeira, Bruno Moreschi, Fábio Gagliardi Cozman, Bernardo Fontes:
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate. - Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar:
Does label smoothing mitigate label noise? - Mostafa Hadadian Nejad Yousefi, Amirmasoud Ghiassi, Boshra Sadat Hashemi, Maziar Goudarzi:
Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. - Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise Feature Importance for Time-series Models. - Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jón Atli Benediktsson:
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep. - Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. - Krishna Kumar P., Paul Langton, Wolfgang Gatterbauer:
Factorized Graph Representations for Semi-Supervised Learning from Sparse Data. - Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. - Jianer Chen, Ying Guo, Qin Huang:
Linear-Time Parameterized Algorithms with Limited Local Resources. - Adam Shimi, Armando Castañeda:
K set-agreement bounds in round-based models through combinatorial topology. - Mihaela Dimovska, Donatello Materassi:
An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness. - Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan:
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. - Zhijing Li, Christopher De Sa, Adrian Sampson:
Optimizing JPEG Quantization for Classification Networks. - Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. - Joseph Poremba:
Static Symmetry Breaking in Many-Sorted Finite Model Finding. - Corentin Thomasset, David Barrera:
SERENIoT: Collaborative Network Security Policy Management and Enforcement for Smart Homes. - Priit Ulmas, Innar Liiv:
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification. - Jakub Fil, Dominique F. Chu:
Minimal spiking neuron for solving multi-label classification tasks. - Yichen Zhang, Chen Chen, Tianqi Hong, Bai Cui, Bo Chen, Feng Qiu:
Robust Synthesis of Wind Turbine Generators to Support Microgrid Frequency Considering Linearization-Induced Uncertainty. - Xiangyu Wu, Mark W. Mueller:
In-flight range optimization of multicopters using multivariable extremum seeking with adaptive step size. - Katalin Feher:
Expected participation and mentality of smart citizen in smart cities. - Juan Ignacio Perotti, Nahuel Almeira, Fabio Saracco:
Towards an information-theory for hierarchical partitions. - Debora Nozza, Federico Bianchi, Dirk Hovy:
What the [MASK]? Making Sense of Language-Specific BERT Models. - Yimeng Lu, Maryam Kamgarpour:
Safe Mission Planning under Dynamical Uncertainties. - Ping Liu, Hai Zhang:
Resolution Limit for Line Spectral Estimation: Theory and Algorithm. - Barbara Plank:
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish. - Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan:
Robustness Guarantees for Mode Estimation with an Application to Bandits. - Javier Pérez, María C. Quintana:
Linearizations of rational matrices from general representations. - Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson:
Cell-Free Massive MIMO With Radio Stripes and Sequential Uplink Processing. - Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. - Mona Gridseth, Timothy D. Barfoot:
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network. - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Straggler Robust Distributed Matrix Inverse Approximation. - István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe:
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation. - Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Sie Yuen Lee, Chris Biemann:
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System. - Rodrigo Henriquez-Auba, José Daniel Lara, Ciaran M. Roberts, Nathan Pallo, Duncan S. Callaway:
LITS.jl - An Open-Source Julia based Simulation Toolbox for Low-Inertia Power Systems. - Rohola Zandie, Mohammad H. Mahoor:
EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems. - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. - Gennaro Notomista, Siddharth Mayya, Mario Selvaggio, Maria Santos, Cristian Secchi:
A Set-Theoretic Approach to Multi-Task Execution and Prioritization. - Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. - Kazuhiro Seki, Yusuke Ikuta:
S-APIR: News-based Business Sentiment Index. - Jaeseung Byun, Simo A. Mäkiharju, Mark W. Mueller:
A flow disturbance estimation and rejection strategy of multirotors with round trip trajectories. - Dinislam Abdulgalimov, Reuben Kirkham, James Nicholson, Vasilis Vlachokyriakos, Pam Briggs, Patrick Olivier:
Designing for Employee Voice. - Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. - Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. - Avrim Blum, Chen Dan, Saeed Seddighin:
Learning Complexity of Simulated Annealing. - Xiao Ma, Ariel Liu:
Challenges in Supporting Exploratory Search through Voice Assistants. - Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. - Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen:
Novel Edge and Density Metrics for Link Cohesion. - William R. Nichols Jr.:
The Cost and Benefits of Static Analysis During Development. - Dong Yang, Monica Mengqi Li, Hong Fu, Jicong Fan, Howard Leung:
Centrality Graph Convolutional Networks for Skeleton-based Action Recognition. - Shuo Ouyang, Dezun Dong, Yemao Xu, Liquan Xiao:
Communication Optimization Strategies for Distributed Deep Learning: A Survey. - Daan Camps, Roel Van Beeumen, Chao Yang:
Quantum Fourier Transform Revisited. - Hendrik Ranocha, Lajos Lóczi, David I. Ketcheson:
General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes. - Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. - Matthias Christandl, François Le Gall, Vladimir Lysikov, Jeroen Zuiddam:
Barriers for rectangular matrix multiplication. - Kai Jia, Martin C. Rinard:
Exploiting Verified Neural Networks via Floating Point Numerical Error. - Long-fei Chen, Yuichi Nakamura, Kazuaki Kondo:
Toward Adaptive Guidance: Modeling the Variety of User Behaviors in Continuous-Skill-Improving Experiences of Machine Operation Tasks. - Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song:
DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving. - Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang:
Clean-Label Backdoor Attacks on Video Recognition Models. - Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? - Bingyao Huang, Haibin Ling:
DeLTra: Deep Light Transport for Projector-Camera Systems. - Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection. - Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong:
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. - Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. - Ying Jun Wilson Lee, Quang-Cuong Pham:
Robotic Assembly across Multiple Contact Stiffnesses with Robust Force Controllers. - Fei Li:
Weight hierarchies and weight distributions of two families of p-ary linear codes. - Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. - Vitalik Buterin, Diego Hernandez, Thor Kamphefner, Khiem Pham, Zhi Qiao, Danny Ryan, Juhyeok Sin, Ying Wang, Yan X. Zhang:
Combining GHOST and Casper. - Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Jianming Zheng:
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition. - Michal Dory, Merav Parter:
Exponentially Faster Shortest Paths in the Congested Clique. - Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh, Nguyen Hong Son, Le Tien Dung, Miku Hirano, Hajime Hotta:
Transfer Learning for Information Extraction with Limited Data. - Sattaya Singkul, Borirat Khampingyot, Nattasit Maharattamalai, Supawat Taerungruang, Tawunrat Chalothorn:
Parsing Thai Social Data: A New Challenge for Thai NLP. - Chan Hee Song, Dawn J. Lawrie, Tim Finin, James Mayfield:
Improving Neural Named Entity Recognition with Gazetteers. - Yuya Sasaki, George Fletcher, Makoto Onizuka:
Structural Indexing for Conjunctive Path Queries. - Ying Dai:
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification. - Taiping Zeng, Xiaoli Li, Bailu Si:
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method. - Hadi Hadizadeh, Ivan V. Bajic:
Soft Video Multicasting Using Adaptive Compressed Sensing. - Corey Schimpf, Brian Castellani:
COMPLEX-IT: A Case-Based Modeling and Scenario Simulation Platform for Social Inquiry. - Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin:
Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. - Christian Bertram, Heike Faßbender:
A link between gramian based model order reduction and moment matching. - István Faragó, Stefan M. Filipov:
The linearization methods as a basis to derive the relaxation and the shooting methods. - Xinrong Guan, Qingqing Wu, Rui Zhang:
Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing. - Aitor García Pablos, Naiara Pérez, Montse Cuadros:
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT. - Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. - Paloma T. Lima, Erik Jan van Leeuwen, Marieke van der Wegen:
Algorithms for the rainbow vertex coloring problem on graph classes. - Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning for Super-Resolution. - Jesse J. Hagenaars, Federico Paredes-Vallés, Sander M. Bohté, Guido C. H. E. de Croon:
Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs. - Tian Wang, Bo Yang, Cailian Chen:
Double-Layer Game Based Wireless Charging Scheduling for Electric Vehicles. - Johannes Klicpera, Janek Groß, Stephan Günnemann:
Directional Message Passing for Molecular Graphs. - Karol Gregor:
Finding online neural update rules by learning to remember. - Radha Manisha Kopparti, Tillman Weyde:
Weight Priors for Learning Identity Relations. - Harald Garcke, Robert Nürnberg:
Structure preserving discretisations of gradient flows for axisymmetric two-phase biomembranes. - Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning. - Igor Tominec, Elisabeth Larsson, Alfa R. H. Heryudono:
A least squares radial basis function finite difference method with improved stability properties. - Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto:
DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation. - Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. - Bhaskar Gautam, Oriol Ramos Terrades, Joana Maria Pujades, Miquel Valls:
Knowledge graph based methods for record linkage. - Ahmet Zahid Yalçin, Yavuz Yapici:
Multiuser Precoding for Sum-Rate Maximization in Relay-Aided mmWave Communications. - Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong:
Triple Memory Networks: a Brain-Inspired Method for Continual Learning. - Karsten Kahl, Bruno Lang:
On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination. - Tao Gu, Hung Keng Pung, Daqing Zhang:
A P2P Context Lookup Service for Multiple Smart Spaces. - Bibhas Adhikari, Biswa Nath Datta, Tinku Ganai, Michael Karow:
Updating structured matrix pencils with no spillover effect on unmeasured spectral data and deflating pair. - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. - Assyr Abdulle, Giacomo Rosilho de Souza:
Instabilities and order reduction phenomenon of an interpolation based multirate Runge-Kutta-Chebyshev method. - Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Uncovering Hidden Semantics of Set Information in Knowledge Bases. - Sarah Theres Völkel, Christina Schneegass, Malin Eiband, Daniel Buschek:
What is "Intelligent" in Intelligent User Interfaces? A Meta-Analysis of 25 Years of IUI. - Eric Guizzo, Alberto Novello:
A Neural Network Based Framework for Archetypical Sound Synthesis. - Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai:
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features. - Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Robert B. Fisher:
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs). - Patrick Hart, Leonard Rychly, Alois C. Knoll:
Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization. - Patrick Bahr, Christian Uldal Graulund, Rasmus Ejlers Møgelberg:
Diamonds are not forever: Liveness in reactive programming with guarded recursion. - Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, Audris Mockus:
Detecting and Characterizing Bots that Commit Code. - Tao Zhang, Quanyan Zhu:
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population. - Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro:
No Regret Sample Selection with Noisy Labels. - Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang:
An analysis of noise folding for low-rank matrix recovery. - Constantine Goulimis, Gastón Simone:
Can ML predict the solution value for a difficult combinatorial problem? - Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. - Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein:
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. - Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. - Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
A Neuro-AI Interface for Evaluating Generative Adversarial Networks. - Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. - Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter:
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. - Bhargav Nagaraja Bhatt, Carlo A. Furia:
Automated Repair of Resource Leaks in Android Applications. - Yu Zhang, Zhenghua Li, Houquan Zhou, Min Zhang:
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? - Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen:
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition. - William Seymour, Max Van Kleek:
Does Siri Have a Soul? Exploring Voice Assistants Through Shinto Design Fictions. - Seong Hyeon Park, Gyubok Lee, Manoj Bhat, Jimin Seo, Minseok Kang, Jonathan Francis, Ashwin R. Jadhav, Paul Pu Liang, Louis-Philippe Morency:
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding. - Orad Reshef, Igor Aharonovich, Andrea Armani, Sylvain Gigan, Rachel Grange, Mikhail A. Kats, Riccardo Sapienza:
How to organize an online conference. - Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt:
Deep Active Inference for Autonomous Robot Navigation. - Dominik Scholz, Sebastian Gallenmüller, Henning Stubbe, Bassam Jaber, Minoo Rouhi, Georg Carle:
Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes. - Péter Burcsi, Gabriele Fici, Zsuzsanna Lipták, Rajeev Raman, Joe Sawada:
Generating a Gray code for prefix normal words in amortized polylogarithmic time per word. - Sarper Aydin, Ceyhun Eksin:
Decentralized Learning-aware Communication and Communication-aware Mobility Control for the Target Assignment Problem. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Non-linear Neurons with Human-like Apical Dendrite Activations. - Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel:
Practical Annotation Strategies for Question Answering Datasets. - Kunihiro Noda, Takashi Kobayashi, Kiyoshi Agusa:
Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram. - Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu:
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search. - Mutian He, Yangqiu Song, Kun Xu, Dong Yu:
On the Role of Conceptualization in Commonsense Knowledge Graph Construction. - Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis:
Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. - Suat Gumussoy, Wim Michiels:
Computing H-infinity Norms of Time-Delay Systems. - Lihi Shiloh-Perl, Raja Giryes:
Introduction to deep learning. - Pierre Fraigniaud, Ami Paz:
The Topology of Local Computing in Networks. - Pavly Salah Zaki, Marco Magdy William, Bolis Karam Soliman, Kerolos Gamal Alexsan, Keroles K. Khalil, Magdy A. El-Moursy:
Traffic Signs Detection and Recognition System using Deep Learning. - Letizia Mariotti, Ciarán Hughes:
Spherical formulation of moving object geometric constraints for monocular fisheye cameras. - Erion Çano, Maurizio Morisio:
Quality of Word Embeddings on Sentiment Analysis Tasks. - Alberto Alvarez, José M. Font:
Learning the Designer's Preferences to Drive Evolution. - Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks. - Roberto L. Castro, Diego Andrade, Basilio B. Fraguela:
A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos. - Florian Lehmann, Daniel Buschek:
Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life. - Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov:
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. - Davide Scaini:
Wavelet-based spatial audio framework. - Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
Towards a predictive spatio-temporal representation of brain data. - Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou:
Probability Weighted Compact Feature for Domain Adaptive Retrieval. - Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta:
Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer. - Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou:
Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. - Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
DL-based CSI Feedback and Cooperative Recovery in Massive MIMO. - David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov:
Bandwidth-Aware Page Placement in NUMA. - Mikihiro Tanaka, Tatsuya Harada:
Captioning Images with Novel Objects via Online Vocabulary Expansion. - Hassan ZivariFard, Matthieu R. Bloch, Aria Nosratinia:
Keyless Covert Communication via Channel State Information. - Ricardo Filipe, Shady Issa, Paolo Romano, João Barreto:
Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures. - Marc Faddoul, Guillaume Chaslot, Hany Farid:
A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos. - Felix Sattler, Thomas Wiegand, Wojciech Samek:
Trends and Advancements in Deep Neural Network Communication. - Rui Zhou, Shiji Song, Anke Xue, Keyou You, Hui Wu:
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning. - Jori Bomanson, Tomi Janhunen:
Boosting Answer Set Optimization with Weighted Comparator Networks. - Kaushik Jayaram, Jennifer Shum, Samantha Castellanos, E. Farrell Helbling, Robert J. Wood:
Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr. - Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Generalized Parallel Tempering on Bayesian Inverse Problems. - Yousef Emam, Siddharth Mayya, Gennaro Notomista, Addison W. Bohannon, Magnus Egerstedt:
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities. - Oleksandr V. Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov:
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach. - Rui Zhou:
Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification. - Lluís Alemany-Puig, Mercè Mora, Ramon Ferrer-i-Cancho:
Reappraising the distribution of the number of edge crossings of graphs on a sphere. - Othon Michail, George Skretas, Paul G. Spirakis:
Distributed Computation and Reconfiguration in Actively Dynamic Networks. - Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua:
A Survey on Deep Hashing Methods. - Alberto Alvarez, Steve Dahlskog, José M. Font, Julian Togelius:
Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions. - Esteban Real, Chen Liang, David R. So, Quoc V. Le:
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. - Ikram Ullah, Umar Hayat, Miguel D. Bustamante:
An efficient image encryption scheme based on ordered quasi-resonant Rossby/drift wave triads and Mordell elliptic curves. - Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly:
Scalable Uncertainty for Computer Vision with Functional Variational Inference. - Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro:
Dropout: Explicit Forms and Capacity Control. - Gabriel Gomes, Juliette Ugirumurera, Xiaoye S. Li:
Distributed macroscopic traffic simulation with Open Traffic Models. - Jehanzeb H. Chaudhry, J. B. Collins:
A posteriori Error Estimation for the Spectral Deferred Correction Method. - Lalitha Muthu Subramanian, Roopa Vishwanathan, Kartick Kolachala:
Balance Transfers and Bailouts in Credit Networks using Blockchains. - Jakub Kowalski, Marek Szykula:
Experimental Studies in General Game Playing: An Experience Report. - Jiaming Zha, Xiangyu Wu, Joseph Kroeger, Natalia Perez, Mark W. Mueller:
A collision-resilient aerial vehicle with icosahedron tensegrity structure. - Mohammad Shahrad, Rodrigo Fonseca, Iñigo Goiri, Gohar Irfan Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, Ricardo Bianchini:
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. - Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. - Hangyu Mao, Zhibo Gong, Zhen Xiao:
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. - Julian Frommel, Valentin Sagl, Ansgar E. Depping, Colby Johanson, Matthew K. Miller, Regan L. Mandryk:
Recognizing Affiliation: Using Behavioural Traces to Predict the Quality of Social Interactions in Online Games. - Martin Haenggi:
SIR Analysis via Signal Fractions. - Yuval Pinter, Cassandra L. Jacobs, Max Bittker:
NYTWIT: A Dataset of Novel Words in the New York Times. - Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra:
Natural Language QA Approaches using Reasoning with External Knowledge. - Dominik Picheta:
Code Obfuscation for the C/C++ Language. - Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti:
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. - Zilong Wang, Erzhong Xue, Guang Gong:
New Constructions of Complementary Sequence Pairs over 4q-QAM. - Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. - Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Training Deep Energy-Based Models with f-Divergence Minimization. - Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell:
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. - Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler:
Deep learning for prediction of population health costs. - Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Automatic Machine Learning Derived from Scholarly Big Data. - Matthew Taylor, Ruturaj K. Vaidya, Drew Davidson, Lorenzo De Carli, Vaibhav Rastogi:
SpellBound: Defending Against Package Typosquatting. - Jingpei Lu, Ambareesh Jayakumari, Florian Richter, Yang Li, Michael C. Yip:
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction. - Shashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit Agrawal:
PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation. - Jordan Lam, Robert Abbas:
Machine Learning based Anomaly Detection for 5G Networks. - Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou:
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. - Sam M. Werner, Paul J. Pritz, Daniel Perez:
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price. - Md. Habibur Rahman Sifat, Chowdhury Rafeed Rahman, Mohammad Rafsan, Md. Hasibur Rahman:
Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern. - Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Graph Kernel Network for Partial Differential Equations. - André Flores, Rodrigo C. de Lamare, Bruno Clerckx:
Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems. - Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. - Yuxin Zhang, Zuquan Zheng, Roland Hu:
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network. - Ehsan Emamjomeh-Zadeh, Chen-Yu Wei, Haipeng Luo, David Kempe:
Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. - Wensheng Cheng, Yan Zhang, Xu Lei, Wen Yang, Guisong Xia:
Semantic Change Pattern Analysis. - Fan Zhang, Vincent K. N. Lau, Gong Zhang:
MIMO Amplify-and-Forward Precoding for Networked Control Systems. - Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang:
MatchingGAN: Matching-based Few-shot Image Generation. - Xiaojie Qi, Yindi Zhao:
Weight mechanism adding a constant in concatenation of series connect. - Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Cross-modal Learning for Multi-modal Video Categorization. - Ting-En Lin, Hua Xu:
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier. - Wenwei Xue, Hung Keng Pung, Wen Long Ng, Tao Gu:
Data Management for Context-Aware Computing. - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. - Hongliang Bi, Pengyuan Liu:
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification. - Qisheng Wang, Mingsheng Ying:
Quantum Random Access Stored-Program Machines. - Jun Han:
Scalable Approximate Inference and Some Applications. - Lingfeng Tao, Michael Bowman, Xu Zhou, Xiaoli Zhang:
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation. - Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
An Active Learning Framework for Constructing High-fidelity Mobility Maps. - Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris:
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands. - Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling portable Generative Adversarial Networks for Image Translation. - Tingbo Hou, Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Matthias Grundmann:
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision. - Vincenzo Crescimanna, Bruce Graham:
The Variational InfoMax Learning Objective. - Xinwei Yue, Yuanwei Liu, Yuanyuan Yao, Tian Li, Xuehua Li, Rongke Liu, Arumugam Nallanathan:
Outage Behaviors of NOMA-based Satellite Network over Shadowed-Rician Fading Channels. - Andreea Peca, Adriana Tapus, Amir Aly, Cristina Pop, Lavinia Jisa, Sebastian Pintea, Alina Rusu, Daniel O. David:
Exploratory Study: Children's with Autism Awareness of being Imitated by Nao Robot. - Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. - Ali Choumane, Zein Al Abidin Ibrahim:
Friend Recommendation based on Hashtags Analysis. - Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic Metaplasticity in Binarized Neural Networks. - Wansheng Wang, Mengli Mao, Zheng Wang:
Stability and error estimates for the variable step-size BDF2 method for linear and semilinear parabolic equations. - Jay Gupta, Swaprava Nath:
SkillCheck: An Incentive-based Certification System using Blockchains. - Devansh Saxena, Karla A. Badillo-Urquiola, Pamela J. Wisniewski, Shion Guha:
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System. - Eric Heiden, Luigi Palmieri, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig:
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. - Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou:
Crowd Counting via Hierarchical Scale Recalibration Network. - David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos:
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. - Aihua Mao, Canglan Dai, Lin Gao, Ying He, Yong-Jin Liu:
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
General-Purpose Communicative Function Recognition using a Hierarchical Network with Cascading Outputs and Maximum a Posteriori Path Estimation. - Edith Elkind, Neel Patel, Alan Tsang, Yair Zick:
Keeping Your Friends Close: Land Allocation with Friends. - Shiqi Zheng, Peng Shi, Ramesh K. Agarwal, Chee Peng Lim:
Periodic event-triggered output regulation for linear multi-agent systems. - Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. - Kuntal Deka, Minerva Priyadarsini, Sanjeev Sharma, Baltasar Beferull-Lozano:
Design of SCMA Codebooks Using Differential Evolution. - Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu:
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection. - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. - Tianxin Feng, Lifeng Xie, Jianping Yao, Jie Xu:
Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming. - Songyang Zhang:
An Online Learning Based Path Selection for Multipath Video Telephony Service in Overlay. - Jussi Hanhirova, Anton Debner, Matias Hyyppä, Vesa Hirvisalo:
A machine learning environment for evaluating autonomous driving software. - Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin:
StyleGAN2 Distillation for Feed-forward Image Manipulation. - Apostolos Galanopoulos, Victor Valls, George Iosifidis, Douglas J. Leith:
Measurement-driven Analysis of an Edge-Assisted Object Recognition System. - Pengli Lu, Chen Dong:
EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity. - Fang Wan, Zheng Wang, Brooke Franchuk, Xinyao Hu, Zhenglong Sun, Chaoyang Song:
Hybrid Actuator Design for a Gait Augmentation Wearable. - Apostolos Galanopoulos, Argyrios G. Tasiopoulos, George Iosifidis, Theodoros Salonidis, Douglas J. Leith:
Improving IoT Analytics through Selective Edge Execution. - Manos Athanasakos, Nicholas Kalouptsidis:
Strong Secrecy for General Multiple-Access Wiretap Channels. - Andreas Björklund, Petteri Kaski:
The Fine-Grained Complexity of Computing the Tutte Polynomial of a Linear Matroid. - Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich:
The twitter explorer: a framework for observing Twitter through interactive networks. - Nina Mazyavkina, Sergei Sviridov, Sergei Ivanov, Evgeny Burnaev:
Reinforcement Learning for Combinatorial Optimization: A Survey. - (Withdrawn) RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee.
- Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. - Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues, Marco Serafini, Luís Veiga:
Aion: Better Late than Never in Event-Time Streams. - Jaroslav Nesetril, Patrice Ossona de Mendez, Michal Pilipczuk, Xuding Zhu:
Clustering powers of sparse graphs. - Kai Wang, Zhi Zhou:
High-order Time Stepping Schemes for Semilinear Subdiffusion Equations. - Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Tao Lin, Haifeng Li:
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images. - Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu:
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies. - Radek Oslejsek, Vít Rusnák, Karolína Dockalová Burská, Valdemar Svábenský, Jan Vykopal, Jakub Cegan:
Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training. - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. - Rishab Sharma, Rahul Deora, Anirudha Vishvakarma:
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting. - Qiang Du, Zhi Zhou:
Nonlocal-in-time dynamics and crossover of diffusive regimes. - Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. - Amit P. Sheth, Swati Padhee, Amelie Gyrard:
Knowledge Graphs and Knowledge Networks: The Story in Brief. - Xin Chen, Yutong Nie, Na Li:
Online Residential Demand Response via Contextual Multi-Armed Bandits. - Kiril Solovey:
Complexity of Planning. - Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. - Hoda Abbasizanjani, Oliver Kullmann:
Classification of minimally unsatisfiable 2-CNFs. - Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka:
Inferring Spatial Uncertainty in Object Detection. - Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh:
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory. - Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy:
SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving. - Noel Kennedy, Imogen Schofield, Dave C. Brodbelt, David B. Church, Dan G. O'Neill:
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes. - Brian A. Powell:
Securing LSB embedding against structural steganalysis. - Rami Puzis, Polina Zilberman, Yuval Elovici:
ATHAFI: Agile Threat Hunting And Forensic Investigation. - Juntao Yu, Massimo Poesio:
Multi-task Learning Based Neural Bridging Reference Resolution. - Thayer Alshaabi, David Rushing Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds:
The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020. - Tianlang Chen, Jiajun Deng, Jiebo Luo:
Adaptive Offline Quintuplet Loss for Image-Text Matching. - Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. - Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. - Cao Vien Phung, Anna Engelmann, Admela Jukan:
Error Correction with Systematic RLNC in Multi-Channel THz Communication Systems. - Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang:
Dynamic Backdoor Attacks Against Machine Learning Models. - Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli:
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. - Michael Bowman, Xiaoli Zhang:
An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation. - Songyan Xin, Sethu Vijayakumar:
Online Dynamic Motion Planning and Control for Wheeled Biped Robots. - Ying Zhang, Xinan Wang, Jianhui Wang, Yingchen Zhang:
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems. - Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb, Alan Gatherer, Naofal Al-Dhahir, Brian L. Evans:
Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs. - Bo Liu:
Geometry and Topology of Deep Neural Networks' Decision Boundaries. - Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi:
Inverse Feature Learning: Feature learning based on Representation Learning of Error. - Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. - Peter Benner, Davide Palitta:
On the Solution of the Nonsymmetric T-Riccati Equation. - Hammad A. Ayyubi, Yi Yao, Ajay Divakaran:
Progressive Growing of Neural ODEs. - Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui:
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. - Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. - Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo:
Unifying Specialist Image Embedding into Universal Image Embedding. - Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li:
Transferring Cross-domain Knowledge for Video Sign Language Recognition. - Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei:
Adaptive Semantic-Visual Tree for Hierarchical Embeddings. - Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. - Li Liu, Jiong Zhang, Da Chen, Huazhong Shu, Laurent D. Cohen:
Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking. - Shuo Yang, Min Xu, Hongxun Yao:
Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory. - Shuo Feng, Yiheng Feng, Haowei Sun, Yi Zhang, Henry X. Liu:
Adaptive Testing Scenario Library Generation for Connected and Automated Vehicles. - Zhanshan (Sam) Ma:
Spatiotemporal fluctuation scaling law and metapopulation modeling of the novel coronavirus (COVID-19) and SARS outbreaks. - Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Jun Guo:
Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building. - Yu-Siang Wang, Yen-Ling Kuo, Boris Katz:
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. - Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi:
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach. - Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot:
On the Robustness of Cooperative Multi-Agent Reinforcement Learning. - Marcin Waniek, Gururaghav Raman, Bedoor K. AlShebli, Jimmy Chih-Hsien Peng, Talal Rahwan:
Traffic networks are vulnerable to disinformation attacks. - Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. - Jhanani Selvakumar, Efstathios Bakolas:
Min-Max Q-Learning for Multi-Player Pursuit-Evasion Games. - Joo-Kyung Kim, Young-Bum Kim:
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification. - Adnan Rashid, Umair Siddique, Sofiène Tahar:
Formal Verification of Cyber-Physical Systems using Theorem Proving (Invited Paper). - Ke Xu, Néstor Osvaldo Pérez-Arancibia:
Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots. - Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu:
ESBM: An Entity Summarization BenchMark. - Qingxia Liu, Gong Cheng, Yuzhong Qu:
DeepLENS: Deep Learning for Entity Summarization. - Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar:
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. - Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li:
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation. - Jia Chen, Qin Jin:
Better Captioning with Sequence-Level Exploration. - Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram, Arvind Easwaran, Luigi Glielmo:
A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings. - Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks. - Elad Plaut, Erez Ben-Yaacov, Bat El Shlomo:
Monocular 3D Object Detection in Cylindrical Images from Fisheye Cameras. - Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas:
A Benchmark for Temporal Color Constancy. - Y. V. S. Harish, Harit Pandya, Ayush Gaud, Shreya Terupally, Narasimhan Sai Shankar, K. Madhava Krishna:
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing. - Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. - Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. - Zhedong Zheng, Yi Yang:
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation. - Xin-She Yang:
Nature-Inspired Optimization Algorithms: Challenges and Open Problems. - Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Graphs, Convolutions, and Neural Networks. - Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev:
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. - Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen:
Deep Adversarial Reinforcement Learning for Object Disentangling. - Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxing Yang:
DADA: Differentiable Automatic Data Augmentation. - Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin:
Dependently Typed Knowledge Graphs. - Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. - Qian Li, San-Yang Liu, Xin-She Yang:
Influence of Initialization on the Performance of Metaheuristic Optimizers. - Anthony Bonato, Melissa A. Huggan, Trent G. Marbach, Fionn Mc Inerney:
The Game of Cops and Eternal Robbers. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. - Ana Pervan, Todd D. Murphey:
Bayesian Particles on Cyclic Graphs. - Philip Heinisch, Katharina Ostaszewski, Hendrik Ranocha:
Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL. - Federico Giaimo, Christian Berger:
Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation. - Shangsen Li, Lailong Luo, Deke Guo:
Multiset Synchronization with Counting Cuckoo Filters. - José A. Carrillo, Daniel Matthes, Marie-Therese Wolfram:
Lagrangian schemes for Wasserstein gradient flows. - Federico Giaimo, Hugo Sica de Andrade, Christian Berger:
Continuous Experimentation and the Cyber-Physical Systems challenge. An overview in literature and the industrial perspective. - Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang:
Task-Motion Planning for Safe and Efficient Urban Driving. - Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin:
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. - Kaihua Qin, Liyi Zhou, Benjamin Livshits, Arthur Gervais:
Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit. - Xinmeng Li, James Van Deventer, Soha Hassoun:
ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning. - Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak:
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences. - Jarkko Suuronen, Muhammad F. Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen:
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods. - Yongxing Wang, Peter K. Jimack, Mark A. Walkley, Olivier Pironneau:
An energy stable one-field monolithic arbitrary Lagrangian-Eulerian formulation for fluid-structure interaction. - Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Π-nets: Deep Polynomial Neural Networks. - Marco Antoniotti:
Why You Cannot (Yet) Write an "Interval Arithmetic" Library in Common Lisp. - Lorenzo Nespoli, Vasco Medici:
Multivariate Boosted Trees and Applications to Forecasting and Control. - Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. - Lucileide M. D. Da Silva, Maria G. F. Coutinho, Carlos E. B. Santos, Mailson Ribeiro Santos, Luiz Affonso Guedes, M. Dolores Ruiz, Marcelo A. C. Fernandes:
Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection. - Vahid Garousi, Austen Rainer, Per Lauvås Jr., Andrea Arcuri:
Software-testing education: A systematic literature mapping. - Simon Fowler, Simon D. Harding, Joanna L. Sharman, James Cheney:
Cross-tier web programming for curated databases: A case study. - Sharjeel Khan, Girish Mururu, Santosh Pande:
A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks. - Suat Gumussoy, Marc Millstone, Michael L. Overton:
H-infinity Strong Stabilization via HIFOO, a Package for Fixed-Order Controller Design. - Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva:
A Tracking System For Baseball Game Reconstruction. - Lingling Fan, Zhixin Miao:
A Modular Small-Signal Analysis Framework for Inverter Penetrated Power Grids: Measurement, Assembling, Aggregation, and Stability Assessment. - Abubakar Abid, James Y. Zou:
Improving Training on Noisy Stuctured Labels. - Wojciech Jamroga, Wojciech Penczek, Teofil Sidoruk:
Strategic Abilities of Asynchronous Agents: Semantic Paradoxes and How to Tame Them. - Pierre Miasnikof, Seo Hong, Yuri A. Lawryshyn:
Graph Clustering Via QUBO and Digital Annealing. - Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin:
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. - Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. - Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. - Yong Liu, Lizhong Ding, Weiping Wang:
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS. - Yong Liu, Lizhong Ding, Weiping Wang:
Nearly Optimal Clustering Risk Bounds for Kernel K-Means. - Hendrik Ranocha, Jan Nordström:
A Class of A Stable Summation by Parts Time Integration Schemes. - Nursefa Zengin, Baris Fidan:
Adaptive Extremum Seeking Using Recursive Least Squares. - Yihe Dong, Will Sawin:
COPT: Coordinated Optimal Transport on Graphs. - Jinran Wu, You-Gan Wang:
A working likelihood approach to support vector regression with a data-driven insensitivity parameter. - Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake:
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. - Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. - Axel Barrau, Silvère Bonnabel:
A Mathematical Framework for IMU Error Propagation with Applications to Preintegration. - Ryan Self, Moad Abudia, Rushikesh Kamalapurkar:
Online inverse reinforcement learning with unknown disturbances. - Zhanpeng Zhang, Kaipeng Zhang:
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. - Josef Dick, Takashi Goda, Hiroya Murata:
Toeplitz Monte Carlo. - (Withdrawn) BitTensor: An Intermodel Intelligence Measure.
- Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng X. Cao, Heng Zhao:
ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention. - Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren:
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. - Xu Yang, Hanwang Zhang, Jianfei Cai:
Deconfounded Image Captioning: A Causal Retrospect. - Tengyang Xie, Nan Jiang:
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison. - Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza:
Geometry-aware Compensation Scheme for Morphing Drones. - Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso, Dana S. Nau:
Integrating Acting, Planning and Learning in Hierarchical Operational Models. - Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. - Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao:
MCMC Guided CNN Training and Segmentation for Pancreas Extraction. - Wonchul Son, Youngbin Kim, Wonseok Song, Youngsu Moon, Wonjun Hwang:
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network. - Sanjoy Dasgupta, Sivan Sabato:
Robust Learning from Discriminative Feature Feedback. - Yue Feng:
Long time error analysis of the fourth-order compact finite difference methods for the nonlinear Klein-Gordon equation with weak nonlinearity. - Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot:
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. - Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. - Andrew Frohmader:
Adaptive Fibonacci and Pairing Heaps. - Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto:
Metric Learning for Ordered Labeled Trees with pq-grams. - Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. - Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen:
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network. - Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu:
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS. - Hepeng Zhang, Quan Quan:
Fast Collision Probability Estimation Based on Finite-Dimensional Monte Carlo Method. - Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. - Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. - Yuan Zhang, Yuanqing Xia, Han Gao, Guangchen Zhang:
Structural Controllability of Undirected Diffusive Networks with Vector-Weighted Edges. - Mingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen:
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading. - Gernot Herbst, Arne-Jens Hempel, Thomas Göhrt, Stefan Streif:
Half-Gain Tuning for Active Disturbance Rejection Control. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. - Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. - Dan-Li Zhi, Zhi-Hui Li, Zhao-Wei Han, Li-Juan Liu:
A Verifiable Quantum Secret Sharing Scheme Based on a Single Qubit. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Land Cover Classification. - Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xinyu Zhou, Erjin Zhou, Xiangyu Zhang, Jian Sun:
Learning Delicate Local Representations for Multi-Person Pose Estimation. - Wanqiu Long, Xinyi Cai, James E. M. Reid, Bonnie Webber, Deyi Xiong:
Shallow Discourse Annotation for Chinese TED Talks. - Yuanzhi Li, Zehao Dou:
When can Wasserstein GANs minimize Wasserstein Distance? - Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan:
Transformation-based Adversarial Video Prediction on Large-Scale Data. - Xunjie Zhu, Gerard de Melo:
Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings. - Xiang Li, Peng Wang:
TEDL: A Text Encryption Method Based on Deep Learning. - Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. - Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. - Bert Cox, Liesbet Van der Perre, Stijn Wielandt, Geoffrey Ottoy, Lieven De Strycker:
High Precision Hybrid RF and Ultrasonic Chirp-based Ranging for Low-Power IoT Nodes. - Simon Becher, Gunar Matthies:
Variational Time Discretizations of Higher Order and Higher Regularity. - Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation using Graph Embedding. - Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare:
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. - Fangbin Wan, Yang Wu, Xuelin Qian, Yanwei Fu:
When Person Re-identification Meets Changing Clothes. - Tobias Daudert:
A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus. - Chaimae Asaad, Karim Baïna, Mounir Ghogho:
NoSQL Databases: Yearning for Disambiguation. - Ryoma Sato:
A Survey on The Expressive Power of Graph Neural Networks. - Gonzalo Marín, Pedro Casas, Germán Capdehourat:
DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. - Pedro Casas:
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions. - Kailin Tong, Zlatan Ajanovic, Georg Stettinger:
Overview of Tools Supporting Planning for Automated Driving. - Jingren Xu, Keisuke Koyama, Weiwei Wan, Yukiyasu Domae, Kensuke Harada:
Selecting and Designing Grippers for an Assembly Task in a Structured Approach. - Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao:
Searching Central Difference Convolutional Networks for Face Anti-Spoofing. - Mikolaj Wieczorek, Andrzej Michalowski, Anna Wróblewska, Jacek Dabrowski:
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models. - Stefan Eckhardt, Sven Kosub, Johannes Nowak:
Smoothed Analysis of Trie Height by Star-like PFAs. - Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
Flexible numerical optimization with ensmallen. - Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. - M. G. Sarwar Murshed, Edward Verenich, James J. Carroll, Nazar Khan, Faraz Hussain:
Hazard Detection in Supermarkets using Deep Learning on the Edge. - Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes. - Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew R. Scott:
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection. - Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman:
Sets Clustering. - Vince Kurtz, Patrick M. Wensing, Hai Lin:
Robust Approximate Simulation for Hierarchical Control of Linear Systems under Disturbances. - Jialin Gao, Zhixiang Shi, Jiani Li, Guanshuo Wang, Yufeng Yuan, Shiming Ge, Xi Zhou:
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. - Pulkit A. Misra, Srihari Radhakrishnan, Jeffrey S. Chase, Johannes Gehrke, Alvin R. Lebeck:
Lightweight Inter-transaction Caching with Precise Clocks and Dynamic Self-invalidation. - Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste:
Embedding Propagation: Smoother Manifold for Few-Shot Classification. - Derek Ruths, Caitrin Armstrong:
The Residence History Inference Problem. - Giovanni Cioffi, Davide Scaramuzza:
Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry. - Marciano da Rocha, Dalton Cézane Gomes Valadares, Angelo Perkusich, Kyller Costa Gorgônio, Rodrigo Tomaz Pagno, Newton Carlos Will:
Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment. - Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved, Erik Blasch:
I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries. - Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev:
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. - Zhilin Chen, Foad Sohrabi, Ya-Feng Liu, Wei Yu:
Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO. - Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko:
A Uniform Treatment of Aggregates and Constraints in Hybrid ASP. - Ziv Aharoni, Dor Tsur, Ziv Goldfeld, Haim Henri Permuter:
Capacity of Continuous Channels with Memory via Directed Information Neural Estimator. - Pritish Kamath, Omar Montasser, Nathan Srebro:
Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. - Gurcan Comert, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury:
Change Point Models for Real-time Cyber Attack Detection in Connected Vehicle Environment. - Yu He, Yun Cai, Yuan-Chen Guo, Zheng-Ning Liu, Shao-Kui Zhang, Song-Hai Zhang, Hongbo Fu, Sheng-Yong Chen:
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis. - Alejandro Barrera, Carlos Guindel, Jorge Beltrán, Fernando García:
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View. - Nima Mohammadi Meshky, Sara Iodice, Krystian Mikolajczyk:
Domain Adversarial Training for Infrared-colour Person Re-Identification. - Piji Li:
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation. - Neda Navidi:
Human AI interaction loop training: New approach for interactive reinforcement learning. - Hongbo Zou, Hsuanwei Michelle Chen, Sharmistha Dey:
Engaging Users through Social Media in Public Libraries. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. - Rania Ibrahim, David F. Gleich:
Local Hypergraph Clustering using Capacity Releasing Diffusion. - Bernd Finkbeiner, Christopher Hahn, Markus N. Rabe, Frederik Schmitt:
Teaching Temporal Logics to Neural Networks. - Roberto Sebastiani:
Are You Satisfied by This Partial Assignment? - Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton:
Towards Modular Algorithm Induction. - Piotr Padlewski, Krzysztof Pszeniczny, Richard Smith:
Modeling the Invariance of Virtual Pointers in LLVM. - Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu:
Hierarchical Kinematic Human Mesh Recovery. - Pratham Oza, Mahsa Foruhandeh, Ryan M. Gerdes, Thidapat Chantem:
Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers. - David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Towards Probabilistic Verification of Machine Unlearning. - Brendan John, Sophie Jörg, Sanjeev J. Koppal, Eakta Jain:
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars. - Tsigigenet Dessalgn, Seungmo Kim:
Danger Aware Vehicular Networking. - Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. - Lars Jaffke, Paloma T. Lima, Daniel Lokshtanov:
b-Coloring Parameterized by Clique-Width. - Célestin Coquidé, Wlodzimierz Lewoniewski:
Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact. - Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. - Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura, Ken Sakurada:
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera. - Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data. - Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen:
Cascaded Human-Object Interaction Recognition. - Meng Zhang, Deepanshu Vasal:
Mechanism design for large scale systems. - Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization. - Zhongdong Liu, Liang Huang, Bin Li, Bo Ji:
Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study. - Saket Dingliwal, Divyansh Pareek, Jatin Arora:
Finding Input Characterizations for Output Properties in ReLU Neural Networks. - Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling Human Active Search in Optimizing Black-box Functions. - Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. - Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Video Restoration with Pseudo Clean Video. - Vida Dujmovic, Louis Esperet, Gwenaël Joret, Cyril Gavoille, Piotr Micek, Pat Morin:
Adjacency Labelling for Planar Graphs (and Beyond). - Behzad Ghazanfari, Fatemeh Afghah:
Deep Inverse Feature Learning: A Representation Learning of Error. - Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos:
Knowledge distillation via adaptive instance normalization. - Karan P. Jain, Jerry Tang, Koushil Sreenath, Mark W. Mueller:
Staging energy sources to extend flight time of a multirotor UAV. - Mahdi Karami, Dale Schuurmans:
Variational Inference for Deep Probabilistic Canonical Correlation Analysis. - Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou:
Compiling Neural Networks for a Computational Memory Accelerator. - Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang:
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach. - Chu Guo, Dario Poletti:
A scheme for automatic differentiation of complex loss functions. - Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. - Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He:
Improved Baselines with Momentum Contrastive Learning. - Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
Multi-modal Self-Supervision from Generalized Data Transformations. - Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Learning discrete state abstractions with deep variational inference. - Li-Juan Liu, Zhi-Hui Li, Zhao-Wei Han, Dan-Li Zhi:
A quantum secret sharing scheme with verifiable function. - Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld:
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. - Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. - Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang:
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. - Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto:
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. - Anirudh Paranjothi:
Performance Analysis of Message Dissemination Techniques in VANET using Fog Computing. - Rahul Sharma, Krishna Somandepalli, Shrikanth Narayanan:
Crossmodal learning for audio-visual speech event localization. - Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner:
Low-viewpoint forest depth dataset for sparse rover swarms. - Vaishali V. Ingale, Pushpender Singh:
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model. - Haoyuan Sun, David Grimsman, Jason R. Marden:
Distributed Submodular Maximization with Parallel Execution. - Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection. - Kumar Sankar Ray, Sandip Paul, Diganta Saha:
Belief Base Revision for Further Improvement of Unified Answer Set Programming. - Songyang Han, Fei Miao:
Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. - Mujahid Sultan:
Probabilistic Partitive Partitioning (PPP). - Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund:
UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset. - J. Armando Colunga, Héctor M. Becerra, Carlos Renato Vázquez, David Gómez-Gutiérrez:
Predefined-Time Consensus of High-Order Multi-Agent Systems. - Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. - Hassan Shokouhandeh, MahmoodReza Ghaharpour, Hamid Ghobadi Lamouki, Yaser Rahmani Pashakolaei, Fatemeh Rahmani, Mahmood Hosseini Imani:
Optimal Estimation of Capacity and Location of Wind, Solar and Fuel Cell Sources in Distribution Systems Considering Load Changes by Lightning Search Algorithm. - Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Automating Representation Discovery with MAP-Elites. - Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell:
A New Meta-Baseline for Few-Shot Learning. - Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. - Ruochen Yin, Biao Yu, Huapeng Wu, Yuntao Song, Runxin Niu:
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Jean-Baptiste Mouret, Glenn Maguire:
Quality Diversity for Multi-task Optimization. - Pierre Laclau, Vladislav Tempez, Franck Ruffier, Enrico Natalizio, Jean-Baptiste Mouret:
Signal-based self-organization of a chain of UAVs for subterranean exploration. - Wentao Wu:
A Note On Operator-Level Query Execution Cost Modeling. - Diego Figueira, Adwait Godbole, S. Krishna, Wim Martens, Matthias Niewerth, Tina Trautner:
Containment of Simple Regular Path Queries. - Rémi Giraud, Yannick Berthoumieu:
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching. - Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. - Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström:
Finite-Length Scaling of Spatially Coupled LDPC Codes Under Window Decoding Over the BEC. - Johannes Schneider:
Correlated Initialization for Correlated Data. - Andrew T. Barker, Stephan V. Gelever, Chak Shing Lee, Sarah V. Osborn, Panayot S. Vassilevski:
Multilevel spectral coarsening for graph Laplacian problems with application to reservoir simulation. - Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha:
CMetric: A Driving Behavior Measure Using Centrality Functions. - Christos Karapapas, Iakovos Pittaras, Nikos Fotiou, George C. Polyzos:
Ransomware as a Service using Smart Contracts and IPFS. - Yan Zhang, Michael M. Zavlanos:
Transfer Reinforcement Learning under Unobserved Contextual Information. - Rémi Giraud, Merlin Boyer, Michaël Clément:
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors. - Federico Giaimo, Hugo Sica de Andrade, Christian Berger:
The Automotive Take on Continuous Experimentation: A Multiple Case Study. - Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree Search. - Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker:
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. - Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Set-Structured Latent Representations. - Hamid Shiri, Jihong Park, Mehdi Bennis:
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory. - Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim:
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection. - Sarah Bird, Vikas Mishra, Steven Englehardt, Rob Willoughby, David Zeber, Walter Rudametkin, Martin Lopatka:
Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection. - Alexandre Pineault, Guillaume-Alexandre Bilodeau, Gilles Pesant:
Tracking Road Users using Constraint Programming. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Warehouse and Decision Support on Integrated Crop Big Data. - Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George:
Learning a generative model for robot control using visual feedback. - Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon:
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. - Davoud Mougouei:
Engineering Human Values in Software through Value Programming. - Essam A. Rashed, M. Samir Abou El-Seoud:
Deep learning approach for breast cancer diagnosis. - Changkun Jiang, Lin Gao, Tong Wang, Yufei Jiang, Jianqiang Li:
Crowd-MECS: A Novel Crowdsourcing Framework for Mobile Edge Caching and Sharing. - Keqin Liu:
Graded Automatic Differentiation. - Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee:
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations. - Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. - Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor-Based Learning for Multi-Way Data. - Lucian Cojocar, Jeremie S. Kim, Minesh Patel, Lillian Tsai, Stefan Saroiu, Alec Wolman, Onur Mutlu:
Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers. - Rui Zhang, Yunxing Zhang, Xuelong Li:
Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. - Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer:
Closure Properties for Private Classification and Online Prediction. - Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. - Vamsi K. Vegamoor, Shaojie Yan, Sivakumar Rathinam, Swaroop Darbha:
Mobility and Safety Benefits of Connectivity in CACC Vehicle Strings. - Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti:
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. - Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. - Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to be Global Optimizer. - Xudong Chen:
Controllability Issues of Linear Ensemble Systems. - Kang-Hee Cho, Si-Hyeon Lee:
Treating Interference as Noise is Optimal for Covert Communication over Interference Channels. - K. Palani Thanaraj, B. Parvathavarthini, Urcun John Tanik, V. Rajinikanth, Seifedine Nimer Kadry, Krishnamurthy Kamalanand:
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis. - Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao:
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy. - Dingzhu Wen, Mehdi Bennis, Kaibin Huang:
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning. - Kaixuan Wei, Ying Fu, Hua Huang:
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. - Ki Hyun Tae, Steven Euijong Whang:
Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models. - Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen Hoang Tran, Sultan S. Alshamrani, Mehedi Masud, Zhu Han, Choong Seon Hong:
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks. - Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz:
A Least-Squares Finite Element Reduced Basis Method. - Andrea Natale, Gabriele Todeschi:
A mixed finite element discretization of dynamical optimal transport. - Ronen Basri, Meirav Galun, Amnon Geifman, David W. Jacobs, Yoni Kasten, Shira Kritchman:
Frequency Bias in Neural Networks for Input of Non-Uniform Density. - Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu:
Channel Pruning via Optimal Thresholding. - Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty:
Ecological Semantics: Programming Environments for Situated Language Understanding. - Chenjie Wang, Bin Luo, Yun Zhang, Qing Zhao, Lu Yin, Wei Wang, Xin Su, Yajun Wang, Chengyuan Li:
DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation. - Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. - Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. - Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Tatjana Stykel:
Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches. - René van Bevern, Pavel V. Smirnov:
Optimal-size problem kernels for d-Hitting Set in linear time and space. - Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll:
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style. - Soumya Kanti Mahapatra, K. P. Ashwin, Ashitava Ghosal:
3D printed cable-driven continuum robots with generally routed cables: modeling and experiments. - Toby Thomas, David M. Bossens, Danesh Tarapore:
ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves. - Zhenshan Bing, Claus Meschede, Guang Chen, Alois C. Knoll, Kai Huang:
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle. - Dominique Larchey-Wendling, Yannick Forster:
Hilbert's Tenth Problem in Coq. - Ivan Bliznets, Danil Sagunov:
Maximizing Happiness in Graphs of Bounded Clique-Width. - Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. - Jin-Guo Liu, Taine Zhao:
Differentiate Everything with a Reversible Programming Language. - Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. - Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen:
Hierarchical Neural Architecture Search for Single Image Super-Resolution. - Roy Sheffer, Ami Wiesel:
PnP-Net: A hybrid Perspective-n-Point Network. - Alberto Fiori, Christoph Weidenbach:
SCL with Theory Constraints. - Ygor Gallina, Florian Boudin, Béatrice Daille:
Large-Scale Evaluation of Keyphrase Extraction Models. - Laura Barker, Pamela Fleischmann, Katharina Harwardt, Florin Manea, Dirk Nowotka:
Scattered Factor-Universality of Words. - Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho:
Lagrangian Neural Networks. - Stefano Dafarra, Giulio Romualdi, Giorgio Metta, Daniele Pucci:
Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach. - Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang:
MQA: Answering the Question via Robotic Manipulation. - Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. - Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. - Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski:
Enabling Viewpoint Learning through Dynamic Label Generation. - Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi:
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. - Martin J. Kraemer, Ulrik Lyngs, Helena Webb, Ivan Flechais:
Further Exploring Communal Technology Use in Smart Homes: Social Expectations. - Rituraj Kaushik, Timothée Anne, Jean-Baptiste Mouret:
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors. - Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. - Aline Brito, André C. Hora, Marco Túlio Valente:
Refactoring Graphs: Assessing Refactoring over Time. - Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. - Xi Li, Huimin Ma, Sheng Yi, Yanxian Chen:
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class. - Suat Gumussoy, Wim Michiels:
Continuation Based Computation of Root-Locus for SISO Dead-Time Systems. - Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. - Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. - Suat Gumussoy, Pascal Gahinet:
Computer Aided Control System Design for Time Delay Systems using MATLAB. - Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. - Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara:
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain. - Hossein Shokri Ghadikolaei, Sindri Magnússon:
Communication-efficient Variance-reduced Stochastic Gradient Descent. - Hirshikesh, Emilio Martínez-Pañeda, Sundararajan Natarajan:
Adaptive phase field modelling of crack propagation in orthotropic functionally graded materials. - Timotheus Kampik, Juan Carlos Nieves:
JS-son - A Lean, Extensible JavaScript Agent Programming Library. - Alexander Freij, Shougang Yuan, Huiyang Zhou, Yan Solihin:
Streamlining Integrity Tree Updates for Secure Persistent Non-Volatile Memory. - Suat Gumussoy, Wim Michiels:
On the sensitivity of the H-infinity norm of systems described by delay differential algebraic equations. - Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. - Pavel Spacek, Jan Komenda, Sébastien Lahaye:
Analysis of P-time Event Graphs in (Max, +) and (Min, +) Algebras. - Alessandro Oltramari, Jonathan Francis, Cory A. Henson, Kaixin Ma, Ruwan Wickramarachchi:
Neuro-symbolic Architectures for Context Understanding. - Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. - Danijela Markovic, Alice Mizrahi, Damien Querlioz, Julie Grollier:
Physics for Neuromorphic Computing. - Valeria de Paiva, Apostolos Syropoulos:
Dialectica Fuzzy Petri Nets. - Qian Li, San-Yang Liu, Xin-She Yang:
Neighborhood Information-based Probabilistic Algorithm for Network Disintegration. - Ali Tayyebi, Dominic Groß, Adolfo Anta, Friederich Kupzog, Florian Dörfler:
Frequency Stability of Synchronous Machines and Grid-Forming Power Converters. - Jinshan Pan, Songsheng Cheng, Jiawei Zhang, Jinhui Tang:
Deep Blind Video Super-resolution. - Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. - Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Single Image Denoising with Pseudo Clean Image. - Rosana Veroneze, Fernando J. Von Zuben:
New advances in enumerative biclustering algorithms with online partitioning. - Laura Bozzelli, Aniello Murano, Adriano Peron:
Module checking of pushdown multi-agent systems. - Raphaël Berthon, Bastien Maubert, Aniello Murano, Sasha Rubin, Moshe Y. Vardi:
Strategy Logic with Imperfect Information. - Balaji Ganesan, Gayatri Mishra, Srinivas Parkala, Neeraj R. Singh, Hima Patel, Somashekar Naganna:
Link Prediction using Graph Neural Networks for Master Data Management. - Rui Zhang, Quanyan Zhu:
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM. - Theja Tulabandhula, Deeksha Sinha:
Optimizing Revenue while showing Relevant Assortments at Scale. - Suat Gumussoy, Wim Michiels:
Computing the Pseudospectral Abscissa of Time-Delay Systems. - Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. - Steven Chaplick, Henry Förster, Myroslav Kryven, Alexander Wolff:
Drawing Graphs with Circular Arcs and Right Angle Crossings. - Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman:
Rainy screens: Collecting rainy datasets, indoors. - Davoud Mougouei:
An Integer Programming Model for Embedding Social Values into Software Requirement Selection. - Daniel Duberg, Patric Jensfelt:
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown. - Lukasz Debowski:
On a Class of Markov Order Estimators Based on PPM and Other Universal Codes. - Jailton Coelho, Marco Túlio Valente, Luciano Milen, Luciana Lourdes Silva:
Is this GitHub Project Maintained? Measuring the Level of Maintenance Activity of Open-Source Projects. - Mouktar Bello, Wenjuan Yu, Arsenia Chorti, Leila Musavian:
Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints. - Gleison Brito, Marco Túlio Valente:
REST vs GraphQL: A Controlled Experiment. - Hatoon S. AlSagri, Mourad Ykhlef:
Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features. - Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang:
An Optimal Condition of Robust Low-rank Matrices Recovery. - Pratik Suchde:
A Meshfree Lagrangian Method for Flow on Manifolds. - Mobarakol Islam, Vibashan VS, Hongliang Ren:
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery. - Najla Akram Al-Saati, Marwa Abd-AlKareem Alabajee:
A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence. - Peter J. Seiler, Andrew K. Packard, Pascal Gahinet:
An Introduction to Disk Margins. - Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction. - François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal Symmetric Nonnegative Matrix Factorization. - Carl Christian Kjelgaard Mikkelsen, Mirko Myllykoski:
Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils. - Biao Gao, Anran Xu, Yancheng Pan, Xijun Zhao, Wen Yao, Huijing Zhao:
Off-Road Drivable Area Extraction Using 3D LiDAR Data. - Fabrizio F. Borelli, Gabriela Oliveira Biondi, Flávio E. A. Horita, Carlos Kamienski:
Architectural Software Patterns for the Development of IoT Smart Applications. - Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl:
Reconstruction of 3D flight trajectories from ad-hoc camera networks. - Toby Murray:
An Under-Approximate Relational Logic: Heralding Logics of Insecurity, Incorrect Implementation & More. - Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet:
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. - Benjamin Paassen, Alexander Schulz:
Reservoir memory machines. - Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo:
Addressing multiple metrics of group fairness in data-driven decision making. - Rui Tang, Wenlong Song, Xiaoping Guan, Huibin Ge, Deke Kong:
Dam Burst: A region-merging-based image segmentation method. - Franziska Maria Tachtler, Toni Michel, Petr Slovák, Geraldine Fitzpatrick:
Supporting the Supporters of Unaccompanied Migrant Youth: Designing for Social-ecological Resilience. - Michal R. Przybylek:
Beyond sets with atoms: definability in first order logic. - Davoud Mougouei, David M. W. Powers:
A Fuzzy-Based Optimization Method for Integrating Value Dependencies into Software Requirement Selection. - Iñigo Casanueva, Tadas Temcinas, Daniela Gerz, Matthew Henderson, Ivan Vulic:
Efficient Intent Detection with Dual Sentence Encoders. - Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel:
Undersensitivity in Neural Reading Comprehension. - Benedek Rozemberczki, Oliver Kiss, Rik Sarkar:
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. - Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez:
SAD: Saliency-based Defenses Against Adversarial Examples. - Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav:
Benchmarking TinyML Systems: Challenges and Direction. - Nicolò Ruggeri, Caterina De Bacco:
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures. - Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci:
In Datacenter Performance, The Only Constant Is Change. - Anuj Sharma, Syed Mohammed Arshad Zaidi:
Optimizations to the Parallel Breath First Search on Distributed Memory. - Markus Bläser, Christian Ikenmeyer, Meena Mahajan, Anurag Pandey, Nitin Saurabh:
Algebraic Branching Programs, Border Complexity, and Tangent Spaces. - Flavio Cirillo, David Gómez, Luis Díez, Ignacio Elicegui Maestro, Thomas Barrie Juel Gilbert, Reza Akhavan:
Smart City IoT Services Creation through Large Scale Collaboration. - Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing with Typed Part-Relation Reasoning. - Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-level Human-centric Video Dataset. - Yuqian Zhou, David Ren, Neil Emerton, Sehoon Lim, Timothy A. Large:
Image Restoration for Under-Display Camera. - Yihao Zhao, Ruihai Wu, Hao Dong:
Unpaired Image-to-Image Translation using Adversarial Consistency Loss. - Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network. - Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. - Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi:
Video Caption Dataset for Describing Human Actions in Japanese. - Ivan Vulic, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen:
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity. - Philipp Markert, Daniel V. Bailey, Maximilian Golla, Markus Dürmuth, Adam J. Aviv:
This PIN Can Be Easily Guessed. - Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell:
Neural Networks are Surprisingly Modular. - José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. - Nicholas Carlini, Matthew Jagielski, Ilya Mironov:
Cryptanalytic Extraction of Neural Network Models. - Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian J. McAuley:
ReZero is All You Need: Fast Convergence at Large Depth. - Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin:
Learning Diverse Fashion Collocation by Neural Graph Filtering. - Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi:
RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification. - Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation. - Raphael Thiago, Renan Souza, Leonardo Azevedo, Eduardo E. M. Soares, Rodrigo C. M. Santos, Wallas Henrique S. dos Santos, Maximilien de Bayser, Marcelo Cardoso, Márcio Ferreira Moreno, Renato Cerqueira:
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case. - Chandra Sharma, George T. Amariucai:
A Practical Approach to Navigating the Tradeoff Between Privacy and Precise Utility. - Shengzheng Kang, Hongtao Wu, Yao Li, Shengdong Yu, Xiaolong Yang, Jiafeng Yao:
A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity. - Richard Connor Lawson, Linda Wills, Panagiotis Tsiotras:
GPU Parallelization of Policy Iteration RRT#. - Saad Qadeer, Boyce E. Griffith:
The Smooth Forcing Extension Method: A High-Order Technique for Solving Elliptic Equations on Complex Domains. - Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. - Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. - Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford:
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images. - Mohit Srinivasan, Amogh Dabholkar, Samuel Coogan, Patricio A. Vela:
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach. - Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan:
Interval Temporal Logic Decision Tree Learning. - Zexiang Liu, Liren Yang, Necmiye Ozay:
Scalable Computation of Controlled Invariant Sets for Discrete-Time Linear Systems with Input Delays. - Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen:
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks. - Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. - Shubhankar Mohapatra, Nauman Ahmed, Paulo S. C. Alencar:
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. - Gunjan Ansari, Chandni Saxena, Tanvir Ahmad, M. N. Doja:
Aspect Term Extraction using Graph-based Semi-Supervised Learning. - Nisha Panwar, Shantanu Sharma, Peeyush Gupta, Dhrubajyoti Ghosh, Sharad Mehrotra, Nalini Venkatasubramanian:
IoT Expunge: Implementing Verifiable Retention of IoT Data. - Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni:
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining. - Zachary Lindner:
A Comparative Study of Sequence Classification Models for Privacy Policy Coverage Analysis. - Neha Singh, Nirmalya Roy, Aryya Gangopadhyay:
Localized Flood DetectionWith Minimal Labeled Social Media Data Using Transfer Learning. - Prakhar Thapak, Prodip Hore:
Transformer++. - Zahra Shekarchi, Yang Xu:
A Computational Investigation on Denominalization. - Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. - Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo, John Voong, Wenda Xu, Armand Nasseri, Jiaru Cai, Linda Li, Kevin Vuong, Eshan Wadhwa:
Fake News Detection with Different Models. - Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer:
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. - Xinyi Zhou, Jindi Wu, Reza Zafarani:
SAFE: Similarity-Aware Multi-Modal Fake News Detection. - Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. - Reza Fotohi:
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system. - Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. - Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho B. Mokgonyane, Rethabile Mokoena, Abiodun Modupe:
Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi. - Shi Yu, Yuxin Chen, Hussain Zaidi:
A Financial Service Chatbot based on Deep Bidirectional Transformers. - Vishwas Suryanarayanan, Barun Patra, Pamela Bhattacharya, Chala Fufa, Charles Lee:
ScopeIt: Scoping Task Relevant Sentences in Documents. - Jitin Krishnan, Hemant Purohit, Huzefa Rangwala:
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services. - Hui Wan:
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. - Siyi Liu, Ziang Leng, Derry Wijaya:
Learning to mirror speaking styles incrementally. - Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang:
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. - Fabio Massimo Zanzotto, Viviana Bono, Paola Vocca, Andrea Santilli, Danilo Croce, Giorgio Gambosi, Roberto Basili:
GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers. - Philip T. Kortum, Michael D. Byrne, Julie Whitmore:
Voter Verification of BMD Ballots Is a Two-Part Question: Can They? Mostly, They Can. Do They? Mostly, They Don't. - Yitong Li, Dianqi Li, Sushant Prakash, Peng Wang:
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions. - Zheng Yang, Bin Xu, Jingyao Dai, Tao Gu:
PAS: Prediction-based Adaptive Sleeping for Environment Monitoring in Sensor Networks. - Tao Gu, Hung Keng Pung, Daqing Zhang:
A Hierarchical Semantic Overlay for P2P Search. - Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi, Carlo Michele Valensise, Emanuele Brugnoli, Ana Lucía Schmidt, Paola Zola, Fabiana Zollo, Antonio Scala:
The COVID-19 Social Media Infodemic. - Shreyank N. Gowda, Chun Yuan:
Using an ensemble color space model to tackle adversarial examples. - Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno:
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. - Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-line Minimal Problems under Partial Visibility in Three Views. - Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. - Vít Novotný, Eniafe Festus Ayetiran, Michal Stefánik, Petr Sojka:
Text classification with word embedding regularization and soft similarity measure. - Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation from Unlabeled Videos. - Dave Dice, Alex Kogan:
Fissile Locks. - Max Van Kleek:
Super-reflective Data: Speculative Imaginings of a World Where Data Works for People. - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi:
SuperMix: Supervising the Mixing Data Augmentation. - Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot L. Siegel:
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. - Rukayat Ayomide Erinfolami, Aravind Prakash:
Devil is Virtual: Reversing Virtual Inheritance in C++ Binaries. - Vuong M. Ngo, M. Tahar Kechadi:
Crop Knowledge Discovery Based on Agricultural Big Data Integration. - Sucheol Kim, Junil Choi, Jiho Song:
Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays. - Tao Gu, Xiaohang Wang, Hung Keng Pung, Da-Qing Zhang:
An Ontology-based Context Model in Intelligent Environments. - Nitish Mital, Deniz Gündüz, Cong Ling:
Coded Caching in Multi-server System with Random Topology. - Sara Morsy, George Karypis:
Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction. - Maria Bortos, Joe Gildea, Abidin Kaya, Adrian Korban, Alexander Tylyshchak:
New Self-Dual Codes of length 68 from a 2 by 2 block matrix Construction and Group Rings. - Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cloth in the Wind: A Case Study of Physical Measurement through Simulation. - (Withdrawn) The Framework of Consensus Equilibria for Mining-Pool Games in Blockchain Ecosystems.
- Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Data Driven Online Learning of Power System Dynamics. - Ali Anaissi, Seid Miad Zandavi:
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance. - Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Xuefei Yin, Jiankun Hu:
Designing False Data Injection attacks penetrating AC-based Bad Data Detection System and FDI Dataset generation. - Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. - Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. - Pedro Barroso, Mário Pereira, António Ravara:
Animated Logic: Correct Functional Conversion to Conjunctive Normal Form. - Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Jiankun Hu:
Designing constraint-based False Data Injection attacks for unbalanced distribution smart grids. - Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki:
Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training. - Teruki Hayakawa, Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto:
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction. - Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li:
Exploring the Role of Visual Content in Fake News Detection. - Songpo Li, Michael Bowman, Xiaoli Zhang:
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling. - Beheshteh T. Rakhshan, Guillaume Rabusseau:
Tensorized Random Projections. - Tianwei Zhang, Huayan Zhang, Yang Li, Yoshihiko Nakamura, Lei Zhang:
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow. - Ibrahim M. Ahmed, Abeer M. Mahmoud:
Development of an Expert System for Diabetic Type-2 Diet. - Geovane Fedrecheski, Jan M. Rabaey, Laisa C. P. Costa, Pablo C. Calcina-Ccori, William T. Pereira, Marcelo Knörich Zuffo:
Self-Sovereign Identity for IoT environments: A Perspective. - Dimitrios Boursinos, Xenofon D. Koutsoukos:
Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems. - Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. - Teruaki Hayashi, Yukio Ohsawa:
Variable-Based Network Analysis of Datasets on Data Exchange Platforms. - Milad Ghaznavi, Ali José Mashtizadeh, Bernard Wong, Raouf Boutaba:
Constellation: A High Performance Geo-Distributed Middlebox Framework. - Sian-Yao Huang, Wei-Ta Chu:
PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment. - Parth Thakkar, Senthil Nathan:
Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers. - Huy Nguyen, Nicholas Adrian, Joyce Xin-Yan Lim, Jonathan M. Salfity, William Allen, Quang-Cuong Pham:
Development of a Robotic System for Automated Decaking of 3D-Printed Parts. - Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf:
Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments. - Stella Biderman:
Magic: the Gathering is as Hard as Arithmetic. - Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Masashi Konyo, Satoshi Tadokoro:
Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton. - Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Uncertainty depth estimation with gated images for 3D reconstruction. - Sergey P. Shary:
A variability measure for estimates of parameters in interval data fitting. - Daiki Fujikura, Kenjiro Tadakuma, Masahiro Watanabe, Yoshito Okada, Kazunori Ohno, Satoshi Tadokoro:
Hundred Drones Land in a Minute. - Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. - Venkata Pavan Kumar Miriyala, Kale Rahul Vishwanath, Xuanyao Fong:
SIMBA: A Skyrmionic In-Memory Binary Neural Network Accelerator. - Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. - Hao Xu, Luqi Wang, Yichen Zhang, Kejie Qiu, Shaojie Shen:
Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm. - Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee:
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks. - Nicolas Heist, Heiko Paulheim:
Entity Extraction from Wikipedia List Pages. - Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. - Jukka Ruohonen, Kalle Hjerppe:
Predicting the Amount of GDPR Fines. - Shir Peleg, Amir Shpilka:
A generalized Sylvester-Gallai type theorem for quadratic polynomials. - Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller:
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. - Xiaozhe Gu, Arvind Easwaran:
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems. - Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake:
A Benchmark for Systematic Generalization in Grounded Language Understanding. - Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. - Naeem Paeedeh, Kamaledin Ghiasi-Shirazi:
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches. - Saravanan Ramanathan, Arvind Easwaran, Hyeonjoong Cho:
Multi-Rate Fluid Scheduling of Mixed-Criticality Systems on Multiprocessors. - Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model exploration and selection in high dimension low sample size setting. - Peter beim Graben, Markus Huber, Werner Meyer, Ronald Römer, Constanze Tschöpe, Matthias Wolff:
Vector symbolic architectures for context-free grammars. - Jose H. Blanchet, Renyuan Xu, Zhengyuan Zhou:
Delay-Adaptive Learning in Generalized Linear Contextual Bandits. - Yongho Shin, Kangsan Kim, Seungmin Lee, Hyung-Chan An:
Online Graph Matching Problems with a Worst-Case Reassignment Budget. - Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan:
Equalization Loss for Long-Tailed Object Recognition. - Dominique Beaini, Sofiane Achiche, Maxime Raison:
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration. - Tara Abrishami, Maria Chudnovsky, Marcin Pilipczuk, Pawel Rzazewski, Paul D. Seymour:
Induced subgraphs of bounded treewidth and the container method. - Steffen Haas, Florian Wilkens, Mathias Fischer:
Scan Correlation - Revealing distributed scan campaigns. - Daniel Lundén, Johannes Borgström, David Broman:
Correctness of Sequential Monte Carlo Inference for Probabilistic Programming Languages. - Nicolas Riesterer, Daniel Brand, Marco Ragni:
Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems. - Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang:
Industrial Scale Privacy Preserving Deep Neural Network. - Yijun Yuan, Jiawei Hou, Andreas Nüchter, Sören Schwertfeger:
Self-supervised Point Set Local Descriptors for Point Cloud Registration. - Jelle Don, Serge Fehr, Christian Majenz:
The Measure-and-Reprogram Technique 2.0: Multi-Round Fiat-Shamir and More. - Mohammad Ashraful Hoque, Ashwin Rao, Sasu Tarkoma:
In Situ Network and Application Performance Measurement on Android Devices and the Imperfections. - Asma Khatun, Sk. Golam Sarowar Hossain:
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection. - Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, Jianwei Zhang:
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU. - Tarmo Uustalu, Niccolò Veltri, Noam Zeilberger:
The Sequent Calculus of Skew Monoidal Categories. - Sascha Hunold, Bartlomiej Przybylski:
Scheduling.jl - Collaborative and Reproducible Scheduling Research with Julia. - Yiming Li, Changhong Fu, Ziyuan Huang, Yinqiang Zhang, Jia Pan:
Keyfilter-Aware Real-Time UAV Object Tracking. - Sergio Muñoz, Javier Ros, José Luis Escalona:
Estimation of lateral track irregularity through Kalman filtering techniques. - Rafia Alif Bindu, Asif Ahmed Neloy, Sazid Alam, Shahnewaz Siddique:
3-Survivor: A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism. - Michael Buchholz, Jan Strohbeck, Anna-Maria Adaktylos, Friedrich Vogl, Gottfried Allmer, Sergio Cabrero Barros, Yassine Lassoued, Markus Wimmer, Birger Hätty, Guillemette Massot, Christophe Ponchel, Maxime Bretin, Vasilis Sourlas, Angelos Amditis:
Enabling automated driving by ICT infrastructure: A reference architecture. - Yu Gao, Xintong Han, Xun Wang, Weilin Huang, Matthew R. Scott:
Channel Interaction Networks for Fine-Grained Image Categorization. - Farah Karim, Maria-Esther Vidal, Sören Auer:
Compacting Frequent Star Patterns in RDF Graphs. - Christian Meske, Konstantin Wilms, Stefan Stieglitz:
Enterprise Social Networks as Digital Infrastructures - Understanding the Utilitarian Value of Social Media at the Workplace. - Dongming Yang, Yuexian Zou, Jian Zhang, Ge Li:
GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency. - Christian Meske, Ireti Amojo:
Ethical Guidelines for the Construction of Digital Nudges. - Sebastian Wallkötter, Silvia Tulli, Ginevra Castellano, Ana Paiva, Mohamed Chetouani:
Explainable Agents Through Social Cues: A Review. - Mehmet Simsek, Henning Meyerhenke:
Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks. - Renato Cruz, Helder Fontes, José Ruela, Manuel Ricardo, Rui Campos:
On the Reproduction of Real Wireless Channel Occupancy in ns-3. - Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo:
Semi-Local 3D Lane Detection and Uncertainty Estimation. - Manolis Peponakis, Anna Mastora, Sarantos Kapidakis, Martin Doerr:
Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations. - Elman Mansimov, Gábor Melis, Lei Yu:
Capturing document context inside sentence-level neural machine translation models with self-training. - Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel:
Fast and Accurate Mapping for Autonomous Racing. - Alexander Göke, Dániel Marx, Matthias Mnich:
Hitting Long Directed Cycles is Fixed-Parameter Tractable. - Chaehan So:
Human-in-the-Loop Design Cycles - A Process Framework that Integrates Design Sprints, Agile Processes, and Machine Learning with Humans. - Rade Vuckovac:
On Function Description. - Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. - Marios A. Fanourakis:
Opportunistic multi-party shuffling for data reporting privacy. - Nadav Shalit, Michael Fire, Eran Ben-Elia:
Imputing Missing Boarding Stations With Machine Learning Methods. - Sujoy Bhore, Jan-Henrik Haunert, Fabian Klute, Guangping Li, Martin Nöllenburg:
Balanced Independent and Dominating Sets on Colored Interval Graphs. - Rentao Gu, Zeyuan Yang, Yuefeng Ji:
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey. - Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Antonio Liotta:
Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia. - Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang:
A Safety Framework for Critical Systems Utilising Deep Neural Networks. - Riaz-ul-haque Mian, Michihiro Shintani, Michiko Inoue:
Cycle-Accurate Evaluation of Software-Hardware Co-Design of Decimal Computation in RISC-V Ecosystem. - Kieran Greer:
How the Brain might use Division. - Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization. - Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. - Fan Li, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu:
Training-Set Distillation for Real-Time UAV Object Tracking. - Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato:
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. - James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou:
Fairness by Explicability and Adversarial SHAP Learning. - Steven Chaplick, Henry Förster, Michael Hoffmann, Michael Kaufmann:
Monotone Arc Diagrams with few Biarcs. - Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales:
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. - Yoshiki Higo, Shinpei Hayashi, Shinji Kusumoto:
On Tracking Java Methods with Git Mechanisms. - Steffen Herbold, Alexander Trautsch, Fabian Trautsch:
On the Feasibility of Automated Issue Type Prediction. - Pratik Nayak, Terry Cojean, Hartwig Anzt:
Evaluating Abstract Asynchronous Schwarz solvers. - Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules. - José Luis Matez-Bandera, Pablo Ramirez-Espinosa, José David Vega Sánchez, Francisco Javier López-Martínez:
On the Effect of Correlation on the Capacity of Backscatter Communication Systems. - Francesco Conte, Matteo Saviozzi, Samuele Grillo:
An Optimization Problem for Day-Ahead Planning of Electrical Energy Aggregators. - Raul de Araújo Lima, Rômulo César Costa de Sousa, Simone Diniz Junqueira Barbosa, Hélio Côrtes Vieira Lopes:
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network. - Anjaneya Teja Sarma Kalvakolanu:
Plant Disease Detection from Images. - Yu-Sheng Lin, Zhe Yu Liu, Yu-An Chen, Yu-Siang Wang, Hsin-Ying Lee, Yi-Rong Chen, Ya-Liang Chang, Winston H. Hsu:
xCos: An Explainable Cosine Metric for Face Verification Task. - Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis:
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition. - Miriam Polzer, Sergey Goncharov:
Local Local Reasoning: A BI-Hyperdoctrine for Full Ground Store. - Shreyas Ramakrishna, Charles Hartsell, Abhishek Dubey, Partha Pratim Pal, Gabor Karsai:
A Methodology for Automating Assurance Case Generation. - Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan, Dinesh Manocha:
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds. - Neophytos Charalambides:
Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes. - Aditya Sanghi, Pradeep Kumar Jayaraman:
How Powerful Are Randomly Initialized Pointcloud Set Functions? - Guangnan Wu, Zhiyi Pan, Peng Jiang, Changhe Tu:
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds. - Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling:
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs. - Shuyang Chen, John T. Wen:
Adaptive Neural Trajectory Tracking Control for Flexible-Joint Robots with Online Learning. - Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon:
Building and Interpreting Deep Similarity Models. - Silverio Martínez-Fernández, Xavier Franch, Andreas Jedlitschka, Marc Oriol, Adam Trendowicz:
Research Directions for Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems. - Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto:
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation. - Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell:
Rethinking Image Mixture for Unsupervised Visual Representation Learning. - Bruno Strulovici:
Can Society Function Without Ethical Agents? An Informational Perspective. - Jalil Boudjadar, Saravanan Ramanathan, Arvind Easwaran, Ulrik Nyman:
Combining Task-level and System-level Scheduling Modes for Mixed Criticality Systems. - Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis. - Arvind Easwaran:
Demand-based Scheduling of Mixed-Criticality Sporadic Tasks on One Processor. - Saravanan Ramanathan, Arvind Easwaran:
Utilization Difference Based Partitioned Scheduling of Mixed-Criticality Systems. - Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev:
Deep Vectorization of Technical Drawings. - Samuel Broscheit:
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking. - Richard Droste, Jianbo Jiao, J. Alison Noble:
Unified Image and Video Saliency Modeling. - Carlos Mastalli, Ioannis Havoutis, Michele Focchi, Darwin G. Caldwell, Claudio Semini:
Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control. - Riccardo Fazio, Salvatore Iacono:
A Non-Iterative Transformation Method for a Class of Free Boundary Value Problems Governed by ODEs. - Waseem Abbas, Mudassir Shabbir, Hassan Jaleel, Xenofon D. Koutsoukos:
Improving Network Robustness through Edge Augmentation While Preserving Strong Structural Controllability. - Wim Michiels, Suat Gumussoy:
Eigenvalue based algorithms and software for the design of fixed-order stabilizing controllers for interconnected systems with time-delays. - Mudassir Shabbir, Jiani Li, Waseem Abbas, Xenofon D. Koutsoukos:
Resilient Vector Consensus in Multi-Agent Networks Using Centerpoints. - Andrea Mambretti, Alexandra Sandulescu, Alessandro Sorniotti, William K. Robertson, Engin Kirda, Anil Kurmus:
Bypassing memory safety mechanisms through speculative control flow hijacks. - Chengyao Li, Jason Ku, Steven L. Waslander:
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. - Jie Wu, Decao Yin, Halvor Lie, Signe Riemer-Sørensen, Svein Sævik, Michael S. Triantafyllou:
Improved VIV response prediction using adaptive parameters and data clustering. - Xiao Xu, John T. Foster:
Deriving peridynamic influence functions for one-dimensional elastic materials with periodic microstructure. - Tomás Musil:
Semantic Holism and Word Representations in Artificial Neural Networks. - Bharat Joshi, Md. Modasshir, Travis Manderson, Hunter Damron, Marios Xanthidis, Alberto Quattrini Li, Ioannis M. Rekleitis, Gregory Dudek:
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization. - Holger Klapperich, Alarith Uhde, Marc Hassenzahl:
Understanding and Designing Automation with Peoples' Wellbeing in Mind. - Matthias Laschke, Alarith Uhde, Marc Hassenzahl:
Positive Work Practices. Opportunities and Challenges in Designing Meaningful Work-related Technology. - Simon Niklaus, Feng Liu:
Softmax Splatting for Video Frame Interpolation. - Oytun Ulutan, A. S. M. Iftekhar, Bangalore S. Manjunath:
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions. - Johannes Bund, Matthias Függer, Christoph Lenzen, Moti Medina, Will Rosenbaum:
PALS: Plesiochronous and Locally Synchronous Systems. - Yuta Sakai, Vincent Y. F. Tan:
Asymptotic Expansions of Smooth Rényi Entropies and Their Applications. - Yingpeng Deng, Lina J. Karam:
Frequency-Tuned Universal Adversarial Attacks. - Eric Schneider, Marcus Poulton, Archie Drake, Leanne Smith, George Roussos, Simon Parsons, Elizabeth I. Sklar:
The Application of Market-based Multi-Robot Task Allocation to Ambulance Dispatch. - Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. - Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker:
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates. - Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake:
Learning Compositional Rules via Neural Program Synthesis. - Chundong Wang, Yee Ching Tok, Rohini Poolat, Sudipta Chattopadhyay, Mohan Rajesh Elara:
Securing Autonomous Service Robots through Fuzzing, Detection, and Mitigation. - Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao:
Extended Batch Normalization. - Ninad Gaikwad, Naren Srivaths Raman, Prabir Barooah:
Smart Home Energy Management System for Power System Resiliency. - Wai Keen Vong, Brenden M. Lake:
Learning word-referent mappings and concepts from raw inputs. - Katarzyna Biesialska, Magdalena Biesialska, Henryk Rybinski:
Sentiment Analysis with Contextual Embeddings and Self-Attention. - Michael Langberg, Shi Li, Sai Vikneshwar Mani Jayaraman, Atri Rudra:
Topology Dependent Bounds For FAQs. - Majid Farhadi, Anand Louis, Prasad Tetali:
On the Complexity and Approximation of λ∞ Spread Constant and Maximum Variance Embedding. - Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. - Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao, Boonserm Kijsirikul:
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. - Chuangchuang Sun, Shirantha Welikala, Christos G. Cassandras:
Optimal Composition of Heterogeneous Multi-Agent Teams for Coverage Problems with Performance Bound Guarantees. - Mohammad Heydari, Babak Teimourpour:
Analysis of ResearchGate, A Community Detection Approach. - Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. - Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. - Dianqiang Li, Tao Li:
Cooperative output feedback tracking control of stochastic linear heterogeneous multi-agent systems. - Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. - Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. - Nildo Silva Junior, Larissa Rocha Soares, Luana Almeida Martins, Ivan Machado:
A survey on test practitioners' awareness of test smells. - Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. - Katsuro Inoue, Yuya Miyamoto, Daniel M. Germán, Takashi Ishio:
Code Clone Matching: A Practical and Effective Approach to Find Code Snippets. - He Yin, Peter J. Seiler, Murat Arcak:
Backward Reachability using Integral Quadratic Constraints for Uncertain Nonlinear Systems. - Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo:
CC2Vec: Distributed Representations of Code Changes. - Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. - Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi:
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification. - Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Understanding Crowd Flow Movements Using Active-Langevin Model. - Jiangnan Li, Jin Young Lee, Yingyuan Yang, Jinyuan Stella Sun, Kevin Tomsovic:
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems. - Erika Ábrahám, James H. Davenport, Matthew England, Gereon Kremer:
Deciding the Consistency of Non-Linear Real Arithmetic Constraints with a Conflict Driven Search Using Cylindrical Algebraic Coverings. - Urban Larsson, Neel Patel, Ravi Kant Rai:
Discrete Richman-bidding Scoring Games. - Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang:
Fisher Deep Domain Adaptation. - Shanghua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan:
Highly Efficient Salient Object Detection with 100K Parameters. - Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances. - Tugal Zhanlav, Renchin-Ochir Mijiddorj:
Construction of a family of C1 convex integro cubic splines. - Jiangke Lin, Yi Yuan, Tianjia Shao, Kun Zhou:
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks. - Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. - Han Wang, Chen Wang, Lihua Xie:
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection. - Aliaksei L. Petsiuk, Joshua M. Pearce:
Open Source Computer Vision-based Layer-wise 3D Printing Analysis. - Chunyu Chen, Yang Chen, Kaifeng Zhang, Wenjun Bi, Meng Tian:
Vulnerability Assessment of Load Frequency Control Considering Cyber Security. - Zhi Tian, Chunhua Shen, Hao Chen:
Conditional Convolutions for Instance Segmentation. - Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection. - Michael Ruderman:
Optimal nonlinear damping control of second-order systems. - Steven Elsworth, Stefan Güttel:
Time Series Forecasting Using LSTM Networks: A Symbolic Approach. - Céline Baranger, Nicolas Hérouard, Julien Mathiaud, Luc Mieussens:
Numerical boundary conditions in Finite Volume and Discontinuous Galerkin schemes for the simulation of rarefied flows along solid boundaries. - Zhize Wu, Thomas Weise, Le Zou, Fei Sun, Ming Tan:
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information. - Hamza Khan, M. Majid Butt, Sumudu Samarakoon, Philippe Sehier, Mehdi Bennis:
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation. - Mayank Raikwar, Danilo Gligoroski, Goran Velinov:
Trends in Development of Databases and Blockchain. - Tong Yu, Hong Zhu:
Hyper-Parameter Optimization: A Review of Algorithms and Applications. - Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matías Mattamala, Maurice F. Fallon:
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth. - Pawan Goyal, Hussam Al Daas, Peter Benner:
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. - Martin Böhm, Ruben Hoeksma, Nicole Megow, Lukas Nölke, Bertrand Simon:
Computing a Minimum-Cost k-hop Steiner Tree in Tree-Like Metrics. - Raaghavi Sivaguru, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento, Martine De Cock:
Inline Detection of DGA Domains Using Side Information. - Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni:
Fairness by Learning Orthogonal Disentangled Representations. - Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen:
Deformation Flow Based Two-Stream Network for Lip Reading. - Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri:
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation. - Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty, Nibaran Das:
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images. - Sindhu Kutty, Mark Guzdial:
Undergraduate Student Research With Low Faculty Cost. - Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki:
Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE). - Suat Gumussoy, Wim Michiels:
Fixed-order strong H-infinity control of interconnected systems with time-delays. - Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng:
A Survey of Adversarial Learning on Graphs. - Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. - Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana:
Towards Practical Lottery Ticket Hypothesis for Adversarial Training. - François-Xavier Devailly, Denis Larocque, Laurent Charlin:
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control. - Jakob Kruse:
Technical report: Training Mixture Density Networks with full covariance matrices. - Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh:
Learning Algebraic Multigrid Using Graph Neural Networks. - Meghyn Bienvenu, Camille Bourgaux:
Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation. - Mathis Petrovich, Makoto Yamada:
Fast local linear regression with anchor regularization. - Sean Saito, Jin Wang:
Explaining Away Attacks Against Neural Networks. - Sebin Gracy, Jezdimir Milosevic, Henrik Sandberg:
Actuator Security Index for Structured Systems. - Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. - Uwe Naumann:
Optimization of Generalized Jacobian Chain Products without Memory Constraints. - Marten Teitsma, Vasco Chibante Barosso, Pascal Boeschoten, Patrick Hendriks:
Jiskefet, a bookkeeping application for ALICE. - Ivan P. Yamshchikov, Cyrille Merleau Nono Saha, Igor Samenko, Jürgen Jost:
It Means More if It Sounds Good: Yet Another Hypotheses Concerning the Evolution of Polysemous Words. - Carlos Campos, José M. M. Montiel, Juan D. Tardós:
Inertial-Only Optimization for Visual-Inertial Initialization. - Ali Devran Kara, Serdar Yüksel:
Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control. - Suat Gumussoy, Hitay Özbay:
On the Mixed Sensitivity Minimization for Systems with Infinitely Many Unstable Modes. - Atreyee Kundu:
Data-based design of stabilizing switching signals for discrete-time switched linear systems. - Murat Acar, Bedir Tekinerdogan:
Analyzing the Impact of Automated User Assistance Systems: A Systematic Review. - Davoud Mougouei, David M. W. Powers:
Dependency-Aware Software Requirements Selection using Fuzzy Graphs and Integer Programming. - Robert Eymard, Raphaèle Herbin, Jean-Claude Latché, Bruno Piar:
A Class of Collocated Finite Volume Schemes for Incompressible Flow Problems. - Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman:
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face. - Matthew R. Kirchner, Mark J. Debord, João P. Hespanha:
A Hamilton-Jacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems. - Qi Tao, Yan Xu, Chi-Wang Shu:
An ultraweak-local discontinuous Galerkin method for PDEs with high order spatial derivatives. - Jan Portisch, Michael Hladik, Heiko Paulheim:
KGvec2go - Knowledge Graph Embeddings as a Service. - (Withdrawn) SMap: Internet-wide Scanning for Ingress Filtering.
- Martín Naya-Varela, Andrés Faiña, Richard J. Duro:
Some Experiments on the influence of Problem Hardness in Morphological Development based Learning of Neural Controllers. - Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez:
SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization. - Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. - Jamison Heard, Julian Fortune, Julie A. Adams:
SAHRTA: A Supervisory-Based Adaptive Human-Robot Teaming Architecture. - Petar Mlinaric, Stephan Rave, Jens Saak:
Parametric model order reduction using pyMOR. - Petra Wolf, Henning Fernau:
Regular Intersection Emptiness of Graph Problems: Finding a Needle in a Haystack of Graphs with the Help of Automata. - Fanyi Wu, Hongliang Zhang, Jianjun Wu, Lingyang Song, Zhu Han, H. Vincent Poor:
UAV-to-Device Underlay Communications: Age of Information Minimization by Multi-agent Deep Reinforcement Learning. - Matteo Busi, Pierpaolo Degano, Letterio Galletta:
Control-flow Flattening Preserves the Constant-Time Policy (Extended Version). - Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan:
Top-1 Solution of Multi-Moments in Time Challenge 2019. - Christophe Chareton, Sébastien Bardin, François Bobot, Valentin Perrelle, Benoît Valiron:
Toward certified quantum programming. - Saul A. Johnson, João Ferreira, Alexandra Mendes, Julien Cordry:
Lost in Disclosure: On The Inference of Password Composition Policies. - Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab:
CPS: Class-level 6D Pose and Shape Estimation From Monocular Images. - Shushuai Li, Mario Coppola, Christophe De Wagter, Guido C. H. E. de Croon:
An autonomous swarm of micro flying robots with range-based relative localization. - Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai:
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds. - Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. - Pablo V. A. Barros, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia I. Barakova, Alessandra Sciutti:
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents. - Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo:
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content. - Zhaoji Zhang, Ying Li, Guanghui Song, Chau Yuen, Yong Liang Guan:
Random NOMA With Cross-Slot Successive Interference Cancellation Packet Recovery. - Francisco Javier Chiyah Garcia, José Lopes, Helen F. Hastie:
Natural Language Interaction to Facilitate Mental Models of Remote Robots. - Gianluca Mazzucco, Beatrice Pomaro, Valentina A. Salomoni, Carmelo E. Majorana:
Apex control within an elasto-plastic constitutive model for confined concretes. - Philippe Ravaud, Franck le Ouay, Etienne Depaulis, Alexandre Huckert, Bruno Vegreville, Viet-Thi Tran:
Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres. - Suryajith Chillara:
New Exponential Size Lower Bounds against Depth Four Circuits of Bounded Individual Degree. - Xisuo Ma, Zhen Gao:
Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO. - Amitay Bar, Ronen Talmon, Ron Meir:
Option Discovery in the Absence of Rewards with Manifold Analysis. - David Grimsman, João Pedro Hespanha, Jason R. Marden:
Stackelberg Equilibria for Two-Player Network Routing Games on Parallel Networks. - Christopher Zach, Huu Le:
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. - Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen:
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration. - Michael Benedikt, Stanislav Kikot, Piotr Ostropolski-Nalewaja, Miguel Romero:
On monotonic determinacy and rewritability for recursive queries and views. - Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen:
Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses. - Matthew Abate, Samuel Coogan:
Computing Robustly Forward Invariant Sets for Mixed-Monotone Systems. - Moshe Babaioff, Michal Feldman, Yannai A. Gonczarowski, Brendan Lucier, Inbal Talgam-Cohen:
Escaping Cannibalization? Correlation-Robust Pricing for a Unit-Demand Buyer. - Guy Dodin:
Protection of genomic information: a classical and a quantum approach. - Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger:
Needmining: Identifying micro blog data containing customer needs. - Huy Tu, Rishabh Agrawal, Tim Menzies:
The Changing Nature of Computational Science Software. - Paul Scherer, Pietro Liò:
Learning distributed representations of graphs with Geo2DR. - Sungho Shin, Alex D. Smith, Si-Zhao Joe Qin, Victor M. Zavala:
On the Convergence of the Dynamic Inner PCA Algorithm. - Yamin Li, Dong He, Xiangyu Wang, Kai Tang:
Geodesic Distance Field-based Curved Layer Volume Decomposition for Multi-Axis Support-free Printing. - Esther Rolf, Michael I. Jordan, Benjamin Recht:
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. - Aasheesh Singh, Aditya Kamireddypalli, Vineet Gandhi, K. Madhava Krishna:
LiDAR guided Small obstacle Segmentation. - Vanessa V. Sochat:
AskCI Server: Collaborative and version controlled knowledge base. - Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Cheng Zhang:
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. - Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. - Christof Ferreira Torres, Mathis Baden, Robert Norvill, Beltran Borja Fiz Pontiveros, Hugo Jonker, Sjouke Mauw:
ÆGIS: Shielding Vulnerable Smart Contracts Against Attacks. - Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? - Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. - Dor Bank, Noam Koenigstein, Raja Giryes:
Autoencoders. - Mohammad Biglarbegian:
Comments on 'Design and Implementation of Model-Predictive Control With Friction Compensation on an Omnidirectional Mobile Robot'. - Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos:
Analyzing Visual Representations in Embodied Navigation Tasks. - Francisco Javier Chiyah Garcia, José Lopes, Xingkun Liu, Helen F. Hastie:
CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues. - Cuong Q. Nguyen, Constantine Kreatsoulas, Kim M. Branson:
Meta-Learning Initializations for Low-Resource Drug Discovery. - Aurko Roy, Mohammad Saffar, Ashish Vaswani, David Grangier:
Efficient Content-Based Sparse Attention with Routing Transformers. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. - Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox:
Human Grasp Classification for Reactive Human-to-Robot Handovers. - Martin Ondreját, Andreas Prohl, Noel Walkington:
Numerical Approximation of Nonlinear SPDE's. - Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar:
Model Agnostic Multilevel Explanations. - Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro:
A Fault-Tolerance Shim for Serverless Computing. - Sourav Patel, Soham Chakraborty, Blake Lundstrom, Srinivasa M. Salapaka, Murti V. Salapaka:
Isochronous Architecture-Based Voltage-Active Power Droop for Multi-Inverter Systems. - Jeongsik Choi, Yang-Seok Choi:
Calibration-Free Positioning Technique Using Wi-Fi and Built-in Sensors of Mobile Devices. - Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup:
Invariant Causal Prediction for Block MDPs. - Péter Várnai, Dimos V. Dimarogonas:
On Robustness Metrics for Learning STL Tasks. - Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi:
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition. - Zehua Zhang, Ashish Tawari, Sujitha Martin, David J. Crandall:
Interaction Graphs for Object Importance Estimation in On-road Driving Videos. - Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-based Graph Alignment. - Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. - Chen Ling, Guangmo Tong, Mozi Chen:
NesTPP: Modeling Thread Dynamics in Online Discussion Forums. - Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang:
Deep Domain-Adversarial Image Generation for Domain Generalisation. - Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio:
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. - Fares J. Abu-Dakka, Ville Kyrki:
Geometry-aware Dynamic Movement Primitives. - Aditya Chilukuri, Josh Milthorpe, Beau Johnston:
Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features. - Christian Scheller, Yanick Schraner, Manfred Vogel:
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft. - Lambert T. Leong:
Snapshot Samplings of the Bitcoin Transaction Network and Analysis of Cryptocurrency Growth. - Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
A General Framework for Learning Mean-Field Games. - Yulong Gu, Yu Guan, Paolo Missier:
Efficient Rule Learning with Template Saturation for Knowledge Graph Completion. - Michael Mitzenmacher, Charalampos E. Tsourakakis:
Joint Alignment From Pairwise Differences with a Noisy Oracle. - (Withdrawn) Reachability is Tower Complete.
- Arjun Balaji, Lachlan J. Kelsey, Kamran Majeed, Carl J. Schultz, Barry J. Doyle:
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules. - Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis:
Action for Better Prediction. - Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. - Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun:
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. - Qirui Li, Xiaoming Liu, Chao Shen, Xi Peng, Yadong Zhou, Xiaohong Guan:
Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach. - Viet Vo, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Surya Nepal, Cong Wang:
ShieldDB: An Encrypted Document Database with Padding Countermeasures. - Kai Qiao, Jian Chen, Linyuan Wang, Chi Zhang, Li Tong, Bin Yan:
BigGAN-based Bayesian reconstruction of natural images from human brain activity. - (Withdrawn) A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction.
- Mojtaba Shahin, Muhammad Ali Babar:
On the Role of Software Architecture in DevOps Transformation: An Industrial Case Study. - Ngo Van Linh, Tran Xuan Bach, Khoat Than:
Graph Convolutional Topic Model for Data Streams. - Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Sargur N. Srihari:
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification. - Nathan Dahlin, Rahul Jain:
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. - Robi Bhattacharjee, Kamalika Chaudhuri:
When are Non-Parametric Methods Robust? - Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than:
Dynamic transformation of prior knowledge into Bayesian models for data streams. - Chao Jiang, Huawei Liang, Zhiling Wang:
BIHL: A Fast and High Performance Object Proposals based on Binarized HL Frequency. - Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li:
Dual Temporal Memory Network for Efficient Video Object Segmentation. - Dan Bi, Ju'e Guo, Shouyang Wang, Shaolong Sun:
New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis. - Bowen Liu, Pawel Szalachowski, Siwei Sun:
Fail-safe Watchtowers and Short-lived Assertions for Payment Channels. - Daniël Reijsbergen, Tien Tuan Anh Dinh:
On Exploiting Transaction Concurrency To Speed Up Blockchains. - Alexander Carballo, Jacob Lambert, Abraham Monrroy Cano, David Robert Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda:
LIBRE: The Multiple 3D LiDAR Dataset. - Xiufeng Xie, Kyu-Han Kim:
Partial Weight Adaptation for Robust DNN Inference. - Han Chen, Peng Lu:
Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method. - Haochen Zhang, Dong Liu, Zhiwei Xiong:
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution? - (Withdrawn) s-Vector Control of Battery Energy Storage System: Definition and Application.
- Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric:
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps. - Lu Qi, Xiangyu Zhang, Ying-Cong Chen, Yukang Chen, Jian Sun, Jiaya Jia:
PointINS: Point-based Instance Segmentation. - Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni:
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study. - Shuhua Gao, Cheng Xiang, Tong Heng Lee:
Optimal Control of Boolean Control Networks with Discounted Cost: An Efficient Approach based on Deterministic Markov Decision Process. - Raphael Memmesheimer, Nick Theisen, Dietrich Paulus:
Gimme Signals: Discriminative signal encoding for multimodal activity recognition. - Marios A. Fanourakis:
A report on personally identifiable sensor data from smartphone devices. - Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. - Agnese Chiatti, Enrico Motta, Enrico Daga:
Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis. - A. N. Trahtman:
Cerny-Starke conjecture from the sixties of XX century. - Fredrik Johansson:
FunGrim: a symbolic library for special functions. - Dennis van der Velde, Martin Henze, Philipp Kathmann, Erik Wassermann, Michael Andres, Detert Bracht, Raphael Ernst, George Hallak, Benedikt Klaer, Philipp Linnartz, Benjamin Meyer, Simon Ofner, Tobias Pletzer, Richard Sethmann:
Methods for Actors in the Electric Power System to Prevent, Detect and React to ICT Attacks and Failures. - Sarah Theres Völkel, Ramona Schödel, Daniel Buschek, Clemens Stachl, Verena Winterhalter, Markus Bühner, Heinrich Hussmann:
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach. - Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection. - Madhumitha Harishankar, Dimitrios-Georgios Akestoridis, Sriram V. Iyer, Aron Laszka, Carlee Joe-Wong, Patrick Tague:
Plasma Go: A Scalable Sidechain Protocol for Flexible Payment Mechanisms in Blockchain-based Marketplaces. - Ikki Ohmukai, Yasunori Yamamoto, Maori Ito, Takashi Okumura:
Tracing patients' PLOD with mobile phones: Mitigation of epidemic risks through patients' locational open data. - Baudouin Le Charlier:
Experimental Evaluation of a Method to Simplify Expressions. - Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. - Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. - Emanuele Fabbiani, Pulkit Nahata, Giuseppe De Nicolao, Giancarlo Ferrari-Trecate:
Identification of AC Networks via Online Learning. - Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. - Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal:
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach. - Mario Román:
Comb Diagrams for Discrete-Time Feedback. - Honey Gupta, Kaushik Mitra:
Pyramidal Edge-maps based Guided Thermal Super-resolution. - Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. - Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. - Luke Nicholas Darlow, Amos J. Storkey:
What Information Does a ResNet Compress? - Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock:
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. - Yunhao Tang, Michal Valko, Rémi Munos:
Taylor Expansion Policy Optimization. - Riccardo Fazio, Alessandra Jannelli:
A Non-Standard Finite Difference Scheme for MHD Boundary Layer Fluid Flow. - Tor Inge Reigstad, Kjetil Uhlen:
Optimized Control of Variable Speed Hydropower for Provision of Fast Frequency Reserves. - Riccardo Fazio:
A Non-Iterative Transformation Method for an Extended Blasius Problem. - Henri Kauhanen:
Stable variation in multidimensional competition. - Marc de Visme, Glynn Winskel:
Causal Unfoldings and Disjunctive Causes. - Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part II). - Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza:
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers. - Laura V. C. Quispe, Jorge A. V. Tohalino, Diego R. Amancio:
Using word embeddings to improve the discriminability of co-occurrence text networks. - Ahmet Arda Ozdemir, Suat Gumussoy:
Transfer Function Estimation in System Identification Toolbox via Vector Fitting. - Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. - Tor Inge Reigstad, Kjetil Uhlen:
Modelling of Variable Speed Hydropower for Grid Integration Studies. - Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey, Lennart Ljung, Mladen Gibanica, Rajiv Singh:
Improving Linear State-Space Models with Additional Iterations. - Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. - Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan S. Rankin, Sheila Sagear, Sioni Summers, Nhan Tran, Zhenbin Wu:
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML. - Hessa Al-Thani, Jon Lee:
An R Package for generating covariance matrices for maximum-entropy sampling from precipitation chemistry data. - Andreas Komninos, Emma Nicol, Mark D. Dunlop:
Investigating Error Injection to Enhance the Effectiveness of Mobile Text Entry Studies of Error Behaviour. - Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li:
Minor Constraint Disturbances for Deep Semi-supervised Learning. - Andreas Komninos, Kyriakos Katsaris, Emma Nicol, Mark D. Dunlop, John D. Garofalakis:
Mobile Text Entry Behaviour in Lab and In-the-Wild studies: Is it different? - Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover:
Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs. - Yasir Khudhair Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha:
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. - Renato Martins, Dhiego Bersan, Mario F. M. Campos, Erickson R. Nascimento:
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues. - Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Irving Bernstein, Caroline Uhler:
Balancedness and Alignment are Unlikely in Linear Neural Networks. - Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Model under Mobility on Multi-layer Networks. - Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu:
Automating Botnet Detection with Graph Neural Networks. - Jennifer Renoux, Uwe Köckemann, Amy Loutfi:
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. - Emmanuel Bengio, Joelle Pineau, Doina Precup:
Interference and Generalization in Temporal Difference Learning. - Xingqin Lin, Anders Furuskär, Olof Liberg, Sebastian Euler:
Sky High 5G: New Radio for Air-to-Ground Communications. - Neeraj Sarna, Sara Grundel:
Model Reduction of Time-Dependent Hyperbolic Equations using Collocated Residual Minimisation and Shifted Snapshots. - Yu Yuan, Serge Sharoff:
Sentence Level Human Translation Quality Estimation with Attention-based Neural Networks. - Aritra Chatterjee, Vivek Rangamgari, Shashank Tiwari, Suvra Sekhar Das:
Non Orthogonal Multiple Access with Orthogonal Time Frequency Space Signal Transmission. - Serge Sharoff:
Know thy corpus! Robust methods for digital curation of Web corpora. - Connor J. Boss, Vaibhav Srivastava, Hassan K. Khalil:
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. - Erna Begovic:
Finding the closest normal structured matrix. - Ardi Tampuu, Maksym Semikin, Naveed Muhammad, Dmytro Fishman, Tambet Matiisen:
A Survey of End-to-End Driving: Architectures and Training Methods. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Robust and Optimal Single-loop Voltage Controller for Grid-forming Voltage Source Inverters. - Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall:
Probabilistic Future Prediction for Video Scene Understanding. - Ion Victor Gosea, Stefan Güttel:
Algorithms for the rational approximation of matrix-valued functions. - Omid Jafari, Parth Nagarkar, Jonathan Montaño:
mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data. - Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. - Chih-Yuan Yang, Ravi Sahita:
Towards a Resilient Machine Learning Classifier - a Case Study of Ransomware Detection. - Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino:
Learning Unbiased Representations via Mutual Information Backpropagation. - Shane D. Sims, Cristina Conati:
A Neural Architecture for Detecting Confusion in Eye-tracking Data. - Xing Zhao, Shuang Yang, Shiguang Shan, Xilin Chen:
Mutual Information Maximization for Effective Lip Reading. - Yuya Yoshikawa, Tomoharu Iwata:
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. - Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero:
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification. - Guenter Hesse, Christoph Matthies, Tilmann Rabl, Matthias Uflacker:
How Fast Can We Insert? A Performance Study of Apache Kafka. - Talia Ringer, Karl Palmskog, Ilya Sergey, Milos Gligoric, Zachary Tatlock:
QED at Large: A Survey of Engineering of Formally Verified Software. - Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke:
Exploring User Opinions of Fairness in Recommender Systems. - Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: a geometric framework for black-box adversarial attacks. - Xiaochen Peng, Shanshi Huang, Hongwu Jiang, Anni Lu, Shimeng Yu:
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training. - Binod Bhattarai, Tae-Kyun Kim:
Inducing Optimal Attribute Representations for Conditional GANs. - Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Self-supervised Single-view 3D Reconstruction via Semantic Consistency. - Luchen Li, Ignacio Albert-Smet, Aldo A. Faisal:
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation. - Simone Brugiapaglia, Lorenzo Tamellini, Mattia Tani:
Compressive Isogeometric Analysis. - Utkarsh Goel, Stephen Ludin, Moritz Steiner:
Web Performance with Android's Battery-Saver Mode. - Christo Kurisummoottil Thomas, Bruno Clerckx, Luca Sanguinetti, Dirk T. M. Slock:
A Rate Splitting Strategy for Mitigating Intra-Cell Pilot Contamination in Massive MIMO. - Jiaming Wu, Soyoung Ahn, Yang Zhou, Pan Liu, Xiaobo Qu:
The Cooperative Sorting Strategy for Connected and Automated Vehicle Platoons. - Ion Victor Gosea, Igor Pontes Duff:
Toward fitting structured nonlinear systems by means of dynamic mode decomposition. - Dan Alistarh, Martin Töpfer, Przemyslaw Uznanski:
Robust Comparison in Population Protocols. - Roy Overbeek, Jörg Endrullis:
Patch Graph Rewriting. - Georgios Katsouleas, Efthymios N. Karatzas, Fotios Travlopanos:
Cut finite element error estimates for a class of nonlinear elliptic PDEs. - Renyan Feng, Erman Acar, Stefan Schlobach, Yisong Wang, Wanwei Liu:
On Sufficient and Necessary Conditions in Bounded CTL. - Guanze Peng, Juntao Chen, Quanyan Zhu:
Distributed Stabilization of State Interdependent Markov Jump LinearSystem-of-Systems with Partial Information. - Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. - Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. - Hadi Abdi Khojasteh, Ebrahim Ansari, Mahdi Bohlouli:
LSCP: Enhanced Large Scale Colloquial Persian Language Understanding. - Ning Tian, Yebin Wang, Jian Chen, Huazhen Fang:
One-Shot Parameter Identification of the Thevenin's Model for Batteries: Methods and Validation. - Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyungsin Park:
Explaining the Punishment Gap of AI and Robots. - Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura, Phillip B. Gibbons:
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift. - Haiyun He, Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Optimal Resolution of Change-Point Detection with Empirically Observed Statistics and Erasures. - Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin:
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. - Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang:
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. - Deeksha Dixit, Pratap Tokekar:
Evaluation of Cross-View Matching to Improve Ground Vehicle Localization with Aerial Perception. - Jie Ying Wu, Peter Kazanzides, Mathias Unberath:
Leveraging Vision and Kinematics Data to Improve Realism of Biomechanic Soft-tissue Simulation for Robotic Surgery. - Zhelun Wu, Hongyan Jiang, Siyun He:
Symmetry Detection of Occluded Point Cloud Using Deep Learning. - Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi:
Instant recovery of shape from spectrum via latent space connections. - Carsten Gräser, Prem Anand Alathur Srinivasan:
Error bounds for PDE-regularized learning. - David Pastor-Escuredo:
Ethics in the digital era. - Daniela Calvetti, Monica Pragliola, Erkki Somersalo:
Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. - Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. - Bingtao Ma, Hongsen Liu, Liangliang Nan, Yang Cong:
An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes. - Andrea Carracedo Rodriguez, Serkan Gugercin:
The p-AAA algorithm for data driven modeling of parametric dynamical systems. - Lei Han, Tian Zheng, Lan Xu, Lu Fang:
OccuSeg: Occupancy-aware 3D Instance Segmentation. - Zhigang Chu, Oliver Kosut, Lalitha Sankar:
Detecting Load Redistribution Attacks via Support Vector Models. - Hadi Mansourifar, Lin Chen, Weidong Shi:
Hybrid Cryptocurrency Pump and Dump Detection. - Yuan Lu, Qiang Tang, Guiling Wang:
Generic Superlight Client for Permissionless Blockchains. - Xiaogang Xu, Hengshuang Zhao, Jiaya Jia:
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation. - Chawin Sitawarin, David A. Wagner:
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models. - Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton:
Evaluating Logical Generalization in Graph Neural Networks. - Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao:
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online. - Md Atiqul Islam, George C. Alexandropoulos, Besma Smida:
Simultaneous Downlink Data Transmission and Uplink Channel Estimation with Reduced Complexity Full Duplex MIMO Radios. - Xiongwei Wu, Qiang Li, Yawei Lu, H. Vincent Poor, Victor C. M. Leung, P. C. Ching:
Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications. - Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth N. Balasubramanian:
VarMixup: Exploiting the Latent Space for Robust Training and Inference. - Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai:
Efficient Backbone Search for Scene Text Recognition. - Ningyu He, Ruiyi Zhang, Lei Wu, Haoyu Wang, Xiapu Luo, Yao Guo, Ting Yu, Xuxian Jiang:
Security Analysis of EOSIO Smart Contracts. - B. Sinchev, A. B. Sinchev, J. Akzhanova, A. M. Mukhanova, Y. Issekeshev:
A novel and efficient algorithm to solve subset sum problem. - Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang:
Counterfactual Samples Synthesizing for Robust Visual Question Answering. - Bo-Kyeong Kim, Sungjin Park, Geon-min Kim, Soo-Young Lee:
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders. - Bin Hou, Qingjie Liu, Heng Wang, Yunhong Wang:
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques. - Mingzhou Yin, Q. P. Chu, Y. Zhang, Michael A. Niestroy, C. C. de Visser:
Probabilistic Flight Envelope Estimation with Application to Unstable Overactuated Aircraft. - Vladimir Ivashkin:
Image-to-image Neural Network for Addition and Subtraction of a Pair of Not Very Large Numbers. - Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu:
Collaborative Motion Prediction via Neural Motion Message Passing. - Juan-Andrés Pérez-Rúa, Sara Lumbreras, Andrés Ramos, Nicolaos A. Cutululis:
Closed-Loop Two-Stage Stochastic Optimization of Offshore Wind Farm Collection System. - Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang:
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition. - Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman, Mohamad Mounir Safadieh, Hamed Haddadi, Deborah Estrin:
Decentralized Policy-Based Private Analytics. - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou:
ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning. - Sakshi Patel, Bharath K. P, Rajesh Kumar Muthu:
Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification. - Sakshi Patel, Bharath K. P, Rajesh Kumar Muthu:
Image Encryption Decryption Using Chaotic Logistic Mapping and DNA Encoding. - Ivars Dzalbs, Tatiana Kalganova, Ian Dear:
Imperialist Competitive Algorithm with Independence and Constrained Assimilation for Solving 0-1 Multidimensional Knapsack Problem. - Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang, Yang Tang, Feng Qian:
Monocular Depth Estimation Based On Deep Learning: An Overview. - Nikolaos Melissinos, Aris Pagourtzis, Theofilos Triommatis:
Approximation Schemes for Subset Sum Ratio Problems. - Arbaz Khan, Catherine E. Powell:
Parameter-robust Stochastic Galerkin mixed approximation for linear poroelasticity with uncertain inputs. - Chao Huang, Ruihui Li, Xianzhi Li, Chi-Wing Fu:
Non-Local Part-Aware Point Cloud Denoising. - Caio Sacramento de Britto Almeida, Débora Abdalla Santos:
Text Similarity Using Word Embeddings to Classify Misinformation. - Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu:
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. - Matthias F. Stallmann, Yang Ho, Timothy D. Goodrich:
Graph Profiling for Vertex Cover: Targeted Reductions in a Branch and Reduce Solver. - Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations. - Christian Bessiere, Clément Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nadjib Lazaar, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis C. Tsouros, Toby Walsh:
Partial Queries for Constraint Acquisition. - Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li:
Structured Domain Adaptation for Unsupervised Person Re-identification. - Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. - Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold:
Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. - Mingzhou Yin, Andrea Iannelli, Mohammad Khosravi, Anilkumar Parsi, Roy S. Smith:
Linear Time-Periodic System Identification with Grouped Atomic Norm Regularization. - Xavier Claeys, Emile Parolin:
Robust treatment of cross points in Optimized Schwarz Methods. - Ning Shi:
Synonymous Generalization in Sequence-to-Sequence Recurrent Networks. - Thomas Kerdreux, Louis Thiry, Erwan Kerdreux:
Interactive Neural Style Transfer with Artists. - Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. - Ales Vavpetic, Emil Zagar:
On optimal polynomial geometric interpolation of circular arcs according to the Hausdorff distance. - Santosh Devasia:
Cohesive Networks using Delayed Self Reinforcement. - Pawel Gawrychowski, Wojciech Janczewski, Jakub Lopuszanski:
Shorter Labels for Routing in Trees. - Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle. - Ping-yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein:
Certified Defenses for Adversarial Patches. - Gilmarie O'Neill, Matthew Ball, Yujing Liu, Mojtaba Noghabaei, Kevin K. Han:
Toward Automated Virtual Assembly for Prefabricated Construction: Construction Sequencing through Simulated BIM. - Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy:
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. - Maria T. Nyamukuru, Kofi M. Odame:
Tiny Eats: Eating Detection on a Microcontroller. - Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. - Vedran Novakovic, Sanja Singer:
A Kogbetliantz-type algorithm for the hyperbolic SVD. - Djordje Batic, Dubravko Culibrk:
Identifying Individual Dogs in Social Media Images. - Rickard Brüel Gabrielsson:
Universal Function Approximation on Graphs using Multivalued Functions. - Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer:
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. - Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson:
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. - Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues. - Rodrigo Frassetto Nogueira, Zhiying Jiang, Jimmy Lin:
Document Ranking with a Pretrained Sequence-to-Sequence Model. - Lorenzo Pareschi, Mattia Zanella:
Monte Carlo stochastic Galerkin methods for the Boltzmann equation with uncertainties: space-homogeneous case. - Wentao Cai, Haosen Wen, H. Alan Beadle, Chris Kjellqvist, Mohammad Hedayati, Michael L. Scott:
Understanding and Optimizing Persistent Memory Allocation. - Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar:
Class Conditional Alignment for Partial Domain Adaptation. - Farzad Farshchi, Muhammad Saeed Abrishami, Sied Mehdi Fakhraie:
New Approximate Multiplier for Low Power Digital Signal Processing. - Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz:
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. - Sudarshan Ramenahalli:
A model of figure ground organization incorporating local and global cues. - Youssef Zaky, Gaurav Paruthi, Bryan P. Tripp, James Bergstra:
Active Perception and Representation for Robotic Manipulation. - Yifan He, Claus Aranha:
Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight. - Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock:
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. - Yakov Nekrich:
Four-Dimensional Dominance Range Reporting in Linear Space. - Muhammad Suhail Saleem, Maxim Likhachev:
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects. - Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. - Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang:
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets. - Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen:
A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. - Yiding Qiu, Anwesan Pal, Henrik I. Christensen:
Target driven visual navigation exploiting object relationships. - (Withdrawn) Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning.
- Liu Liu, Dylan Campbell, Hongdong Li, Dingfu Zhou, Xibin Song, Ruigang Yang:
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem. - Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. - Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. - Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji:
Siamese Box Adaptive Network for Visual Tracking. - Lei Wang, Wenbing Huang, Yuanpeng Li, Julian Evans, Sailing He:
Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game. - Yajing Zhou, Yang Yang, Zhengchun Zhou, Kushal Anand, Su Hu, Yong Liang Guan:
New Complementary Sets with Low PAPR Property under Spectral Null Constraints. - Jinnan Piao, Kai Niu, Jincheng Dai, Chao Dong:
Sphere Constraint based Enumeration Methods to Analyze the Minimum Weight Distribution of Polar Codes. - Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers. - Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent:
Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. - Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. - Christos N. Efrem, Athanasios D. Panagopoulos:
On the Computation and Approximation of Outage Probability in Satellite Networks with Smart Gateway Diversity. - Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda:
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. - Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza:
Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition. - John W. Lawson:
Towards automated kernel selection in machine learning systems: A SYCL case study. - Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. - Anton Osokin, Denis Sumin, Vasily Lomakin:
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features. - Ralf R. Müller:
On Approximation, Bounding & Exact Calculation of Block Error Probability for Random Codes. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Constraint Satisfaction in Data-Driven MPC. - Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su:
Towards Privacy Protection by Generating Adversarial Identity Masks. - Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia:
VCNet: A Robust Approach to Blind Image Inpainting. - Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. - Wangze Ni, Han Wu, Peng Cheng, Lei Chen, Xuemin Lin, Lei Chen, Xin Lai, Xiao Zhang:
CoinMagic: A Differential Privacy Framework for Ring Signature Schemes. - Kaiyan Chen, Ming Wu, Jiaming Liu, Chuang Zhang:
FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images. - Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Guohua Shen, Changbo Ke:
SOM-based DDoS Defense Mechanism using SDN for the Internet of Things. - Jianqin Yin, Yanchun Wu, Huaping Liu, Yonghao Dang, Zhiyi Liu, Jun Liu:
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos. - Zipeng Ye, Ran Yi, Minjing Yu, Juyong Zhang, Yu-Kun Lai, Yong-Jin Liu:
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos. - Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou:
SF-Net: Single-Frame Supervision for Temporal Action Localization. - Xingqian Xu, Mang Tik Chiu, Thomas S. Huang, Honghui Shi:
Deep Affinity Net: Instance Segmentation via Affinity. - Tugrulcan Elmas, Kristina Hardi, Rebekah Overdorf, Karl Aberer:
Can Celebrities Burst Your Bubble? - Nguyen Thi Thanh Thuy, Ngo Xuan Bach, Tu Minh Phuong:
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining. - Francesco Lohengrin Romeo:
A semi-implicit high-order space-time scheme on staggered meshes for the 2D incompressible Navier-Stokes equations. - Nelson Bore, Andrew Kinai, Peninah Waweru, Isaac Wambugu, Juliet Mutahi, Everlyne Kemunto, Reginald E. Bryant, Komminist Weldemariam:
ADW: Blockchain-enabled Small-scale Farm Digitization. - Leopoldo E. Bertossi, Jordan Li, Maximilian Schleich, Dan Suciu, Zografoula Vagena:
Causality-based Explanation of Classification Outcomes. - Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator. - Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia:
Recommending Deployment Strategies for Collaborative Tasks. - Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin'ichi Satoh:
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes. - Yusuke Tashiro, Yang Song, Stefano Ermon:
Output Diversified Initialization for Adversarial Attacks. - Zack Fitzsimmons, Omer Lev:
Selecting Voting Locations for Fun and Profit. - Liat Peterfreund:
Grammars for Document Spanners. - Xin Tan, Yiheng Zhang, Ying Cao, Lizhuang Ma, Rynson W. H. Lau:
Night-time Semantic Segmentation with a Large Real Dataset. - Bryan Gingras, Ali Pourranjbar, Georges Kaddoum:
Collaborative Spectrum Sensing in Tactical Wireless Networks. - Olivier Rukundo:
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation. - Kewen Peng, Tim Menzies:
How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool. - Francesco Lohengrin Romeo, Michael Dumbser, Maurizio Tavelli:
A novel staggered semi-implicit space-time discontinuous Galerkin method for the incompressible Navier-Stokes equations. - Roberto Bagnara, Michael Barr, Patricia M. Hill:
BARR-C: 2018 and MISRA C: 2012: Synergy Between the Two Most Widely Used C Coding Standards. - Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang:
Provably Efficient Exploration for RL with Unsupervised Learning. - Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes. - Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy:
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. - Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. - Vanessa Styles, James Van Yperen:
Numerical analysis for a system coupling curve evolution attached orthogonally to a fixed boundary, to a reaction-diffusion equation on the curve. - Stefan Haßler, Anna Maria Ranno, Marek Behr:
Finite-Element Formulation for Advection-Reaction Equations with Change of Variable and Discontinuity Capturing. - Sirish Srinivasan, Inkyu Sa, Alex Zyner, Victor Reijgwart, Miguel de la Iglesia Valls, Roland Siegwart:
End-to-End Velocity Estimation For Autonomous Racing. - Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki:
Getting Fairness Right: Towards a Toolbox for Practitioners. - Daniele Musso:
Stochastic gradient descent with random learning rate. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Self-Constructing Graph Convolutional Networks for Semantic Labeling. - Nguyen Tran, Rupali Mankar, David Mayerich, Zhu Han:
Hyperspectral-Multispectral Image Fusion with Weighted LASSO. - Cho-Ying Wu, Ulrich Neumann:
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario. - Peter Benner, Sara Grundel, Petar Mlinaric:
Clustering-Based Model Order Reduction for Nonlinear Network Systems. - Yue Guan, Dipankar Maity, Christopher M. Kroninger, Panagiotis Tsiotras:
Bounded-Rational Pursuit-Evasion Games. - Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. - Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu:
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition. - Pei Xu, Ioannis Karamouzas:
Particle-Based Adaptive Discretization for Continuous Control using Deep Reinforcement Learning. - Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames:
Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions. - Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine:
OmniTact: A Multi-Directional High Resolution Touch Sensor. - Deepan Muthirayan, Masood Parvania, Pramod P. Khargonekar:
Online Algorithms for Dynamic Matching Markets in Power Distribution Systems. - Thomas Jankuhn, Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov:
Error analysis of higher order trace finite element methods for the surface Stokes equations. - Avgoustinos Vouros, Eleni Vasilaki:
A semi-supervised sparse K-Means algorithm. - Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia:
Toward Adversarial Robustness via Semi-supervised Robust Training. - Pedro F. Proença, Pedro Simões:
TACO: Trash Annotations in Context for Litter Detection. - Guilherme Maeda, Joni Väätäinen, Hironori Yoshida:
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning. - Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Instance Detection in Deep Learning: A Survey. - Rafailia-Eleni Karamani, Iosif-Angelos Fyrigos, Vasileios G. Ntinas, Orestis Liolis, Giorgos Dimitrakopoulos, Mustafa Altun, Andrew Adamatzky, Mircea R. Stan, Georgios Ch. Sirakoulis:
Memristive Learning Cellular Automata: Theory and Applications. - Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld:
Supporting Hard Queries over Probabilistic Preferences. - Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang:
A CNN-Based Blind Denoising Method for Endoscopic Images. - Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa:
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation. - Yibin Xu, Yangyu Huang, Jianhua Shao, George Theodorakopoulos:
A Flexible n/2 Adversary Node Resistant and Halting Recoverable Blockchain Sharding Protocol. - Shing-Wei Wu, Chao-Yu Chen, Zilong Liu:
How to Construct Mutually Orthogonal Complementary Sets with Non-Power-of-Two Lengths? - Xuangui Huang:
Space Hardness of Solving Structured Linear Systems. - Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu:
Multi-Drone based Single Object Tracking with Agent Sharing Network. - Chixiang Ma, Lei Sun, Zhuoyao Zhong, Qiang Huo:
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks. - Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang:
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. - Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. - Kévin Garanger, Jeremy Epps, Eric Feron:
Modeling and Experimental Validation of a Fractal Tetrahedron UAS Assembly. - Matthew Shardlow, Michael Cooper, Marcos Zampieri:
CompLex - A New Corpus for Lexical Complexity Predicition from Likert Scale Data. - Jason Gaitonde, Éva Tardos:
Stability and Learning in Strategic Queuing Systems. - Jason Gaitonde, Jon M. Kleinberg, Éva Tardos:
Adversarial Perturbations of Opinion Dynamics in Networks. - Jianming Lv, Qinzhe Xiao, Jiajie Zhong:
AVR: Attention based Salient Visual Relationship Detection. - Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. - Ruide Li, Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Jinhong Yuan, Jianping An:
Resource Allocation for Secure Multi-UAV Communication Systems with Multi-Eavesdropper. - Rohit Singh, Douglas C. Sicker:
SHINE (Strategies for High-frequency INdoor Environments) with Efficient THz-AP Placement. - Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. - Manikandan Ravikiran:
Key Phrase Classification in Complex Assignments. - Xian-Ming Gu, Yong-Liang Zhao, Xi-Le Zhao, Bruno Carpentieri, Yu-Yun Huang:
A note on parallel preconditioning for the all-at-once solution of Riesz fractional diffusion equations. - (Withdrawn) Extended Feature Pyramid Network for Small Object Detection.
- Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu:
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation. - Yuanxin Cai, Zhiqiang Wei, Ruide Li, Derrick Wing Kwan Ng, Jinhong Yuan:
Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systems. - Jun Li, Wen Chen:
Joint Power Allocation and Precoding for Network Coding based Cooperative Multicast Systems. - Jun Li, Wen Chen:
Power Allocation in the High SNR Regime for A Multicast Cell with Regenerative Network Coding. - Meng Chen, Yang Liu, Xiaohui Yu:
NLPMM: a Next Location Predictor with Markov Modeling. - Changhun Jo, Kangwook Lee:
Discrete-valued Preference Estimation with Graph Side Information. - Kaito Imai, Takamichi Miyata:
Gated Texture CNN for Efficient and Configurable Image Denoising. - Yijun Song, Jingwen Wang, Lin Ma, Zhou Yu, Jun Yu:
Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos. - Paul X. McCarthy, Marian-Andrei Rizoiu, Sina Eghbal, Daniel S. Falster:
Long-term trends of diversity online. - Parisa Abolfath Beygi Dezfouli, Saeedeh Momtazi, Mehdi Dehghan:
Deep Neural Review Text Interaction for Recommendation Systems. - Takayuki Osa:
Multimodal Trajectory Optimization for Motion Planning. - Nawal Benabbou, Mithun Chakraborty, Ayumi Igarashi, Yair Zick:
Finding Fair and Efficient Allocations When Valuations Don't Add Up. - Noga Alon, Bruno Jartoux, Chaya Keller, Shakhar Smorodinsky, Yelena Yuditsky:
The ε-t-Net Problem. - Tor Inge Reigstad, Kjetil Uhlen:
Variable speed hydropower plant with virtual inertia control for provision of fast frequency reserves. - Osman Semih Kayhan, Jan C. van Gemert:
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location. - Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang:
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning. - Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang:
Adapting Object Detectors with Conditional Domain Normalization. - Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. - Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi:
A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic. - Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. - Zheng Ge, Zequn Jie, Xin Huang, Rong Xu, Osamu Yoshie:
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression. - Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning:
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. - Tanvi Verma, Pradeep Varakantham:
Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. - Ahmed Maalel, Henda Ben Ghézala:
Towards a Collaborative Approach to Decision Making Based on Ontology and Multi-Agent System Application to crisis management. - Bahram Kalhor, Alireza Nikravanshalmani:
Correlation between Content and Traffic of the Universities Website. - Moritz Kampelmühler, Axel Pinz:
Synthesizing human-like sketches from natural images using a conditional convolutional decoder. - Karl Bringmann, Nick Fischer, Danny Hermelin, Dvir Shabtay, Philip Wellnitz:
Faster Minimization of Tardy Processing Time on a Single Machine. - Guofa Cai, Yi Fang, Pingping Chen, Guojun Han, Guoen Cai, Yang Song:
Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT. - (Withdrawn) A Job-Assignment Heuristic for Lifelong Multi-Agent Path Finding Problem with Multiple Delivery Locations.
- Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden:
Minimal Solvers for Indoor UAV Positioning. - Amir Abboud, Karl Bringmann, Danny Hermelin, Dvir Shabtay:
Scheduling Lower Bounds via AND Subset Sum. - Mustafa Sahin Turan, Liang Xu, Giancarlo Ferrari-Trecate:
Consensusability of linear interconnected multi-agent systems. - Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu:
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. - Fatih Semiz, Faruk Polat:
Solving Area Coverage Problem with UAVs: A Vehicle Routing with Time Windows Variation. - Claudia Pop, Tudor Cioara, Ionut Anghel, Marcel Antal, Ioan Salomie:
Blockchain based Decentralized Applications: Technology Review and Development Guidelines. - Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David R. Choffnes:
Towards Automatic Identification and Blocking of Non-Critical IoT Traffic Destinations. - Rômulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar:
Active Depth Estimation: Stability Analysis and its Applications. - Huibing Wang, Jinjia Peng, Guangqi Jiang, Fengqiang Xu, Xianping Fu:
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification. - Antonia Godoy-Lorite, Nick S. Jones:
Inference and Influence of Large-Scale Social Networks Using Snapshot Population Behaviour without Network Data. - Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi:
RNE: A Scalable Network Embedding for Billion-scale Recommendation. - Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi:
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. - Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng:
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. - Chengxin Wang, Shaofeng Cai, Gary Tan:
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. - Piao Huang, Shoudong Han, Jun Zhao, Donghaisheng Liu, Hongwei Wang, En Yu, Alex ChiChung Kot:
Refinements in Motion and Appearance for Online Multi-Object Tracking. - Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto:
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world. - Chen Ling, Ruiqi Wang, Guangmo Tong:
SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting. - Jonas Bamse Andersen, Jørgen Bang-Jensen, Anders Yeo:
On the parameterized complexity of 2-partitions. - Monowar Hasan, Sibin Mohan, Takayuki Shimizu, Hongsheng Lu:
Securing Vehicle-to-Everything (V2X) Communication Platforms. - Aditya Dave, Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
Social Media and Misleading Information in a Democracy: A Mechanism Design Approach. - Flavio Carvalho, Gustavo Paiva Guedes:
TF-IDFC-RF: A Novel Supervised Term Weighting Scheme. - Martín Naya-Varela, Andrés Faiña, Richard J. Duro:
An Experiment in Morphological Development for Learning ANN Based Controllers. - Saul A. Johnson:
Passlab: A Password Security Tool for the Blue Team. - Sheng He, Lambert Schomaker:
FragNet: Writer Identification using Deep Fragment Networks. - Suat Gumussoy, Hitay Özbay:
Stable H-infinity controller design for time-delay systems. - Bryce Doerr, Richard Linares:
Decentralized Control of Large Collaborative Swarms using Random Finite Set Theory. - Jesus Gorronogoitia Cruz, Andrey Sadovykh, Dragos Truscan, Hugo Bruneliere, Pierluigi Pierini, Lara Lopez Muniz:
MegaM@Rt2 EU Project: Open Source Tools for Mega-Modelling at Runtime of CPSs. - Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, Mao Ye:
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation. - Kiran Karra, Chace Ashcraft, Neil Fendley:
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. - A. S. Rubtsova, K. S. Ryutin, Vladimir N. Temlyakov:
On the fixed volume discrepancy of the Korobov point sets. - Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. - Shengkai Zhang, Wei Wang, Tao Jiang:
WiFi-Inertial Indoor Pose Estimation for Micro Aerial Vehicles. - Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene:
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. - Yee Ching Tok, Chundong Wang, Sudipta Chattopadhyay:
STITCHER: Correlating Digital Forensic Evidence on Internet-of-Things Devices. - Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang:
Neural Pose Transfer by Spatially Adaptive Instance Normalization. - Ahmed Osman, Leila Arras, Wojciech Samek:
Towards Ground Truth Evaluation of Visual Explanations. - Abdelhakim Hannousse, Salima Yahiouche:
Securing Microservices and Microservice Architectures: A Systematic Mapping Study. - Leila Karimi, Maryam Aldairi, James Joshi, Mai Abdelhakim:
An Automatic Attribute Based Access Control Policy Extraction from Access Logs. - Ahmet Fatih Tabak:
Motion Control Simulations for a Magnetically-Coupled Bacterium and Robotic Arm. - Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I). - Qi Liu, Matt J. Kusner, Phil Blunsom:
A Survey on Contextual Embeddings. - MohammadTaghi Hajiaghayi, Masoud Seddighin, Saeed Seddighin, Xiaorui Sun:
Approximating LCS in Linear Time: Beating the √n Barrier. - Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni:
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization. - Khalil Mecheraoui, Julio Cesar Carrasquel, Irina A. Lomazova:
Compositional Conformance Checking of Nested Petri Nets and Event Logs of Multi-Agent Systems. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
On the Performance of Cooperative NOMA Using MRC at Road Intersections in the Presence of Interference. - Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo:
Dash: Scalable Hashing on Persistent Memory. - Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. - Aviral Kumar, Abhishek Gupta, Sergey Levine:
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction. - Fatima Salahdine, Elias Ghribi, Naima Kaabouch:
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. - Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch:
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. - Logan E. Beaver, Andreas A. Malikopoulos:
Beyond Reynolds: A Constraint-Driven Approach to Cluster Flocking. - Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze:
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. - Pengcheng Xia, Bowen Zhang, Ru Ji, Bingyu Gao, Lei Wu, Xiapu Luo, Haoyu Wang, Guoai Xu:
Characterizing Cryptocurrency Exchange Scams. - Julien Romero, Nicoleta Preda, Antoine Amarilli, Fabian M. Suchanek:
Equivalent Rewritings on Path Views with Binding Patterns. - Gianira N. Alfarano, Julia Lieb:
A simplified criterion for MDP convolutional codes. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs. - Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
Domain Adaptive Ensemble Learning. - Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. - Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han:
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. - Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia:
RSVQA: Visual Question Answering for Remote Sensing Data. - Behnaz Rezaei, Amirreza Farnoosh, Sarah Ostadabbas:
G-LBM: Generative Low-dimensional Background Model Estimation from Video Sequences. - Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang:
Developing a Recommendation Benchmark for MLPerf Training and Inference. - Adrian Kelly, Aidan O'Sullivan, Patrick de Mars, Antoine Marot:
Reinforcement Learning for Electricity Network Operation. - Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani:
Learning Shape Representations for Clothing Variations in Person Re-Identification. - Mazlum Ferhat Arslan, Sibel Tari:
Complexity of Shapes Embedded in Zn with a Bias Towards Squares. - Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer:
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. - Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich:
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. - Vivian Lai, Samuel Carton, Chenhao Tan:
Harnessing Explanations to Bridge AI and Humans. - Emily Chen, Kristina Lerman, Emilio Ferrara:
COVID-19: The First Public Coronavirus Twitter Dataset. - Michael Lienhardt, Ferruccio Damiani, Einar Broch Johnsen, Jacopo Mauro:
Lazy Product Discovery in Huge Configuration Spaces. - Nikhil Krishnaswamy, James Pustejovsky:
A Formal Analysis of Multimodal Referring Strategies Under Common Ground. - Thomas D. Dickerson:
Adapting Persistent Data Structures for Concurrency and Speculation. - Utkarsh Goel, Moritz Steiner:
System to Identify and Elide Superfluous JavaScript Code for Faster Webpage Loads. - Brandon C. Collins, Philip N. Brown:
Exploiting an Adversary's Intentions in Graphical Coordination Games. - Hashim A. Hashim:
Systematic Convergence of Nonlinear Stochastic Estimators on the Special Orthogonal Group SO(3). - Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan:
Neighborhood-based Pooling for Population-level Label Distribution Learning. - Hashim A. Hashim:
Nonlinear Stochastic Estimators on the Special Euclidean Group SE(3) using Uncertain IMU and Vision Measurements. - Sungho Shin, Qiugang Lu, Victor M. Zavala:
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. - Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. - Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White:
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. - Alan T. Sherman, Erin Lanus, Moses Liskov, Edward Zieglar, Richard Chang, Enis Golaszewski, Ryan Wnuk-Fink, Cyrus J. Bonyadi, Mario Yaksetig, Ian Blumenfeld:
Formal Methods Analysis of the Secure Remote Password Protocol. - Piotr Zielinski, Shankar Krishnan, Satrajit Chatterjee:
Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients. - Lenz Furrer, Joseph Cornelius, Fabio Rinaldi:
Parallel sequence tagging for concept recognition. - Shenghui Chen, Kayla Boggess, Lu Feng:
Towards Transparent Robotic Planning via Contrastive Explanations. - Yuval Efron, Ofer Grossman, Seri Khoury:
Beyond Alice and Bob: Improved Inapproximability for Maximum Independent Set in CONGEST. - Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha:
Developing a Multilingual Annotated Corpus of Misogyny and Aggression. - Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently. - Mohammad Arif Ul Alam, Dhawal Kapadia:
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. - Halgurd S. Maghdid, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Kevin Curran, Khaled M. Rabie:
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study. - Mudabbir Kaleem, Aron Laszka:
Vyper: A Security Comparison with Solidity Based on Common Vulnerabilities. - Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Duoquest: A Dual-Specification System for Expressive SQL Queries. - Archisman Ghosh, Debayan Das, Shreyas Sen:
Physical Time-Varying Transfer Functions as Generic Low-Overhead Power-SCA Countermeasure. - Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. - Al-Akhir Nayan, Joyeta Saha, Ahamad Nokib Mozumder, Khan Raqib Mahmud, Abul Kalam al Azad:
Real Time Detection of Small Objects. - Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa:
Learnergy: Energy-based Machine Learners. - Zhuohao Chen, Karan Singla, David C. Atkins, Zac E. Imel, Shrikanth Narayanan:
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification. - Shipra Malhotra, John Karanicolas:
A Numerical Transform of Random Forest Regressors corrects Systematically-Biased Predictions. - Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma:
Object-Centric Image Generation from Layouts. - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network. - Anssi Yli-Jyrä, Josi Purhonen, Matti Liljeqvist, Arto Antturi, Pekka Nieminen, Kari M. Räntilä, Valtter Luoto:
HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment. - Abhinav Dronamraju, Songyan Li, Qirui Li, Yuting Li, Daniel J. Tylavsky, Di Shi, Zhiwei Wang:
Implications of Stahl's Theorems to Holomorphic Embedding Pt 2: Numerical Convergence. - Zeses Pitenis, Marcos Zampieri, Tharindu Ranasinghe:
Offensive Language Identification in Greek. - Antonia Saravanou, Giorgio Stefanoni, Edgar Meij:
Identifying Notable News Stories. - Arne Fey, Gregor Thiele, Jörg Krüger:
Sparse Identification for Non-linear Dynamics applied to hysteresis-controlled systems. - Dongfang Xu, Xianghao Yu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober:
Resource Allocation for IRS-assisted Full-Duplex Cognitive Radio Systems. - Jiaxiong Qiu, Cai Chen, Shuaicheng Liu, Bing Zeng:
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping. - Stefanos Baros, Andrey Bernstein, Nikos D. Hatziargyriou:
A Framework for Distributed and Compositional Stability Analysis of Power Grids. - Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll:
Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach. - Songyan Li, Daniel J. Tylavsky, Di Shi, Zhiwei Wang:
Implications of Stahl's Theorems to Holomorphic Embedding Pt 1: Theoretical Convergence. - Guofeng Deng, Ezzeddine El Sai, Trevor Manders, Peter Mayr, Poramate Nakkirt, Athena Sparks:
Sandwiches for Promise Constraint Satisfaction. - Ke Dong, Karime Pereida, Florian Shkurti, Angela P. Schoellig:
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning. - Zheng Zhang, Ryuichi Takanobu, Minlie Huang, Xiaoyan Zhu:
Recent Advances and Challenges in Task-oriented Dialog System. - Yuichi Sudo, Masahiro Shibata, Junya Nakamura, Yonghwan Kim, Toshimitsu Masuzawa:
The Power of Global Knowledge on Self-stabilizing Population Protocols. - Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik:
AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment. - Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang, Hongfa Wang, Xu-Cheng Yin:
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection. - Bowen Liu, Siwei Sun, Pawel Szalachowski:
SMACS: Smart Contract Access Control Service. - Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. - Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. - Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Efficient Two-Sided Markets with Limited Information. - Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian D. Reid:
Real-time Image Smoothing via Iterative Least Squares. - Md. Amiruzzaman, Rizal Mohd Nor:
Hide Secret Information in Blocks: Minimum Distortion Embedding. - Amir Hossein Alikhah Mishamandani:
Software Design and Development of Attitude Determination and Control Subsystem for SSS-1P. - A. K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy, Judy W. Gichoya, Saptarshi Purkayastha:
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes. - Boris Aronov, Mark de Berg, Joachim Gudmundsson, Michael Horton:
On beta-Plurality Points in Spatial Voting Games. - Jongmin Yu, Yongsang Yoon, Moongu Jeon:
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition. - Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye:
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation. - Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Foundations of Explainable Knowledge-Enabled Systems. - Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans:
Energy-Based Processes for Exchangeable Data. - Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
Directions for Explainable Knowledge-Enabled Systems. - Rachel Gehlhar, Yuxiao Chen, Aaron D. Ames:
Data-driven Characterization of Human Interaction for Model-based Control of Powered Prostheses. - Hamid Hosseinianfar, Maïté Brandt-Pearce:
Cooperative Object Detection and Parameter Estimation Using Visible Light Communications. - Yansheng Wu, Yoonjin Lee:
Binary LCD Codes and Self-orthogonal Codes via Simplicial Complexes. - Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. - Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. - Zhaonan Qu, Yinyu Ye, Zhengyuan Zhou:
Diagonal Preconditioning: Theory and Algorithms. - Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton:
A Unified View of Label Shift Estimation. - Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. - Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang:
1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation. - Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung:
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. - Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu:
GFTE: Graph-based Financial Table Extraction. - Di Wu, Yihao Chen, Xianbiao Qi, Yongjian Yu, Weixuan Chen, Rong Xiao:
Neural Mesh Refiner for 6-DoF Pose Estimation. - Hao Yang, Dan Yan, Li Zhang, Dong Li, Yunda Sun, Shaodi You, Stephen J. Maybank:
Feedback Graph Convolutional Network for Skeleton-based Action Recognition. - Zhaojiang Lin, Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Yejin Bang, Etsuko Ishii, Pascale Fung:
XPersona: Evaluating Multilingual Personalized Chatbot. - Haya Brama, Tal Grinshpoun:
Heat and Blur: An Effective and Fast Defense Against Adversarial Examples. - Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu:
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. - Tingting Yu, Guoxian Yu, Jun Wang, Maozu Guo:
Partial Multi-label Learning with Label and Feature Collaboration. - Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild. - Wei Quan, Yuxuan Pan, Bin Xiang, Lin Zhang:
Reinforcement Learning Driven Adaptive VR Streaming with Optical Flow Based QoE. - Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng:
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. - Ran Duan, Haoqing He, Tianyi Zhang:
A Scaling Algorithm for Weighted f-Factors in General Graphs. - Ridvan Karagoz, Kim Batselier:
Nonlinear system identification with regularized Tensor Network B-splines. - Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme:
FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News. - Tomás Teijeiro, Paulo Félix:
Construe: a software solution for the explanation-based interpretation of time series. - Xiaoli Xu, Yong Zeng:
Time-Weighted Coverage of Integrated Aerial and Ground Networks for Post-Disaster Communications. - Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. - Soojung Yang, Kyung-Hoon Lee, Seongok Ryu:
A comprehensive study on the prediction reliability of graph neural networks for virtual screening. - Vladislav Sovrasov, Dmitry Sidnev:
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning. - Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, José Jesús Guerrero, Cédric Demonceaux, Luc Van Gool:
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets. - Stephan Wiefling, Luigi Lo Iacono, Markus Dürmuth:
Is This Really You? An Empirical Study on Risk-Based Authentication Applied in the Wild. - Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. - Daniel Schlör, Markus Ring, Andreas Hotho:
iNALU: Improved Neural Arithmetic Logic Unit. - Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh:
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. - Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller:
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond. - Ivan Sekulic, Michael Strube:
Adapting Deep Learning Methods for Mental Health Prediction on Social Media. - Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella:
Verification of Neural Networks: Enhancing Scalability through Pruning. - Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang:
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior. - Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon:
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Scalable Traffic Models for Scheduling of Linear Periodic Event-Triggered Controllers. - Wolfgang Erb:
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions. - Zhengzheng Tu, Chun Lin, Chenglong Li, Jin Tang, Bin Luo:
M5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking. - Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Shashi Raj Pandey, Anupam Kumar Bairagi, Choong Seon Hong:
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach. - Michael A. Bekos, Giordano Da Lozzo, Svenja Griesbach, Martin Gronemann, Fabrizio Montecchiani, Chrysanthi N. Raftopoulou:
Book Embeddings of Nonplanar Graphs with Small Faces in Few Pages. - Ziang Liu, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu:
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM). - Pablo Pueyo, Eric Cristofalo, Eduardo Montijano, Mac Schwager:
CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes. - Jakob Blomer, Philippe Canal, Axel Naumann, Danilo Piparo:
Evolution of the ROOT Tree I/O. - Sasitharan Balasubramaniam, Dmitri Botvich, Tao Gu, William Donnelly:
Chemotaxis and Quorum Sensing inspired Device Interaction supporting Social Networking. - Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety. - Michael Brunner, Clemens Sauerwein, Michael Felderer, Ruth Breu:
Risk Management Practices in Information Security: Exploring the Status Quo in the DACH Region. - Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole:
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems. - Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael J. Muller, David Piorkowski, John T. Richards, Justin D. Weisz, Yunfeng Zhang:
Business (mis)Use Cases of Generative AI. - Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha:
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study. - Chaehan So:
Who Wins the Game of Thrones? How Sentiments Improve the Prediction of Candidate Choice. - Austin Hounsel, Jordan Holland, Ben Kaiser, Kevin Borgolte, Nick Feamster, Jonathan R. Mayer:
Supporting Early and Scalable Discovery of Disinformation Websites. - Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai:
Weakly-Supervised Salient Object Detection via Scribble Annotations. - Mariya P. Shyshkina, Maiia V. Marienko:
Augmented reality as a tool for open science platform by research collaboration in virtual teams. - Sakshi Mishra, Andrew Glaws, Dylan Cutler, Stephen M. Frank, Muhammad Azam, Farzam Mohammadi, Jean-Simon Venne:
Data-Driven Metadata Tagging for Building Automation Systems: A Unified Architecture. - Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry A. Kautz:
Inferring Nighttime Satellite Imagery from Human Mobility. - Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Style Transfer. - S. Rasoul Etesami:
Online Assortment with Limited Inventories and Set-Dependent Revenues. - Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
N-1 Reliability Makes It Difficult for False Data Injection Attacks to Cause Physical Consequences. - Gabriel F. N. Gonçalves, Assen Batchvarov, Yuyi Liu, Yuxin Liu, Lachlan Mason, Indranil Pan, Omar K. Matar:
Data-driven surrogate modelling and benchmarking for process equipment. - Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d'Alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh:
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach. - Liangzu Peng, Manolis C. Tsakiris:
Linear Regression without Correspondences via Concave Minimization. - Marco Forte, François Pitié:
F, B, Alpha Matting. - Konstantinos Vlachas, Konstantinos Tatsis, Konstantinos Agathos, Adam R. Brink, Eleni N. Chatzi:
A local basis approximation approach for nonlinear parametric model order reduction. - Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen:
Multimodal Shape Completion via Conditional Generative Adversarial Networks. - Allison June-Barlow Chaney, Archit Verma, Young-Suk Lee, Barbara E. Engelhardt:
Nonparametric Deconvolution Models. - Liang Wang, Tao Gu, Xianping Tao, Jian Lu:
Toward a Wearable RFID System for Real-Time Activity Recognition Using Radio Patterns. - Xiaoyao Peng, Dhriti Nepal, Kaushik Dayal:
Effective Response of Heterogeneous Materials using the Recursive Projection Method. - Thomas N. Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus:
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. - Salvador Dominguez, Gaëtan Garcia, Vincent Frémont, Arnaud Hamon:
An Experimental Evaluation of Robustness and Precision for Long-term LiDAR-based Localization in Highly Changing Environments. - Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis:
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning. - Riccardo Fazio:
The Non-Iterative Transformation Method. - Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li:
Learning Meta Face Recognition in Unseen Domains. - Da-Hye Yoon, Nam-Gyu Cho, Seong-Whan Lee:
A Novel Online Action Detection Framework from Untrimmed Video Streams. - Salvador Dominguez, Gaëtan Garcia, Arnaud Hamon, Vincent Frémont:
Longitudinal Dynamics Model Identification of an Electric Car Based on Real Response Approximation. - Daniel J. Fremont, Edward Kim, Yash Vardhan Pant, Sanjit A. Seshia, Atul Acharya, Xantha Bruso, Paul Wells, Steve Lemke, Qiang Lu, Shalin Mehta:
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World. - Eunju Cha, Gyutaek Oh, Jong Chul Ye:
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. - Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li:
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. - Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. - Arya Tanmay Gupta, Swapnil A. Lokhande, Kaushik Mondal:
NP-completeness Results for Graph Burning on Geometric Graphs. - Lanfranco Zanzi, Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez:
NSBchain: A Secure Blockchain Framework for Network Slicing Brokerage. - Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. - Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. - Vladimir Iashin, Esa Rahtu:
Multi-modal Dense Video Captioning. - Aleksey Charapko, Ailidani Ailijiang, Murat Demirbas:
PigPaxos: Devouring the communication bottlenecks in distributed consensus. - Wen-Yan Lin:
Hierarchical Models: Intrinsic Separability in High Dimensions. - Johannes Vrana, Ripudaman Singh:
The NDE 4.0: Key Challenges, Use Cases, and Adaption. - Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder. - Meng Chen, Xiaohui Yu, Yang Liu:
TraLFM: Latent Factor Modeling of Traffic Trajectory Data. - Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen:
TTDM: A Travel Time Difference Model for Next Location Prediction. - Meng Chen, Xiaohui Yu, Yang Liu:
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations. - Hagit Attiya, Sweta Kumari, Archit Somani, Jennifer L. Welch:
Store-Collect in the Presence of Continuous Churn with Application to Snapshots and Lattice Agreement. - Charles Dawson, Andreas G. Hofmann, Brian C. Williams:
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. - Akanksha Agrawal, Kristine V. K. Knudsen, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi:
The Parameterized Complexity of Guarding Almost Convex Polygons. - (Withdrawn) Research on a New Convolutional Neural Network Model Combined with Random Edges Adding.
- Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman:
Hyperplane Arrangements of Trained ConvNets Are Biased. - Francesco Rizzi, Patrick J. Blonigan, Kevin T. Carlberg:
Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems. - Pablo Barceló, Cristina Feier, Carsten Lutz, Andreas Pieris:
When is Ontology-Mediated Querying Efficient? - Lap Chi Lau, Hong Zhou:
A Spectral Approach to Network Design. - Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. - Sinan Ariyurek, Aysu Betin-Can, Elif Sürer:
Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testing. - Alexander E. Beasley, Anna L. Powell, Andrew Adamatzky:
Capacitive storage in mycelium substrate. - Matheus F. Reis, A. Pedro Aguiar, Paulo Tabuada:
Control Barrier Function based Quadratic Programs Introduce Undesirable Asymptotically Stable Equilibria. - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. - (Withdrawn) Burst Denoising of Dark Images.
- Alexander E. Beasley, Anna L. Powell, Andrew Adamatzky:
Fungal photosensors. - Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. - Pierre-Amaury Grumiaux, Srdjan Kitic, Laurent Girin, Alexandre Guérin:
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features. - Michael Merritt, Alen Alexanderian, Pierre-Alain Gremaud:
Multiscale global sensitivity analysis for stochastic chemical systems. - Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Rethinking Batch Normalization in Transformers. - Xinshuo Weng, Ye Yuan, Kris Kitani:
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling. - Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image with Few Colors. - Takuhiro Kaneko, Tatsuya Harada:
Blur, Noise, and Compression Robust Generative Adversarial Networks. - Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. - Yue Wang, Esha Sarkar, Michail Maniatakos, Saif Eddin Jabari:
Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems. - Shirin Noei, Xilei Zhao, Carl D. Crane:
Longitudinal Control of Vehicles in Traffic Microsimulation. - Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Antonia M. Tulino, Georg Fischer, Robert Schober:
A Single-RF Architecture for Multiuser Massive MIMO via Reflecting Surfaces. - Shrey Desai, Greg Durrett:
Calibration of Pre-trained Transformers. - Huck Bennett, Chris Peikert:
Hardness of Bounded Distance Decoding on Lattices in 𝓁p Norms. - Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin:
Generating Electronic Health Records with Multiple Data Types and Constraints. - Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Supervised Log Parsing. - Keith Shannon, Elias Towe, Ozan K. Tonguz:
On the Use of Quantum Entanglement in Secure Communications: A Survey. - Bas Peters:
Deep connections between learning from limited labels & physical parameter estimation - inspiration for regularization. - Simon Hadush, Yaecob Girmay, Abiot Sinamo, Gebrekirstos Hagos:
Breast Cancer Detection Using Convolutional Neural Networks. - (Withdrawn) Regularization of linear and nonlinear ill-posed problems by mollification.
- Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, Andrea Janes:
Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code. - Utsav Sadana, Erick Delage:
The value of randomized strategies in distributionally robust risk averse network interdiction games. - Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko:
The Value of Nullspace Tuning Using Partial Label Information. - William W. Hsieh:
Improving predictions by nonlinear regression models from outlying input data. - Marco Forte, Brian L. Price, Scott Cohen, Ning Xu, François Pitié:
Getting to 99% Accuracy in Interactive Segmentation. - Yichun Shi, Anil K. Jain:
Generalizing Face Representation with Unlabeled Data. - Andreas Venzke, Daniel Timon Viola, Jeanne Mermet-Guyennet, George S. Misyris, Spyros Chatzivasileiadis:
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. - Soroush Bateni, Zhendong Wang, Yuankun Zhu, Yang Hu, Cong Liu:
Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform. - Edemir Ferreira, Matheus Brito, Remis Balaniuk, Mário S. Alvim, Jefersson A. dos Santos:
BrazilDAM: A Benchmark dataset for Tailings Dam Detection. - Vishaal Krishnan, Fabio Pasqualetti:
Data-Driven Attack Detection for Linear Systems. - Raquel Aoki, Martin Ester:
ParKCa: Causal Inference with Partially Known Causes. - Matheus Barros Pereira, Jefersson Alex dos Santos:
An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation. - Deepak Kapur, Yiming Yang:
An Algorithm for Computing a Minimal Comprehensive Gröbner\, Basis of a Parametric Polynomial System. - Jianan Yao, Gabriel Ryan, Justin Wong, Suman Jana, Ronghui Gu:
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks. - Tapajit Dey, Bogdan Vasilescu, Audris Mockus:
An Exploratory Study of Bot Commits. - Farzaneh Farhadi, Demosthenis Teneketzis:
Dynamic Information Design: A Simple Problem on Optimal Sequential Information Disclosure. - Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert:
Maximizing Influence-based Group Shapley Centrality. - Siddharth Agarwal, Ankit Vora, Gaurav Pandey, Wayne Williams, Helen Kourous, James R. McBride:
Ford Multi-AV Seasonal Dataset. - Avijit Bhattacharjee, Sristy Sumana Nath, Shurui Zhou, Debasish Chakroborti, Banani Roy, Chanchal K. Roy, Kevin A. Schneider:
An Exploratory Study to Find Motives Behind Cross-platform Forks from Software Heritage Dataset. - Riccardo Fazio:
The Iterative Transformation Method. - Dong Zhang, Luis D. Couto, Sebastien Benjamin, Wente Zeng, Daniel F. Coutinho, Scott J. Moura:
State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory. - Matthew Abate, Maxence Dutreix, Samuel Coogan:
Tight Decomposition Functions for Continuous-Time Mixed-Monotone Systems with Disturbances. - Masoud Arash, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe:
Localization Efficiency in Massive MIMO Systems. - Sai Pushpak Nandanoori, Soumya Kundu, Wei Du, Francis K. Tuffner, Kevin P. Schneider:
Distributed Small-Signal Stability Conditions for Inverter-Based Unbalanced Microgrids. - Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adversarial Transferability in Wearable Sensor Systems. - Simon Zhang, Mengbai Xiao, Hao Wang:
GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes. - Daniel Gordon, Kiana Ehsani, Dieter Fox, Ali Farhadi:
Watching the World Go By: Representation Learning from Unlabeled Videos. - Shivali Goel, Homayoon S. M. Beigi:
Cross Lingual Cross Corpus Speech Emotion Recognition. - Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li:
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. - Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang:
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation. - Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. - Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li:
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization. - Parag Mali, Puneeth Kukkadapu, Mahshad Mahdavi, Richard Zanibbi:
ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images. - Khawar Islam, Akhter Raza:
Forecasting Crime Using ARIMA Model. - Guang Chao Wang, Kenny Gross, Akshay Subramaniam:
ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases. - Lindsey Gray, Thomas Klijnsma, Shamik Ghosh:
A Dynamic Reduction Network for Point Clouds. - Ziyi Zhou, Ye Zhao:
Accelerated ADMM based Trajectory Optimization for Legged Locomotion with Coupled Rigid Body Dynamics. - Niloufar Salehi Dastjerdi, M. Omair Ahmad:
Applying r-spatiogram in object tracking for occlusion handling. - Yu Tian, Kunbo Zhang, Leyuan Wang, Zhenan Sun:
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario. - Yang Xing, Chen Lv, Dongpu Cao, Efstathios Velenis:
A Unified Multi-scale and Multi-task Learning Framework for Driver Behaviors Reasoning. - Shuai Wang, Fan Lyu, Wei Feng, Song Wang:
MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension. - Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames:
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. - Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen:
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries. - Carolyn Matl, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox:
Inferring the Material Properties of Granular Media for Robotic Tasks. - Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng:
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. - Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang:
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. - Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. - Xu Li, Jingwen Wang, Lin Ma, Kaihao Zhang, Fengzong Lian, Zhanhui Kang, Jinjun Wang:
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition. - Kanako Marusaki, Hiroshi Watanabe:
Capsule GAN Using Capsule Network for Generator Architecture. - Diego L. Guarin, Aidan Dempster, Andrea Bandini, Yana Yunusova, Babak Taati:
Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking. - A. Fahim, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
Multi-Source DOA Estimation through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield. - Qing Tian, Chuang Ma, Meng Cao, Songcan Chen:
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. - Yuan Shen, Shanduojiao Jiang, Muhammad Rizky Wellyanto, Ranjitha Kumar:
Can AI decrypt fashion jargon for you? - Mohamed Yaseen Jabarulla, Heung-No Lee:
Blockchain-Based Distributed Patient-Centric Image Management System. - Changhee Won, Hochang Seok, Zhaopeng Cui, Marc Pollefeys, Jongwoo Lim:
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems. - Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei:
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing. - Fleurianne Bertrand, Daniele Boffi, Rui Ma:
An adaptive finite element scheme for the Hellinger-Reissner elasticity mixed eigenvalue problem. - Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Stable Neural Flows. - Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao:
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification. - Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas:
Speeding up Linear Programming using Randomized Linear Algebra. - Moab Arar, Yiftach Ginger, Dov Danon, Ilya Leizerson, Amit Bermano, Daniel Cohen-Or:
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. - Luke Ditria, Benjamin J. Meyer, Tom Drummond:
OpenGAN: Open Set Generative Adversarial Networks. - (Withdrawn) Scene Text Recognition via Transformer.
- Yixiao Yang:
Improving the Robustness to Data Inconsistency between Training and Testing for Code Completion by Hierarchical Language Model. - Hiroshi Abe:
An Novel Explicit Method to Solve Linear Dispersive Media for Finite Difference Time Domain Scheme. - Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown:
Federated Visual Classification with Real-World Data Distribution. - Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. - Jay Whang, Qi Lei, Alexandros G. Dimakis:
Compressed Sensing with Invertible Generative Models and Dependent Noise. - Joel Dahne, Bruno Salvy:
Computation of Tight Enclosures for Laplacian Eigenvalues. - Hiroaki Naganuma, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara, Naoki Kobayashi:
Grammar compression with probabilistic context-free grammar. - Baptiste Schubnel, Rafael E. Carrillo, Pierre-Jean Alet, Andreas Hutter:
A hybrid learning method for system identification and optimal control. - Francis Filbet, Luis Miguel Rodrigues, Hamed Zakerzadeh:
Convergence Analysis of Asymptotic Preserving Schemes for Strongly Magnetized plasmas. - Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi:
Efficient improper learning for online logistic regression. - Francesco Giuliari, Irtiza Hasan, Marco Cristani, Fabio Galasso:
Transformer Networks for Trajectory Forecasting. - Étienne André, Tian Huat Tan, Manman Chen, Shuang Liu, Jun Sun, Yang Liu, Jin Song Dong:
Automated synthesis of local time requirement for service composition. - Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. - Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images. - Haris Aziz:
Achieving Envy-freeness and Equitability with Monetary Transfers. - Mahault Garnerin, Solange Rossato, Laurent Besacier:
Gender Representation in Open Source Speech Resources. - Chen Zhang, Xiaobo Lu, Zhiliang Huang:
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence. - Xinyi Guo, Jinfeng Li:
A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency. - Taro Sekiyama, Takeshi Tsukada, Atsushi Igarashi:
Signature restriction for polymorphic algebraic effects. - Florian Ingels, Romain Azaïs:
Enumeration of Unordered Forests. - S. Hamidreza Kasaei, Jorik Melsen, Floris van Beers, Christiaan Steenkist, Klemen Voncina:
The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation. - Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin:
SwapText: Image Based Texts Transfer in Scenes. - Tessa van der Heiden, Christian Weiss, Naveen Shankar Nagaraja, Herke van Hoof:
Social navigation with human empowerment driven reinforcement learning. - Qi Zhang, Antoni B. Chan:
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels. - Martin Grohe:
Counting Bounded Tree Depth Homomorphisms. - Yujin Tang, Duong Nguyen, David Ha:
Neuroevolution of Self-Interpretable Agents. - Teemu Lehto, Markku Hinkka:
Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis. - Bedir Tekinerdogan, Namik Aktekin:
Model-Based User Interface Design for Generating E-Forms in the Context of an E-Government Project. - Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun:
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. - Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed:
Anchor & Transform: Learning Sparse Representations of Discrete Objects. - David Holtz, Benjamin A. Carterette, Praveen Chandar, Zahra Nazari, Henriette Cramer, Sinan Aral:
The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. - Miriam Enzi, Sophie N. Parragh, David Pisinger:
Modeling and solving a vehicle-sharing problem. - Yu Yang, Seshadhri Srinivasan, Guoqiang Hu, Costas J. Spanos:
Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality. - Mostafa Kiani:
Optimal Image Smoothing and Its Applications in Anomaly Detection in Remote Sensing. - Shoupu Wan:
An Efficient Implementation of Manacher's Algorithm. - Md. Amiruzzaman, Suphanut Jamonnak:
Multi-dimensional Skyline Query to Find Best Shopping Mall for Customers. - Ondrej Maxian, Charles S. Peskin:
An immersed boundary method with subgrid resolution and improved numerical stability applied to slender bodies in Stokes flow. - Jun Seo, Sung Whan Yoon, Jaekyun Moon:
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification. - Yuan Gong, Jian Yang, Christian Poellabauer:
Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method. - Elena D'Amato, Constantino Carlos Reyes-Aldasoro, Maria Felicia Faienza, Marcella Zollino:
Detection of Pitt-Hopkins Syndrome based on morphological facial features. - (Withdrawn) Rethinking Object Detection in Retail Stores.
- Xu Jiang, Nan Guan, He Du, Weichen Liu, Wang Yi:
On the Analysis of Parallel Real-Time Tasks with Spin Locks. - Young-Hyun Park, Jun Seo, Jaekyun Moon:
CAFENet: Class-Agnostic Few-Shot Edge Detection Network. - Sándor P. Fekete, Utkarsh Gupta, Phillip Keldenich, Christian Scheffer, Sahil Shah:
Worst-Case Optimal Covering of Rectangles by Disks. - Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou:
Fixing the train-test resolution discrepancy: FixEfficientNet. - Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Patient-centric HetNets Powered by Machine Learning and Big Data Analytics for 6G Networks. - Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. - Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu:
Few-Shot Graph Classification with Model Agnostic Meta-Learning. - Lukas Fleischer, Jeffrey O. Shallit:
The State Complexity of Lexicographically Smallest Words and Computing Successors. - Dongjae Lee, Hoseong Seo, Dabin Kim, H. Jin Kim:
Aerial Manipulation using Model Predictive Control for Opening a Hinged Door. - Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko:
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. - Sølve Eidnes:
Order theory for discrete gradient methods. - Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang:
Pre-trained Models for Natural Language Processing: A Survey. - Ernie Chang, David Ifeoluwa Adelani, Xiaoyu Shen, Vera Demberg:
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training. - Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou:
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. - Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries:
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. - R. Wes Baldwin, Mohammed Almatrafi, Vijayan K. Asari, Keigo Hirakawa:
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras. - Tatiana Savina, Ivan Sterligov:
Prevalence of Potentially Predatory Publishing in Scopus on the Country Level. - Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li:
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways. - Siu-Wing Cheng, Man-Kit Lau:
Dynamic Distribution-Sensitive Point Location. - Luis A. Mateos:
Particle robots A new specie of hybrid bio-inspired robotics. - Zijia Zhong, Earl E. Lee II, Mark M. Nejad, Joyoung Lee:
Influence of CAV Clustering Strategies on Mixed Traffic Flow Characteristics: An Analysis of Vehicle Trajectory Data. - Ali-akbar Agha-mohammadi, Andrea Tagliabue, Stephanie Schneider, Benjamin Morrell, Marco Pavone, Jason Hofgartner, Issa A. D. Nesnas, Rashied B. Amini, Arash Kalantari, Alessandra Babuscia, Jonathan I. Lunine:
The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version). - Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP. - Suat Gumussoy, Wim Michiels:
A Predictor-Corrector Type Algorithm for the Pseudospectral Abscissa Computation of Time-Delay Systems. - Rafael Peñaloza:
Axiom Pinpointing. - Ali Baheri, Ilya V. Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar P. Filev:
Vision-Based Autonomous Driving: A Model Learning Approach. - María José Gómez-Silva, Jose M. Armingol, Arturo de la Escalera:
Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification. - Jie Li, Yong Zhou, He Chen:
Age of Information for Multicast Transmission with Fixed and Random Deadlines in IoT Systems. - Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, Blesson Varghese:
Cross Architectural Power Modelling. - Kyle Wilson, David Bindel:
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging. - Steven Kisseleff, Symeon Chatzinotas, Björn E. Ottersten:
Random Access based Reliable Uplink Communication and Power Transfer using Dynamic Power Splitting. - Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
DeepCap: Monocular Human Performance Capture Using Weak Supervision. - Siu-Wing Cheng, Man-Kwun Chiu, Kai Jin, Man Ting Wong:
A Generalization of Self-Improving Algorithms. - Alan Ayala, Xavier Claeys, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes:
Local Multiple Traces Formulation for Electromagnetics: Stability and Preconditioning for Smooth Geometries. - Aviv Adler, Jeffrey Bosboom, Erik D. Demaine, Martin L. Demaine, Quanquan C. Liu, Jayson Lynch:
Tatamibari is NP-complete. - Karim Makki, Amine Bohi, Augustin C. Ogier, Marc-Emmanuel Bellemare:
A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations. - Zongxin Yang, Yunchao Wei, Yi Yang:
Collaborative Video Object Segmentation by Foreground-Background Integration. - Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁1-𝓁1 Minimization: Architecture Design and Generalization Analysis. - Krzysztof Mnich, Agnieszka Kitlas Golinska, Aneta Polewko-Klim, Witold R. Rudnicki:
Bootstrap Bias Corrected Cross Validation applied to Super Learning. - Islam Elnabarawy, Wei Jiang, Donald C. Wunsch II:
Survey of Privacy-Preserving Collaborative Filtering. - Anish Agarwal, Munther A. Dahleh, Thibaut Horel, Maryann Rui:
Towards Data Auctions with Externalities. - Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys:
Multi-View Optimization of Local Feature Geometry. - Tanner Fry, Tapajit Dey, Andrey Karnauch, Audris Mockus:
A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits. - Junye Wen, Mujahid Khan, Meiru Che, Yan Yan, Guowei Yang:
Constraint Solving with Deep Learning for Symbolic Execution. - Marc Brittain, Xuxi Yang, Peng Wei:
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance. - Jerrin Thomas Panachakel, Jeena R. S:
Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines. - Poorna Chandra Tejasvi, Vasanth Rajaraman, Arun Babu Puthuparambil, Akhil Pankaj, Bharadwaj Amrutur:
Vermillion: A High-Performance Scalable IoT Middleware for Smart Cities. - Xiaozhe Gu, Arvind Easwaran:
Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems. - Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang:
Deep Quaternion Features for Privacy Protection. - Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. - David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow:
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. - Maxim S. Kovalev, Lev V. Utkin, Ernest M. Kasimov:
SurvLIME: A method for explaining machine learning survival models. - Seyed Mohammadhossein Tabatabaee, Jean-Yves Le Boudec, Marc Boyer:
Interleaved Weighted Round-Robin: A Network Calculus Analysis. - Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots:
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. - Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart:
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting. - Mayee Chen, Miklós Z. Rácz:
Network disruption: maximizing disagreement and polarization in social networks. - Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
TTTTTackling WinoGrande Schemas. - Daniele Boffi, Johnny Guzmán, Michael Neilan:
Convergence of Lagrange finite elements for the Maxwell Eigenvalue Problem in 2D. - Abu Saleh Md. Abir, Sanjana Rahman, Samia Ellin, Maisha Farzana, Md Hridoy Manik, Chowdhury Rafeed Rahman:
Constraints in Developing a Complete Bengali Optical Character Recognition System. - Jannis Vamvas, Rico Sennrich:
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection. - Ye Yuan, Kris M. Kitani:
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction. - Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization from RGB-D Scans. - Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block For Image Style Transfer. - Yimeng Min, Frederik Wenkel, Guy Wolf:
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. - Fei Ding, Xiaohong Zhang, Justin Sybrandt, Ilya Safro:
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization. - Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. - Abhishek Jana, Md. Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T. Amariucai:
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication. - Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. - Siyao Peng, Yang Liu, Yilun Zhu, Austin Blodgett, Yushi Zhao, Nathan Schneider:
A Corpus of Adpositional Supersenses for Mandarin Chinese. - Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille:
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation. - Maurício Gruppi, Benjamin D. Horne, Sibel Adali:
NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. - Anna Goldie, Azalia Mirhoseini:
Placement Optimization with Deep Reinforcement Learning. - Xavier Goaoc, Emo Welzl:
Convex Hulls of Random Order Types. - Andrea Coletta, Gaia Maselli, Mauro Piva, Domenicomichele Silvestri, Francesco Restuccia:
My SIM is Leaking My Data: Exposing Self-Login Privacy Breaches in Smartphones. - Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi:
Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder. - Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz:
Semi-supervised few-shot learning for medical image segmentation. - Franz J. Brandenburg:
Fan-Crossing Free Graphs. - Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer:
Train, Learn, Expand, Repeat. - Madan Ravi Ganesh, Jason J. Corso, Salimeh Yasaei Sekeh:
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming. - Pantelis Maniotis, Nikolaos Thomos:
Viewport-Aware Deep Reinforcement Learning Approach for 360° Video Caching. - Giovanna Castellano, Eufemia Lella, Gennaro Vessio:
Visual link retrieval and knowledge discovery in painting datasets. - Paul Irofti, Florin Stoican, Vicenç Puig:
Fault Handling in Large Water Networks with Online Dictionary Learning. - Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan:
Self-Supervised Contextual Bandits in Computer Vision. - Canlin Zhang, Xiuwen Liu, Daniel Bis:
An Analysis on the Learning Rules of the Skip-Gram Model. - Andreas Robinson:
Progress Extrapolating Algorithmic Learning to Arbitrary Sequence Lengths. - Kaan Aksit, Jan Kautz, David Luebke:
Gaze-Sensing LEDs for Head Mounted Displays. - Farhad Farokhi, Mohamed Ali Kâafar:
Predicting Performance of Asynchronous Differentially-Private Learning. - Reaz Huq, Bogumil Kaminski, Atefeh Mashatan, Pawel Pralat, Przemyslaw Szufel:
On Broadcasting Time in the Model of Travelling Agents. - Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Reconstructing Sinus Anatomy from Endoscopic Video - Towards a Radiation-free Approach for Quantitative Longitudinal Assessment. - Susanne C. Brenner, Li-Yeng Sung, Winnifried Wollner:
A One Dimensional Elliptic Distributed Optimal Control Problem with Pointwise Derivative Constraints. - Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
A Metric Learning Reality Check. - Wen-Loong Ma, Noel Csomay-Shanklin, Aaron D. Ames:
Coupled Control Systems: Periodic Orbit Generation with Application to Quadrupedal Locomotion. - Steven I. Reeves, Dongwook Lee, Adam Reyes, Carlo Graziani, Petros Tzeferacos:
An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation. - Amee Trivedi, Jeremy Gummeson, Prashant J. Shenoy:
Empirical Characterization of Mobility of Multi-Device Internet Users. - Ruigang Wang, Roland Tóth, Ian R. Manchester:
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. - Gökhan Yildirim, Debashis Sen, Mohan S. Kankanhalli, Sabine Süsstrunk:
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency. - Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-based Interactive ENvironment. - Fahad Islam, Oren Salzman, Aditya Agraval, Maxim Likhachev:
Provably Constant-Time Planning and Re-planning for Real-time Grasping Objects off a Conveyor. - Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg:
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation. - Yunhao Ge, Jiaping Zhao, Laurent Itti:
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition. - Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab:
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. - Michael Chesser, Asangi Jayatilaka, Renuka Visvanathan, Christophe Fumeaux, Alanson P. Sample, Damith Chinthana Ranasinghe:
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits. - Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley:
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. - Longxiu Huang, Deanna Needell:
HOSVD-Based Algorithm for Weighted Tensor Completion. - Zhuoping Yu, Xiaozhou Ren, Yuyao Huang, Wei Tian, Junqiao Zhao:
Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers. - Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Neha Rajput, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Reddy Satti, Niranjan Nayak:
QnAMaker: Data to Bot in 2 Minutes. - Xuerun Chen:
Adjust Planning Strategies to Accommodate Reinforcement Learning Agents. - Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng:
Quality Control of Neuron Reconstruction Based on Deep Learning. - Wenjin Wang, Yunqing Hu, Yin Zhang:
Lifelong Learning with Searchable Extension Units. - Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua:
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. - Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon:
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. - Daiki Hirata, Norikazu Takahashi:
Ensemble learning in CNN augmented with fully connected subnetworks. - Ramesh Raskar, Isabel Schunemann, Rachel Barbar, Kristen Vilcans, Jim Gray, Praneeth Vepakomma, Suraj Kapa, Andrea Nuzzo, Rajiv Gupta, Alex Berke, Dazza Greenwood, Christian Keegan, Shriank Kanaparti, Robson Beaudry, David Stansbury, Beatriz Botero Arcila, Rishank Kanaparti, Vitor F. Pamplona, Francesco M. Benedetti, Alina Clough, Riddhiman Das, Kaushal Jain, Khahlil Louisy, Greg Nadeau, Vitor Pamplona, Steve Penrod, Yasaman Rajaee, Abhishek Singh, Greg Storm, John Werner:
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. - Jungwoon Shin:
Bipartite Link Prediction based on Topological Features via 2-hop Path. - Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi:
Uncertainty Estimation in Cancer Survival Prediction. - Tho Nguyen Duc, Chanh Minh Tran, Tan Phan-Xuan, Eiji Kamioka:
Convolutional Neural Networks for Continuous QoE Prediction in Video Streaming Services. - Nikita Samarin, Alisa Frik, Sean Brooks, Coye Cheshire, Serge Egelman:
Conducting Privacy-Sensitive Surveys: A Case Study of Civil Society Organizations. - Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. - Baha Rababah, Srija Srivastava:
Hybrid Model For Intrusion Detection Systems. - Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas:
Curriculum DeepSDF. - Roya Firoozi, Xiaojing Zhang, Francesco Borrelli:
Formation and Reconfiguration of Tight Multi-Lane Platoons. - Giovanna Castellano, Gennaro Vessio:
Deep convolutional embedding for digitized painting clustering. - Dirk Abels, Julian Jordi, Max Ostrowski, Torsten Schaub, Ambra Toletti, Philipp Wanko:
Train Scheduling with Hybrid Answer Set Programming. - Hui Tang, Ke Chen, Kui Jia:
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. - Zuyao Chen, Qingming Huang:
Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection. - Yonghui Zhang, Ke Gu:
AQPDBJUT Dataset: Picture-Based PM Monitoring in the Campus of BJUT. - Hossein Shokri Ghadikolaei, Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione:
A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks. - Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. - Ali Balali, Masoud Asadpour, Ricardo Campos, Adam Jatowt:
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks. - Chanh Minh Tran, Tho Nguyen Duc, Tan Phan-Xuan, Eiji Kamioka:
FAURAS: A Proxy-based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push. - Francesca Ceragioli, Paolo Frasca, Wilbert Samuel Rossi:
Modeling limited attention in opinion dynamics by topological interactions. - Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas:
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. - An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. - Laure Daviaud, Marcin Jurdzinski, K. S. Thejaswini:
The Strahler number of a parity game. - Xialin Li, Chen Li, Wenwei Zhao:
Foldover Features for Dynamic Object Behavior Description in Microscopic Videos. - Berat Kurar Barakat, Ahmad Droby, Rym Alasam, Boraq Madi, Irina Rabaev, Raed Shammes, Jihad El-Sana:
Unsupervised text line segmentation. - Erwin Quiring, Konrad Rieck:
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks. - Munesh Kumari, Jagmohan Tanti:
A model of public key cryptography using multinacci matrices. - Osamu Shouno:
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames. - Jiajie Tong, Huazi Zhang, Xianbin Wang, Shengchen Dai, Rong Li, Jun Wang:
A Soft Cancellation Decoder for Parity-Check Polar Codes. - Akash Kumar, Arnav Bhavsar:
Detecting Deepfakes with Metric Learning. - Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng:
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. - Sebastian Meiling, Thomas C. Schmidt:
LoRa in the Field: Insights from Networking the Smart City Hamburg with RIOT. - Khanh N. Dang, Akram Ben Ahmed, Abderazek Ben Abdallah, Xuan-Tu Tran:
Report on power, thermal and reliability prediction for 3D Networks-on-Chip. - Raffaele Mosca:
Independent sets in (P4+P4, Triangle)-free graphs. - Xia Zhang, Hao Sun, Xuanzhu Jin, Moses Olabhele Esangbedo:
Existence of an equilibrium for pure exchange economy with fuzzy preferences. - Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant:
Survey of Personalization Techniques for Federated Learning. - Rui Xiang, Rongjie Lai, Hongkai Zhao:
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment. - Eric Goles, Michail-Antisthenis I. Tsompanas, Andrew Adamatzky, Martin Tegelaar, Han A. B. Wosten, Genaro J. Martínez:
Computational universality of fungal sandpile automata. - Saeid Alirezazadeh, Luís A. Alexandre:
Optimal Algorithm Allocation for Single Robot Cloud Systems. - Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz:
Leveraging Frequency Analysis for Deep Fake Image Recognition. - Cesare Bracco, Carlotta Giannelli, David Großmann, Sofia Imperatore, Dominik Mokris, Alessandra Sestini:
THB-spline approximations for turbine blade design with local B-spline approximations. - Alireza Tasdighi, Emmanuel Boutillon:
Integer Ring Sieve (IRS) for Constructing Compact QC-LDPC Codes with Large Girth. - Thierry Deruyttere, Guillem Collell, Marie-Francine Moens:
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding. - Ming Ding, David López-Pérez, Thanos Vasilakos, Wen Chen:
On Dynamic Time Division Duplex Transmissions for Small Cell Networks. - Andrea Martinelli, John Lygeros:
Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator. - Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, Barbara Solenthaler, Nils Thuerey:
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow. - Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang:
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach. - Aleksander Czechowski, Frans A. Oliehoek:
Decentralized MCTS via Learned Teammate Models. - Chengcheng Jia, Bo Wu, Xiao-Ping Zhang:
Dynamic Spatiotemporal Graph Neural Network with Tensor Network. - Selim Ickin, Markus Fiedler, Konstantinos Vandikas:
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning. - Natasa Sarafijanovic-Djukic, Jesse Davis:
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder. - David Ojika, Bhavesh Patel, G. Anthony Reina, Trent Boyer, Chad Martin, Prashant Shah:
Addressing the Memory Bottleneck in AI Model Training. - Genshun Dong, Yan Yan, Chunhua Shen, Hanzi Wang:
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. - Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie:
A Matlab Toolbox for Feature Importance Ranking. - Vijaya Kumar Sundar, Shreyas Ramakrishna, Zahra RahimiNasab, Arvind Easwaran, Abhishek Dubey:
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of β-VAE. - Shuo Jiang, Jianxi Luo, Guillermo Ruiz Pava, Jie Hu, Christopher L. Magee:
A CNN-based Patent Image Retrieval Method for Design Ideation. - Dom Huh, Sai Gurrapu, Frederick Olson, Huzefa Rangwala, Parth H. Pathak, Jana Kosecka:
Generative Multi-Stream Architecture For American Sign Language Recognition. - Thibault Buhet, Émilie Wirbel, Xavier Perrotton:
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving. - Alice Plebe, Mauro Da Lio:
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks. - Carlos Junqueira-Junior, João Luiz F. Azevedo, Jairo Panetta, William R. Wolf, Sami Yamouni:
Strong Scaling of Numerical Solver for Supersonic Jet Flow Configuration. - Laura Rieger, Lars Kai Hansen:
IROF: a low resource evaluation metric for explanation methods. - Yaser Banadaki, Nariman Razaviarab, Hadi Fekrmandi, Safura Sharifi:
Toward Enabling a Reliable Quality Monitoring System for Additive Manufacturing Process using Deep Convolutional Neural Networks. - Joshua J. Levy, Rebecca M. Lebeaux, Anne G. Hoen, Brock C. Christensen, Louis J. Vaickus, Todd A. MacKenzie:
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails. - Ines Rieger, Jaspar Pahl, Dominik Seuss:
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection. - Mengxiao Hu, Jinlong Li, Maolin Hu, Tao Hu:
Hierarchical Modes Exploring in Generative Adversarial Networks. - Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Huzefa Rangwala, Jana Kosecka:
FineHand: Learning Hand Shapes for American Sign Language Recognition. - Naman Bansal, Chirag Agarwal, Anh Nguyen:
SAM: The Sensitivity of Attribution Methods to Hyperparameters. - Francesco Bardozzo, Borja de la Osa, Lubomíra Horanská, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernández, Humberto Bustince:
Adaptive binarization based on fuzzy integrals. - Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. - Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. - Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt:
A Compact Spectral Descriptor for Shape Deformations. - Marie Alaghband, Niloofar Yousefi, Ivan Garibay:
FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset. - Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman:
A Question-Centric Model for Visual Question Answering in Medical Imaging. - Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo:
Exemplar Normalization for Learning Deep Representation. - David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z. Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, Alexander M. Bronstein, Michael M. Bronstein, S. Bu, Umberto Castellani, S. Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, Long Lai, Bo Li, Chunyuan Li, Haisheng Li, Roee Litman, X. Liu, Z. Liu, Yijuan Lu, Li Sun, Gary K. L. Tam, Atsushi Tatsuma, Jianbo Ye:
Shape retrieval of non-rigid 3d human models. - Shanmeng Sun, Wei Zhen Teoh, Michael Guerzhoy:
Salient Facial Features from Humans and Deep Neural Networks. - Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell:
Dense Crowds Detection and Surveillance with Drones using Density Maps. - Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker:
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. - Nitish Nag, Bindu Rajanna, Ramesh C. Jain:
Personalized Taste and Cuisine Preference Modeling via Images. - Chenhan Jiang, Shaoju Wang, Hang Xu, Xiaodan Liang, Nong Xiao:
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection. - Tim S. Oosterhuis, Lambert Schomaker:
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features. - Eddie Yan, Yanping Huang:
Do CNNs Encode Data Augmentations? - Agnieszka Grabska-Barwinska:
Measuring and improving the quality of visual explanations. - Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian:
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. - Yu Chen, Xuanhan Liang, Xiaofeng Tao:
A New Phase-Type Distribution to Break Kleinrock's Independence Assumption. - Paul Cohen, Tomasz Loboda:
Redistribution Systems and PRAM. - Robin Delabays, Laurent Pagnier, Melvyn Tyloo:
Detecting and Locating Disturbances in High Voltage Electrical Networks. - Debayan Deb, Divyansh Aggarwal, Anil K. Jain:
Child Face Age-Progression via Deep Feature Aging. - Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Alexey Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin:
High-Resolution Daytime Translation Without Domain Labels. - Zhenshen Qu, Jingda Du, Yong Cao, Qiuyu Guan, Pengbo Zhao:
Deep Active Learning for Remote Sensing Object Detection. - Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Teacher-Student chain for efficient semi-supervised histology image classification. - K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. - Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao:
Pedestrian Detection: The Elephant In The Room. - Fang Zhu, Qian Zhang, Hao Chen, Guocheng Shi, Chen Wen, Zhongqun Zhu, Huiwen Chen:
Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol. - Christoph Stoeffler, Shivesh Kumar, Andreas Müller:
A comparative study on 2-DOF variable stiffness mechanisms. - Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction. - Anabia Sohail, Muhammad Ahsan Mukhtar, Asifullah Khan, Muhammad Mohsin Zafar, Aneela Zameer, Saranjam Khan:
Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images. - Masoud Ahmadi:
A Hybrid Phase Field Model for Fracture Induced by Lithium Diffusion in Electrode Particles of Li-ion Batteries. - Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich:
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality. - Mohammad Hamed Mozaffari, Won-Sook Lee:
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours. - Vani Kanjirangat, Simone Mellace, Alessandro Antonucci:
Temporal Embeddings and Transformer Models for Narrative Text Understanding. - Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. - Sándor P. Fekete, Linda Kleist, Dominik Krupke:
Minimum Scan Cover with Angular Transition Costs. - Stanislav Katina, Liberty Vittert, Adrian W. Bowman:
Functional Data Analysis and Visualisation of Three-dimensional Surface Shape. - Mengjiao Hu, Kang Sim, Juan Helen Zhou, Xudong Jiang, Cuntai Guan:
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls. - Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva:
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index. - Luke Nicholas Darlow, Amos J. Storkey:
DHOG: Deep Hierarchical Object Grouping. - Xin Sun, Zhenning Yang, Chi Zhang, Guohao Peng, Keck Voon Ling:
Conditional Gaussian Distribution Learning for Open Set Recognition. - Suat Gumussoy:
Relative Stability Analysis of Closed-Loop SISO Dead-Time Systems: non-imaginary axis case. - Hendrik Ranocha, Lisandro Dalcín, Matteo Parsani:
Fully-Discrete Explicit Locally Entropy-Stable Schemes for the Compressible Euler and Navier-Stokes Equations. - Zhiwen Shao, Zhilei Liu, Jianfei Cai, Lizhuang Ma:
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention. - Massimo Stella:
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media. - Christian Berghoff, Matthias Neu, Arndt von Twickel:
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence. - Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson:
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent. - Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner:
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. - Qiuhao Hu, Mohammad Reza Amini, Hao Wang, Ilya V. Kolmanovsky, Jing Sun:
Integrated Power and Thermal Management of Connected HEVs via Multi-Horizon MPC. - Mohammad Reza Jafari Harandi, S. A. Khalilpour, Hamid D. Taghirad, José Guadalupe Romero:
Adaptive motion control of parallel robots with kinematic and dynamic uncertainties. - Chuhan Gao, Varun Chandrasekaran, Kassem Fawaz, Somesh Jha:
Face-Off: Adversarial Face Obfuscation. - Yuan Gao, Robert Bregovic, Reinhard Koch, Atanas P. Gotchev:
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction. - Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. - Juan Vicente Gutiérrez-Santacreu, José Rafael Rodríguez-Galván:
Analysis of a fully discrete approximation for the classical Keller-Segel model: lower and \emph{a priori} bounds. - Liad Pollak Zuckerman, Shai Bagon, Eyal Naor, George Pisha, Michal Irani:
Across Scales \& Across Dimensions: Temporal Super-Resolution using Deep Internal Learning. - Ehsan Taher, Seyed Abbas Hoseini, Mehrnoush Shamsfard:
Beheshti-NER: Persian Named Entity Recognition Using BERT. - Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt:
Learning to Fly via Deep Model-Based Reinforcement Learning. - Paolo Baldan, Barbara König, Tommaso Padoan:
Abstraction, Up-to Techniques and Games for Systems of Fixpoint Equations. - Dor Verbin, Steven J. Gortler, Todd E. Zickler:
Unique Geometry and Texture from Corresponding Image Patches. - Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Local Rotation Invariance in 3D CNNs. - Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu:
Normalized and Geometry-Aware Self-Attention Network for Image Captioning. - Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li:
RAB: Provable Robustness Against Backdoor Attacks. - Brandon Carter, Siddhartha Jain, Jonas Mueller, David K. Gifford:
Overinterpretation reveals image classification model pathologies. - Alessandro Abate, Daniele Ahmed, Mirco Giacobbe, Andrea Peruffo:
Automated Formal Synthesis of Lyapunov Neural Networks. - Olivier Nicole, Matthieu Lemerre, Sébastien Bardin, Xavier Rival:
Automatically Proving Microkernels Free from Privilege Escalation from their Executable. - Thorben Tröbst, Vijay V. Vazirani:
A Real Polynomial for Bipartite Graph Minimum Weight Perfect Matchings. - Anoop Kunchukuttan, Pushpak Bhattacharyya:
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent. - Yang P. Liu, Aaron Sidford:
Faster Divergence Maximization for Faster Maximum Flow. - Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich:
Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo. - Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng:
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. - Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. - Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. - Amin Ghiasi, Ali Shafahi, Tom Goldstein:
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates. - Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. - Christine Bauer, Katharina Sophie Schmid, Christine Strauss:
An Open Model for Researching the Role of Culture in Online Self-Disclosure. - Yuya Obinata, Takuma Yamamoto:
Temporal Extension Module for Skeleton-Based Action Recognition. - Matthew Stevenson, Christophe Mues, Cristián Bravo:
The value of text for small business default prediction: A deep learning approach. - Alex Dytso, Michael Fauss, H. Vincent Poor:
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. - Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic:
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. - Reuben Feinman, Brenden M. Lake:
Generating new concepts with hybrid neuro-symbolic models. - Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. - Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. - Kovila P. L. Coopamootoo:
Dis-Empowerment Online: An Investigation of Privacy-Sharing Perceptions & Method Preferences. - Luis A. Pérez Rey:
Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders. - Bernhard Endtmayer, Ulrich Langer, Thomas Wick:
Reliability and efficiency of DWR-type a posteriori error estimates with smart sensitivity weight recovering. - Simon Odense, Artur S. d'Avila Garcez:
Layerwise Knowledge Extraction from Deep Convolutional Networks. - Sohrab Hossain, Dhiman Sarma, Rana Jyoti Chakma, Wahidul Alam, Mohammed Moshiul Hoque, Iqbal H. Sarker:
A Rule Based Expert System to Assess Coronary Artery Disease under Uncertainty. - Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. - Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation with Cross-Consistency Training. - Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k queries over digital traces. - Toufiq Parag, Hongcheng Wang:
Multilayer Dense Connections for Hierarchical Concept Classification. - Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. - Saif Mahmud, M. Tanjid Hasan Tonmoy, Kishor Kumar Bhaumik, A K M Mahbubur Rahman, M. Ashraful Amin, Mohammad Shoyaib, Muhammad Asif Hossain Khan, Amin Ahsan Ali:
Human Activity Recognition from Wearable Sensor Data Using Self-Attention. - Maximilian H. Bremer, John Bachan, Cy P. Chan, Clint Dawson:
Adaptive Total Variation Stable Local Timestepping for Conservation Laws. - John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. - Nikolay Malkovsky, Vladimir Bataev, Dmitrii Sviridkin, Natalia Kizhaeva, Aleksandr Laptev, Ildar V. Valiev, Oleg Petrov:
Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems. - Manuel Bernal, Javier Civera:
LoCoQuad: A Low-Cost Arachnoid Quadruped Robot for Research and Education. - Nasrin Taghizadeh, Zeinab Borhanifard, Melika GolestaniPour, Heshaam Faili:
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi. - Fangzhou Yu, Chao Zhang:
Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes. - Kensen Shi, David Bieber, Rishabh Singh:
TF-Coder: Program Synthesis for Tensor Manipulations. - Chelsey Edge, Sadman Sakib Enan, Michael Fulton, Jungseok Hong, Jiawei Mo, Kimberly Barthelemy, Hunter Bashaw, Berik Kallevig, Corey Knutson, Kevin Orpen, Junaed Sattar:
Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous Underwater Vehicle. - Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg:
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. - Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. - Dmitry Petrov, Evangelos Kalogerakis:
Cross-Shape Graph Convolutional Networks. - Jakub Nikonowicz, Aamir Mahmood, Mikael Gidlund:
A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals. - Yilin Yang, Chen Wang, Yingying Chen, Yan Wang:
EchoLock: Towards Low Effort Mobile User Identification. - Zehan Chao, Longxiu Huang, Deanna Needell:
Tensor Completion through Total Variationwith Initialization from Weighted HOSVD. - Jérôme Droniou, Robert Eymard:
Uniform-in-time convergence of numerical methods for non-linear degenerate parabolic equations. - Ed T. Upchurch:
A Migratory Near Memory Processing Architecture Applied to Big Data Problems. - Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun:
Inverse Problems, Deep Learning, and Symmetry Breaking. - Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert E. Mahony:
How to Train Your Event Camera Neural Network. - Huu Le, Christopher Zach:
A Graduated Filter Method for Large Scale Robust Estimation. - Chen Wang, Cong Shi, Yingying Chen, Yan Wang, Nitesh Saxena:
WearID: Wearable-Assisted Low-Effort Authentication to Voice Assistants using Cross-Domain Speech Similarity. - Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. - Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. - Minjee Kim, Joonmyeong Choi, Namkug Kim:
Fully Automated Hand Hygiene Monitoring\\in Operating Room using 3D Convolutional Neural Network. - Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. - Hongyang Du, Jiayi Zhang, Julian Cheng, Zhaohu Lu, Bo Ai:
Millimeter Wave Communications With Reconfigurable Intelligent Surface: Performance Analysis and Optimization. - Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Zhangyang Xiong, Qi Hong, Hao Wu, Peng Yi, Kui Jiang, Nanxi Wang, Yingjiao Pei, Heling Chen, Yu Miao, Zhibing Huang, Jinbi Liang:
Masked Face Recognition Dataset and Application. - Yunlong Zhu, Zuling Chang, Martianus Frederic Ezerman, Qiang Wang:
An Efficiently Generated Family of Binary de Bruijn Sequences. - Chen Wang, Zhenzhe Lin, Yucheng Xie, Xiaonan Guo, Yanzhi Ren, Yingying Chen:
WiEat: Fine-grained Device-free Eating Monitoring Leveraging Wi-Fi Signals. - Christopher L. Asplund, Takashi Obana, Parag Bhatnagar, Xun Quan Koh, Simon T. Perrault:
It's All in the Timing: Principles of Transient Distraction Illustrated with Vibrotactile Tasks. - Kai-Hung Chang, Chin-Yi Cheng:
Learning to simulate and design for structural engineering. - Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. - Sicheng Wang, Ruotong Zhang, David A. Haggerty, Nicholas D. Naclerio, Elliot W. Hawkes:
A Dexterous Tip-extending Robot with Variable-length Shape-locking. - German Ignacio Parisi, Vincenzo Lomonaco:
Online Continual Learning on Sequences. - Xinyu Zhang, Yang Zhao, Hao Zhang:
Dual-discriminator GAN: A GAN way of profile face recognition. - Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian:
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection. - Xin Sun, Piotr Kulicki, Mirek Sopek:
Multi-party Quantum Byzantine Agreement Without Entanglement. - Manuela Weigold, Johanna Barzen, Uwe Breitenbücher, Michael Falkenthal, Frank Leymann, Karoline Wild:
Pattern Views: Concept and Tooling for Interconnected Pattern Languages. - Silvano Dal-Zilio:
MCC: a Tool for Unfolding Colored Petri Nets in PNML Format. - David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima:
Automatic Identification of Types of Alterations in Historical Manuscripts. - Lasse Blaauwbroek, Josef Urban, Herman Geuvers:
Tactic Learning and Proving for the Coq Proof Assistant. - Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza:
Event-based Asynchronous Sparse Convolutional Networks. - Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina:
Unsupervised Latent Space Translation Network. - Fan Zhang, Guisheng Zhai, Meng Li, Yizhao Liu:
Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net). - Honggyu Jung, Seong-Whan Lee:
Few-Shot Learning with Geometric Constraints. - Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei:
Exploring Categorical Regularization for Domain Adaptive Object Detection. - Egor Ianovski, Aleksei Y. Kondratev:
Computing the proportional veto core. - Shaik Tanveer Ul Huq, Vadlamani Ravi:
Evolutionary Multi-Objective Optimization Framework for Mining Association Rules. - Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun:
Detection in Crowded Scenes: One Proposal, Multiple Predictions. - Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based Neural Tagger for Keyword Identification. - Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Privileged Pooling: Supervised attention-based pooling for compensating dataset bias. - Evgeny Stemasov, Tobias Wagner, Jan Gugenheimer, Enrico Rukzio:
Mix&Match: Towards Omitting Modelling Through In-Situ Alteration and Remixing of Model Repository Artifacts in Mixed Reality. - Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. - Rui Xiang, Feng Zheng, Huapeng Su, Zhe Zhang:
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image. - Khadija Musayeva:
Sample Complexity Result for Multi-category Classifiers of Bounded Variation. - Morten Hannemose, Jakob Wilm, Jeppe Revall Frisvad:
Superaccurate Camera Calibration via Inverse Rendering. - Wenming Tang, Yuanhao Gong, Kanglin Liu, Jun Liu, Wei Pan, Bozhi Liu, Guoping Qiu:
Gaussian Curvature Filter on 3D Mesh. - Ioanna Mitsioni, Yiannis Karayiannidis, Danica Kragic:
Modelling and Learning Dynamics for Robotic Food-Cutting. - Mai Nishimura, Ryo Yonetani:
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. - Anmol Bhasin, Bharatram S. Natarajan, Gaurav Mathur, Himanshu Mangla:
Parallel Intent and Slot Prediction using MLB Fusion. - Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Yasumasa Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. - Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
Learning to Encode Position for Transformer with Continuous Dynamical Model. - Siwei Lyu:
DeepFake Detection: Current Challenges and Next Steps. - Nida Khan, Tabrez Ahmad, Anass Patel, Radu State:
Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium. - Youming Qin, Yihang Li, Wei Xu, Fu Zhang:
Hybrid aerial ground locomotion with a single passive wheel. - Anna Björk Nikulásdóttir, Jón Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eiríkur Rögnvaldsson, Einar Freyr Sigurðsson, Steinþór Steingrímsson:
Language Technology Programme for Icelandic 2019-2023. - Ulrich Langer, Andreas Schafelner:
Adaptive space-time finite element methods for non-autonomous parabolic problems with distributional sources. - Tan Phan-Xuan, Tho Nguyen Duc, Chanh Minh Tran, Eiji Kamioka:
Continuous QoE Prediction Based on WaveNet. - Marcella Bonazzoli, Xavier Claeys, Frédéric Nataf, Pierre-Henri Tournier:
Analysis of the SORAS domain decomposition preconditioner for non-self-adjoint or indefinite problems. - Suat Gumussoy, Wim Michiels:
Fixed-order H-infinity control for interconnected systems using delay differential algebraic equations. - Suat Gumussoy, Wim Michiels:
Root Locus for SISO Dead-Time Systems: A Continuation Based Approach. - Rahif Kassab, Andrea Munari, Federico Clazzer, Osvaldo Simeone:
Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services. - Zhongxiao Jia:
The Krylov Subspaces, Low Rank Approximations and Ritz Values of LSQR for Linear Discrete Ill-Posed Problems: the Multiple Singular Value Case. - Oscar Delgado-Mohatar, Julian Fiérrez, Ruben Tolosana, Rubén Vera-Rodríguez:
Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends. - Man-Kwun Chiu, Aruni Choudhary, Wolfgang Mulzer:
Computational Complexity of the α-Ham-Sandwich Problem. - Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Barrier Functions for Multiagent-POMDPs with DTL Specifications. - Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Paul Monticciolo:
GraphChallenge.org Triangle Counting Performance. - Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou:
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering. - Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi:
Deep Reinforcement Learning with Weighted Q-Learning. - Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz:
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos:
On the performance of different excitation-residual blocks for Acoustic Scene Classification. - Zehao Wang, Shicheng Zhang, Xiaoou Chen:
Exploring Inherent Properties of the Monophonic Melody of Songs. - Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. - Rafael Teixeira Sousa, Lucas A. Pereira, Anderson da Silva Soares:
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time. - Dan Alistarh, Giorgi Nadiradze, Amirmojtaba Sabour:
Dynamic Averaging Load Balancing on Cycles. - Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen Hoang Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong:
Distributed and Democratized Learning: Philosophy and Research Challenges. - Çaglar Seylan, Özgür Saygin Bican, Fatih Semiz:
İnsansız Araçlarla Düzlemsel Olmayan Araçların Taranması. - Anirban Chatterjee, Subhadip Paul, Uddipto Dutta, Smaranya Dey:
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting. - Nitish Nag:
Health State Estimation. - Zahra Rezai Farokh, Maryam Tahmasbi, Zahra Haj Rajab Ali Tehrani, Yousof Buali:
New heuristics for burning graphs. - Zheng Xie:
Predicting the number of coauthors for researchers: A learning model. - Ning Xie, Ji Hu, Junjie Chen, Qiqi Zhang, Changsheng Chen:
Detection of Information Hiding at Anti-Copying 2D Barcodes. - Ana Carpio, Sergei Iakunin, Georg Stadler:
Bayesian approach to inverse scattering with topological priors. - Sohrab Hossain, Ahmed Abtahee, Imran Kashem, Mohammed Moshiul Hoque, Iqbal H. Sarker:
Crime Prediction Using Spatio-Temporal Data. - Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis Wyffels:
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot. - Jérémy Frey, Gilad Ostrin, May Grabli, Jessica R. Cauchard:
Physiologically Driven Storytelling: Concept and Software Tool. - Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Universal Representation for Few-shot Classification. - Joan Thibault, Khalil Ghorbal:
Ordered Functional Decision Diagrams. - Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner:
Improving Adversarial Robustness Through Progressive Hardening. - Varun Tolani, Somil Bansal, Aleksandra Faust, Claire J. Tomlin:
Visual Navigation Among Humans with Optimal Control as a Supervisor. - Advait Madhavan, Mark D. Stiles:
Storing and retrieving wavefronts with resistive temporal memory. - Giannis Delimpaltadakis, Manuel Mazo Jr.:
Traffic Abstractions of Nonlinear Homogeneous Event-Triggered Control Systems. - John C. Urschel:
Uniform Error Estimates for the Lanczos Method. - Dan Alistarh, Nikita Koval, Giorgi Nadiradze:
Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers. - Diana Geneva, Georgi Shopov, Stoyan Mihov:
Composition and Weight Pushing of Monotonic Subsequential Failure Transducers Representing Probabilistic Models. - Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. - HeeJong Park, Arvind Easwaran, Sidharta Andalam:
TiLA: Twin-in-the-Loop Architecture for Cyber-Physical Production Systems. - Wenda Zhao, Abhishek Goudar, Jacopo Panerati, Angela P. Schoellig:
Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots. - Anshuman Suri, David Evans:
One Neuron to Fool Them All. - Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. - Subrata Nandi, Srinivasan Krishnaswamy, Behrouz Zolfaghari, Pinaki Mitra:
{The application of σ-LFSR in Key-Dependent Feedback Configuration for Word-Oriented Stream Ciphers. - Lei Tian, Yongqiang Tang, Liangchen Hu, Zhida Ren, Wensheng Zhang:
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning. - Yansong Tang, Jiwen Lu, Jie Zhou:
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation. - Nicolas Behr, Jean Krivine:
Rewriting Theory for the Life Sciences: A Unifying Theory of CTMC Semantics. - Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker:
Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. - Oscar Lima, Michael Cashmore, Daniele Magazzeni, Andrea Micheli, Rodrigo Ventura:
Robust Plan Execution with Unexpected Observations. - Tony Lelièvre, Gabriel Stoltz, Wei Zhang:
Multiple projection MCMC algorithms on submanifolds. - Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos:
Explainable Object-induced Action Decision for Autonomous Vehicles. - Leslie S. Smith:
Comments on Sejnowski's "The unreasonable effectiveness of deep learning in artificial intelligence" [arXiv: 2002.04806]. - Moritz Schubotz, André Greiner-Petter, Norman Meuschke, Olaf Teschke, Bela Gipp:
Mathematical Formulae in Wikimedia Projects 2020. - Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente:
Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. - Mücahid Barstugan, Umut Ozkaya, Saban Öztürk:
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods. - Qiuhao Hu, Mohammad Reza Amini, Yiheng Feng, Zhen Yang, Hao Wang, Ilya V. Kolmanovsky, Jing Sun, Ashley Wiese, Zeng Qiu, Julia Buckland Seeds:
Engine and Aftertreatment Co-Optimization of Connected HEVs via Multi-Range Vehicle Speed Planning and Prediction. - Tariq M. Bdair, Nassir Navab, Shadi Albarqouni:
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. - Tristan Karch, Cédric Colas, Laetitia Teodorescu, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Deep Sets for Generalization in RL. - Nancy Nayak, Thulasi Tholeti, Muralikrishnan Srinivasan, Sheetal Kalyani:
What is the optimal depth for deep-unfolding architectures at deployment? - Filippo Bonchi, Jens Seeber, Pawel Sobocinski:
Cartesian bicategories with choice. - Katrin Mang, Mirjam Walloth, Thomas Wick, Winnifried Wollner:
Adaptive Numerical Simulation of a Phase-field Fracture Model in Mixed Form tested on an L-shaped Specimen with High Poisson Ratios. - Maximilian Augustin, Alexander Meinke, Matthias Hein:
Adversarial Robustness on In- and Out-Distribution Improves Explainability. - Qiaomei Li, Rachel Cummings, Yonatan Mintz:
Locally Interpretable Predictions of Parkinson's Disease Progression. - Roland Herzog:
Dimensionally Consistent Preconditioning for Saddle-Point Problems. - Simeon Krastnikov, Florian Kerschbaum, Douglas Stebila:
Efficient Oblivious Database Joins. - Jie Luo, Guangshen Ma, Sarah F. Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra J. Golby, Patrick J. Codd, Masashi Sugiyama, William M. Wells III:
Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation? - Kamil Skarzynski, Marcin Stepniak, Waldemar Bartyna, Stanislaw Ambroszkiewicz:
A generic ontology and recovery protocols for Human-Robot Collaboration (HRC) systems. - Zhaoshuo Li, Amirreza Shaban, Jean-Gabriel Simard, Dinesh Rabindran, Simon Peter DiMaio, Omid Mohareri:
A Robotic 3D Perception System for Operating Room Environment Awareness. - Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang:
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. - Zeliang Liu, Haoyan Wei, Tianyu Huang, Chengtang Wu:
Intelligent multiscale simulation based on process-guided composite database. - Mojtaba Noghabaei, Kevin K. Han:
Hazard recognition in an immersive virtual environment: Framework for the simultaneous analysis of visual search and EEG patterns. - Omar Reyad:
Novel Coronavirus COVID-19 Strike on Arab Countries and Territories: A Situation Report I. - Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand:
Event-Based Control for Online Training of Neural Networks. - Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ellipsoidal Subspace Support Vector Data Description. - Yingying Li, Qinran Hu, Na Li:
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response. - Stefan Borgwardt, Veronika Thost:
Temporal Conjunctive Query Answering in the Extended DL-Lite Family. - Alessandro Bazzi, Alberto Zanella, Ioannis Sarris, Vincent Martinez:
Co-channel Coexistence: Let ITS-G5 and Sidelink C-V2X Make Peace. - Mike Allenspach, Karen Bodie, Maximilian Brunner, Luca Rinsoz, Zachary Taylor, Mina Kamel, Roland Siegwart, Juan I. Nieto:
Design and optimal control of a tiltrotor micro aerial vehicle for efficient omnidirectional flight. - Tony C. W. Mok, Albert C. S. Chung:
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. - Karen Bodie, Maximilian Brunner, Michael Pantic, Stefan Walser, Patrick Pfändler, Ueli Angst, Roland Siegwart, Juan I. Nieto:
Active Interaction Force Control for Omnidirectional Aerial Contact-Based Inspection. - Maxim Naumov, John Kim, Dheevatsa Mudigere, Srinivas Sridharan, Xiaodong Wang, Whitney Zhao, Serhat Yilmaz, Changkyu Kim, Hector Yuen, Mustafa Ozdal, Krishnakumar Nair, Isabel Gao, Bor-Yiing Su, Jiyan Yang, Mikhail Smelyanskiy:
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems. - Elisa Gugliotta, Marco Dinarelli:
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus. - Kristian Snyder, Thomas Brennan, Ming-Lun Lu, Rashmi Jha, Menekse S. Barim, Marie Hayden, Dwight Werren:
A deep learning approach for lower back-pain risk prediction during manual lifting. - Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Ümit Y. Ogras:
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms. - Zhongxia Zhang, Meng Wu:
Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach. - Thibault Duhamel, Mariane Maynard, Froduald Kabanza:
Imagination-Augmented Deep Learning for Goal Recognition. - Jonathan J. Harris, Ching-Hua Chen, Mohammed J. Zaki:
A Framework for Generating Explanations from Temporal Personal Health Data. - Talley Amir, James Aspnes, David Doty, Mahsa Eftekhari H., Eric E. Severson:
Message complexity of population protocols. - Boris Aronov, Esther Ezra, Micha Sharir:
Testing Polynomials for Vanishing on Cartesian Products of Planar Point Sets. - Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao:
Deep Reinforcement Learning with Smooth Policy. - Shi Li, Sai Vikneshwar Mani Jayaraman, Atri Rudra:
Covering the Relational Join. - Anna Fariha, Suman Nath, Alexandra Meliou:
Causality-Guided Adaptive Interventional Debugging. - Guohui Ding, Joewie J. Koh, Kelly Merckaert, Bram Vanderborght, Marco M. Nicotra, Christoffer Heckman, Alessandro Roncone, Lijun Chen:
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. - Antonis Kontaxakis, Nikos Giatrakos, Antonios Deligiannakis:
A Synopses Data Engine for Interactive Extreme-Scale Analytics. - Seyed Mohssen Ghafari:
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks. - Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal:
A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing. - Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. - Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos:
Black-box Methods for Restoring Monotonicity. - Koteswar Rao Jerripothula:
Appearance Fusion of Multiple Cues for Video Co-localization. - Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie:
Variation across Scales: Measurement Fidelity under Twitter Data Sampling. - Sijia Geng, Yuekang Li, Yunlan Du, Jun Xu, Yang Liu, Bing Mao:
An Empirical Study on Benchmarks of Artificial Software Vulnerabilities. - Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu:
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data. - Xing Shen, Xiaoliang Cheng, Kewei Liang:
Deep Euler method: solving ODEs by approximating the local truncation error of the Euler method. - Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. - Tai Vu, Leon Tran:
FlapAI Bird: Training an Agent to Play Flappy Bird Using Reinforcement Learning Techniques. - Tao Guo, Xikang Jiang, Bin Xiang, Lin Zhang:
Edge-assisted Viewport Adaptive Scheme for real-time Omnidirectional Video transmission. - Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten:
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. - Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Analyzing Word Translation of Transformer Layers. - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. - Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. - Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang:
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. - Rahul Singh, P. R. Kumar:
Learning in Networked Control Systems. - Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
A level set representation method for N-dimensional convex shape and applications. - Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li:
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. - Irina Krotova, Sergey Aksenov, Ekaterina Artemova:
A Joint Approach to Compound Splitting and Idiomatic Compound Detection. - Dingcheng Yang, Wenjian Yu, Ao Zhou, Haoyuan Mu, Gary Yao, Xiaoyi Wang:
DP-Net: Dynamic Programming Guided Deep Neural Network Compression. - Khanh N. Dang, Yuichi Okuyama, Abderazek Ben Abdallah:
Soft-Error and Hard-fault Tolerant Architecture and Routing Algorithm for Reliable 3D-NoC Systems. - Khanh N. Dang, Michael Conrad Meyer, Yuichi Okuyama, Abderazek Ben Abdallah:
Reliability Assessment and Quantitative Evaluation of Soft-Error Resilient 3D Network-on-Chip Systems. - Simon Telen, Sascha Timme, Marc Van Barel:
Backward Error Measures for Roots of Polynomials. - Davide Rocchesso, Maria Mannone:
A Quantum Vocal Theory of Sound. - Eleonora Piersanti, Marie E. Rognes, Kent-André Mardal:
Parameter robust preconditioning for multi-compartmental Darcy equations. - Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng:
A Flexible Framework for Large Graph Learning. - Eleonora Piersanti, Jeonghun J. Lee, Travis B. Thompson, Kent-André Mardal, Marie E. Rognes:
Parameter robust preconditioning by congruence for multiple-network poroelasticity. - Michael A. Bekos, Mirco Haug, Michael Kaufmann, Julia Männecke:
An Online Framework to Interact and Efficiently Compute Linear Layouts of Graphs. - Eduardo C. Garrido-Merchán, Luis C. Jariego Pérez:
Towards Automatic Bayesian Optimization: A first step involving acquisition functions. - Peiyuan Ni, Wenguang Zhang, Xiaoxiao Zhu, Qixin Cao:
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds. - Samuel Gomes, Tomás Alves, João Dias, Carlos Martinho:
Reward-Mediated Individual and Altruistic Behavior. - Tianwei Xia, Zhe Yu, Kai Sun, Di Shi, Zhiwei Wang:
Extended Prony Analysis on Power System Oscillation Under a Near-Resonance Condition. - Yang Hao, Wenbiao Ding, Zitao Liu:
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels. - Xinyang Deng:
Basic concepts, definitions, and methods in D number theory. - Cristian Tatino, Nikolaos Pappas, Di Yuan:
Multi-Robot Association-Path Planning in Millimeter-Wave Industrial Scenarios. - Eugene Goldberg:
Partial Quantifier Elimination By Certificate Clauses. - Quan Zhou, Dechun Cong, Bin Kang, Xiaofu Wu, Baoyu Zheng, Huimin Lu, Longin Jan Latecki:
BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation. - Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu:
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. - Bernhard C. Geiger:
On Information Plane Analyses of Neural Network Classifiers - A Review. - Nirupam Gupta, Nitin H. Vaidya:
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions. - Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik:
Probabilistic Dual Network Architecture Search on Graphs. - Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Geometrically Mappable Image Features. - Yulong Fan, Rong Chen, Bo Li:
Multi-Task Learning Enhanced Single Image De-Raining. - Victoria Fernández Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer:
Cross-modal Deep Face Normals with Deactivable Skip Connections. - Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
POD-Galerkin Model Order Reduction for Parametrized Nonlinear Time Dependent Optimal Flow Control: an Application to Shallow Water Equations. - Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. - Mario Alviano, Marco Manna:
Large-scale Ontological Reasoning via Datalog. - Kun Xiao, Shaochang Tan, Guohui Wang, Xueyan An, Xiang Wang, Xiangke Wang:
XTDrone: A Customizable Multi-Rotor UAVs Simulation Platform. - Dong Liu, Jianyu Zhao, Chenyang Yang, Lajos Hanzo:
Accelerating Deep Reinforcement Learning With the Aid of a Partial Model: Power-Efficient Predictive Video Streaming. - Masoud Farhadi, Mehdi Abapour, Behnam Mohammadi-Ivatloo:
Reliability Analysis of Component Level Redundant Topologies for solid state Fault Current Limiter. - Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection in Neural Networks. - Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. - Yang Feng, Yu Wang, Jiebo Luo:
Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks. - Seungmo Kim, Byung Jun Kim:
Prioritization of Basic Safety Message in DSRC Based on Distance to Danger. - Gary P. T. Choi, Chris H. Rycroft:
Volumetric density-equalizing reference map with applications. - João R. Cardoso, Amir Sadeghi:
A Preconditioning Technique for Computing Functions of Triangular Matrices. - Jeremy N. Wong, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot:
Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation. - Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang:
BoostTree and BoostForest for Ensemble Learning. - Philipp Brune:
Towards an Enterprise-Ready Implementation of Artificial Intelligence-Enabled, Blockchain-Based Smart Contracts. - Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer:
Adaptive Informative Path Planning with Multimodal Sensing. - Craig Gross, Mark A. Iwen, Lutz Kämmerer, Toni Volkmer:
A Deterministic Algorithm for Constructing Multiple Rank-1 Lattices of Near-Optimal Size. - Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. - Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger:
ARDA: Automatic Relational Data Augmentation for Machine Learning. - Minghan Zhu, Maani Ghaffari Jadidi, Yuanxin Zhong, Pingping Lu, Zhong Cao, Ryan M. Eustice, Huei Peng:
Monocular Depth Prediction Through Continuous 3D Loss. - Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman:
Lifespan Age Transformation Synthesis. - Leonidas Fegaras, Md Hasanuzzaman Noor:
Translation of Array-Based Loops to Distributed Data-Parallel Programs. - Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. - Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu:
HDF: Hybrid Deep Features for Scene Image Representation. - Amirreza Farnoosh, Behnaz Rezaei, Eli Zachary Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent, Sarah Ostadabbas:
Deep Markov Spatio-Temporal Factorization. - Je Hong Yoo, Reza Langari:
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes. - Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu:
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. - Je Hong Yoo, Reza Langari:
A Stackelberg Game Theoretic Model of Lane-Merging. - Hadi Mansourifar, Weidong Shi:
Deep Synthetic Minority Over-Sampling Technique. - Takeru Matsuda, Yuto Miyatake:
Generalization of partitioned Runge-Kutta methods for adjoint systems. - Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai:
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection. - (Withdrawn) P ≠ NP.
- John Pasquesi, Flavio Esposito, Gianluca Davoli, Jenna L. Gorlewicz:
Exploring Vibration-Defined Networking. - Yanjun Han, Zhengyuan Zhou, Tsachy Weissman:
Optimal No-regret Learning in Repeated First-price Auctions. - Jiamiao Xu, Fangzhao Wang, Qinmu Peng, Xinge You, Shuo Wang, Xiao-Yuan Jing, C. L. Philip Chen:
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning. - Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen:
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology. - William McLean:
Implementation of high-order, discontinuous Galerkin time stepping for fractional diffusion problems. - Rooji Jinan, Parimal Parag, Himanshu Tyagi:
Tracking an Auto-Regressive Process with Limited Communication per Unit Time. - Da Li, Keran Li, Wenyuan Liao:
Efficient and Stable Finite Difference Modelling of Acoustic Wave Propagation in Variable-density Media. - Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li:
A Time-domain Monaural Speech Enhancement with Recursive Learning. - Naoto Ohsaka:
The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches. - Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay:
Rig-space Neural Rendering. - Zan Shen, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels. - Jiawang Nie, Ke Ye, Lihong Zhi:
Symmetric Tensor Decompositions On Varieties. - Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting. - Benjamin Sliwa, Manuel Patchou, Karsten Heimann, Christian Wietfeld:
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim. - Su Zhu, Zijian Zhao, Rao Ma, Kai Yu:
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding. - Xiaoya Li, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li:
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection. - Kwangrae Kim, Minho Kim, Suwon Kang, Jungwook Yu, Jungsoo Kim, Huiyong Chun, Soohee Han:
A New Update Rule of RLSEKF-based Joint-estimation Filters for Real-time SOH SOC Identification. - Thulasi Tholeti, Sheetal Kalyani:
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets. - Khanh N. Dang, Abderazek Ben Abdallah:
An Efficient Software-Hardware Design Framework for Spiking Neural Network Systems. - Lior Yariv, Matan Atzmon, Yaron Lipman:
Universal Differentiable Renderer for Implicit Neural Representations. - Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo:
Visual Question Answering for Cultural Heritage. - Xinyu Liu, Xiaoguang Di:
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks. - Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma:
Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction. - Xinxun Xu, Cheng Deng, Muli Yang, Hao Wang:
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval. - Emilio Tanowe Maddalena, Colin Neil Jones:
NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates. - Ali Bou Nassif, Manar AbuTalib, Luiz Fernando Capretz:
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. - Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling:
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing. - Zachary Remscrim:
Lower Bounds on the Running Time of Two-Way Quantum Finite Automata and Sublogarithmic-Space Quantum Turing Machines. - Zachary Remscrim:
The Power of a Single Qubit: Two-way Quantum Finite Automata and the Word Problem. - Malte Ostendorff, Terry Ruas, Moritz Schubotz, Georg Rehm, Bela Gipp:
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles. - Kalle Hjerppe, Jukka Ruohonen, Ville Leppänen:
Annotation-Based Static Analysis for Personal Data Protection. - Sina Mohammadi, Sina Ghofrani Majelan, Shahriar B. Shokouhi:
Ensembles of Deep Neural Networks for Action Recognition in Still Images. - Peter Robinson:
Being Fast Means Being Chatty: The Local Information Cost of Graph Spanners. - Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. - Gang Peng, Zezao Lu, Shanliang Chen, Bocheng Chen, Dingxin He:
Monocular visual-inertial SLAM algorithm combined with wheel speed anomaly detection. - Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song:
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs. - Georg Nawratil:
On the snappability and singularity-distance of frameworks with bars and triangular plates. - Yu Cao, Jianfeng Lu, Lihan Wang:
Complexity of randomized algorithms for underdamped Langevin dynamics. - Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng:
Continual Graph Learning. - Josh Brunner, Lily Chung, Erik D. Demaine, Dylan H. Hendrickson, Adam Hesterberg, Adam Suhl, Avi Zeff:
1 x 1 Rush Hour with Fixed Blocks is PSPACE-complete. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms. - Irmak Saglam, Ebru Aydin Gol:
Kontrol Edilebilir ptSTL Formulu Sentezi - Synthesis of Controllable ptSTL Formulas. - Carlos Junqueira-Junior, João Luiz F. Azevedo, Jairo Panetta, William R. Wolf, Sami Yamouni:
On the scalability of CFD tool for supersonic jet flow configurations. - Jingwei Song, Shaobo Xia, Jun Wang, Dong Chen:
Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives. - Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. - Juan Maroñas, Daniel Ramos, Roberto Paredes:
Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions. - Henk Alkema, Mark de Berg, Sándor Kisfaludi-Bak:
Euclidean TSP in Narrow Strip. - Leonid B. Sokolinsky, Irina M. Sokolinskaya:
Scalable parallel algorithm for solving non-stationary systems of linear inequalities. - Dmitrii Smolyakov, Evgeny Burnaev:
Software System for Road Condition Forecast Correction. - Mohammed Salah Ibrahim, Doaa Waleed Al-Dulaimee:
Design Multimedia Expert Diagnosing Diseases System Using Fuzzy Logic (MEDDSFL). - Pedro Hespanhol, Anil Aswani:
Hypothesis Testing Approach to Detecting Collusion in Competitive Environments. - Cagri Kilic, Christopher A. Tatsch, Bernardo Martinez R. Jr., Jared J. Beard, Derek W. Ross, Jason N. Gross:
Team Mountaineers Space Robotic Challenge Phase-2 Qualification Round Preparation Report. - Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos. - Ruotian Luo:
A Better Variant of Self-Critical Sequence Training. - Shan Jaffry, Rasheed Hussain, Xiang Gui, Syed Faraz Hasan:
A Comprehensive Survey on Moving Networks. - Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. - Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
365 Dots in 2019: Quantifying Attention of News Sources. - Reynald Affeldt, Jacques Garrigue, David Nowak, Takafumi Saikawa:
A Trustful Monad for Axiomatic Reasoning with Probability and Nondeterminism. - Suresh Kumaar Jayaraman, Dawn M. Tilbury, X. Jessie Yang, Anuj K. Pradhan, Lionel P. Robert Jr.:
Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions. - Suresh Kumaar Jayaraman, Lionel P. Robert Jr., Xi Jessie Yang, Anuj K. Pradhan, Dawn M. Tilbury:
Efficient Behavior-aware Control of Automated Vehicles at Crosswalks using Minimal Information Pedestrian Prediction Model. - Jérémy Barbay, Bernardo Subercaseaux:
The Computational Complexity of Evil Hangman. - Bruno Cartaxo, Gustavo Pinto, Sérgio Soares:
Rapid Reviews in Software Engineering. - Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Private Function Computation for Noncolluding Coded Databases. - Karim Koreitem, Florian Shkurti, Travis Manderson, Wei-Di Chang, Juan Camilo Gamboa Higuera, Gregory Dudek:
One-Shot Informed Robotic Visual Search in the Wild. - Weijia Yao, Héctor García de Marina, Ming Cao:
Mobile Robot Path Following Control in 2D Using a 3D Guiding Vector Field: Singularity Elimination and Global Convergence. - Berk Kaya, Radu Timofte:
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations. - Tristan Cazenave:
Generalized Nested Rollout Policy Adaptation. - Ion Matei, Johan de Kleer, Christoforos Somarakis, Rahul Rai, John S. Baras:
Interpretable machine learning models: a physics-based view. - Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. - Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic ReLU. - Brett Thomas Lopez, Jean-Jacques E. Slotine, Jonathan P. How:
Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics. - Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. - Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras:
Understanding the robustness of deep neural network classifiers for breast cancer screening. - Suat Gumussoy:
Coprime Inner/Outer Factorization of SISO Time-Delay Systems and FIR Structure of Their Optimal H-Infinity Controllers. - Carl Cheng, Evan Hu:
Architectural Resilience to Foreground-and-Background Adversarial Noise. - Suat Gumussoy, Wim Michiels:
Computation of Extremum Singular Values and the Strong H-infinity Norm of SISO Time-Delay Systems. - Yakov Berchenko-Kogan, Ari Stern:
Charge-conserving hybrid methods for the Yang-Mills equations. - Takafumi Otsuka:
Egalitarian solution for games with discrete side payment. - Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. - Pingcheng Ruan, Dumitrel Loghin, Quang-Trung Ta, Meihui Zhang, Gang Chen, Beng Chin Ooi:
A Transactional Perspective on Execute-order-validate Blockchains. - Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. - Koichiro Yoshino, Kohei Wakimoto, Yuta Nishimura, Satoshi Nakamura:
Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments. - Vishesh Jain, Natesh S. Pillai, Aaron Smith:
Kac meets Johnson and Lindenstrauss: a memory-optimal, fast Johnson-Lindenstrauss transform. - Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan:
ASLFeat: Learning Local Features of Accurate Shape and Localization. - Yuan Lu, Qiang Tang, Guiling Wang:
Dragoon: Private Decentralized HITs Made Practical. - Jinfei Liu:
Absolute Shapley Value. - Junming Duan, Huazhong Tang:
High-order accurate entropy stable finite difference schemes for the shallow water magnetohydrodynamics. - Théo Taburet, Patrick Bas, Wadih Sawaya, Rémi Cogranne:
JPEG Steganography and Synchronization of DCT Coefficients for a Given Development Pipeline. - Raja Jurdak, Ali Dorri, D. Mahinda Vilathgamuwa:
Internet of Mobile Energy: Towards seamless energy trading across the transport and energy sectors. - Victor A. Melent'ev:
Author's approach to the topological modeling of parallel computing systems. - Kota Yamashita, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Contextual Bandit-Based Channel Selection for Wireless LANs with Interference-Driven Feature Extraction. - Michael Stewart, Wei Liu:
E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings. - Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew:
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. - Yoan Russac, Olivier Cappé, Aurélien Garivier:
Algorithms for Non-Stationary Generalized Linear Bandits. - Daniel J. Bernstein, Luca De Feo, Antonin Leroux, Benjamin Smith:
Faster computation of isogenies of large prime degree. - Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. - Wei-Kang Fu, Yi-Shan Lin, Giovanni Campagna, De-Yi Tsai, Chun-Ting Liu, Chung-Huan Mei, Edward Y. Chang, Monica S. Lam, Shih-Wei Liao:
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology. - Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj:
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection. - Bo Jiang, Ziyan Zhang:
RobustGCNs: Robust Norm Graph Convolutional Networks in the Presence of Node Missing Data and Large Noises. - Yi Guo, Ji Liu:
Depth Edge Guided CNNs for Sparse Depth Upsampling. - Chia-Yuan Chang, Shuo-En Chang, Pei-Yung Hsiao, Li-Chen Fu:
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion. - Vaibhav Nougain, Sukumar Mishra, George S. Misyris, Spyros Chatzivasileiadis:
Identifying DC Faults in HVDC-VSC Systems for Integrating Large Offshore Wind - A Localized Protection Scheme. - Kaifeng Gao, Jingzhi Tu, Zenan Huo, Gang Mei, Francesco Piccialli, Salvatore Cuomo:
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues. - Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. - Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner:
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end. - Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen:
SOLOv2: Dynamic, Faster and Stronger. - Jonas Prellberg, Oliver Kramer:
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. - Alon Ziv:
Depth Enables Long-Term Memory for Recurrent Neural Networks. - Mario Zanon, Alberto Bemporad:
Constrained Control and Observer Design by Inverse Optimality. - Deebul Nair, Amirhossein Pakdaman, Paul G. Plöger:
Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification. - Huawei Wei, Peng Lu, Yichen Wei:
Balanced Alignment for Face Recognition: A Joint Learning Approach. - Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi:
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. - Ilona Ambartsumyan, Wajih Bou Karam, Tan Bui-Thanh, Omar Ghattas, David E. Keyes, Georg Stadler, George Turkiyyah, Stefano Zampini:
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs. - Vladimiros Sterzentsenko, Alexandros Doumanoglou, Spyridon Thermos, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras:
Deep Soft Procrustes for Markerless Volumetric Sensor Alignment. - Beatrice Capelli, Lorenzo Sabattini:
Connectivity Maintenance: Global and Optimized approach through Control Barrier Functions. - Hanz Martin Cheng, Jan H. M. ten Thije Boonkkamp:
A Generalised Complete Flux scheme for anisotropic advection-diffusion equations. - Li Qiao, Jun Zhang, Zhen Gao, Sheng Chen, Lajos Hanzo:
Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications. - Kacper Kielak:
Importance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari. - Fabian Mentzer, Luc Van Gool, Michael Tschannen:
Learning Better Lossless Compression Using Lossy Compression. - Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Decentralized multi-agent reinforcement learning with shared actions. - Adnan Aijaz:
High-Performance Industrial Wireless: Achieving Reliable and Deterministic Connectivity over IEEE 802.11 WLANs. - Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar:
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. - Chen Miao, Shaohua Ma:
Eigen component analysis: A quantum theory incorporated machine learning technique to find linearly maximum separable components. - Sebastian Pina-Otey, Thorsten Lux, Federico Sánchez, Vicens Gaitan:
Efficient sampling generation from explicit densities via Normalizing Flows. - Henning Wessels, Christian Weißenfels, Peter Wriggers:
The Neural Particle Method - An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics. - Alessio Chiapperini, Marino Miculan, Marco Peressotti:
A CSP implementation of the directed bigraph embedding problem. - Nicholas K.-R. Kevlahan, Ramsha A. Khan:
Second order adjoint sensitivity analysis in variational data assimilation for tsunami models. - Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu:
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. - Sehun Chun, Chris D. Cantwell:
PDE-induced connection of moving frames for the Atlas of the cardiac electric propagation on 2D atrium. - Sai Sidhardh, Sansit Patnaik, Fabio Semperlotti:
Thermoelastic Response of Fractional-Order Nonlocal and Geometrically Nonlinear Beams. - Gernot Beer, Eugenio Ruocco, Christian Dünser, Vincenzo Mallardo:
Efficient simulation of inclusions and reinforcement bars with the isogeometric Boundary Element method. - Jin Zhang, Xiaowei Liu:
Optimal order of uniform convergence for finite element method on Bakhvalov-type meshes. - Marco Faggian, Michele Urbani, Luca Zanotto:
Proximity: a recipe to break the outbreak. - Christos Xypolopoulos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings. - Luke Wicent Sy, Nigel H. Lovell, Stephen J. Redmond:
Estimating Lower Limb Kinematics using Distance Measurements with a Reduced Wearable Inertial Sensor Count. - Michal Garlík:
Failure of Feasible Disjunction Property for k-DNF Resolution and NP-hardness of Automating It. - Xixia Xu, Qi Zou, Xue Lin:
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection. - Filippo Bertoncelli, Fabio Ruggiero, Lorenzo Sabattini:
Linear Time-Varying MPC for Nonprehensile Object Manipulation with a Nonholonomic Mobile Robot. - Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo:
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. - Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin:
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. - Guillaume Raille, Sandra Djambazovska, Claudiu Musat:
Fast Cross-domain Data Augmentation through Neural Sentence Editing. - Rana Abbas, Tao Huang, Basit Shahab, Mahyar Shirvanimoghaddam, Yonghui Li, Branka Vucetic:
Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT. - Mathis Brosowsky, Olaf Dünkel, Daniel Slieter, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. - Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
Mobility-aware Beam Steering in Metasurface-based Programmable Wireless Environments. - Edwin Mora, Florian Steinke:
On the minimal set of controllers and sensors for linear power flow. - Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang:
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation. - Felix Bauckholt, Laura Sanità:
On the diameter of the polytope of the stable marriage with ties. - Roberto Morabito, Jaime Jiménez:
IETF protocol suite for the Internet of Things: Overview and Recent Advancements. - Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro:
Graph Neural Networks for Decentralized Controllers. - José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag:
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion. - Xuehai He, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie:
PathVQA: 30000+ Questions for Medical Visual Question Answering. - Serhii Brodiuk, Vasyl Palchykov, Yurij Holovatch:
Embedding technique and network analysis of scientific innovations emergence in an arXiv-based concept network. - Man Wang, Chao Zhang, Xiaoming Chen, Suhua Tang:
Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment. - Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Game Tactics for Football. - Juan María Hernández, Pablo Dorta-González:
Interdisciplinarity metric based on the co-citation network. - Thong Nguyen, Duy Nguyen, Pramod Rao:
Adaptive Name Entity Recognition under Highly Unbalanced Data. - Weifeng Qiu, Ke Shi:
Analysis of a semi-implicit structure-preserving finite element method for the nonstationary incompressible Magnetohydrodynamics equations. - Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. - David Higgins, Vince I. Madai:
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcare. - Thomas Uriot, Dario Izzo:
Safe Crossover of Neural Networks Through Neuron Alignment. - Alessandro G. Di Nuovo:
A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits. - Ziqi Zhang, Xinge Zhu, Yingwei Li, Xiangqun Chen, Yao Guo:
Adversarial Attacks on Monocular Depth Estimation. - Fabian Gies, Joachim Posselt, Michael Buchholz, Klaus Dietmayer:
Extended Existence Probability Using Digital Maps for Object Verification. - Guang-Jing Song, Michael K. Ng:
Fast Alternating Projections on Manifolds Based on Tangent Spaces. - Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin Ngueveu:
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. - Lingying Huang, Jiazheng Wang, Enoch Kung, Yilin Mo, Junfeng Wu, Ling Shi:
Stochastic Event-based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks. - Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Contours: Learning to Draw Lines from 3D Shapes. - Dan Kushnir, Luca Venturi:
Diffusion-based Deep Active Learning. - Amr Alanwar, Jagat Jyoti Rath, Hazem Said, Matthias Althoff:
Distributed Set-Based Observers Using Diffusion Strategy. - Marco Coraggio, Pietro De Lellis, Mario di Bernardo:
Distributed Discontinuous Coupling for Convergence in Networks of Heterogeneous Nonlinear Systems. - Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. - Joymallya Chakraborty, Suvodeep Majumder, Zhe Wu, Tim Menzies:
Fairway: SE Principles for Building Fairer Software. - Christian E. López, Malolan Vasu, Caleb Gallemore:
Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset. - José A. Perusquía, Jim E. Griffin, Cristiano Villa:
Bayesian Models Applied to Cyber Security Anomaly Detection Problems. - Chris J. Michael, Dina M. Acklin, Jaelle Scheuerman:
On Interactive Machine Learning and the Potential of Cognitive Feedback. - James Goodman, Simon Lucas:
Weighting NTBEA for Game AI Optimisation. - Allen Wang, Ashkan Jasour, Brian C. Williams:
Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning. - Ali Payani, Faramarz Fekri:
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming. - Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. - Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu:
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting. - Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization. - Antti Hannukainen, Nuutti Hyvönen, Lauri Perkkiö:
Inverse heat source problem and experimental design for determining iron loss distribution. - Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. - Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard:
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. - Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy:
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations. - John Cummins, Christopher Clack:
Transforming Commercial Contracts through Computable Contracting. - Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun:
Learning Dynamic Routing for Semantic Segmentation. - Víctor Mayoral Vilches, Nuria García-Maestro, McKenna Towers, Endika Gil-Uriarte:
DevSecOps in Robotics. - Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra:
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. - Chun Liu, Yiwei Wang:
A Variational Lagrangian Scheme for a Phase Field Model: A Discrete Energetic Variational Approach. - Venkatesh S. Kadandale, Juan F. Montesinos, Gloria Haro, Emilia Gómez:
Multi-task U-Net for Music Source Separation. - Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth:
Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency. - Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri, Martin Jaggi, Sebastian U. Stich:
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates. - Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. - Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich:
Atlas: End-to-End 3D Scene Reconstruction from Posed Images. - Cesar Aguado-Cortés, Víctor M. Castaño:
Translational Knowledge Map of COVID-19. - Kurt Leimer, Andreas Winkler, Stefan Ohrhallinger, Przemyslaw Musialski:
Pose to Seat: Automated Design of Body-Supporting Surfaces. - Qiufen Ni, Jianxiong Guo, Chuanhe Huang, Weili Wu:
Influence-based Community Partition with Sandwich Method for Social Networks. - Lei Wang, Zhaoyang Qu, Yang Li, Kewei Hu, Jian Sun, Kai Xue, Mingshi Cui:
Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS based on Temporal-Topological Correlation. - Guanglian Li, Jiuhua Hu:
Wavelet-based Edge Multiscale Parareal Algorithm for Parabolic Equations with Heterogeneous Coefficients. - Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik:
Learning Object Permanence from Video. - Görkem Algan, Ilkay Ulusoy:
Label Noise Types and Their Effects on Deep Learning. - Alexander E. Beasley:
A distributed memory, local configuration technique for re-configurable logic designs. - Tao Wang, Binjie Li, Xiaoping Xie:
Discontinuous Galerkin method for a distributed optimal control problem governed by a time fractional diffusion equation. - Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge from Graph Convolutional Networks. - Ivan Vybornyi, Abderrahmen Trichili, Mohamed-Slim Alouini:
Backflash Light as a Security Vulnerability in Quantum Key Distribution Systems. - Roberta Calegari, Andrea Loreggia, Emiliano Lorini, Francesca Rossi, Giovanni Sartor:
Modeling Contrary-to-Duty with CP-nets. - Charles Poussot-Vassal, Pierre Vuillemin:
Yet another introduction to linear dynamical systems control: From identification and approximation to digital control. - Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil:
Efficient Tensor Kernel methods for sparse regression. - Alexander Suh, Yuval Timen:
Creating Synthetic Datasets via Evolution for Neural Program Synthesis. - Jovonni L. Pharr:
AfricaOS: Using a distributed, proposal-based, replicated state machine towards liberation from the Berlin Conference of 1885. - Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multi-Robot Coordination. - Soumya Kundu, Karanjit Kalsi:
Transient Safety Filter Design for Grid-Forming Inverters. - Alvi Md. Ishmam, Md Raihan Mia, Sharmin Akther Purabi, Rayhan Rashed, Sriram Chellappan, A. B. M. Alim Al Islam:
An Integrated Digital Platform for Bridging Gaps between General Public, Donors, and Social Welfare Organizations Working for Street Children in Bangladesh. - Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui:
Peeking into occluded joints: A novel framework for crowd pose estimation. - Xiaozan Lyu, Rodrigo Costas:
How do academic topics shift across altmetric sources? A case study of the research area of Big Data. - Bilgiday Yuce, Patrick Schaumont, Marc Witteman:
Fault Attacks on Secure Embedded Software: Threats, Design and Evaluation. - Chris Bamford, Simon M. Lucas:
Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels. - Hamed Aslani, Davod Khojasteh Salkuyeh, Fatemeh Panjeh Ali Beik:
On the preconditioning of three-by-three block saddle point problems. - Haibo Ye, Tao Gu, Xianping Tao, Jian Lu:
Crowdsourced Smartphone Sensing for Localization in Metro Trains. - Somalee Datta, José D. Posada, Garrick Olson, Wencheng Li, Ciaran O'Reilly, Deepa Balraj, Joseph Mesterhazy, Joseph Pallas, Priyamvada Desai, Nigam Shah:
A new paradigm for accelerating clinical data science at Stanford Medicine. - Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather:
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. - Rong Du, Sindri Magnússon, Carlo Fischione:
The Internet of Things as a Deep Neural Network. - Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev:
Data-driven models and computational tools for neurolinguistics: a language technology perspective. - Hyunji Chung, Jungheum Park, Sangjin Lee:
Forensic Analysis of Residual Information in Adobe PDF Files. - Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Gaussian Process Bandits by Believing only Informative Actions. - Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman:
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. - Ifrah Idrees, Steven P. Reiss, Stefanie Tellex:
RoboMem: Giving Long Term Memory to Robots. - Kyle Kingsbury, Peter Alvaro:
Elle: Inferring Isolation Anomalies from Experimental Observations. - Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. - Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman:
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. - Jakub Maksymilian Fober:
Perspective picture from Visual Sphere: a new approach to image rasterization. - Xingjian Ding, Jianxiong Guo, Deying Li, Weili Wu:
An Incentive Mechanism for Building a Secure Blockchain-based Industrial Internet of Things. - Jiani Li, Waseem Abbas, Xenofon D. Koutsoukos:
Resilient Distributed Diffusion in Networks with Adversaries. - Iroro Orife, David Ifeoluwa Adelani, Timi E. Fasubaa, Victor Williamson, Wuraola Fisayo Oyewusi, Olamilekan Wahab, Kola Tubosun:
Improving Yorùbá Diacritic Restoration. - Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson:
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. - Florent Foucaud, Benjamin Gras, Anthony Perez, Florian Sikora:
On the complexity of Broadcast Domination and Multipacking in digraphs. - Aleksandar Stanoev, Adnan Aijaz, Anthony Portelli, Michael Baddeley:
Demo: Closed-Loop Control over Wireless - Remotely Balancing an Inverted Pendulum on Wheels. - Reed Milewicz, Gustavo Pinto, Paige Rodeghero:
Characterizing the Roles of Contributors in Open-source Scientific Software Projects. - Yossi Arjevani, Michael Field:
Symmetry & critical points for a model shallow neural network. - Alireza Nooraiepour, Sina Rezaei Aghdam:
Learning End-to-End Codes for the BPSK-constrained Gaussian Wiretap Channel. - Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le:
Meta Pseudo Labels. - Bruno Barazani, Guillaume Dion, Jean-François Morissette, Louis Beaudoin, Julien Sylvestre:
Microfabricated Neuroaccelerometer: Integrating Sensing and Reservoir Computing in MEMS. - Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño:
Input representation in recurrent neural networks dynamics. - Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Approximate Aggregate Queries Under Additive Inequalities. - Liliang Ren, Zhuonan Hao:
A Simple Fix for Convolutional Neural Network via Coordinate Embedding. - Martin Mayr, Martin Stumpf, Anguelos Nicolaou, Mathias Seuret, Andreas K. Maier, Vincent Christlein:
Spatio-Temporal Handwriting Imitation. - Liwei Song, Prateek Mittal:
Systematic Evaluation of Privacy Risks of Machine Learning Models. - Apurva Gandhi, Shomik Jain:
Adversarial Perturbations Fool Deepfake Detectors. - Hassam Ullah Sheikh, Ladislau Bölöni:
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. - Amir Hossein Kargaran, Amir Neshastegaran, Iman Izadi, Ehsan Yazdian:
Analytical Derivation and Comparison of Alarm Similarity Analysis Methods. - Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. - Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva:
Defense Through Diverse Directions. - Akshay Jain, Elena López-Aguilera, Ilker Demirkol:
User Association and Resource Allocation in 5G (AURA-5G): A Joint Optimization Framework. - Arka Sadhu, Kan Chen, Ram Nevatia:
Video Object Grounding using Semantic Roles in Language Description. - Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge:
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading. - Shangbang Long, Cong Yao:
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World. - Fabricio Mendoza-Granada, Marcos Villagra:
A Distributed Algorithm for Spectral Sparsification of Graphs with Applications to Data Clustering. - Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl:
Spatio-Temporal Graph Convolution for Functional MRI Analysis. - Zhipeng Liu, Yinhui Han, Jianwei Fan, Lin Zhang, Yunzhi Lin:
Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach. - Kei Nemoto, Shweta Jain:
A Pitfall of Learning from User-generated Data: In-depth Analysis of Subjective Class Problem. - Shimin Wang:
Adaptive Distributed Observer for an Uncertain Leader over General Directed Graphs. - Daisuke Ishii, Tomohito Yabu:
Computer-Assisted Verification of Four Interval Arithmetic Operators. - Suat Gumussoy, Wim Michiels:
Fixed-Order H-infinity Optimization of Time-Delay Systems. - Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan:
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering. - Shuchi Chawla, Yifeng Teng, Christos Tzamos:
Menu-size Complexity and Revenue Continuity of Buy-many Mechanisms. - Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen:
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. - I-Ta Lee, Manish Marwah, Martin F. Arlitt:
Attention-Based Self-Supervised Feature Learning for Security Data. - Yoichi Matsuo, Tatsuaki Kimura, Ken Nishimatsu:
DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN. - John Aiken, Fabio L. Traversa:
Memcomputing for Accelerated Optimization. - Jiaming Song, Lunjia Hu, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-fly Dataset Denoising for Image Classification. - Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe:
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection. - Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. - Piyush Gupta, Demetris Coleman, Joshua E. Siegel:
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks). - Zhongguo Li, Fan Lyu, Wei Feng, Song Wang:
Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition. - Pradipta Ghosh, Xiaochen Liu, Hang Qiu, Marcos Augusto M. Vieira, Gaurav S. Sukhatme, Ramesh Govindan:
On Localizing a Camera from a Single Image. - Xuesong Li, José E. Guivant, Subhan Khan:
Real-time 3D object proposal generation and classification under limited processing resources. - Kun Xie, Wen Chen, Lili Wei:
Increasing Security Degree of Freedom in Multi-user and Multi-eve Systems. - Karina A. Roundtree, Jason R. Cody, Jennifer Leaf, H. Onan Demirel, Julie A. Adams:
Human collective visualization transparency. - Min Shi, Jia-Qi Zhang, Shu-Yu Chen, Lin Gao, Yu-Kun Lai, Fang-Lue Zhang:
Deep Line Art Video Colorization with a Few References. - Jonathan Mallinson, Aliaksei Severyn, Eric Malmi, Guillermo Garrido:
Felix: Flexible Text Editing Through Tagging and Insertion. - Nicolas Weber, Felipe Huici:
SOL: Effortless Device Support for AI Frameworks without Source Code Changes. - Ramesh Kolluru, N. Venkata Raghavendra, S. V. Raghurama Rao, G. N. Sekhar:
Novel, simple and robust contact-discontinuity capturing schemes for high speed compressible flows. - Vishnu Veerathu, Yogesh Tripathi:
Parameterized Algorithms for Red-Blue Weighted Vertex Cover on Trees. - Dominik Kowald, Elisabeth Lex, Markus Schedl:
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. - Iroro Orife:
Towards Neural Machine Translation for Edoid Languages. - Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, Matthias Weidlich:
Quantifying the Re-identification Risk of Event Logs for Process Mining. - Julien Chevallier, Anna Melnykova, Irene Tubikanec:
Theoretical analysis and simulation methods for Hawkes processes and their diffusion approximation. - Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi:
Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. - David Schindler, Benjamin Zapilko, Frank Krüger:
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. - Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation. - Jae-Won Chung, Jae-Yun Kim, Soo-Mook Moon:
ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference. - Chao Dong, Yun Shen, Yuben Qu, Qihui Wu, Fan Wu, Guihai Chen:
UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks. - (Withdrawn) Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives.
- Kashyap Thimmaraju, Stefan Schmid:
Towards Fine-Grained Billing For Cloud Networking. - Erik Burman, Snorre Christiansen, Peter Hansbo:
Application of a minimal compatible element to incompressible and nearly incompressible continuum mechanics. - (Withdrawn) A Systematic Mapping of Software Engineering Challenges: GHTorrent Case.
- Daniel Ward, Peyman Moghadam:
Scalable learning for bridging the species gap in image-based plant phenotyping. - Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. - Alice Yi Yang, Ling Cheng:
Two-Step Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Neural. - Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. - Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. - Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. - Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe:
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. - Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao, Makoto Morishita, Masaaki Nishino, Yoichi Matsuo, Keishiro Watanabe:
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning. - Gregor Gantner, Alexander Haberl, Dirk Praetorius, Stefan Schimanko:
Rate optimality of adaptive finite element methods with respect to the overall computational costs. - Feiyang Cai, Jiani Li, Xenofon D. Koutsoukos:
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression. - Maxim Vashkevich, Alexander Petrovsky, Yuliya Rushkevich:
Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato. - Abdullah Othman, Wessam Mesbah, Naveed Iqbal, Suhail Al-Dharrab, Ali H. Muqaibel, Gordon L. Stüber:
Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition. - Benjamin Rosen, Shane House, Shamin Achari, Ling Cheng:
A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems. - Ramy Amer, Hesham ElSawy, M. Majid Butt, Eduard A. Jorswieck, Mehdi Bennis, Nicola Marchetti:
Optimized Caching and Spectrum Partitioning for D2D enabled Cellular Systems with Clustered Devices. - Hippolyte Dubois, Patrick Le Callet, Antoine Coutrot:
Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks. - Viktor Varkarakis, Peter Corcoran:
Dataset Cleaning - A Cross Validation Methodology for Large Facial Datasets using Face Recognition. - Nasrin Taghizadeh, Heshaam Faili:
Cross-Lingual Adaptation Using Universal Dependencies. - Kedan Li, Min Jin Chong, Jingen Liu, David A. Forsyth:
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps. - Emna Baccour, Aiman Erbad, Kashif Bilal, Amr Mohamed, Mohsen Guizani, Mounir Hamdi:
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations. - Yizhak Ben-Shabat, Stephen Gould:
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares. - Satwik Patnaik, Mohammed Ashraf, Ozgur Sinanoglu, Johann Knechtel:
Obfuscating the Interconnects: Low-Cost and Resilient Full-Chip Layout Camouflaging. - Shervin Minaee, Mehdi Minaei, AmirAli Abdolrashidi:
Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN. - Du Su, Ali Yekkehkhany, Yi Lu, Wenmiao Lu:
Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring. - Ophir Gozes, Hayit Greenspan:
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. - Abul Hashem Beg, Md Zahidul Islam, Vladimir Estivill-Castro:
Tree Index: A New Cluster Evaluation Technique. - Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran:
Re-Training StyleGAN - A First Step Towards Building Large, Scalable Synthetic Facial Datasets. - Yunlei Liang, Song Gao, Yuxin Cai, Natasha Zhang Foutz, Lei Wu:
Calibrating the dynamic Huff model for business analysis using location big data. - SangHun Cheong, Brian Y. Cho, Jinhwi Lee, Chang-Hwan Kim, Changjoo Nam:
Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation. - Louis C. Tiao, Aaron Klein, Cédric Archambeau, Matthias W. Seeger:
Model-based Asynchronous Hyperparameter Optimization. - Jingwei Song, Jun Wang, Liang Zhao, Shoudong Huang, Gamini Dissanayake:
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery. - Matteo Pozza, Ashwin Rao, Diego Lugones, Sasu Tarkoma:
FlexState: Enabling Innovation in Network Function State Management. - Eric Hans Lee, Valerio Perrone, Cédric Archambeau, Matthias W. Seeger:
Cost-aware Bayesian Optimization. - Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, Lizhuang Ma:
EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery. - Suat Mercan, Enes Erdin, Kemal Akkaya:
Improving Transaction Success Rate via Smart Gateway Selection in Cryptocurrency Payment Channel Networks. - Maryam Alimardani, Annabella Hermans, Angelica M. Tinga:
Assessment of Empathy in an Affective VR Environment using EEG Signals. - Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing for H2/H∞ Optimal Observer Design with Bounded Errors. - Amir Livne, Alexander M. Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit:
Do We Need Depth in State-Of-The-Art Face Authentication? - Hughes Perreault, Maguelonne Héritier, Pierre Gravel, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
RN-VID: A Feature Fusion Architecture for Video Object Detection. - Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt:
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. - Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl:
Distributional Reinforcement Learning with Ensembles. - Eirik Valseth, Albert Romkes:
Goal-Oriented Error Estimation for the Automatic Variationally Stable FE Method for Convection-Dominated Diffusion Problems. - Vikram Krishnamurthy:
Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction. - Hamed Z. Jahromi, Ivan Bartolec, Edwin Gamboa, Andrew Hines, Raimund Schatz:
You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control. - Rui Li, Qian Ma, Jie Gong, Zhi Zhou, Xu Chen:
Age of Processing: Age-driven Status Sampling and Processing Offloading for Edge Computing-enabled Real-time IoT Applications. - Omar Bouhamed, Hakim Ghazzai, Hichem Besbes, Yehia Massoud:
Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach. - Nannan Li, Zhenzhong Chen:
Learning Compact Reward for Image Captioning. - Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya:
Kalman Filtering with Probabilistic Uncertainty in System Parameters. - Ignacio Torroba, Christopher Iliffe Sprague, Nils Bore, John Folkesson:
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM. - Yang Liu, Zhuo Ma, Ximeng Liu, Jianfeng Ma:
Learn to Forget: User-Level Memorization Elimination in Federated Learning. - Martin Grohe, Pascal Schweitzer, Daniel Wiebking:
Deep Weisfeiler Leman. - Drayton Munster, Eric de Sturler:
Robust Parameter Inversion using Adaptive Reduced Order Models. - Lars Diening, Christian Kreuzer:
On the threshold condition for Dörfler marking. - Peng Zhou, Nathan R. McDonald, Alexander J. Edwards, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman:
Reservoir Computing with Planar Nanomagnet Arrays. - Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu:
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask. - Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Exploiting Event Cameras by Using a Network Grafting Algorithm. - Eduardo A. Barros de Moraes, Hadi Salehi, Mohsen Zayernouri:
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework. - Xue-She Wang, James D. Turner, Brian P. Mann:
A Data-Efficient Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL). - Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. - Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. - Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell H. Taylor, Mathias Unberath:
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration. - Artur Strzelecki:
The Second Worldwide Wave of Interest in Coronavirus since the COVID-19 Outbreaks in South Korea, Italy and Iran: A Google Trends Study. - Kévin Garanger, Isaac del Valle, Miriam Rath, Matthew Krajewski, Utkarsh Raheja, Marco Pavone, Julian J. Rimoli:
Soft Tensegrity Systems for Planetary Landing and Exploration. - Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns:
Hybrid Classification and Reasoning for Image-based Constraint Solving. - Faroq Al-Tam, Noélia Correia, Jonathan Rodriguez:
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer. - Nicolas Behr, Maryam Ghaffari Saadat, Reiko Heckel:
Commutators for Stochastic Rewriting Systems: Theory and Implementation in Z3. 126-144 - V. J. Dowling, V. A. Slipko, Yuriy V. Pershin:
Probabilistic Memristive Networks - Part I: Application of a Master Equation to Networks of Binary ReRAM cells. - Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. - Khanh N. Dang, Michael Conrad Meyer, Yuichi Okuyama, Abderazek Ben Abdallah:
A low-overhead soft-hard fault-tolerant architecture, design and management scheme for reliable high-performance many-core 3D-NoC systems. - Noura Hamzé, Lukas Nocker, Nikolaus Rauch, Markus Walzthöni, Fabio Carrillo, Philipp Fürnstahl, Matthias Harders:
Automatic Modelling of Human Musculoskeletal Ligaments - Framework Overview and Model Quality Evaluation. - Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Deformable Style Transfer. - Hector Zenil:
A Review of Methods for Estimating Algorithmic Complexity and Beyond: Options, and Challenges. - Satya Narayan Shukla, Benjamin M. Marlin:
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction. - Ahmad Shabani Baghani, Sonbol Rahimpour, Majid Khabbazian:
The DAO Induction Attack Against the RPL-based Internet of Things. - Eyal Nitzan, Topi Halme, Visa Koivunen:
Bayesian Methods for Multiple Change-Point Detection with Reduced Communication. - Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal:
A Survey of Methods for Low-Power Deep Learning and Computer Vision. - Berat Mert Albaba, Yildiray Yildiz:
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory. - Juan Luis Villarreal-Haro, Alonso Ramirez-Manzanares, Juan Antonio Pichardo-Corpus:
A Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives. - Pushyami Kaveti, Sammie Katt, Hanumant Singh:
Removing Dynamic Objects for Static Scene Reconstruction using Light Fields. - Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. - Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson:
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization. - Ganapati Bhat, Suat Gumussoy, Ümit Y. Ogras:
Analysis and Control of Power-Temperature Dynamics in Heterogeneous Multiprocessors. - Claudia Schulz, Damir Juric:
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! - Ilias Diakonikolas, Jerry Li, Anastasia Voloshinov:
Efficient Algorithms for Multidimensional Segmented Regression. - Tomas Wilkinson, Carl Nettelblad:
Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment. - Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features. - Mike Thelwall, Saheeda Thelwall:
Covid-19 Tweeting in English: Gender Differences. - Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias:
How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric. - Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga, Alain Tapp:
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World. - Han Liu, Shantao Liu:
EQL - an extremely easy to learn knowledge graph query language, achieving highspeed and precise search. - Junfeng Guo, Zelun Kong, Cong Liu:
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks. - Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. - Johann Rudi, Yu-Hsuan Shih, Georg Stadler:
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies. - Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li:
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. - Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich:
Context-Aware Parse Trees. - Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman:
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. - Piero Giacomelli:
Implementing Suffix Array Algorithm Using Apache Big Table Data Implementation. - Martino Borello, Abdelillah Jamous:
Dihedral codes with prescribed minimum distance. - Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou:
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. - Thibaut Vidal, Toni Pacheco, Maximilian Schiffer:
Born-Again Tree Ensembles. - Tiago Novello, Vinícius da Silva, Luiz Velho:
Global Illumination of non-Euclidean spaces. - Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes:
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. - Ji Eun Kim, Milena Tsvetkova:
Large-scale network analysis reveals cheating spreads through victimization and observation. - Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le:
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. - Jonathan Crussell, David Fritz, Vince Urias:
Automated Discovery for Emulytics. - Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang:
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. - Kaisa Liimatainen, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, Pekka Ruusuvuori:
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. - Nazar Emirov, Cheng Cheng, Junzheng Jiang, Qiyu Sun:
Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering. - Saeed Anwar, Nick Barnes, Lars Petersson:
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. - Anthony Aguirre, Gaia Dempsey, Harry Surden, Peter B. Reiner:
AI loyalty: A New Paradigm for Aligning Stakeholder Interests. - Josimar E. Chire Saire, Roberto C. Navarro:
What is the people posting about symptoms related to Coronavirus in Bogota, Colombia? - Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng:
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach. - Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley:
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods. - Nirav Ajmeri, Shubham Goyal, Munindar P. Singh:
Norms and Sanctions as a Basis for Promoting Cybersecurity Practices. - Yiwen Hua, Puneet Kohli, Pritish Uplavikar, Anand Ravi, Saravana Gunaseelan, Jason Orozco, Edward Li:
Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset. - Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li:
Learning Syntactic and Dynamic Selective Encoding for Document Summarization. - Aunas Manzoor, S. M. Ahsan Kazmi, Shashi Raj Pandey, Choong Seon Hong:
Contract-based Scheduling of URLLC Packets in Incumbent EMBB Traffic. - Pritish Narayanan, Charles E. Cox, Alexis Asseman, Nicolas Antoine, Harald Huels, Winfried W. Wilcke, Ahmet S. Ozcan:
Overview of the IBM Neural Computer Architecture. - Haiyang Xu, Junwen Chen, Kun Han, Xiangang Li:
Adversarial Multi-Binary Neural Network for Multi-class Classification. - Ankit Vora, Siddharth Agarwal, Gaurav Pandey, James R. McBride:
Aerial Imagery based LIDAR Localization for Autonomous Vehicles. - Xingbo Lu, Weiwei Yang, Xinrong Guan, Qingqing Wu, Yueming Cai:
Robust and Secure Beamforming for Intelligent Reflecting Surface Aided mmWave MISO Systems. - Hoda Shajari, Anand Rangarajan:
A Unified Framework for Multiclass and Multilabel Support Vector Machines. - Xiongfeng Guo, Tianhao Wu, Lin Zhang:
Value-Decomposition Networks based Distributed Interference Control in Multi-platoon Groupcast. - Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach. - Ya Zhou, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen, Weiping Li:
Prior-enlightened and Motion-robust Video Deblurring. - Yiding Yu, Soung Chang Liew, Taotao Wang:
Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks with Imperfect Channels. - Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka:
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval. - Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Xin Ning:
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation. - Bin Cheng, Xiangke Wang, Zhongkui Li:
Event-Triggered Consensus of Homogeneous and Heterogeneous Multi-Agent Systems with Jointly Connected Switching Topologies. - Weizhang Huang, Weishi Liu, Yufei Yu:
Permanent charge effects on ionic flow: a numerical study of flux ratios and their bifurcation. - Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. - Bin Zhang, Jian Li, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yili Xia, Wenjiang Pei, Rongrong Ji:
ASFD: Automatic and Scalable Face Detector. - Mahmood Yousefi-Azar, Mohamed Ali Kâafar, Andy Walker:
Unsupervised Learning for security of Enterprise networks by micro-segmentation. - Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. - Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet. - Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. - Chih-Hong Cheng:
Safety-Aware Hardening of 3D Object Detection Neural Network Systems. - Ziyin Liu, Zihao Wang, Makoto Yamada, Masahito Ueda:
Volumization as a Natural Generalization of Weight Decay. - Renjie Wu, Eamonn J. Keogh:
FastDTW is approximate and Generally Slower than the Algorithm it Approximates. - Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. - Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab:
Data-consistent neural networks for solving nonlinear inverse problems. - Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou:
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. - Shi Jin, Lei Li, Jian-Guo Liu:
Convergence of Random Batch Method for interacting particles with disparate species and weights. - Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Neda Noormohammadi:
Multiscale Sparsifying Transform Learning for Image Denoising. - Jun Yang, Fei Wang:
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling. - Nikhil Khatri, Shirshendu Chakrabarti:
NVMe and PCIe SSD Monitoring in Hyperscale Data Centers. - Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. - Yixin Cao, Yuping Ke, Hanchun Yuan:
Polynomial Kernels for Paw-free Edge Modification Problems. - Julian Bernhard, Alois C. Knoll:
Robust Stochastic Bayesian Games for Behavior Space Coverage. - Jakramate Bootkrajang:
Boosting Ridge Regression for High Dimensional Data Classification. - Rui She, Pingyi Fan:
MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection. - Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha:
SCATTER: Selective Context Attentional Scene Text Recognizer. - Matteo Saveriano:
An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems. - Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen:
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking. - Daniel Wagner, Didier Henrion, Martin Hromcík:
Measures and LMIs for Lateral F-16 MRAC Validation. - Babak Naderi, Tobias Hoßfeld, Matthias Hirth, Florian Metzger, Sebastian Möller, Rafael Zequeira Jiménez:
Impact of the Number of Votes on the Reliability and Validity of Subjective Speech Quality Assessment in the Crowdsourcing Approach. - Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn:
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. - Nina Chiarelli, Matjaz Krnc, Martin Milanic, Ulrich Pferschy, Nevena Pivac, Joachim Schauer:
Fair packing of independent sets. - Noemi Mauro, Liliana Ardissono:
Session-based Suggestion of Topics for Geographic Exploratory Search. - Rixing Zhu, Jianwu Fang, Hongke Xu, Hongkai Yu, Jianru Xue:
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification. - Namhoon Lee, Philip H. S. Torr, Martin Jaggi:
Data Parallelism in Training Sparse Neural Networks. - Robin Haunschild, Lutz Bornmann:
Which papers cited which tweets? An empirical analysis based on Scopus data. - Joeri Frederik, Bart M. Doekemeijer, Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
On wind farm wake mixing strategies using dynamic individual pitch control. - Christopher Starke, Marco Lünich:
Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy. - Alejandro Barredo Arrieta, Javier Del Ser:
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. - Wilmer Ricciotti, James Cheney:
A Formalization of SQL with Nulls. - Dieter Weber, Alexander Clausen, Rafal E. Dunin-Borkowski:
Next-Generation Information Technology Systems for Fast Detectors in Electron Microscop. - Thanh Tung Khuat, Bogdan Gabrys:
Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. - M. Tuluhan Akbulut, M. Yunus Seker, Ahmet Ercan Tekden, Yukie Nagai, Erhan Öztop, Emre Ugur:
Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning. - Joseph Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel A. Luengo-Oroz:
Mapping the Landscape of Artificial Intelligence Applications against COVID-19. - Zhuoping Yu, Zhong Gao, Hansheng Chen, Yuyao Huang:
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection. - Jie Chang, Zhonghao Lan, Changmao Cheng, Yichen Wei:
Data Uncertainty Learning in Face Recognition. - Kashyap Thimmaraju, Julian Fietkau, Fatemeh Ganji:
Towards an Insightful Computer Security Seminar. - Longhui Wei, An Xiao, Lingxi Xie, Xin Chen, Xiaopeng Zhang, Qi Tian:
Circumventing Outliers of AutoAugment with Knowledge Distillation. - Muhammad Mohtasim Sajjad, Carlos J. Bernardos, Dhammika Jayalath, Yu-Chu Tian:
Inter-Slice Mobility Management in 5G: Motivations, Standard Principles, Challenges and Research Directions. - Indika Kumara, Giovanni Quattrocchi, Damian A. Tamburri, Willem-Jan van den Heuvel:
Quality Assurance of Heterogeneous Applications: The SODALITE Approach. - Andrei A. Krokhin, Jakub Oprsal, Marcin Wrochna, Stanislav Zivný:
Topology and adjunction in promise constraint satisfaction. - Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov:
Multiscale modelling and simulation of physical systems as semiosis. - Saumik Dana, Mary F. Wheeler:
A machine learning accelerated FE2 homogenization algorithm for elastic solids. - Zhucun Xue, Nan Xue, Gui-Song Xia:
Fisheye Distortion Rectification from Deep Straight Lines. - Eneko Osaba:
Diseño e implementación de una meta-heurística multi-poblacional de optimización combinatoria enfocada a la resolución de problemas de asignación de rutas a vehículos. - Ruichao Xie, Innocent Kamwa, C. Y. Chung:
A Novel Wide-Area Control Strategy for Damping of Critical Frequency Oscillations via Modulation of Active Power Injections. - Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer:
Discriminative Viewer Identification using Generative Models of Eye Gaze. - Abhishek Gupta, William B. Haskell:
Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence. - Andrea Matera, Vittorio Rampa, Marcello Donati, Armando Colamonico, Andrea F. Cattoni, Umberto Spagnolini:
Analog MIMO RoC Passive Relay for Indoor Deployments of Wireless Networks. - Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov, Christoph Paus:
Dynamo - Handling Scientific Data Across Sites and Storage Media. - Ana Tanevska, Francesco Rea, Giulio Sandini, Lola Cañamero, Alessandra Sciutti:
A Socially Adaptable Framework for Human-Robot Interaction. - Ivan Nazarov, Evgeny Burnaev:
Bayesian Sparsification Methods for Deep Complex-valued Networks. - Changjoo Nam, Jinhwi Lee, SangHun Cheong, Brian Y. Cho, Chang-Hwan Kim:
Fast and resilient manipulation planning for target retrieval in clutter. - Hamidreza Ehteram, Mohammad Taha Toghani, Mohammad Ali Maddah-Ali:
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain. - Trenton Schulz, Jo Herstad, Harald Holone:
Privacy at Home: an Inquiry into Sensors and Robots for the Stay at Home Elderly. - Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari:
Preferential Batch Bayesian Optimization. - Trenton Schulz, Patrick Holthaus, Farshid Amirabdollahian, Kheng Lee Koay, Jim Tørresen, Jo Herstad:
Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. - Noemi Mauro, Liliana Ardissono, Zhongli Filippo Hu:
Multi-faceted Trust-based Collaborative Filtering. - Dominik Bojko, Krzysztof Grining, Marek Klonowski:
Probabilistic Counters for Privacy Preserving Data Aggregation. - Xiaoming Sun, Jialin Zhang, Zhijie Zhang:
Tight Algorithms for the Submodular Multiple Knapsack Problem. - Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel:
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. - Ralf Möller:
Derivation of Coupled PCA and SVD Learning Rules from a Newton Zero-Finding Framework. - Denis Kleyko, Ross W. Gayler, Evgeny Osipov:
Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol 4 Issue 30 (2019) 1-10. - Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung:
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines. - Shihao Xu, Jing Fang, Xiping Hu, Edith C. H. Ngai, Yi Guo, Victor C. M. Leung, Jun Cheng, Bin Hu:
Emotion Recognition From Gait Analyses: Current Research and Future Directions. - James S. Willis, Matthieu Schaller, Pedro Gonnet, John C. Helly:
A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find. - Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen:
PiP: Planning-informed Trajectory Prediction for Autonomous Driving. - Shibo Li, Wei W. Xing, Mike Kirby, Shandian Zhe:
Scalable Variational Gaussian Process Regression Networks. - Dhruti Dheda, Ling Cheng:
A multivariate water quality parameter prediction model using recurrent neural network. - Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou:
Similarity of Neural Networks with Gradients. - Matteo Saveriano, Dongheui Lee:
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems. - Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Not all domains are equally complex: Adaptive Multi-Domain Learning. - Mathieu Baudet, George Danezis, Alberto Sonnino:
FastPay: High-Performance Byzantine Fault Tolerant Settlement. - Matteo Saveriano, Felix Franzel, Dongheui Lee:
Merging Position and Orientation Motion Primitives. - Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak:
Visual-Inertial Telepresence for Aerial Manipulation. - Hyunghoon Cho, Daphne Ippolito, Yun William Yu:
Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs. - Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter:
Improved Techniques for Training Single-Image GANs. - Vo Anh Khoa, Grant W. Bidney, Michael V. Klibanov, Loc H. Nguyen, Lam H. Nguyen, Anders J. Sullivan, Vasily N. Astratov:
Convexification and experimental data for a 3D inverse scattering problem with the moving point source. - Javad Sharafi, Abbas Maarefparvar:
Robustness Analysis of the Data-Selective Volterra NLMS Algorithm. - Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew B. A. McDermott, Marzyeh Ghassemi:
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings. - Changyu Miao, Zhen Cao, Yik-Cheung Tam:
Keyword-Attentive Deep Semantic Matching. - (Withdrawn) From Algebraic Word Problem to Program: A Formalized Approach.
- Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. - Eduardo Mizraji:
Vector logic and counterfactuals. - Radomir Popovic, Florian Lemmerich, Markus Strohmaier:
Joint Multiclass Debiasing of Word Embeddings. - Xixi Zhou, Chengxi Li, Jiajun Bu, Chengwei Yao, Keyue Shi, Zhi Yu, Zhou Yu:
Matching Text with Deep Mutual Information Estimation. - Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury:
Utilizing Deep Learning to Identify Drug Use on Twitter Data. - Alp Öktem, Mirko Plitt, Grace Tang:
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response. - Abdullah Khanfor, Hakim Ghazzai, Ye Yang, Mohammad Rafiqul Haider, Yehia Massoud:
Automated Service Discovery for Social Internet-of-Things Systems. - Clément Laroche:
An Implicit Representation of Swept Volumes based on Local Shapes and Movements. - Jinyi Hu, Maosong Sun:
Generating Major Types of Chinese Classical Poetry in a Uniformed Framework. - Iroro Orife, Julia Kreutzer, Blessing K. Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Z. Abbott, Vukosi Marivate, Salomon Kabongo, Musie Meressa, Espoir Murhabazi, Orevaoghene Ahia, Elan Van Biljon, Arshath Ramkilowan, Adewale Akinfaderin, Alp Öktem, Wole Akin, Ghollah Kioko, Kevin Degila, Herman Kamper, Bonaventure Dossou, Chris Emezue, Kelechi Ogueji, Abdallah Bashir:
Masakhane - Machine Translation For Africa. - Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. - Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul:
The Medical Scribe: Corpus Development and Model Performance Analyses. - Brais Martínez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos:
Training Binary Neural Networks with Real-to-Binary Convolutions. - Carmen Bisogni, Michele Nappi, Chiara Pero, Stefano Ricciardi:
HP2IFS: Head Pose estimation exploiting Partitioned Iterated Function Systems. - Mourad El Ouali, Volkmar Sauerland:
The Exact Query Complexity of Yes-No Permutation Mastermind. - Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola:
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? - Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. - Nicole Mariah Sharon Belvisi, Naveed Muhammad, Fernando Alonso-Fernandez:
Forensic Authorship Analysis of Microblogging Texts Using N-Grams and Stylometric Features. - Giovanni Micale, Vincenzo Bonnici, Alfredo Ferro, Dennis E. Shasha, Rosalba Giugno, Alfredo Pulvirenti:
MultiRI: Fast Subgraph Matching in Labeled Multigraphs. - Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong:
A Survey on Trajectory Data Management, Analytics, and Learning. - Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo:
Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data. - Abhilash Jain, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
Finnish Language Modeling with Deep Transformer Models. - Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle:
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data. - Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok:
Interval Neural Networks: Uncertainty Scores. - Pei Yang, Dongning Guo, Hongwen Yang:
Massive Access in Multi-cell Wireless Networks Using Reed-Muller Codes. - Wei Sun, Tianfu Wu:
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis. - Hampei Sasahara, Serkan Saritas, Henrik Sandberg:
Asymptotic Security of Control Systems by Covert Reaction: Repeated Signaling Game with Undisclosed Belief. - Chuan Lei, Rana Alotaibi, Abdul Quamar, Vasilis Efthymiou, Fatma Özcan:
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs. - Mine Sarac Stroppa:
Design, Implementation and Control of an Underactuated Hand Exoskeleton. - Timothy M. Chan, Qizheng He, Yakov Nekrich:
Further Results on Colored Range Searching. - Marius Jahrens, Thomas Martinetz:
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks. - Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang:
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. - Aneesh Raghavan, John S. Baras:
Cooperative Hypothesis Testing by Two Observers with Asymmetric Information. - Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. - Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. - Christopher Snyder, Sriram Vishwanath:
Deep Networks as Logical Circuits: Generalization and Interpretation. - Constanza Fierro, Jorge Pérez, Javier Mora:
Predicting Unplanned Readmissions with Highly Unstructured Data. - Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Utilizing Differential Evolution into optimizing targeted cancer treatments. - Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Novelty search employed into the development of cancer treatment simulations. - Xiaodong Wu, Weizhe Lin, Zhilin Wang, Elena Rastorgueva:
Author2Vec: A Framework for Generating User Embedding. - Eneko Osaba, Javier Del Ser, Xin-She Yang, Andrés Iglesias, Akemi Gálvez:
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking. - Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite:
RelatIF: Identifying Explanatory Training Examples via Relative Influence. - Jasper De Bock:
Choice functions based on sets of strict partial orders: an axiomatic characterisation. - Andrea Gayon-Lombardo, Lukas Mosser, Nigel P. Brandon, Samuel J. Cooper:
Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks. - Himan Abdollahpouri, Robin Burke, Masoud Mansoury:
Unfair Exposure of Artists in Music Recommendation. - Pravin S. Game, Vinod Vaze, Emmanuel M:
Bio-inspired Optimization: metaheuristic algorithms for optimization. - Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi:
Metaplasticity in Multistate Memristor Synaptic Networks. - Clemens J. S. Schaefer, Patrick Faley, Emre O. Neftci, Siddharth Joshi:
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators. - Anthony Strock, Nicolas P. Rougier, Xavier Hinaut:
Transfer between long-term and short-term memory using Conceptors. - Rafet Durgut:
Improved Binary Artificial Bee Colony Algorithm. - Jordan Ott:
Giving Up Control: Neurons as Reinforcement Learning Agents. - Sairamvinay Vijayaraghavan, Debraj Basu:
Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms. - Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu:
Multi-Label Text Classification using Attention-based Graph Neural Network. - Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks. - Shayan Aziznejad, Julien Fageot:
Wavelet Compressibility of Compound Poisson Processes. - Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu:
Deep Grouping Model for Unified Perceptual Parsing. - Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier:
Overview of the TREC 2019 Fair Ranking Track. - Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. - Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. - Yang Zheng, Eli Shlizerman:
R-FORCE: Robust Learning for Random Recurrent Neural Networks. - Zeyuan Jin, Mohammad Khajenejad, Sze Zheng Yong:
Data-Driven Model Invalidation for Unknown Lipschitz Continuous Systems via Abstraction. - Arash Atashpendar:
From Information Theory Puzzles in Deletion Channels to Deniability in Quantum Cryptography. - Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster:
Pipelined Backpropagation at Scale: Training Large Models without Batches. - Zhen Yu Ding:
Patch Quality and Diversity of Invariant-Guided Search-Based Program Repair. - Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis:
DeepStrip: High Resolution Boundary Refinement. - Ece C. Mutlu, Ivan Garibay:
The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks. - Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. - Jianxiong Guo, Tiantian Chen, Weili Wu:
Continuous Activity Maximization in Online Social Networks. - Yi-Jin Pan, Huilin Jiang, Huiling Zhu, Jiangzhou Wang:
Latency Minimization for Task Offloading in Hierarchical Fog-Computing C-RAN Networks. - Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala:
Common-Knowledge Concept Recognition for SEVA. - Lukas Westhofen, Philipp Berger, Joost-Pieter Katoen:
Benchmarking Software Model Checkers on Automotive Code. - Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. - Aneesh Raghavan, John S. Baras:
Order Effects of Measurements in Multi-Agent Hypothesis Testing. - Jonathan Scarlett, Albert Guillén i Fàbregas, Anelia Somekh-Baruch, Alfonso Martinez:
Information-Theoretic Foundations of Mismatched Decoding. - Wenyu Zhang, Skyler Seto, Devesh K. Jha:
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. - Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa, Kazuyuki Nagata, Weiwei Wan, Kensuke Harada:
Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands. - Rasool Ameri, Saideh Ferdowsi, Ali Alameer, Vahid Abolghasemi, Kianoush Nazarpour:
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning. - Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine:
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. - Mehrzad Saremi:
A Critique on the Interventional Detection of Causal Relationships. - Hao Chen, Juncheng Li, Weiwei Wan, Zhifeng Huang, Kensuke Harada:
Integrating Combined Task and Motion Planning with Compliant Control. - Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm. - Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan:
Mask Encoding for Single Shot Instance Segmentation. - Shirantha Welikala, Christos G. Cassandras:
Event-Driven Receding Horizon Control For Distributed Persistent Monitoring on Graphs. - Qingqing Wu, Guangchi Zhang, Derrick Wing Kwan Ng, Wen Chen, Robert Schober:
Generalized Wireless-Powered Communications: When to Activate Wireless Power Transfer? - Masahito Hayashi, Masaki Owari, Go Kato, Ning Cai:
Reduction Theorem for Secrecy over Linear Network Code for Active Attacks. - Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang:
Unsupervised domain adaptation with exploring more statistics and discriminative information. - Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho:
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. - Michel Duprez, Vanessa Lleras, Alexei Lozinski:
φ-FEM, a finite element method on domains defined by level-sets: the Neumann boundary case. - Xiaoye Sun, Gongyan Li, Shaoyun Xu:
Fastidious Attention Network for Navel Orange Segmentation. - Ujjwal Gupta, Manoj Babu, Raid Ayoub, Michael Kishinevsky, Francesco Paterna, Suat Gumussoy, Ümit Y. Ogras:
An Online Learning Methodology for Performance Modeling of Graphics Processors. - Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. - Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou, Natalia Díaz Rodríguez:
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models. - Yana Samuel, Jean George, Jim Samuel:
Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, Women. - Quanzeng You, Hao Jiang:
Real-time 3D Deep Multi-Camera Tracking. - Maithra Raghu, Eric Schmidt:
A Survey of Deep Learning for Scientific Discovery. - Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan:
The 1st Challenge on Remote Physiological Signal Sensing (RePSS). - Haochuan Zhang, Qiuyun Zou:
Symbol Detection for Massive MIMO AF Relays Using Approximate Bayesian Inference. - Xiaoxiong Zhong, Li Li, Yuanping Zhang, Bin Zhang, Weizhe Zhang, Tingting Yang:
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks. - Dmitriy Zhuk:
No-Rainbow Problem is NP-Hard. - Sai Krishna Bashetty, Heni Ben Amor, Georgios Fainekos:
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems. - (Withdrawn) On-the-Fly Adaptation of Source Code Models using Meta-Learning.
- Thomas Durieux, Claire Le Goues, Michael Hilton, Rui Abreu:
Empirical Study of Restarted and Flaky Builds on Travis CI. - Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy:
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space. - Yasuaki Kobayashi:
On Structural Parameterizations of Node Kayles. - Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. - Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi:
Hypernetwork Science: From Multidimensional Networks to Computational Topology. - Yue Feng, Wenfan Yi:
Uniform error bounds of an exponential wave integrator for the long-time dynamics of the nonlinear Klein-Gordon equation. - Ziang Liu, Dongrui Wu:
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression. - Vitor Enes, Carlos Baquero, Tuanir França Rezende, Alexey Gotsman, Matthieu Perrin, Pierre Sutra:
State-Machine Replication for Planet-Scale Systems (Extended Version). - Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Compact Deep Aggregation for Set Retrieval. - Yujie Liu, Junping Wang:
A Primal-Dual Weak Galerkin Method for Div-Curl Systems with low-regularity solutions. - Kai Qiao, Chi Zhang, Jian Chen, Linyuan Wang, Li Tong, Bin Yan:
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features. - Matteo Saveriano, Dongheui Lee:
Incremental Skill Learning of Stable Dynamical Systems. - Lia Strenge, Xiaohan Jing, Ruth Boersma, Paul Schultz, Frank Hellmann, Jürgen Kurths, Jörg Raisch, Thomas Seel:
Iterative learning control in prosumer-based microgrids with hierarchical control. - Ami Sakakibara, Toshimitsu Ushio:
On-Line Permissive Supervisory Control of Discrete Event Systems for scLTL Specifications. - Kun Li, Shengling Wang, Xiuzhen Cheng, Qin Hu:
A Misreport- and Collusion-Proof Crowdsourcing Mechanism without Quality Verification. - Zain Khan, Jirong Yi, Raghu Mudumbai, Xiaodong Wu, Weiyu Xu:
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks. - Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. - Zhaopei Gong, Liang Ding, Shaozhen Li, Honghao Yue, Haibo Gao, Zongquan Deng:
Payload-agnostic Decoupling and Hybrid Vibration Isolation Control for a Maglev Platform with Redundant Actuation. - Thomas Ziegler, Judith Bütepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic:
Fashion Landmark Detection and Category Classification for Robotics. - Robert Sicks, Ralf Korn, Stefanie Schwaar:
A lower bound for the ELBO of the Bernoulli Variational Autoencoder. - Giulio Ermanno Pibiri, Rossano Venturini:
Succinct Dynamic Ordered Sets with Random Access. - Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li:
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. - Florian Kammüller, Manfred Kerber:
Applying the Isabelle Insider Framework to Airplane Security. - James Houston, Frank G. Glavin, Michael G. Madden:
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis. - Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. - Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu:
Instance Credibility Inference for Few-Shot Learning. - Bowen Zhang, Benedetta Tondi, Mauro Barni:
On the adversarial robustness of DNNs based on error correcting output codes. - Michal Feldman, Galia Shabtai:
Simultaneous 2nd Price Item Auctions with No-Underbidding. - Rachel Minster, Arvind K. Saibaba, Jishnudeep Kar, Aranya Chakrabortty:
Efficient Randomized Algorithms for Subspace System Identification. - Trenton Schulz, Kristin Skeide Fuglerud:
Creating Personas with Disabilities. - Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester:
An empirical investigation of the challenges of real-world reinforcement learning. - Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Wenqi Ren:
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. - Boris Aronov, Jean Cardinal:
Geometric Pattern Matching Reduces to k-SUM. - Hardi M. Mohammed, Tarik A. Rashid:
A Novel Hybrid GWO with WOA for Global Numerical Optimization and Solving Pressure Vessel Design. - Rafal Skinderowicz:
Implementing a GPU-based parallel MAX-MIN Ant System. - Anika Schwind, Florian Wamser, Tobias Hoßfeld, Stefan Wunderer, Erik Tärnvik, Andy Hall:
Crowdsourced Network Measurements in Germany: Mobile Internet Experience from End User Perspective. - Xianbin Lv, Dongxian Wu, Shu-Tao Xia:
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels. - Alessandro Cossard, Gianmarco De Francisci Morales, Kyriaki Kalimeri, Yelena Mejova, Daniela Paolotti, Michele Starnini:
Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter. - Ramiro dell'Erba:
Position based dynamic of a particle system: a configurable algorithm to describe complex behaviour of continuum material starting from swarm robotics. - Dimitris G. Giovanis, Michael D. Shields:
Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold. - Jiani Li, Xenofon D. Koutsoukos:
Resilient Distributed Diffusion for Multi-task Estimation. - Han Gao, Jian-Xun Wang:
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems. - Nir Goren, Dan Halperin, Sivan Toledo:
Geometric Sparsification of Closeness Relations: Eigenvalue Clustering for Computing Matrix Functions. - Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck:
robROSE: A robust approach for dealing with imbalanced data in fraud detection. - Cameron Buckner:
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning. - Patrick Hart, Alois C. Knoll:
Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving. - Marco Baroni:
Rat big, cat eaten! Ideas for a useful deep-agent protolanguage. - Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia:
Zero-Assignment Constraint for Graph Matching with Outliers. - Yadong Zhang, Xin Chen:
Triad State Space Construction for Chaotic Signal Classification with Deep Learning. - Stefanos Baros, Christoforos N. Hadjicostis, Francis O'Sullivan:
Stability Analysis of Droop-Controlled Inverter-Based Power Grids via Timescale Separation. - Kalika Prasad, Hrishikesh Mahato:
Cryptography using generalized Fibonacci matrices with Affine-Hill cipher. - Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. - Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Wen-Ji Zhou, Qing Da, Anxiang Zeng, Yang Yu:
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. - Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto:
Towards Backward-Compatible Representation Learning. - Mario Ullrich:
On the worst-case error of least squares algorithms for L2-approximation with high probability. - Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than:
Bag of biterms modeling for short texts. - Julian Risch, Ralf Krestel:
Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. - Amir Saberi, Farhad Farokhi, Girish N. Nair:
Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. - Sabine Wieluch, Friedhelm Schwenker:
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers. - Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat, Charles W. Fox:
Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour. - Hannes Vandecasteele, Giovanni Samaey:
A micro-macro Markov chain Monte Carlo method for molecular dynamics using reaction coordinate proposals II: indirect reconstruction. - Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke:
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. - Weilin Zheng, Zibin Zheng, Hong-Ning Dai, Xu Chen, Peilin Zheng:
XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO. - Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. - Aris Filos-Ratsikas, Alexandros Hollender, Katerina Sotiraki, Manolis Zampetakis:
A Topological Characterization of Modulo-p Arguments and Implications for Necklace Splitting. - Sven Schewe:
Minimising Good-for-Games automata is NP complete. - Naci Saldi, Tamer Basar, Maxim Raginsky:
Partially Observed Discrete-Time Risk-Sensitive Mean Field Games. - Yannik Löhr, Daniel Wolf, Clemens Pollerberg, Alexander Hörsting, Martin Mönnigmann:
Supervisory model predictive control for PV battery and heat pump system with phase change slurry thermal storage. - Hua Sun:
Secure Groupcast with Shared Keys. - Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis:
Accelerated Analog Neuromorphic Computing. - Eric Barszcz:
A Blind Permutation Similarity Algorithm. - Patricia Cardoso, José Moura, Rui Marinheiro:
A Software-Defined Solution for Managing Fog Computing Resources in Sensor Networks. - Fabian Jaensch, Peter Jung:
Robust Recovery of Sparse Nonnegative Weights from Mixtures of Positive-Semidefinite Matrices. - Christof Beierle, Marcus Brinkmann, Gregor Leander:
Linearly Self-Equivalent APN Permutations in Small Dimension. - Dmitri Kuzmin, Manuel Quezada de Luna:
Algebraic entropy fixes and convex limiting for continuous finite element discretizations of scalar hyperbolic conservation laws. - Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta:
Obliviousness Makes Poisoning Adversaries Weaker. - Geoff French, Avital Oliver, Tim Salimans:
Milking CowMask for Semi-Supervised Image Classification. - Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang:
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting. - Gustavo A. Nunez Segura, Sotiris Skaperas, Arsenia Chorti, Lefteris Mamatas, Cíntia Borges Margi:
Denial of Service Attacks Detection in Software-Defined Wireless Sensor Networks. - Georg Grasegger, Jan Legerský:
FlexRiLoG - A SageMath Package for Motions of Graphs. - Miroslav Mitev, Arsenia Chorti, Elena Veronica Belmega, Martin J. Reed:
Man-in-the-Middle and Denial of Service Attacks in Wireless Secret Key Generation. - Zachary Teed, Jia Deng:
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. - Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang:
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images. - Marcos Baptista-Ríos, Roberto Javier López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol. - Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. - Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. - Ebrahim M. Kolahdouz, Amneet Pal Singh Bhalla, Brent A. Craven, Boyce E. Griffith:
An Immersed Lagrangian-Eulerian Method for Fluid-Structure Interaction. - Yuda Qiu, Zhangyang Xiong, Kai Han, Zhongyuan Wang, Zixiang Xiong, Xiaoguang Han:
Learning Inverse Rendering of Faces from Real-world Videos. - Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? - Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi:
Grounded Situation Recognition. - Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu:
Correspondence Networks with Adaptive Neighbourhood Consensus. - Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-shot Classification. - Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. - (Withdrawn) Local Facial Makeup Transfer via Disentangled Representation.
- Shaktinarayana Mishra, Lokanath Tripathy, Prachitara Satapathy, P. K. Dash, Nitasha Sahani:
An Efficient Machine Learning Approach for Accurate Short Term Solar Power Prediction. - Simone Göttlich, Elisa Iacomini, Thomas Jung:
Properties of the LWR model with time delay. - Jesmin Jahan Tithi, Sriram Aananthakrishnan, Fabrizio Petrini:
Online and Real-time Object Tracking Algorithm with Extremely Small Matrices. - Filipo Sharevski, Peter Jachim, Kevin Florek:
To Tweet or Not to Tweet: Covertly Manipulating a Twitter Debate on Vaccines Using Malware-Induced Misperceptions. - Alessandro Chiolerio, Andrew Adamatzky:
Tactile sensing and computing on a random network of conducting fluid channels. - Xiaodong Wei, Xin Li, Yongjie Jessica Zhang, Thomas J. R. Hughes:
Tuned Hybrid Non-Uniform Subdivision Surfaces with Optimal Convergence Rates. - Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Niloofar Tavakolian, Azadeh Nazemi, Donal Fitzpatrick:
Real-time information retrieval from Identity cards. - Anders Miltner, Saswat Padhi, Todd D. Millstein, David Walker:
Data-Driven Inference of Representation Invariants. - Lars Gottesbüren, Michael Hamann, Sebastian Schlag, Dorothea Wagner:
Advanced Flow-Based Multilevel Hypergraph Partitioning. - Bonaventure F. P. Dossou, Chris C. Emezue:
FFR V1.0: Fon-French Neural Machine Translation. - Kyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri, Chieko Asakawa:
Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective. - Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua:
SaccadeNet: A Fast and Accurate Object Detector. - Xavier-Lewis Palmer, Lucas Potter, Saltuk Karahan:
On the Emerging Area of Biocybersecurity and Relevant Considerations. - Alina Arseniev-Koehler, Jacob G. Foster:
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat. - Michael Lin, Richard J. La:
Miniature Robot Path Planning for Bridge Inspection: Min-Max Cycle Cover-Based Approach. - Trevor Tsue, Samir Sen, Jason Li:
Cycle Text-To-Image GAN with BERT. - Yunpeng Zhao, Mattia Prosperi, Tianchen Lyu, Yi Guo, Jiang Bian:
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets. - Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner:
MetNet: A Neural Weather Model for Precipitation Forecasting. - Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi:
Scalable Deployment of AI Time-series Models for IoT. - Peter Fang:
Coronavirus Geographic Dissemination at Chicago and its Potential Proximity to Public Commuter Rail. - William Chapin, Erik Komendera:
Metrics and Optimization of Internal Poses for Highly Redundant Truss-Like Serialized Parallel Manipulators. - Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan:
Knowledge Graph Alignment using String Edit Distance. - Joshua Moser, Julia Hoffman, Robert Hildebrand, Erik Komendera:
A Flexible Job Shop Scheduling Representation of the Autonomous In-Space Assembly Task Assignment Problem. - Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh:
A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference. - Shehryar Malik, Usman Anwar, Ali Ahmed, Alireza Aghasi:
Learning To Solve Differential Equations Across Initial Conditions. - Bernardo Pérez Orozco, Stephen J. Roberts:
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. - Yunhe Xie, Gregory C. Sharp, David P. Gierga, Theodore S. Hong, Thomas Bortfeld, Kongbin Kang:
An improved 3D region detection network: automated detection of the 12th thoracic vertebra in image guided radiation therapy. - Brian Reily, Christopher M. Reardon, Hao Zhang:
Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams. - Hannah Lu, Daniel M. Tartakovsky:
Dynamic Mode Decomposition for Construction of Reduced-Order Models of Hyperbolic Problems with Shocks. - Julian Theis, Houshang Darabi:
Adversarial System Variant Approximation to Quantify Process Model Generalization. - Mengyue Hang, Jennifer Neville, Bruno Ribeiro:
A Collective Learning Framework to Boost GNN Expressiveness. - Ben Usman, Nick Dufour, Avneesh Sud, Kate Saenko:
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. - Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Pan Hui:
A Survey on Edge Intelligence. - Eunjeong Koh, Fatemeh Saki, Yinyi Guo, Cheng-Yu Hung, Erik Visser:
Incremental Learning Algorithm for Sound Event Detection. - Guilherme S. Domingues, Cesar H. Comin, Luciano da F. Costa:
Shortest Paths in Complex Networks: Structure and Optimization. - Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. - Sathyanarayanan N. Aakur, Sudeep Sarkar:
Action Localization through Continual Predictive Learning. - Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Data-Driven Control of Complex Networks. - Nitasha Sahani, Manish Kumar Singh, Chen-Ching Liu:
Moving horizon-based optimal scheduling of EV charging: A power system-cognizant approach. - Etai Littwin, Tomer Galanti, Lior Wolf:
On the Optimization Dynamics of Wide Hypernetworks. - Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang:
Financial Time Series Representation Learning. - Joshua J. Engelsma, Anil K. Jain, Vishnu Naresh Boddeti:
HERS: Homomorphically Encrypted Representation Search. - Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. - Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu, Jinchang Luo, JiaWei He:
AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference. - Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle:
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). - Jacob Fustos, Heechul Yun:
SpectreRewind: A Framework for Leaking Secrets to Past Instructions. - Michael J. Coblenz, Jonathan Aldrich, Joshua Sunshine, Brad A. Myers:
An Empirical Study of Ownership, Typestate, and Assets in the Obsidian Smart Contract Language. - Shao-Bo Lin, Di Wang, Ding-Xuan Zhou:
Distributed Kernel Ridge Regression with Communications. - Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. - Heinrich Dinkel, Yefei Chen, Mengyue Wu, Kai Yu:
GPVAD: Towards noise robust voice activity detection via weakly supervised sound event detection. - Masahito Hayashi, Ning Cai:
Secure network code over one-hop relay network. - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification. - Masahito Hayashi, Ning Cai:
Asymptotically Secure Network Code for Active Attacks and its Application to Network Quantum Key Distribution. - Steven W. Gagniere, David A. B. Hyde, Alan Marquez-Razon, Chenfanfu Jiang, Ziheng Ge, Xuchen Han, Qi Guo, Joseph Teran:
A Hybrid Lagrangian/Eulerian Collocated Advection and Projection Method for Fluid Simulation. - Yutao Jiao, Ping Wang, Dusit Niyato, Bin Lin, Dong In Kim:
Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks. - Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner:
Learning to Optimize Non-Rigid Tracking. - Yanfang Ye, Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth A. Loparo:
α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19. - Fengxiang He, Bohan Wang, Dacheng Tao:
Piecewise linear activations substantially shape the loss surfaces of neural networks. - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian:
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. - Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. - Philip Amortila, Doina Precup, Prakash Panangaden, Marc G. Bellemare:
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms. - Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun:
Dynamic Region-Aware Convolution. - Hadi Mansourifar, Weidong Shi:
One-Shot GAN Generated Fake Face Detection. - Keigo Takeuchi:
Bayes-Optimal Convolutional AMP. - Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Incorporating Expert Prior in Bayesian Optimisation via Space Warping. - Sayed Amir Hoseini, Jahan Hassan, Ayub Bokani, Salil S. Kanhere:
Trajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs. - Thomas Courtat, Hélion du Mas des Bourboux:
A light neural network for modulation detection under impairments. - Munetaka Minoguchi, Ken Okayama, Yutaka Satoh, Hirokatsu Kataoka:
Weakly Supervised Dataset Collection for Robust Person Detection. - Alexander Schindler, Sergiu Gordea, Peter Knees:
Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text. - Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian:
Controllable Person Image Synthesis with Attribute-Decomposed GAN. - Robert D. Skeel, Jan L. Cieslinski:
On the famous unpublished preprint "Methods of integration which preserve the contact transformation property of the Hamilton equations" by René De Vogelaere. - Nicolás Robinson-García, Rodrigo Costas, Thed N. van Leeuwen:
State of Open Access penetration in universities worldwide. - Ami Sakakibara, Toshimitsu Ushio:
On-Line Synthesis of Permissive Supervisors for Partially Observed Discrete Event Systems under scLTL Constraints. - Negar Heidari, Alexandros Iosifidis:
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. - Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim:
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. - Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. - Qiupin Lai, Chengxi Liu, Kai Sun:
A Network Decoupling Method for Voltage Stability Analysis Based on Holomorphic Embedding. - Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic:
RANSAC-Based Signal Denoising Using Compressive Sensing. - Raffaele Marino, Scott Kirkpatrick:
Large independent sets on random d-regular graphs with d small. - Deli Yu, Xuan Li, Chengquan Zhang, Junyu Han, Jingtuo Liu, Errui Ding:
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks. - Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization. - Elena Voita, Ivan Titov:
Information-Theoretic Probing with Minimum Description Length. - Youngjae Yu, Seunghwan Lee, Yuncheol Choi, Gunhee Kim:
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data. - Daniel S. Hain, Roman Jurowetzki, Tobias Buchmann, Patrick Wolf:
Text-based Technological Signatures and Similarities: How to create them and what to do with them. - Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang:
Lightweight Photometric Stereo for Facial Details Recovery. - Alexandr Polujan, Alexander Pott:
On design-theoretic aspects of Boolean and vectorial bent functions. - Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu:
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. - Michael B. Mayhew, Elizabeth Tran, Kirindi Choi, Uros Midic, Roland Lüthy, Nandita Damaraju, Ljubomir J. Buturovic:
Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital mortality. - Sai Kireet Patri, Elena Grigoreva, Wolfgang Kellerer, Carmen Mas Machuca:
Rational Agent-Based Decision Algorithm for Strategic Converged Network Migration Planning. - Yusuke Kubo, Yuto Komori, Toyonobu Okuyama, Hiroshi Tokieda:
A copula-based visualization technique for a neural network. - Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Boolean learning under noise-perturbations in hardware neural networks. - Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. - Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana:
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. - Linus Roepert, Markus Dahlmanns, Ina Berenice Fink, Jan Pennekamp, Martin Henze:
Assessing the Security of OPC UA Deployments. - Juil Sock, Pedro Castro, Anil Armagan, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects. - Andrzej Grzesik, Tereza Klimosová, Marcin Pilipczuk, Michal Pilipczuk:
Covering minimal separators and potential maximal cliques in Pt-free graphs. - Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi, Ahmad Nickabadi, Morteza Haghir Chehreghani:
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction. - Nuria Oliver, Emmanuel Letouzé, Harald Sterly, Sébastien Delataille, Marco De Nadai, Bruno Lepri, Renaud Lambiotte, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N. Pham, Frédéric Pivetta, Albert Ali Salah, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, Patrick Vinck:
Mobile phone data and COVID-19: Missing an opportunity? - Ester Gonzalez-Sosa, Pablo Pérez, Ruben Tolosana, Redouane Kachach, Álvaro Villegas:
Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database with Automatic Labelling. - Naoya Arakawa:
Planning with Brain-inspired AI. - Suat Gumussoy, Wim Michiels:
Tuning an H-Infinity Controller with a Given Order and a Structure for Interconnected Systems with Delays. - Elmehdi Illi, Faissal El Bouanani, Fouad Ayoub, Mohamed-Slim Alouini:
A PHY Layer Security Analysis of a Hybrid High Throughput Satellite with an Optical Feeder Link. - Kun Cheng, Yuan Zhou, Bihuan Chen, Rui Wang, Yuebin Bai, Yang Liu:
Guardauto: A Decentralized Runtime Protection System for Autonomous Driving. - Timothy Kieras, Muhammad Junaid Farooq, Quanyan Zhu:
Modeling and Assessment of IoT Supply Chain Security Risks: The Role of Structural and Parametric Uncertainties. - Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit Ahmet Çamtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal:
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? - Michal Jureczka, Anna Ochal, Weimin Han:
Solving Quasistatic Contact Problems Using Nonsmooth Optimization Approach. - Janick Thomas Gerstenberger, Samuel Burbulla, Dietmar Kröner:
Discontinuous Galerkin method for incompressible two-phase flows. - Bryan Ford:
Democratic Value and Money for Decentralized Digital Society. - Charles Aguiar, Daniel F. Leite:
Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering. - Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
PyMatting: A Python Library for Alpha Matting. - W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer, F. A. H. van Harmelen:
End-to-End Entity Classification on Multimodal Knowledge Graphs. - Seyedeh Faezeh Farahbakhshian, Milad Taleby Ahvanooey:
A New Gene Selection Algorithm using Fuzzy-Rough Set Theory for Tumor Classification. - Felix S. Schranner, Alireza Abassi Misheni, Jork Warnecke:
Deriving a representative variant for the functional safety development according to ISO 26262. - Bryan Ford:
A Liquid Perspective on Democratic Choice. - Aoqian Zhang, Shaoxu Song, Jianmin Wang, Philip S. Yu:
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report). - Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner:
Modeling 3D Shapes by Reinforcement Learning. - José André R. S. Moura, David Hutchison:
Modeling Cooperation for SDN and NFV-Based Resilient Cyber-Physical Systems. - Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Learning representations in Bayesian Confidence Propagation neural networks. - Vlad-Florin Dragoi, Simon Robin Cowell, Valeriu Beiu:
Tight Bounds on the Coeffcients of Consecutive k-out-of-n: F Systems. - Andreas A. Buchheit, Torsten Keßler:
Singular Euler-Maclaurin expansion. - Naeimeh Omidvar, Mohammad Ali Maddah-Ali, Hamed Mahdavi:
A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate. - Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. - Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin:
A General Approach for Using Deep Neural Network for Digital Watermarking. - Jiawei Wu, Jianxue Li, Yang Xiao, Jun Liu:
Towards Cognitive Routing based on Deep Reinforcement Learning. - Dmytro Antypov, Argyrios Deligkas, Vladimir V. Gusev, Matthew J. Rosseinsky, Paul G. Spirakis, Michail Theofilatos:
Crystal Structure Prediction via Oblivious Local Search. - Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Workload-Aware DRAM Error Prediction using Machine Learning. - Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott:
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA. - Wuraola Fisayo Oyewusi, Olubayo Adekanmbi, Olalekan Akinsande:
Semantic Enrichment of Nigerian Pidgin English for Contextual Sentiment Classification. - Jack West, Neil Klingensmith, George K. Thiruvathukal:
FLIC: A Distributed Fog Cache for City-Scale Applications. - Timothy Marrinan, Pierre-Antoine Absil, Nicolas Gillis:
On a minimum enclosing ball of a collection of linear subspaces. - Nimrod Gilboa Markevich, Avishai Wool:
Hardware Fingerprinting for the ARINC 429 Avionic Bus. - Federico Della Croce:
An enhanced pinwheel algorithm for the bamboo garden trimming problem. - Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh:
TextCaps: a Dataset for Image Captioning with Reading Comprehension. - José Claudio Vieira S. Junior, Matheus F. Torquato, Toktam Mahmoodi, Mischa Dohler, Marcelo A. C. Fernandes:
Reconfigurable Computing Applied to Latency Reduction for the Tactile Internet. - Jianyu Chen, Zhuo Xu, Masayoshi Tomizuka:
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning. - Vincent Neiger, Johan Rosenkilde, Grigory Solomatov:
Generic bivariate multi-point evaluation, interpolation and modular composition with precomputation. - Steven Elsworth, Stefan Güttel:
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series. - George Kappos, Haaroon Yousaf, Ania M. Piotrowska, Sanket Kanjalkar, Sergi Delgado-Segura, Andrew Miller, Sarah Meiklejohn:
An Empirical Analysis of Privacy in the Lightning Network. - Ignacio Torroba, Nils Bore, John Folkesson:
Towards Autonomous Industrial-Scale Bathymetric Surveying. - Sebastiaan P. Huber, Spyros Zoupanos, Martin Uhrin, Leopold Talirz, Leonid Kahle, Rico Häuselmann, Dominik Gresch, Tiziano Müller, Aliaksandr V. Yakutovich, Casper W. Andersen, Francisco F. Ramirez, Carl S. Adorf, Fernando Gargiulo, Snehal Kumbhar, Elsa Passaro, Conrad Johnston, Andrius Merkys, Andrea Cepellotti, Nicolas Mounet, Nicola Marzari, Boris Kozinsky, Giovanni Pizzi:
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance. - Jan Baumeister, Bernd Finkbeiner, Maximilian Schwenger, Hazem Torfah:
FPGA Stream-Monitoring of Real-time Properties. - Qianlin Liang, Prashant J. Shenoy, David E. Irwin:
AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures. - François Rodier:
Non-linearity of the Carlet-Feng function, and repartition of Gauss sums. - Henrik Detjen, Stefan Geisler, Stefan Schneegass:
Maneuver-based Driving for Intervention in Autonomous Cars. - Nassim Guerraiche:
A new method for the computation of eigenvalues. - Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo:
Hybrid Models for Open Set Recognition. - Romit S. Beed, Sunita Sarkar, Arindam Roy:
Bayesian Hierarchical Multi-Objective Optimization for Vehicle Parking Route Discovery. - Tai-Yin Chiu, Yinan Zhao, Danna Gurari:
Assessing Image Quality Issues for Real-World Problems. - Jichao Li, Yian Yin, Santo Fortunato, Dashun Wang:
Scientific elite revisited: Patterns of productivity, collaboration, authorship and impact. - Marco Mirabilio, Alessio Iovine, Elena De Santis, Maria Domenica Di Benedetto, Giordano Pola:
On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon. - Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. - Renata Pelissari, Leonardo Tomazeli Duarte:
Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. - Maaike Zwart, Dan Marsden:
No-Go Theorems for Distributive Laws. - Andreas Kirsch, Clare Lyle, Yarin Gal:
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning. - Ali Reza Pedram, Takashi Tanaka:
Closed-loop Parameter Identification of Linear Dynamical Systems through the Lens of Feedback Channel Coding Theory. - Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy:
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. - Sarthak J. Shetty, Rahul Ravichandran, Lima Agnel Tony, N. Sai Abhinay, Kaushik Das, Debasish Ghose:
Implementation of Survivor Detection Strategies Using Drones. - Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan:
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. - Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. - Md. Shamim Hussain:
An Improved Physics Based Numerical Model of Tunnel FET Using 2D NEGF Formalism. - Kazuaki Takeuchi, Yoichi Yamazaki, Kentaro Yoshifuji:
Avatar Work: Telework for Disabled People Unable to Go Outside by Using Avatar Robots "OriHime-D" and Its Verification. - Yuhao Zhou, Bei Zhang, Chunlei Xu, Tu Lan, Ruisheng Diao, Di Shi, Zhiwei Wang, Wei-Jen Lee:
Deriving Fast AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation. - Nozer D. Singpurwalla:
Adversarial Stress Testing of Lifetime Distributions. - Martin Grohe:
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data. - Muhamad Felemban, Anas Daghistani, Yahya Javed, Jason Kobes, Arif Ghafoor:
A Security and Performance Driven Architecture for Cloud Data Centers. - Sharad Joshi, Suraj Saxena, Nitin Khanna:
Source Printer Identification from Document Images Acquired using Smartphone. - Tomás Alves, Samuel Gomes, João Dias, Carlos Martinho:
The Influence of Reward on the Social Valence of Interactions. - Emilie Frost, Eric M. S. P. Veith, Lars Fischer:
Robust and Deterministic Scheduling of Power Grid Actors. - Zhiqiang Sui, Haonan Chang, Ning Xu, Odest Chadwicke Jenkins:
GeoFusion: Geometric Consistency informed Scene Estimation in Dense Clutter. - Angelo Antonio Salatino, Francesco Osborne, Enrico Motta:
Ontology Extraction and Usage in the Scholarly Knowledge Domain. - Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. - Kamran Chitsaz, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi, Shahram Shirani:
Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions. - Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. - Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Martin Redmann, Sebastian Riedel:
Runge-Kutta methods for rough differential equations. - Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
MCFlow: Monte Carlo Flow Models for Data Imputation. - Zhibin Gao, Minghui LiWang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang:
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks. - Tamzidul Hoque, Shuo Yang, Aritra Bhattacharyay, Jonathan Cruz, Swarup Bhunia:
An Automated Framework for Board-level Trojan Benchmarking. - Davis Gilton, Ruotian Luo, Rebecca Willett, Greg Shakhnarovich:
Detection and Description of Change in Visual Streams. - C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low rank representations for triangle-rich complex networks. - Vinicius G. Goecks, Grayson Woods, Niladri Das, John Valasek:
Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection. - Idan Achituve, Haggai Maron, Gal Chechik:
Self-Supervised Learning for Domain Adaptation on Point-Clouds. - Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David J. Kriegman, Ravi Ramamoorthi:
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images. - Graham D. Finlayson, Yuteng Zhu:
Designing Color Filters that Make Cameras MoreColorimetric. - Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. - Ghanem Meriem, Bouroubi Sadek:
An ideal hierarchical secret sharing scheme. - Orevaoghene Ahia, Kelechi Ogueji:
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin. - Cedric Münger, Steffen Börm, Jörg Ostrowski:
Dielectric breakdown prediction with GPU-accelerated BEM. - Pedro Cisneros-Velarde, Saber Jafarpour, Francesco Bullo:
Distributed and time-varying primal-dual dynamics via contraction analysis. - Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
GRATE: Granular Recovery of Aggregated Tensor Data by Example. - Phuong-Duy Nguyen, Long Bao Le:
Joint Computation Offloading, SFC Placement, and Resource Allocation for Multi-Site MEC Systems. - Amit P. S. Kohli, Vincent Sitzmann, Gordon Wetzstein:
Inferring Semantic Information with 3D Neural Scene Representations. - Michael V. Basin, Pablo Cesar Rodriguez-Ramirez:
Discussion of Three Examples to Recent Results of Finite- and Fixed-Time Convergent Algorithms. - Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson:
Sparse Matrix-Based HPC Tomography. - Fei Dong, Keyou You:
Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields. - Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Takuya Yoshioka:
Serialized Output Training for End-to-End Overlapped Speech Recognition. - Huizhu Pan, Jintao Song, Wanquan Liu, Ling Li, Guanglu Zhou, Lu Tan, Shichu Chen:
Using the Split Bregman Algorithm to Solve the Self-Repelling Snake Model. - Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville:
Countering Language Drift with Seeded Iterated Learning. - Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai:
Semantically Multi-modal Image Synthesis. - Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg:
Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images. - David Simchi-Levi, Yunzong Xu:
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. - Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu:
DaST: Data-free Substitute Training for Adversarial Attacks. - Rui Hu, Yuanxiong Guo, E. Paul Ratazzi, Yanmin Gong:
Differentially Private Federated Learning for Resource-Constrained Internet of Things. - Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. - Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She, Tony Q. S. Quek:
Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing. - Yaochen Zhu, Jiayi Xie, Zhenzhong Chen:
Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework. - Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. - Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie:
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. - Matias Martinez, Bruno Gois Mateus:
How and Why did developers migrate Android Applications from Java to Kotlin? A study based on code analysis and interviews with developers. - Dinuka Sahabandu, Andrew Clark, Linda Bushnell, Radha Poovendran:
Submodular Input Selection for Synchronization in Kuramoto Networks. - Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos:
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. - Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek:
Actor-Transformers for Group Activity Recognition. - Zhaojiang Lin, Genta Indra Winata, Peng Xu, Zihan Liu, Pascale Fung:
Variational Transformers for Diverse Response Generation. - Ozan Arkan Can, Ilker Kesen, Deniz Yuret:
BiLingUNet: Image Segmentation by Modulating Top-Down and Bottom-Up Visual Processing with Referring Expressions. - Tobias Hoßfeld, Poul E. Heegaard, Martín Varela, Lea Skorin-Kapov, Markus Fiedler:
From QoS Distributions to QoE Distributions: a System's Perspective. - Herman J. Haverkort:
Plane-filling trails. - Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han:
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images. - Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. - Navneet Pratap Singh, Kapil Ahuja:
Reusing Preconditioners in Projection based Model Order Reduction Algorithms. - Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu:
Adversarial Imitation Attack. - Ángel F. García-Fernández, Lennart Svensson, Jason L. Williams, Yuxuan Xia, Karl Granström:
Trajectory Poisson multi-Bernoulli filters. - Wenchao Du, Hu Chen, Hongyu Yang:
Learning Invariant Representation for Unsupervised Image Restoration. - Greg Baker, Tom Bridgwater, Paul Bremner, Manuel Giuliani:
Towards an immersive user interface for waypoint navigation of a mobile robot. - Abdulaziz Almehrej, Leo Freitas, Paolo Modesti:
Security Analysis of the Open Banking Account and Transaction API Protocol. - Mohammad Reza Zarrabi, Nasrollah Moghaddam Charkari:
Single-Point Visibility Constraint Minimum Link Paths in Simple Polygons. - Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue:
Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth. - Guangshuai Gao, Junyu Gao, Qingjie Liu, Qi Wang, Yunhong Wang:
CNN-based Density Estimation and Crowd Counting: A Survey. - Jean-Matthieu Gallard, Leonhard Rannabauer, Anne Reinarz, Michael Bader:
Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes. - Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, Qifeng Chen:
Polarized Reflection Removal with Perfect Alignment in the Wild. - Zhikun Chen, Daofeng Li, Ming Zhao, Sihai Zhang, Jinkang Zhu:
Semi-Federated Learning. - Anti Ingel, Novin Shahroudi, Markus Kängsepp, Andre Tättar, Viacheslav Komisarenko, Meelis Kull:
Correlated daily time series and forecasting in the M4 competition. - Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. - Petri-Johan Last, Herman A. Engelbrecht, Herman Kamper:
Unsupervised feature learning for speech using correspondence and Siamese networks. - Ata Deniz Aydin, Aurelian Gheondea:
Reproducing Kernel Hilbert Spaces Approximation Bounds. - Sihai Zhang, Junyao Guo, Tian Lan, Rui Sun, Jinkang Zhu:
Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users. - Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings:
Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning. - Min Shi, Yufei Tang, Xingquan Zhu:
Topology and Content Co-Alignment Graph Convolutional Learning. - Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jirí Navrátil, Darrell Reimer:
Towards Automating the AI Operations Lifecycle. - Martin Almquist, Eric M. Dunham:
Elastic wave propagation in anisotropic solids using energy-stable finite differences with weakly enforced boundary and interface conditions. - Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. - Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney:
Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs. - Abhishek Bichhawat, McKenna McCall, Limin Jia:
First-order Gradual Information Flow Types with Gradual Guarantees. - Hiroshi Kaizuka:
Gradient-based Data Augmentation for Semi-Supervised Learning. - Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri:
Learning medical triage from clinicians using Deep Q-Learning. - Cesar Aguado, J. Arturo Silva-Ordaz, Víctor M. Castaño:
Opioids for pain treatment of cancer: a knowledge maturity mapping. - Simone Fontana, Daniele Cattaneo, Augusto Luis Ballardini, Matteo Vaghi, Domenico Giorgio Sorrenti:
A Benchmark for Point Clouds Registration Algorithms. - Lorenzo Brigato, Luca Iocchi:
A Close Look at Deep Learning with Small Data. - Xiaoxiong Zhong, Xinghan Wang, Li Li, Yuanyuan Yang, Yang Qin, Tingting Yang, Bin Zhang, Weizhe Zhang:
A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective. - Anil Yaman, Giovanni Iacca:
Distributed Embodied Evolution in Networks of Agents. - Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-domain Detection via Graph-induced Prototype Alignment. - Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang:
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. - Stephan Hageboeck, Lorenzo Moneta:
Making RooFit Ready for Run 3. - Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. - Daniel Zhang, Colleen P. Bailey:
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping. - Chao Yang, Ser-Nam Lim:
One-Shot Domain Adaptation For Face Generation. - Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans:
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection. - Rudolf Berghammer, Steffen Börm, Michael Winter:
Algorithmic Counting of Zero-Dimensional Finite Topological Spaces With Respect to the Covering Dimension. - Yuche Chen, Guoyuan Wu, Ruixiao Sun, Abhishek Dubey, Aron Laszka, Philip Pugliese:
A Review and Outlook of Energy Consumption Estimation Models for Electric Vehicles. - Stephan Hageboeck:
A Faster, More Intuitive RooFit. - Alekh Agarwal, John Langford, Chen-Yu Wei:
Federated Residual Learning. - Amit Daniely:
Memorizing Gaussians with no over-parameterizaion via gradient decent on neural networks. - Julián Moreno Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodríguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza:
Orchestrating NLP Services for the Legal Domain. - Julian Schütte, Dennis Titze:
liOS: Lifting iOS apps for fun and profit. - Michael Soltys:
Cybersecurity in the AWS Cloud. - Marta Bílková, Sabine Frittella, Ondrej Majer, Sajad Nazari:
How to reason with inconsistent probabilistic information? - Andrew Warrington, Saeid Naderiparizi, Frank Wood:
Coping With Simulators That Don't Always Return. - Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. - Qiang Liu, Tao Han, Ephraim Moges:
EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. - Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas W. Reps:
A Dataset of Dockerfiles. - Syed Hashim Ali Shah, Sarankumar Balakrishnan, Liangxiao Xin, Mohamed Abouelseoud, Kazuyuki Sakoda, Ken Tanaka, Christopher Slezak, Sundeep Rangan, Shivendra S. Panwar:
Beamformed mmWave System Propagation at 60GHz in an Office Environment. - Shajulin Benedict, P. Rumaise, Jaspreet Kaur:
IoT Blockchain Solution for Air Quality Monitoring in SmartCities. - Christian Henkel, Marc Toussaint:
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent. - Fengting Yang, Qian Sun, Hailin Jin, Zihan Zhou:
Superpixel Segmentation with Fully Convolutional Networks. - Wenjun Zhou, Yuheng Deng, Bo Peng, Dong Liang, Shun'ichi Kaneko:
Co-occurrence Background Model with Superpixels for Robust Background Initialization. - Ankit Kumar, Piyush Makhija, Anuj Gupta:
User Generated Data: Achilles' heel of BERT. - Hongshan Li, Zhongyi Huang:
An iterative splitting method for pricing European options under the Heston model. - Mrinal Kumar, Ben Lee Volk:
A Polynomial Degree Bound on Defining Equations of Non-rigid Matrices and Small Linear Circuits. - Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-Label Prediction. - Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Mutual Learning Network for Multi-Source Domain Adaptation. - Yavuz Yaman, Predrag Spasojevic:
Analytical Framework of Beamwidth Selection for RT-ICM Millimeter-Wave Clusters. - Chongzhen Zhang, Jianrui Wang, Gary G. Yen, Chaoqiang Zhao, Qiyu Sun, Yang Tang, Feng Qian, Jürgen Kurths:
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey. - Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu:
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization. - Pankaj K. Sharma, Budharam Yogesh, Deepika Gupta, Dong In Kim:
Overlay Satellite-Terrestrial Networks for IoT under Hybrid Interference Environments. - Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu:
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. - Markus Stocker, Louise Darroch, Rolf Krahl, Ted Habermann, Anusuriya Devaraju, Ulrich Schwardmann, Claudio D'Onofrio, Ingemar Häggström:
Persistent Identification Of Instruments. - Abinash Pujahari, Dilip Singh Sisodia:
Clickbait Detection using Multiple Categorization Techniques. - Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao:
GPS-Net: Graph Property Sensing Network for Scene Graph Generation. - Pathmanathan Pankayaraj, D. H. S. Maithripala, Jordan M. Berg:
A Decentralized Policy with Logarithmic Regret for a Class of Multi-Agent Multi-Armed Bandit Problems with Option Unavailability Constraints and Stochastic Communication Protocols. - Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. - Abla Kammoun, Mohamed-Slim Alouini:
On the Precise Error Analysis of Support Vector Machines. - Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li:
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. - Xingkang He, Ehsan Hashemi, Karl Henrik Johansson:
Secure Platooning of Autonomous Vehicles Under Attacked GPS Data. - Lubin Chang:
SE(3) based Extended Kalman Filter for Spacecraft Attitude Estimation. - Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu:
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation. - Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu:
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. - Michele Bolognini, Lorenzo Fagiano:
LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment. - Andrej Bogdanov, Baoxiang Wang:
Learning and Testing Variable Partitions. - Igor Furtat:
Divergence Conditions for Investigation and Control of Nonautonomous Dynamical Systems. - Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. - Tobi Delbrück, Shih-Chii Liu:
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. - Li You, Jiayuan Xiong, Yufei Huang, Derrick Wing Kwan Ng, Cunhua Pan, Wenjin Wang, Xiqi Gao:
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission with Partial CSI. - Elena Leitner, Georg Rehm, Julián Moreno Schneider:
A Dataset of German Legal Documents for Named Entity Recognition. - Zehao Yu, Shenghua Gao:
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. - Haode Yan, Zhengchun Zhou:
Power Functions over Finite Fields with Low c-Differential Uniformity. - Ludwik Bukowski, Witold Dzwinel:
SuperNet - An efficient method of neural networks ensembling. - Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm:
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. - Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Junji Tomita:
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models. - Paulina Hurtado-Arenas, Miguel R. Guevara:
A bibliometric analysis of research based on the Roy Adaptation Model: a contribution to Nursing. - Sarah Schulz, Jurica Seva, Samuel Rodríguez, Malte Ostendorff, Georg Rehm:
Named Entities in Medical Case Reports: Corpus and Experiments. - Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie:
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds. - Brieuc Guinard, Amos Korman:
The Search Efficiency of Intermittent Lévy walks Optimally Scales with Target Size. - Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin:
Omni-sourced Webly-supervised Learning for Video Recognition. - Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu:
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing. - Henrik Detjen, Stefan Geisler, Stefan Schneegass:
Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior. - Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang:
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. - Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. - Maria Angelica Davila Guzman, Ruben Gran Tejero, María Villarroya-Gaudó, Darío Suárez Gracia:
Analytical Model of Memory-Bound Applications Compiled with High Level Synthesis. - Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee:
High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance. - Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. - Dorit Aharonov, Alex B. Grilo:
A combinatorial MA-complete problem. - Xi Xiong, Junyi Sha, Li Jin:
Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming. - Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl:
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. - Didem Demirag, Erman Ayday:
Tracking and Controlling the Spread of a Virus in a Privacy-Preserving Way. - Shafie Gholizadeh, Armin Seyeditabari, Wlodek Zadrozny:
A Novel Method of Extracting Topological Features from Word Embeddings. - Hao Xu, Paulo Valente Klaine, Oluwakayode Onireti, Bin Cao, Muhammad Imran, Lei Zhang:
Blockchain-enabled Resource Management and Sharing for 6G Communications. - Daniel Garijo, María Poveda-Villalón:
Best Practices for Implementing FAIR Vocabularies and Ontologies on the Web. - Yongyuan Liang, Bangwei Li:
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning. - Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering. - Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. - Grzegorz Dudek:
Are Direct Links Necessary in RVFL NNs for Regression? - Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung:
Efficient Noise-Blind 𝓁1-Regression of Nonnegative Compressible Signals. - David Caballero, Angel A. Cantu, Timothy Gomez, Austin Luchsinger, Robert T. Schweller, Tim Wylie:
Hardness of Reconfiguring Robot Swarms with Uniform External Control in Limited Directions. - Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. - Jinfei Liu:
Dealer: End-to-End Data Marketplace with Model-based Pricing. - Michal R. Przybylek:
On amenability of constraint satisfaction problems. - Xiaoliang Ju, Donghao Xu, Huijing Zhao:
Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization. - Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat:
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. - Saeede Fattahi-Bafghi, Zolfa Zeinalpour-Yazdi, Arash Asadi:
An Analytical Framework for mmWave-Enabled V2X Caching. - Alireza Mohammadshahi, James Henderson:
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement. - Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jiaqi Zhang, Peng Jiang, Lichao Nie, Qingmei Sui:
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. - Laura Arditti, Giacomo Como, Fabio Fagnani:
Graphical Games and Decomposition. - Laura Arditti, Giacomo Como, Fabio Fagnani:
Separable games. - Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu:
Learning Latent Causal Structures with a Redundant Input Neural Network. - Viktor Kocur, Milan Ftácnik:
Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement. - Shafie Gholizadeh, Ketki Savle, Armin Seyeditabari, Wlodek Zadrozny:
Topological Data Analysis in Text Classification: Extracting Features with Additive Information. - Jie Chen, Zhiheng Li, Jiebo Luo, Chenliang Xu:
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection. - Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz:
Can AI help in screening Viral and COVID-19 pneumonia? - Michael J. Sorocky, Siqi Zhou, Angela P. Schoellig:
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots. - Suman K. Bera, C. Seshadhri:
How the Degeneracy Helps for Triangle Counting in Graph Streams. - Ittai Abraham, Kartik Nayak, Ling Ren, Zhuolun Xiang:
Optimal Good-case Latency for Byzantine Broadcast and State Machine Replication. - Anna Kukleva, Makarand Tapaswi, Ivan Laptev:
Learning Interactions and Relationships between Movie Characters. - Tanel Tammet:
Extending Automated Deduction for Commonsense Reasoning. - Sheikh Ariful Islam, Love Kumar Sah, Srinivas Katkoori:
Analytical Estimation and Localization of Hardware Trojan Vulnerability in RTL Designs. - Balakumar Sundaralingam, Tucker Hermans:
In-Hand Object-Dynamics Inference using Tactile Fingertips. - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Space-Time-Aware Multi-Resolution Video Enhancement. - Pasquale Giampa, Massimiliano Dibitonto:
MIP An AI Distributed Architectural Model to Introduce Cognitive computing capabilities in Cyber Physical Systems (CPS). - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Tian:
Gradually Vanishing Bridge for Adversarial Domain Adaptation. - Rijad Alisic, Marco Molinari, Philip E. Paré, Henrik Sandberg:
Bounding Privacy Leakage in Smart Buildings. - Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu:
Incremental Learning In Online Scenario. - Haim Kaplan, Micha Sharir, Uri Stemmer:
How to Find a Point in the Convex Hull Privately. - Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. - Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu:
Density-Aware Graph for Deep Semi-Supervised Visual Recognition. - Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. - Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu:
Cross-Domain Document Object Detection: Benchmark Suite and Method. - Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang:
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. - Frank Nielsen:
A note on Onicescu's informational energy and correlation coefficient in exponential families. - Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang, Deyi Xiong:
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation. - Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. - Yuan Luo, Ya Xiao, Long Cheng, Guojun Peng, Danfeng Daphne Yao:
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities. - Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. - Shivam Agarwal, Siddarth Venkatraman:
Deep Residual Neural Networks for Image in Speech Steganography. - Nathan Dahlin, Rahul Jain:
Scheduling of Flexible Non-Preemptive Loads. - Mitchell D. Woodbright, Md Anisur Rahman, Md Zahidul Islam:
A Novel Incremental Clustering Technique with Concept Drift Detection. - Hrushikesh N. Mhaskar:
Kernel based analysis of massive data. - Hyunjong Park, Jongyoun Noh, Bumsub Ham:
Learning Memory-guided Normality for Anomaly Detection. - Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinhang Wu, Qiang Li, Keping Yang, Kenny Q. Zhu:
AliCoCo: Alibaba E-commerce Cognitive Concept Net. - Ziv Scully, Isaac Grosof, Mor Harchol-Balter:
Optimal Multiserver Scheduling with Unknown Job Sizes in Heavy Traffic. - Bastian Deutschmann, Javad Ghofrani, Dirk Reichelt:
Cognitive Production Systems: A Mapping Study. - Penny Labropoulou, Katerina Gkirtzou, Maria Gavrilidou, Miltos Deligiannis, Dimitrios Galanis, Stelios Piperidis, Georg Rehm, Maria Berger, Valérie Mapelli, Mickaël Rigault, Victoria Arranz, Khalid Choukri, Gerhard Backfried, José Manuél Gómez-Pérez, Andrés García-Silva:
Making Metadata Fit for Next Generation Language Technology Platforms: The Metadata Schema of the European Language Grid. - Rongchang Xie, Chunyu Wang, Yizhou Wang:
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation. - Jiaxu Miao, Yunchao Wei, Yi Yang:
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation. - Jianfei Yang, Han Zou, Yuxun Zhou, Lihua Xie:
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training. - Kyungho Joo, Wonsuk Choi, Dong Hoon Lee:
Hold the Door! Fingerprinting Your Car Key to Prevent Keyless Entry Car Theft. - Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution. - Tobias Glasmachers, Oswin Krause:
The Hessian Estimation Evolution Strategy. - Kihyun Kim, Insoon Yang:
Minimax control of ambiguous linear stochastic systems using the Wasserstein metric. - Pawel Szalachowski:
SmartCert: Redesigning Digital Certificates with Smart Contracts. - Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge. - Shaobo Min, Hantao Yao, Hongtao Xie, Chaoqun Wang, Zheng-Jun Zha, Yongdong Zhang:
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning. - Yingyi Zhang, Lin Zhang, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang:
Towards Palmprint Verification On Smartphones. - Jie Hu, Rongrong Ji, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao:
Architecture Disentanglement for Deep Neural Networks. - Roland Becker, Michael Innerberger, Dirk Praetorius:
Optimal convergence rates for goal-oriented FEM with quadratic goal functional. - Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang:
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition. - Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. - Mona Fuhrländer, Sebastian Schöps:
A Blackbox Yield Estimation Workflow with Gaussian Process Regression for Industrial Problems. - Sebastian Ratz, Marcin Dymczyk, Roland Siegwart, Renaud Dubé:
OneShot Global Localization: Instant LiDAR-Visual Pose Estimation. - Wolfgang Mulzer, Pavel Valtr:
Long Alternating Paths Exist. - Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. - Hanwen Kang, Chao Chen:
Real-time Fruit Recognition and Grasp Estimation for Autonomous Apple harvesting. - Razvan Andonie, Adrian-Catalin Florea:
Weighted Random Search for CNN Hyperparameter Optimization. - Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv:
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. - Yalin Liu, Hong-Ning Dai, Qubeijian Wang, Mahendra Kumar Shukla, Muhammad Imran:
Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges. - Klemens Esterle, Tobias Kessler, Alois C. Knoll:
Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation. - Wenbo Wang, Amir Leshem, Dusit Niyato, Zhu Han:
Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game. - Bennett Kleinberg, Bruno Verschuere:
How human judgment impairs automated deception detection performance. - Ivica Stipovic:
Analysis of an Extension Dynamic Name Service - A discussion on DNS compliance with RFC 6891. - Kai Niu, Yan Li:
Polar Coded Diversity on Block Fading Channels via Polar Spectrum. - Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab:
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. - Yongcan Shuang, Zhenzhou Wang:
Active stereo vision three-dimensional reconstruction by RGB dot pattern projection and ray intersection. - Leif Erik Andersson, Bart M. Doekemeijer, Daan C. van der Hoek, Jan-Willem van Wingerden, Lars Imsland:
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data. - Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier:
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation. - Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: a Neural GMM Network for Point Clouds. - Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. - Andrei Patrascu, Ciprian Paduraru, Paul Irofti:
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models. - S. Narges Mahdian Zadeh, Reza Ghasemi:
Fault tolerant controller design for a class of affine nonlinear systems based on adaptive virtual actuator. - Fabian Galetzka, Chukwuemeka Uchenna Eneh, David Schlangen:
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models. - Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. - Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell:
Agent57: Outperforming the Atari Human Benchmark. - Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera:
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports. - Tatsuya Ibuki, Sean Wilson, Aaron D. Ames, Magnus Egerstedt:
Distributed Collision-Free Motion Coordination on a Sphere: A Conic Control Barrier Function Approach. - Alberto Arturo Vergani, Christian Robert Huyck:
Critical Limits in a Bump Attractor Network of Spiking Neurons. - Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende:
Neural Communication Systems with Bandwidth-limited Channel. - Niloofar Bayat, Richard T. B. Ma, Vishal Misra, Dan Rubenstein:
Zero-Rating and Net Neutrality: Who Wins, Who Loses? - Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal:
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things. - Mengjiao Wang, Hikaru Ichijo, Bob Xiao:
Cryptocurrency Address Clustering and Labeling. - Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition using EMOTIC Dataset. - Thomas Roddick, Roberto Cipolla:
Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks. - Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang:
Secure Metric Learning via Differential Pairwise Privacy. - Timothy M. Chan, Qizheng He:
Faster Approximation Algorithms for Geometric Set Cover. - Jaime Spencer, Richard Bowden, Simon Hadfield:
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. - Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp:
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. - Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. - Daniel S. Hain, Roman Jurowetzki:
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians - A Hands-On Application in the Prediction of Breakthrough Patents. - Jaime Spencer, Richard Bowden, Simon Hadfield:
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. - Il-Myong Son, Son-Il Kwak, U. J. Han, J. H. Pak, M. Han, J. R. Pyon, U. S. Ryu:
A Novel Fuzzy Approximate Reasoning Method Based on Extended Distance Measure in SISO Fuzzy System. - Moran Feldman, Ashkan Norouzi-Fard, Ola Svensson, Rico Zenklusen:
The One-way Communication Complexity of Submodular Maximization with Applications to Streaming and Robustness. - Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Adaptive Personalized Federated Learning. - Michele Botti, Daniel Castanon Quiroz, Daniele A. Di Pietro, André Harnist:
A Hybrid High-Order method for creeping flows of non-Newtonian fluids. - Noemi Mauro, Liliana Ardissono:
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests. - Zi Jian Yew, Gim Hee Lee:
RPM-Net: Robust Point Matching using Learned Features. - Noemi Mauro, Liliana Ardissono, Adriano Savoca:
Concept-aware Geographic Information Retrieval. - Nikhil Churamani, Francisco Cruz, Sascha S. Griffiths, Pablo V. A. Barros:
iCub: Learning Emotion Expressions using Human Reward. - Lu Lv, Hai Jiang, Zhiguo Ding, Qiang Ye, Naofal Al-Dhahir, Jian Chen:
Intelligent Interference Engineering for Secure Non-Orthogonal Multiple Access. - Tianzhu Zhang, Leonardo Linguaglossa, Paolo Giaccone, Luigi Iannone, James Roberts:
Performance Benchmarking of State-of-the-Art Software Switches for NFV. - Balázs Nagy, Philipp Foehn, Davide Scaramuzza:
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO. - Franco Minucci, Evgenii Vinogradov, Sofie Pollin:
Avoiding collisions at any (low) cost: ADS-B like position broadcast for UAVs. - Mohamed Abdelhack:
A Comparison of Data Augmentation Techniques in Training Deep Neural Networks for Satellite Image Classification. - Takumi Nakane, Xuequan Lu, Chao Zhang:
SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm. - Sabah Al-Fedaghi, Hadeel Alnasser:
Modeling Network Security: Case Study of Email System. - Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao:
Human Motion Transfer with 3D Constraints and Detail Enhancement. - Kartik Gupta, Thalaiyasingam Ajanthan:
Improved Gradient based Adversarial Attacks for Quantized Networks. - Jason Breck, John Cyphert, Zachary Kincaid, Thomas W. Reps:
Templates and Recurrences: Better Together. - Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LayoutMP3D: Layout Annotation of Matterport3D. - Bell Raj Eapen, Norm Archer, Kamran Sartipi:
QRMine: A python package for triangulation in Grounded Theory. - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees. - Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher:
Improving out-of-distribution generalization via multi-task self-supervised pretraining. - Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. - Habtamu Fanta, Zhiwen Shao, Lizhuang Ma:
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection. - Zach J. Patterson, Andrew P. Sabelhaus, Keene Chin, Carmel Majidi:
An Untethered Brittle Star Robot for Closed-Loop Underwater Locomotion. - Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation. - Jose F. Ruiz-Muñoz, Alina Zare, Jyothier K. Nimmagadda, Shuang Cui, James E. Baciak:
Super Resolution for Root Imaging. - Simone Disabato, Alessandro Falcetta, Alessio Mongelluzzo, Manuel Roveri:
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. - Claudio Hermida, Uday S. Reddy, Edmund P. Robinson, Alessio Santamaria:
Bisimulation as a Logical Relation. - Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Li, Katherine Li, Bess Rothman, Lexa Giragosian, Maya Reyes, Hannah Gadway, Rebecca M. Cunningham, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy, Predrag V. Klasnja:
Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data. - Daniel Haase, Manuel Amthor:
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets. - Georg Rehm, Maria Berger, Ela Elsholz, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Stelios Piperidis, Miltos Deligiannis, Dimitris Galanis, Katerina Gkirtzou, Penny Labropoulou, Kalina Bontcheva, David Jones, Ian Roberts, Jan Hajic, Jana Hamrlová, Lukás Kacena, Khalid Choukri, Victoria Arranz, Andrejs Vasiljevs, Orians Anvari, Andis Lagzdins, Julija Melnika, Gerhard Backfried, Erinç Dikici, Miroslav Jánosík, Katja Prinz, Christoph Prinz, Severin Stampler, Dorothea Thomas-Aniola, José Manuél Gómez-Pérez, Andrés García-Silva, Cristian Berrio, Ulrich Germann, Steve Renals, Ondrej Klejch:
European Language Grid: An Overview. - Yurid Nugraha, Ahmet Cetinkaya, Tomohisa Hayakawa, Hideaki Ishii, Quanyan Zhu:
Dynamic Resilient Network Games with Applications to Multi-Agent Consensus. - Uli Wagner, Emo Welzl:
Connectivity of Triangulation Flip Graphs in the Plane. - Thomas Worsch:
A faster algorithm for the FSSP in one-dimensional CA with multiple speeds. - Daniel Berend, Aryeh Kontorovich, Lev Reyzin, Thomas J. Robinson:
On Biased Random Walks, Corrupted Intervals, and Learning Under Adversarial Design. - Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamás Sarlós, Adrian Weller, Vikas Sindhwani:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. - Mustafa Almushaira, Harish P. Bhatt:
Fast and accurate high-order method for high dimensional space-fractional reaction-diffusion equation with general boundary conditions. - Parisa Rafiee, Peng Zou, Omur Ozel, Suresh Subramaniam:
Maintaining Information Freshness in Power-Efficient Status Update Systems. - Laxman Dhulipala, Quanquan C. Liu, Julian Shun:
Parallel Batch-Dynamic k-Clique Counting. - Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation. - Anadi Agrawal, Pawel Gawrychowski:
A Faster Subquadratic Algorithm for the Longest Common Increasing Subsequence Problem. - Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon:
Suphx: Mastering Mahjong with Deep Reinforcement Learning. - Tai Vu, Emily Wen, Roy Nehoran:
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference. - Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. - Parker Evans, Carola Wenk:
Combinatorial Properties of Self-Overlapping Curves and Interior Boundaries. - Luca Celotti, Simon Brodeur, Jean Rouat:
AriEL: volume coding for sentence generation. - Elisa Bertino, Syed Rafiul Hussain, Omar Chowdhury:
5G Security and Privacy: A Research Roadmap. - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. - Junfang Zhu, Xuezao Ren, Peijie Ma, Kun Gao:
Community detection on complex networks based on a new centrality indicator and a new modularity function. - Yuxuan Liu, Jiangyong Duan, Juan Meng:
Difference Attention Based Error Correction LSTM Model for Time Series Prediction. - Kirill Loisha, Javad Ghofrani, Dirk Reichelt:
A Systematic Mapping Study on Blockchain Technology for Digital Protection of Communication with Industrial Control. - Javad Ghofrani, Paul Patoola, Daniel Richter, Dirk Reichelt:
Conceptualizing A Configuration Service for Complex Automation Systems. - Javad Ghofrani, Ehsan Kozegar, Mohammad Divband Soorati, Arezoo Bozorgmehr, Hongfei Chen, Maximilian Naake:
Repository for Reusing Artifacts of Artificial Neural Networks. - Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent Patient Network Learning for Automatic Diagnosis. - Jianbo Jiao, Linchao Bao, Yunchao Wei, Shengfeng He, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Laplacian Denoising Autoencoder. - Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2019: The Conversational Assistance Track Overview. - Glen MacLachlan, Jason Hurlburt, Marco Suarez, Kai Leung Wong, William Burke, Terrence Lewis, Andrew Gallo, Jaroslav Flidr, Raoul Gabiam, Janis Nicholas, Brian Ensorgauging:
Building a Shared Resource HPC Center Across University Schools and Institutes: A Case Study. - Tal Ridnik, Hussam Lawen, Asaf Noy, Itamar Friedman:
TResNet: High Performance GPU-Dedicated Architecture. - Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso:
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. - Barbara Franci, Sergio Grammatico:
A game-theoretic approach for Generative Adversarial Networks. - Roman Haag, Hendrik Molter, Rolf Niedermeier, Malte Renken:
Feedback Edge Sets in Temporal Graphs. - Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study. - Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman, Monisha Ghosh, Sanjay Krishnan:
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios. - Marco Domenico Cirillo, David Abramian, Anders Eklund:
Vox2Vox: 3D-GAN for Brain Tumour Segmentation. - Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt:
Analysing the Extent of Misinformation in Cancer Related Tweets. - Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. - Chaoqi Yang, Ruijie Wang, Shuochao Yao, Shengzhong Liu, Tarek F. Abdelzaher:
Revisiting "Over-smoothing" in Deep GCNs. - Sajani Vithana, Karim Banawan, Sennur Ulukus:
Semantic Private Information Retrieval. - Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
Increasing negotiation performance at the edge of the network. - Ran Canetti, Ari Trachtenberg, Mayank Varia:
Anonymous Collocation Discovery: Taming the Coronavirus While Preserving Privacy. - Monireh Mohebbi Moghaddam, Mohammad Hossein Manshaei, Mehdi Naderi Soorki, Walid Saad, Maziar Goudarzi, Dusit Niyato:
On Coordination of Smart Grid and Cooperative Cloud Providers. - Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé:
Deep reinforcement learning for large-scale epidemic control. - Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár:
Designing Network Design Spaces. - Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. - Tooba Aamir, Hai Dong, Athman Bouguettaya:
Social-Sensor Composition for Tapestry Scenes. - Marko Vasic, Cameron T. Chalk, Sarfraz Khurshid, David Soloveichik:
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks. - Amr M. Zaki, Mahmoud I. Khalil, Hazem M. Abbas:
Amharic Abstractive Text Summarization. - Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon:
Adaptive Group Sparse Regularization for Continual Learning. - Michael Braun, Florian Weber, Florian Alt:
Affective Automotive User Interfaces - Reviewing the State of Emotion Regulation in the Car. - Mercedes Garcia-Salguero, Jesus Briales, Javier González Jiménez:
Certifiable Relative Pose Estimation. - Davide Torlo:
Model Reduction for Advection Dominated Hyperbolic Problems in an ALE Framework: Offline and Online Phases. - Karl Kurzer, Christoph Hörtnagl, J. Marius Zöllner:
Parallelization of Monte Carlo Tree Search in Continuous Domains. - Vivek Khatana, Murti V. Salapaka:
D-DistADMM: A O(1/k) Distributed ADMM for Distributed Optimization in Directed Graph Topologies. - Manchen Wang, Joseph Tighe, Davide Modolo:
Combining detection and tracking for human pose estimation in videos. - Jendrik Brachter, Pascal Schweitzer:
On the Weisfeiler-Leman Dimension of Finite Groups. - Fan Yao, Adnan Siraj Rakin, Deliang Fan:
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. - Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann de Oliveira, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel:
The Operating System of the Neuromorphic BrainScaleS-1 System. - Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo Wunderlich, Johannes Schemmel:
Extending BrainScaleS OS for BrainScaleS-2. - Sanne J. van den Boom, Jian Zhang, Fred van Keulen, Alejandro M. Aragón:
An Interface-enriched Generalized Finite Element Method for Levelset-based Topology Optimization. - Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. - Rui Hu, Yanmin Gong, Yuanxiong Guo:
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning. - William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel:
Using VERA to explain the impact of social distancing on the spread of COVID-19. - Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdenek Krnoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim:
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction. - Ghassan Samara, Munir Al-okour:
Optimal Number of Cluster Heads in Wireless Sensors Networks Based on LEACH. - Taewon Cho, Julianne Chung, Jiahua Jiang:
Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors. - David Hurwitz:
From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case. - Hamada M. Zahera, Mohamed Ahmed Sherif, Axel Ngonga:
Semantic-based End-to-End Learning for Typhoon Intensity Prediction. - Yijun Tian, Rumi Chunara:
Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes. - Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda:
A Sampling Theorem for Deconvolution in Two Dimensions. - Caio Corro:
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3). - Sudiksha Khanduja, Aayushi Srivastava, Md. Zamilur Rahman, Asish Mukhopadhyay:
Generating Weakly Chordal Graphs from Arbitrary Graphs. - Florian Lieb, Tobias Knopp:
A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging. - Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei:
Domain Balancing: Face Recognition on Long-Tailed Domains. - Luca Bascetta, Marcello Farina, Alessandro Gabrielli, Matteo Matteucci:
A feedback linearisation algorithm for single-track models with structural stability properties. - Carolin Dirks, Benedikt Wirth:
An adaptive finite element approach for lifted branched transport problems. - Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya:
H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance. - Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn:
Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints. - Federico Rossi, Tiago Stegun Vaquero, Marc Sanchez Net, Maíra Saboia da Silva, Joshua Vander Hook:
The Pluggable Distributed Resource Allocator (PDRA): a Middleware for Distributed Computing in Mobile Robotic Networks. - Nathaniel Chodosh, Simon Lucey:
When to Use Convolutional Neural Networks for Inverse Problems. - Ayush Jain, Meenachi Ganesamoorty:
NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain. - Jakob Bossek, Carola Doerr, Pascal Kerschke:
Initial Design Strategies and their Effects on Sequential Model-Based Optimization. - Juan I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince:
Co-occurrence of deep convolutional features for image search. - Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation. - Iovka Boneva, Jose Lozano, Slawek Staworko:
Consistency and Certain Answers in Relational to RDF Data Exchange with Shape Constraints. - Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiljevs, Gerhard Backfried, Christoph Prinz, José Manuél Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriute, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavrilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Sandford Pedersen, Inguna Skadina, Marko Tadic, Dan Tufis, Tamás Váradi, Kadri Vider, Andy Way, François Yvon:
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe. - Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. - Hossein Nourkhiz Mahjoub, Arash Raftari, Rodolfo Valiente, Yaser P. Fallah, Syed K. Mahmud:
Representing Realistic Human Driver Behaviors using a Finite Size Gaussian Process Kernel Bank. - Qingrui Zhang, Wei Pan, Vasso Reppa:
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties. - Ivan Kosarevych, Marian Petruk, Markian Kostiv, Orest Kupyn, Mykola Maksymenko, Volodymyr Budzan:
ActGAN: Flexible and Efficient One-shot Face Reenactment. - Ashok Thillaisundaram:
A Hierarchical Transformer for Unsupervised Parsing. - Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou:
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild". - Abdullah Alourani, Ajay D. Kshemkalyani:
Provisioning Spot Instances Without Employing Fault-Tolerance Mechanisms. - Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra:
Code Prediction by Feeding Trees to Transformers. - Ifeatu Ezenwe, Alok Joshi, KongFatt Wong-Lin:
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model. - Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman:
Can Deep Learning Recognize Subtle Human Activities? - Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. - Toby Walsh:
A Pebble in the AI Race. - Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie:
COVID-CT-Dataset: A CT Scan Dataset about COVID-19. - Calvin Murdock, Simon Lucey:
Dataless Model Selection with the Deep Frame Potential. - Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation. - Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. - Zitao Chen, Guanpeng Li, Karthik Pattabiraman:
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction. - Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi:
Procedural Reading Comprehension with Attribute-Aware Context Flow. - Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
MUXConv: Information Multiplexing in Convolutional Neural Networks. - Abdulrahman Alabdulkareem, Jean Honorio:
Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation. - Wennie Tabib, Kshitij Goel, John W. Yao, Curtis Boirum, Nathan Michael:
Autonomous Cave Surveying with an Aerial Robot. - Srikanth Malla, Behzad Dariush, Chiho Choi:
TITAN: Future Forecast using Action Priors. - Ramya Tekumalla, Juan M. Banda:
Social Media Mining Toolkit (SMMT). - Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. - Shengling Wang, Lina Shi, Junshan Zhang, Xiuzhen Cheng, Jiguo Yu:
Privacy-aware Data Trading. - Hao Tang, Xiaojuan Qi, Dan Xu, Philip H. S. Torr, Nicu Sebe:
Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis. - Ramya Tekumalla, Juan M. Banda:
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. - Xuan Lin:
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. - Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-fidelity Face Completion. - Rabin Yu Acharya, Sreeja Chowdhury, Fatemeh Ganji, Domenic Forte:
Attack of the Genes: Finding Keys and Parameters of Locked Analog ICs Using Genetic Algorithm. - Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily K. Vraga, Yanchen Wang:
A first look at COVID-19 information and misinformation sharing on Twitter. - Matt Olfat, Stephen Sloan, Pedro Hespanhol, Matthew Porter, Ram Vasudevan, Anil Aswani:
Covariance-Robust Dynamic Watermarking. - Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang:
Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission. - Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao:
Attention-based Multi-modal Fusion Network for Semantic Scene Completion. - Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. - Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai:
Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing. - Yikan Liu:
Numerical schemes for reconstructing profiles of moving sources in (time-fractional) evolution equations. - Aiping Xiong, Tianhao Wang, Ninghui Li, Somesh Jha:
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. - Libo Feng, Pinghui Zhuang, Fawang Liu, Ian W. Turner, Jing Li:
High-order numerical methods for the Riesz space fractional advection-dispersion equations. - Jiachen Li, Fan Yang, Masayoshi Tomizuka, Chiho Choi:
EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs. - Jilin Mei, Huijing Zhao:
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene. - Shaochi Hu, Donghao Xu, Huijing Zhao:
Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders. - Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference with Aggregate Data: An Optimal Transport Approach. - Lancelot Dupont, Christophe Jouffrais, Simon T. Perrault:
Vibrotactile Feedback for Vertical 2D Space Exploration. - Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles:
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation. - Hongjoon Ahn, Taesup Moon:
A Simple Class Decision Balancing for Incremental Learning. - Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. - Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas:
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. - Adrian Johnston, Gustavo Carneiro:
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume. - Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li:
FGN: Fully Guided Network for Few-Shot Instance Segmentation. - Farzad Zafarani, Chris Clifton:
Differentially Private Naïve Bayes Classifier using Smooth Sensitivity. - Yawei Sun, Lingling Zhang, Gong Cheng, Yuzhong Qu:
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases. - Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model. - Difei Gao, Ke Li, Ruiping Wang, Shiguang Shan, Xilin Chen:
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text. - Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-wise Predictions via Self-knowledge Distillation. - Shuchi Chawla, Meena Jagadeesan:
Fairness in ad auctions through inverse proportionality. - Aaron Feng, Shuwei Chen, Yuliang Li, Hiroshi Matsuda, Hidekazu Tamaki, Wang-Chiew Tan:
Towards Productionizing Subjective Search Systems. - Rodrigo de Medrano, José Luis Aznarte:
A Spatio-Temporal Spot-Forecasting Framework forUrban Traffic Prediction. - Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. - Nora Castner, Thomas C. Kübler, Katharina Scheiter, Juliane Richter, Thérése Eder, Fabian Hüttig, Constanze Keutel, Enkelejda Kasneci:
Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing. - Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, Jiaying Liu:
Fashion Meets Computer Vision: A Survey. - Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction. - M. Nicolai L. Lorenz-Meyer, Alexey A. Bobtsov, Romeo Ortega, Nikolay A. Nikolaev, Johannes Schiffer:
PMU-Based Decentralized Mixed Algebraic and Dynamic State Observation in Multi-Machine Power Systems. - Weilin Zheng, Xu Chen, Zibin Zheng, Xiapu Luo, Jiahui Cui:
AxeChain: A Secure and Decentralized blockchain for solving Easily-Verifiable problems. - Hiroyasu Inoue, Yasuyuki Todo:
The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19. - Weikun Wu, Yan Zhang, David Wang, Yunqi Lei:
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints. - Maëlick Claes, Mika Mäntylä:
20-MAD - 20 Years of Issues and Commits of Mozilla and Apache Development. - Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification. - Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection using Interaction Points. - Tomaz Erjavec:
MULTEXT-East. - Rohit Murali, Suravi Patnaik, Stephen Cranefield:
Mining International Political Norms from the GDELT Database. - Yu Xing, Xingkang He, Haitao Fang, Karl Henrik Johansson:
Community Detection for Gossip Dynamics with Stubborn Agents. - Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. - Yifeng Chen, Guangchen Lin, Songyuan Li, Omar El Farouk Bourahla, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li:
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation. - Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. - Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng:
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings. - Mark Philip Philipsen, Thomas Baltzer Moeslund:
Distance in Latent Space as Novelty Measure. - Xinyue Wang, Zhiwu Xie:
The Case For Alternative Web Archival Formats To Expedite The Data-To-Insight Cycle. - Mark Philip Philipsen, Thomas Baltzer Moeslund:
Prediction Confidence from Neighbors. - Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li:
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior. - Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller:
Inverting Gradients - How easy is it to break privacy in federated learning? - Prajit Dhar, Arianna Bisazza:
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks. - Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. - Dong Li, Ting Yao, Zhaofan Qiu, Houqiang Li, Tao Mei:
Long Short-Term Relation Networks for Video Action Detection. - Peng Zou, Omur Ozel, Suresh Subramaniam:
On Age and Value of Information in Status Update Systems. - Yingwei Pan, Ting Yao, Yehao Li, Tao Mei:
X-Linear Attention Networks for Image Captioning. - Rajarshi Bhattacharjee, Subhankar Banerjee, Abhishek Sinha:
Fundamental Limits of Online Network-Caching. - Satoshi Yamashita, Shinpei Hayashi, Motoshi Saeki:
ChangeBeadsThreader: An Interactive Environment for Tailoring Automatically Untangled Changes. - Binyamin Oz, Seva Shneer, Ilze Ziedins:
Static vs accumulating priorities in healthcare queues under heavy loads. - Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist:
Leverage the Average: an Analysis of Regularization in RL. - Mahboubeh Nazari, Sousan Tarahomi, Sobhan Aliabady:
A Lightweight Adaptable DNS Channel for Covert Data Transmission. - Franz Gregor, Wojciech Ozga, Sébastien Vaucher, Rafael Pires, Do Le Quoc, Sergei Arnautov, André Martin, Valerio Schiavoni, Pascal Felber, Christof Fetzer:
Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders. - Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning. - Mazen Mohamad, Alexander Åström, Örjan Askerdal, Jörgen Borg, Riccardo Scandariato:
Security Assurance Cases for Road Vehicles: an Industry Perspective. - Leonardo Citraro, Pablo Márquez-Neila, Stefano Savare, Vivek Jayaram, Charles Dubout, Félix Renaut, Andres Hasfura, Horesh Ben Shitrit, Pascal Fua:
Real-Time Camera Pose Estimation for Sports Fields. - Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang:
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. - Bjørn Christian Skov Jensen, Kim Knudsen:
Sound speed uncertainty in Acousto-Electric Tomography. - Anilkumar Parsi, Andrea Iannelli, Roy S. Smith:
Active exploration in adaptive model predictive control. - Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata:
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. - Harel Berger, Chen Hajaj, Amit Dvir:
When the Guard failed the Droid: A case study of Android malware. - Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. - Patrick Krauss, Andreas Maier:
Will we ever have Conscious Machines? - Mazen Mohamad, Jan-Philipp Steghöfer, Riccardo Scandariato:
Cross-project Classification of Security-related Requirements. - Jan Groselj, Mario Kapl, Marjeta Knez, Thomas Takacs, Vito Vitrih:
A super-smooth C1 spline space over mixed triangle and quadrilateral meshes. - Ulrich Langer, Olaf Steinbach, Fredi Tröltzsch, Huidong Yang:
Unstructured Space-Time Finite Element Methods for Optimal Sparse Control of Parabolic Equations. - Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei:
Look-into-Object: Self-supervised Structure Modeling for Object Recognition. - Ramiro dell'Erba, Claudio Moriconi, Alfredo Trocciola:
Can underwater robotics technology save submerged Cultural Heritage? - Mazen Mohamad, Jan-Philipp Steghöfer, Riccardo Scandariato:
Security Assurance Cases - State of the Art of an Emerging Approach. - Jan Hofmann, Enrica Troiano, Kai Sassenberg, Roman Klinger:
Appraisal Theories for Emotion Classification in Text. - Huaiyang Huang, Yuxiang Sun, Haoyang Ye, Ming Liu:
Metric Monocular Localization Using Signed Distance Fields. - (Withdrawn) Detecting impending malnutrition of elderly people in domestic smart home environments.
- Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung:
Deep State Space Models for Nonlinear System Identification. - Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville:
Pix2Shape - Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation. - Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas K. Maier, Vincent Christlein:
Recognizing Characters in Art History Using Deep Learning. - Yusheng Xiang, Ruoyu Li, Christine Brach, Xiaole Liu, Marcus Geimer:
A novel Algorithm for Hydrostatic-mechanical Mobile Machines with a Dual-Clutch Transmission. - Adam Paszke, Michal Pilipczuk:
VC density of set systems defnable in tree-like graphs. - Junfa Liu, Yisheng Guang, Juan Rojas:
GAST-Net: Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video. - Yidong Luo:
Petrov-Galerkin Method on Modified Symm's Integral Equation from Interior and Exterior Dirichlet Problem. - Apostolos I. Rikos, Christoforos N. Hadjicostis:
Event-Triggered Quantized Average Consensus via Mass Summation. - Saeed Masoudnia, Melika Kheirieh, AbdolHossein Vahabie, Babak Nadjar Araabi:
Attention-based Assisted Excitation for Salient Object Segmentation. - Gaston Lenczner, Bertrand Le Saux, Nicola Luminari, Adrien Chan-Hon-Tong, Guy Le Besnerais:
DISIR: Deep Image Segmentation with Interactive Refinement. - Chao Gu, Ziyue Ma, Zhiwu Li, Alessandro Giua:
Verification of Nonblockingness in Bounded Petri Nets: A Novel Semi-Structural Approach. - Stefano Buzzi, Carmen D'Andrea, Marco Lops:
Transmit Power Allocation for Joint Communication and Sensing through Massive MIMO Arrays. - Sergey Kolesnikov, Valentin Khrulkov:
Sample Efficient Ensemble Learning with Catalyst.RL. - Roberto La Scala, Sharwan K. Tiwari:
Stream/block ciphers, difference equations and algebraic attacks. - Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li:
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. - Michael S. Warren, Samuel W. Skillman:
Mobility Changes in Response to COVID-19. - Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento:
Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data. - Paulo Tabuada, Lucas Fraile:
Data-driven Stabilization of SISO Feedback Linearizable Systems. - Adam Wolisz:
A Fully Distributed, Privacy Respecting Approach for Back-tracking of Potentially Infectious Contacts. - Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu:
DPGN: Distribution Propagation Graph Network for Few-shot Learning. - Artur Sokolovsky, Thomas Gross, Jaume Bacardit:
Detection of FLOSS version release events from Stack Overflow message data. - Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff, Eylon Yogev:
A Framework for Adversarially Robust Streaming Algorithms. - Mohsen Fayyaz, Juergen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. - Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. - Lars Brünjes, Murdoch James Gabbay:
UTxO- vs account-based smart contract blockchain programming paradigms. - Yalong Yang, Kim Marriott, Matthew Butler, Cagatay Goncu, Leona Holloway:
Tactile Presentation of Network Data: Text, Matrix or Diagram? - Shuonan Wu, Ludmil T. Zikatanov:
On the unisolvence for the quasi-polynomial spaces of differential forms. - Mark Anderson, Carlos Gómez-Rodríguez:
Inherent Dependency Displacement Bias of Transition-Based Algorithms. - Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett:
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. - Michael V. Arnold, David Rushing Dewhurst, Thayer Alshaabi, Joshua R. Minot, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds:
Hurricanes and hashtags: Characterizing online collective attention for natural disasters. - Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. - Megan Charity, Ahmed Khalifa, Julian Togelius:
Baba is Y'all: Collaborative Mixed-Initiative Level Design. - Idan Azuri, Daphna Weinshall:
Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model. - Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Ryan Fanello, Rahul Garg:
Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels. - Debarati Bhaumik, Marko A. A. Boon, Daan Crommelin, Barry Koren, Bert Zwart:
Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers. - Eric L. Manibardo, Ibai Laña, Jesus L. Lobo, Javier Del Ser:
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data. - Daniele Venturi, Alec Dektor:
Spectral methods for nonlinear functionals and functional differential equations. - Caterina Bassi, Luca Bonaventura, Saray Busto, Michael Dumbser:
A hyperbolic reformulation of the Serre-Green-Naghdi model for general bottom topographies. - Lars Gottesbüren, Michael Hamann, Philipp Schoch, Ben Strasser, Dorothea Wagner, Sven Zühlsdorf:
Engineering Exact Quasi-Threshold Editing. - Lihong Feng, Peter Benner:
On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems. - Cees Ferdinand Verdier, Manuel Mazo Jr.:
Formal controller synthesis for hybrid systems using genetic programming. - Alejandro Newell, Jia Deng:
How Useful is Self-Supervised Pretraining for Visual Tasks? - Eva Vanmassenhove:
On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation. - Zixiao Han, Jiaxin Liang, Yifan Gu, He Chen:
Software-Defined Radio Implementation of Age-of-Information-Oriented Random Access. - Vladimir N. Temlyakov:
Numerical integration without smoothness assumption. - Marius Buliga:
Artificial chemistry experiments with chemlambda, lambda calculus, interaction combinators. - Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer:
TartanAir: A Dataset to Push the Limits of Visual SLAM. - Jeff Erickson, Gabriel Nivasch, Junyan Xu:
Fusible numbers and Peano Arithmetic. - Tom Ching LingChen, Ava Khonsari, Amirreza Lashkari, Mina Rafi Nazari, Jaspreet Singh Sambee, Mario A. Nascimento:
UniformAugment: A Search-free Probabilistic Data Augmentation Approach. - Dung Van Vu, Minh Hoang Trinh, Hyo-Sung Ahn:
Distance-Based Formation Tracking with Unknown Bounded Reference Velocities. - Chris J. Mitchell:
Yet another insecure group key distribution scheme using secret sharing. - Stefan Vlaski, Ali H. Sayed:
Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization. - Gregory J. Stein, Christopher Bradley, Victoria Preston, Nicholas Roy:
Enabling Topological Planning with Monocular Vision. - (Withdrawn) On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models.
- Satish Kumar, Tao Chen, Rami Bahsoon, Rajkumar Buyya:
DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning. - Asmelash Teka Hadgu, Adam Beaudoin, Abel Aregawi:
Evaluating Amharic Machine Translation. - Eleftherios Triantafyllidis, Christopher McGreavy, Jiacheng Gu, Zhibin Li:
Multimodal Interfaces for Effective Teleoperation. - Anirudh Vemula, J. Andrew Bagnell:
TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions. - Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. - Wansheng Wang:
Long time Hsα stability of a classical scheme for Cahn-Hilliard equation with polynomial nonlinearity. - Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy:
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting. - Surafel Melaku Lakew, Matteo Negri, Marco Turchi:
Low Resource Neural Machine Translation: A Benchmark for Five African Languages. - Anne S. Wannenwetsch, Stefan Roth:
Probabilistic Pixel-Adaptive Refinement Networks. - Alex Berke, Michiel A. Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex 'Sandy' Pentland:
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic. - Therese Biedl, Milap Sheth:
Drawing Halin-graphs with small height. - Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani:
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation. - Samuel Albanie, Jaime Thewmore, Robert McCraith, João F. Henriques:
State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication. - Cyril Grunspan, Ricardo Pérez-Marco:
The mathematics of Bitcoin. - Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H. Tewfik:
Generating EEG features from Acoustic features. - Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci:
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. - Péter Kovács, Sándor Fridli, Ferenc Schipp:
Generalized Rational Variable Projection With Application in ECG Compression. - Mufti Mahmud, M. Shamim Kaiser, Amir Hussain:
Deep Learning in Mining Biological Data. - Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang:
A Time-dependent SIR model for COVID-19. - Michael P. Evans, Simon H. Tindemans:
Assessing Energy Storage Requirements Based on Accepted Risks. - Alexandra M. Jurgens, James P. Crutchfield:
The Functional Thermodynamics of Finite-State Maxwellian Ratchets. - Wang-Sheng Liu, Sai Hung Cheung:
Design optimization of stochastic complex systems via iterative density estimation. - Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra:
Expression Recognition in the Wild Using Sequence Modeling. - Fuwei Li, Lifeng Lai, Shuguang Cui:
Optimal Feature Manipulation Attacks Against Linear Regression. - Yuki Ishihara, Kazuhiro Yokoyama:
Effective Localization Using Double Ideal Quotient and Its Implementation. - Yu Kobayashi, Hideaki Iiduka:
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning. - Akihiro Yabe, Takanori Maehara:
Tightly Robust Optimization via Empirical Domain Reduction. - Akshay Ajagekar, Fengqi You:
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems. - Xuhui Fan, Bin Li, Scott A. Sisson:
Online Binary Space Partitioning Forests. - Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos:
OpEn: Code Generation for Embedded Nonconvex Optimization. - Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki:
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. - J. Maurice Rojas, Yuyu Zhu:
A complexity chasm for solving sparse polynomial equations over p-adic fields. - Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Hae Sol Moon, Tyler J. Fraum, Malak Itani, Aaron M. Mintz, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha:
An estimation-based method to segment PET images. - Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa:
Differentiating through the Fréchet Mean. - Ketan Mittal, Som Dutta, Paul F. Fischer:
Multirate Timestepping for the Incompressible Navier-Stokes Equations in Overlapping Grids. - Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen:
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. - Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao:
Survival Cluster Analysis. - Bradley S. Price, Aaron J. Molstad, Ben Sherwood:
Estimating Multiple Precision Matrices with Cluster Fusion Regularization. - Momchil Minkov, Ian A. D. Williamson, Lucio C. Andreani, Dario Gerace, Beicheng Lou, Alex Y. Song, Tyler W. Hughes, Shanhui Fan:
Inverse design of photonic crystals through automatic differentiation. - Edwin S. Dalmaijer, Camilla L. Nord, Duncan E. Astle:
Statistical power for cluster analysis. - Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Stable behaviour of infinitely wide deep neural networks. - Ryo Kamoi, Kei Kobayashi:
Why is the Mahalanobis Distance Effective for Anomaly Detection? - Bo Fu, Liyan Wang, Yuechu Wu, Yufeng Wu, Shilin Fu, Yonggong Ren:
Week Texture Information Map Guided Image Super-resolution with Deep Residual Networks. - Takuya Isomura, Taro Toyoizumi:
Dimensionality reduction to maximize prediction generalization capability. - Yuki Ishihara:
Modular Techniques for Effective Localization and Double Ideal Quotient. - Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir:
Distributed Joint Detection and Estimation: A Sequential Approach. - Jorge Almeida, Ondrej Klíma:
Profinite congruences and unary algebras. - Guillermo Esteban, Clemens Huemer, Rodrigo I. Silveira:
New production matrices for geometric graphs. - Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. - Margaux Brégère, Malo Huard:
Online Hierarchical Forecasting for Power Consumption Data. - Christian Beck, Lukas Gonon, Arnulf Jentzen:
Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations. - Peng Jia, Xuebo Wu, Yi Huang, Bojun Cai, Dongmei Cai:
PSF-NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes. - Ashia C. Wilson, Maximilian Kasy, Lester Mackey:
Approximate Cross-validation: Guarantees for Model Assessment and Selection. - Toshiyuki Katsura, Katsuyuki Takashima:
Counting superspecial Richelot isogenies and its cryptographic application. - Hsien-Chih Chang, Arnaud de Mesmay:
Tightening Curves on Surfaces Monotonically with Applications. - Ryutaroh Matsumoto:
Improved Gilbert-Varshamov Bound for Entanglement-Assisted Asymmetric Quantum Error Correction by Symplectic Orthogonality. - Subrato Bharati, Prajoy Podder:
Disease Detection from Lung X-ray Images based on Hybrid Deep Learning. - Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara:
Analysis via Orthonormal Systems in Reproducing Kernel Hilbert C*-Modules and Applications. - Pham Huu Thanh Binh, Cristóvão Cruz, Karen O. Egiazarian:
Flashlight CNN Image Denoising. - Mehmet Yamac, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj:
Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing. - Umit Kose, Andrzej Ruszczynski:
Risk-Averse Learning by Temporal Difference Methods. - Cornelia Herbert, Jan Nachtsheim, Michael Munz:
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking - Technical Affordances and used Methods. - Fan Fang, Waichung Chung, Carmine Ventre, Michail Basios, Leslie Kanthan, Lingbo Li, Fan Wu:
Ascertaining price formation in cryptocurrency markets with DeepLearning. - (Withdrawn) Pathological speech detection using x-vector embeddings.
- Wujie Wang, Simon Axelrod, Rafael Gómez-Bombarelli:
Differentiable Molecular Simulations for Control and Learning. - Benoit Collins, Sushma Kumari, Vladimir G. Pestov:
Universal consistency of the k-NN rule in metric spaces and Nagata dimension. - Martin Balko, Manfred Scheucher, Pavel Valtr:
Holes and islands in random point sets. - Manuel Bodirsky, Marcello Mamino, Caterina Viola:
Piecewise Linear Valued Constraint Satisfaction Problems with Fixed Number of Variables. - M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. - Sarod Yatawatta:
Stochastic Calibration of Radio Interferometers. - Phan Le Son:
Uniform Array with Broadband Beamforming for Arbitrary Beam Patterns. - Edric Tam, David B. Dunson:
Fiedler Regularization: Learning Neural Networks with Graph Sparsity. - Aleksei Triastcyn, Boi Faltings:
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. - Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. - E. M. M. B. Ekanayake, Bhathiya Rathnayake, G. M. R. I. Godaliyadda, H. M. V. R. Herath, M. P. B. Ekanayake:
Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence. - Pavel Chebotarev, Dmitry A. Gubanov:
How to choose the most appropriate centrality measure? - Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales:
Unlimited Resolution Image Generation with R2D2-GANs. - Stefan Steinerberger:
Regularized Potentials of Schrödinger Operators and a Local Landscape Function. - Mark van der Wilk, Vincent Dutordoir, S. T. John, Artem Artemev, Vincent Adam, James Hensman:
A Framework for Interdomain and Multioutput Gaussian Processes. - Vincenzo Zaccà, Pablo Martínez-Nuevo, Martin Bo Møller, Jorge Martínez, Richard Heusdens:
Inferring the location of reflecting surfaces exploiting loudspeaker directivity. - Antonio Jesús Muñoz-Montoro, Julio J. Carabias-Orti, Archontis Politis, Konstantinos Drossos:
Multichannel Singing Voice Separation by Deep Neural Network Informed DOA Constrained CNMF. - Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Functional EM Algorithm for Panel Count Data with Missing Counts. - Mariola Ndrio, Khaled Alshehri, Subhonmesh Bose:
A Scalar Parameterized Mechanism for Two-Sided Markets. - Yue Li, Xuan Li, Minchen Li, Yixin Zhu, Bo Zhu, Chenfanfu Jiang:
A Hybrid Lagrangian-Eulerian Method for Topology Optimization. - Matt Jordan, Alexandros G. Dimakis:
Exactly Computing the Local Lipschitz Constant of ReLU Networks. - Frederik Bous, Luc Ardaillon, Axel Roebel:
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework. - Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar, Pierfrancesco Lapolla, Vicente Grau, Regent Lee:
A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents. - Diego Granziol, Xingchen Wan, Stephen Roberts:
Iterate Averaging Helps: An Alternative Perspective in Deep Learning. - Bagus Tris Atmaja, Masato Akagi:
The Effect of Silence Feature in Dimensional Speech Emotion Recognition. - Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori:
Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images. - Arnulf Jentzen, Timo Welti:
Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation. - Wenhan Zhu, Guangtao Zhai, Zongxi Han, Xiongkuo Min, Tao Wang, Zicheng Zhang, Xiaokang Yang:
A multiple attributes image quality database for smartphone camera photo quality assessment. - Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. - Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits. - Animikh Biswas, Randy Price:
Continuous Data Assimilation for the Three Dimensional Navier-Stokes Equations. - Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang:
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation. - Yang Yu, Wen Chen, Lili Wei:
Design of Convergence-Optimized Non-binary LDPC Codes over Binary Erasure Channel. - Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Thach G. Nguyen, Andreas Boes, Sai T. Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, Damien G. Hicks, David J. Moss:
Single photonic perceptron based on a soliton crystal Kerr microcomb for high-speed, scalable, optical neural networks. - Sandeep Chinta, Yaswanth Sai Jetti, C. Balaji:
Assessment of WRF model parameter sensitivity for high-intensity precipitation events during the Indian summer monsoon. - Evgeny V. Shchepin:
About the Serpinsky-Knopp curve. - Francisco Naveros, Niceto R. Luque, Eduardo Ros, Angelo Arleo:
VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model. - Dimitri Bouche, Marianne Clausel, François Roueff, Florence d'Alché-Buc:
Nonlinear Functional Output Regression: a Dictionary Approach. - Francisco Naveros, Jesús Alberto Garrido, Angelo Arleo, Eduardo Ros, Niceto R. Luque:
Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study. - Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang:
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning. - Hiromi Tanaka:
Decision Problems for Propositional Non-associative Linear Logic and Extensions. - Jiajia Jia, Harry L. Trentelman, M. Kanat Camlibel:
Fault detection and isolation for linear structured systems. - Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban:
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. - Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel L. K. Yamins:
Two Routes to Scalable Credit Assignment without Weight Symmetry. - Zahoor Uddin, Muhammad Altaf, Muhammad Bilal, Lewis Nkenyereye, Ali Kashif Bashir:
Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference. - Michael Kohler, Adam Krzyzak, Benjamin Walter:
On the rate of convergence of image classifiers based on convolutional neural networks. - Eliya Nachmani, Yossi Adi, Lior Wolf:
Voice Separation with an Unknown Number of Multiple Speakers. - Taban Eslami, Joseph S. Raiker, Fahad Saeed:
Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data. - Alex Kasman, Brenton LeMesurier:
Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code? - Stylianos Ioannis Mimilakis, Konstantinos Drossos, Gerald Schuller:
Unsupervised Interpretable Representation Learning for Singing Voice Separation. - John Verboom, Seungmo Kim:
Stochastic Analysis on Downlink Performance of Coexistence between WiGig and NR-U in 60 GHz Band. - Wei Hao Khoong:
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation. - Hongying Tang, Wen Chen, Jun Li:
Robust Joint Source-Relay-Destination Design Under Per-antenna Power Constraints. - Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang:
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. - Donatella Darsena, Giacinto Gelli, Francesco Verde:
On the design of multiple-relay cooperative MIMO networks with partial channel state information. - Gal Ness, Anastasiya Vainbaum, Constantine Shkedrov, Yanay Florshaim, Yoav Sagi:
Single-exposure absorption imaging of ultracold atoms using deep learning. - Hadi Daneshmand, Jonas Moritz Kohler, Francis R. Bach, Thomas Hofmann, Aurélien Lucchi:
Theoretical Understanding of Batch-normalization: A Markov Chain Perspective. - Ryan LaRose, Brian Coyle:
Robust data encodings for quantum classifiers. - Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden, Abhishek Thakur, Nobuhiro Funabiki, Benjamin Morrell, Sally L. Wood, Luca Carlone, Ali-akbar Agha-mohammadi:
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. - Victor Veitch, Anisha Zaveri:
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding. - Shreyas Kousik, Bohao Zhang, Pengcheng Zhao, Ram Vasudevan:
Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm. - Peter Plantinga, Eric Fosler-Lussier:
Towards Real-time Mispronunciation Detection in Kids' Speech. - Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data. - Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki:
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. - Yaotian Wang, Xiaohang Sun, Jason W. Fleischer:
When deep denoising meets iterative phase retrieval. - Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. - Igor Tsukerman:
Accuracy of Difference Schemes in Electromagnetic Applications: a Trefftz Analysis. - Thomas Spooner, Rahul Savani:
Robust Market Making via Adversarial Reinforcement Learning. - Ramsey Shadfan, Shen Wang, Sebastian A. Nugroho, Fengxin Chen, Ahmad F. Taha:
Computing Lipschitz Constants for Hydraulic Models of Water Distribution Networks. - Weiwei Jiang:
Applications of deep learning in stock market prediction: recent progress. - Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. - Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi, Othmane Benafan, Aaron P. Stebner, Xiaoli Zhang:
A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration. - Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. - Yusuke Hayashi, Taiji Suzuki:
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error. - Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice:
Active Preference Elicitation via Adjustable Robust Optimization. - Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, Pascale Fung:
Learning Fast Adaptation on Cross-Accented Speech Recognition. - Yulin Shao, Soung Chang Liew, Jiaxin Liang:
Sporadic Ultra-Time-Critical Crowd Messaging in V2X. - Akshay Subramaniam, Man Long Wong, Raunak D. Borker, Sravya Nimmagadda, Sanjiva K. Lele:
Turbulence Enrichment using Physics-informed Generative Adversarial Networks. - Carsten Schneider:
The Absent-Minded Passengers Problem: A Motivating Challenge Solved by Computer Algebra. - Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao:
GraphTTS: graph-to-sequence modelling in neural text-to-speech. - Chandan Singh, Wooseok Ha, François Lanusse, Vanessa Böhm, Jia Liu, Bin Yu:
Transformation Importance with Applications to Cosmology. - Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin:
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. - Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. - Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Adaptation in Online Social Learning. - Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment. - Felix Abramovich, Vadim Grinshtein, Tomer Levy:
Multiclass classification by sparse multinomial logistic regression. - Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao:
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder. - Juan Vidal Alegría, Fredrik Rusek, Jesús Rodríguez Sánchez, Ove Edfors:
Trade-offs In Quasi-Decentralized Massive MIMO. - Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement. - Ilija Bogunovic, Andreas Krause, Jonathan Scarlett:
Corruption-Tolerant Gaussian Process Bandit Optimization. - Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca:
A Learning Strategy for Contrast-agnostic MRI Segmentation. - Ze Cui, Jing Wang, Bo Bai, Tiansheng Guo, Yihui Feng:
G-VAE: A Continuously Variable Rate Deep Image Compression Framework. - Juan Pablo Vigneaux:
A homological characterization of generalized multinomial coefficients related to the entropic chain rule. - Hongying Tang, Wen Chen, Jun Li, Haibin Wan:
Achieving Global Optimality for Joint Source and Relay Beamforming Design in Two-Hop Relay Channels. - Kunlun Wang, Wen Chen, Jun Li, Qingqing Wu, Branka Vucetic:
Green MU-MIMO/SIMO Switching for Heterogeneous Delay-aware Services with Constellation Optimization. - Naifu Zhang, Meixia Tao:
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. - Markus Loecher:
Unbiased variable importance for random forests. - Yong Zhao, Jian Du, Yishan Wu:
Impact of JD Bernal Thoughts in the Science of Science upon China: Implications for Quantitative Studies of Science Today. - Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen Hoang Tran, Zhu Han, Eui-Nam Huh, Choong Seon Hong:
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach. - Lukas J. Fiderer, Jonas Schuff, Daniel Braun:
Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation. - Ziqi Wang, Marco Broccardo, Junho Song:
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems. - Aitor Lewkowycz, Yasaman Bahri, Ethan Dyer, Jascha Sohl-Dickstein, Guy Gur-Ari:
The large learning rate phase of deep learning: the catapult mechanism. - Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney:
Forecasting Sequential Data using Consistent Koopman Autoencoders. - Mohamed Salah Ibrahim, Nicholas D. Sidiropoulos:
Reliable Detection of Unknown Cell-Edge Users Via Canonical Correlation Analysis. - Farida Farsian, Nicoletta Krachmalnicoff, Carlo Baccigalupi:
Foreground model recognition through Neural Networks for CMB B-mode observations. - Yi Xie, Cong Shi, Zhuohang Li, Jian Liu, Yingying Chen, Bo Yuan:
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems. - Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio:
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks. - Parisa Golbayani, Dan Wang, Ionut Florescu:
Application of Deep Neural Networks to assess corporate Credit Rating. - Paul A. Parker, Scott H. Holan, Nalini Ravishanker:
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks. - Nicholas Galioto, Alex A. Gorodetsky:
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty. - Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier:
On the Convergence of Adam and Adagrad. - Tae Jin Park, Kyu Jeong Han, Manoj Kumar, Shrikanth Narayanan:
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap. - Yuni Iwamasa, Kenjiro Takazawa:
Optimal matroid bases with intersection constraints: Valuated matroids, M-convex functions, and their applications. - Mohit Lamba, Kranthi Kumar, Kaushik Mitra:
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging. - Edric Matwiejew, Jingbo Wang:
QSW_MPI: a framework for parallel simulation of quantum stochastic walks. - Kevin Kuo:
Individual Claims Forecasting with Bayesian Mixture Density Networks. - Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Overdetermined independent vector analysis. - Frank Nielsen, Richard Nock:
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family. - Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Non-stationary neural network for stock return prediction. - Gianluca Frison, Moritz Diehl:
HPIPM: a high-performance quadratic programming framework for model predictive control. - Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Linyan Lu, Zhaohui Yang, Mingzhe Chen, Zelin Zang, Mohammad Shikh-Bahaei:
Machine Learning for Predictive Deployment of UAVs with Multiple Access. - James Dallas, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal:
Neural network based terramechanics modeling and estimation for deformable terrains. - Javier Vera, Felipe Urbina, Wenceslao Palma:
Phase transitions in a decentralized graph-based approach to human language. - Juno V. Saraiva, Iran M. Braga Jr., Victor Farias Monteiro, Francisco Rafael Marques Lima, Tarcisio F. Maciel, Walter C. Freitas Jr., Francisco Rodrigo Porto Cavalcanti:
Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks. - Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn:
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles. - Atefeh Hajijamali Arani, Mohammad Mahdi Azari, William Melek, Safieddin Safavi-Naeini:
Learning in the Sky: An Efficient 3D Placement of UAVs. - Cristian Tatino, Nikolaos Pappas, Ilaria Malanchini, Lutz Ewe, Di Yuan:
Learning-Based Link Scheduling in Millimeter-wave Multi-connectivity Scenarios. - Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk:
Multi-Scale Neural network for EEG Representation Learning in BCI. - Ion Matei, Johan de Kleer, Alexander Feldman, Rahul Rai, Souma Chowdhury:
Hybrid modeling: Applications in real-time diagnosis. - Lili Wei, Wen Chen:
Compute-and-Forward Network Coding Design over Multi-Source Multi-Relay Channels. - Charles Millard, Aaron T. Hess, Boris Mailhé, Jared Tanner:
Approximate Message Passing with a Colored Aliasing Model for Variable Density Fourier Sampled Images. - Anton Freund:
From Kruskal's theorem to Friedman's gap condition. - Svante Janson:
Central limit theorems for additive functionals and fringe trees in tries. - Nathaniel Garton, Jarad Niemi, Alicia L. Carriquiry:
Knot Selection in Sparse Gaussian Processes with a Variational Objective. - Adam L. Bruce, Ankit Goel, Dennis S. Bernstein:
Convergence and Consistency of Recursive Least Squares with Variable-Rate Forgetting. - Elena Ballante, Pierpaolo Uberti, Silvia Figini:
A new approach in model selection for ordinal target variables. - Iasson Karafyllis, Dionysios Theodosis, Markos Papageorgiou:
Analysis and Control of a Non-Local PDE Traffic Flow Model. - Kazi Nazmul Haque, Rajib Rana, Björn W. Schuller:
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data. - Claudio Zito, Fabio Tesser, Mauro Nicolao, Piero Cosi:
Tatistical Context-Dependent Units Boundary Correction for Corpus-based Unit-Selection Text-to-Speech. - Suyog Gupta, Berkin Akin:
Accelerator-aware Neural Network Design using AutoML. - Arpan Mukhopadhyay, Ravi R. Mazumdar, Rahul Roy:
Opinion Dynamics under Voter and Majority Rule Models with Biased and Stubborn Agents. - Esther Derman, Shie Mannor:
Distributional Robustness and Regularization in Reinforcement Learning. - Mohammad Akif Beg, Jia Yuan Yu:
Generating Embroidery Patterns Using Image-to-Image Translation. - Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi:
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning. - Aliaksandr Hubin, Geir Storvik, Florian Frommlet:
Flexible Bayesian Nonlinear Model Configuration. - Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials. - Javad Fotouhi, Xingtong Liu, Mehran Armand, Nassir Navab, Mathias Unberath:
From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching. - Calin Chindris, Daniel Kline:
Simultaneous robust subspace recovery and semi-stability of quiver representations. - Yusuke Fujita, Shinji Watanabe, Shota Horiguchi, Yawen Xue, Kenji Nagamatsu:
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification. - Markus D. Foote, Philip E. Dennison, Andrew K. Thorpe, David R. Thompson, Siraput Jongaramrungruang, Christian Frankenberg, Sarang C. Joshi:
Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity Prior. - Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni:
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. - Yingchun Jiang, Wan Li:
Random sampling in weighted reproducing kernel subspaces of Lpν(Rd). - Essam A. Rashed, Mohamed G. Awad:
Neural networks approach for mammography diagnosis using wavelets features. - Venkata Ramana Makkapati, Tanmay Rajpurohit, Kazuhide Okamoto, Panagiotis Tsiotras:
Covariance Steering for Discrete-Time Linear-Quadratic Stochastic Dynamic Games. - Runyao Duan:
Quantum Adiabatic Theorem Revisited. - Haibin Wu, Songxiang Liu, Helen Meng, Hung-yi Lee:
Defense against adversarial attacks on spoofing countermeasures of ASV. - Qiang Du, Tiejun Li, Xiaoguang Li, Weiqing Ren:
The Graph Limit of The Minimizer of The Onsager-Machlup Functional and Its Computation. - Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone:
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations. - Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. - Oliver G. Ernst, Alois Pichler, Björn Sprungk:
Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation. - Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages. - Zhongliang Guo, Stephen Wu, Mitsuru Ohno, Ryo Yoshida:
A Bayesian algorithm for retrosynthesis. - Pau Tallada, Jorge Carretero, Jordi Casals, Carles Acosta-Silva, Santiago Serrano, Marc Caubet, Francisco J. Castander, Eduardo César, Martín Crocce, Manuel Delfino, Martin Eriksen, Pablo Fosalba, Enrique Gaztañaga, Gonzalo Merino, Christian Neissner, Nadia Tonello:
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop. - Connah Kendrick, David Gillespie, Moi Hoon Yap:
Anysize GAN: A solution to the image-warping problem. - Lili Wei, Wen Chen:
Optimal Binary/Quaternary Adaptive Signature Design for Code-Division Multiplexing. - Lili Wei, Wen Chen:
Integer-Forcing Linear Receiver Design with Slowest Descent Method. - Lili Wei, Wen Chen:
Optimal Upward Scaling of Minimum-TSC Binary Signature Sets. - Lluís Alemany-Puig, Ramon Ferrer-i-Cancho:
Fast calculation of the variance of edge crossings in random linear arrangements. - Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How:
Asynchronous and Parallel Distributed Pose Graph Optimization. - David Goz, Georgios Ieronymakis, Vassilis Papaefstathiou, Nikolaos Dimou, Sara Bertocco, Giuliano Taffoni, Francesco Simula, Antonio Ragagnin, Luca Tornatore, Igor Coretti:
Performance and energy footprint assessment of FPGAs and GPUs on HPC systems using Astrophysics application. - John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner:
TaskNorm: Rethinking Batch Normalization for Meta-Learning. - Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric:
Active Model Estimation in Markov Decision Processes. - Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Bayesian optimization of variable-size design space problems. - Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen:
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study. - Louisa Seelbach Benkner, Stephan Wagner:
On the Collection of Fringe Subtrees in Random Binary Trees. - Eric Guizzo, Tillman Weyde, Jack Barnett Leveson:
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. - Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East:
Endoscopy disease detection challenge 2020. - Dixia Fan, Liu Yang, Michael S. Triantafyllou, George Em Karniadakis:
Reinforcement Learning for Active Flow Control in Experiments. - Juan Augusto Paredes, Syed Aseem Ul Islam, Omran Kouba, Dennis S. Bernstein:
A Discrete-Time, Time-Delayed Lur'e Model with Biased Self-Excited Oscillations. - Evan Campbell, Angkoon Phinyomark, Erik J. Scheme:
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control. - Ivette Vélez, Caleb Rascón, Gibran Fuentes Pineda:
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments. - Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir:
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration. - Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser:
Machine learning assisted quantum state estimation. - Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol, Sonika Johri, Viacheslav Ostroukh, David J. Michalak, Roman Caudillo, James S. Clarke, Leonardo DiCarlo, Anne Y. Matsuura:
Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications. - Kaspar Märtens, Christopher Yau:
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. - Huimin Zhang, Yafei Wang, Junjia Liu, Chengwei Li, Taiyuan Ma, Chengliang Yin:
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction. - Evan Campbell, Jason Chang, Angkoon Phinyomark, Erik J. Scheme:
A Comparison of Amputee and Able-Bodied Inter-Subject Variability in Myoelectric Control. - Songlin Li, Yangdong Deng, Zhihua Wang:
Grid Cells Are Ubiquitous in Neural Networks. - Konatsu Miyamoto, Masaya Suzuki, Yuma Kigami, Kodai Satake:
Convergence of Q-value in case of Gaussian rewards. - Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun:
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. - Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Moses Arunsingh, Raj Kumar Shrimali, Sriram Prasath, Soumendranath Ray, Sanjoy Chatterjee:
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images. - Pengli Lu, Chen Dong:
Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure. - Michikazu Kobayashi, Philippe Parnaudeau, Francky Luddens, Corentin Lothodé, Luminita Danaila, Marc Brachet, Ionut Danaila:
Quantum turbulence simulations using the Gross-Pitaevskii equation: high-performance computing and new numerical benchmarks. - Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu:
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. - Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix:
Large-scale benchmark study of survival prediction methods using multi-omics data. - David M. Page, Suzanne M. Wendelken, Tyler S. Davis, David T. Kluger, Douglas T. Hutchinson, Jacob A. George, Gregory A. Clark:
Discrimination Among Multiple Cutaneous and Proprioceptive Hand Percepts Evoked by Nerve Stimulation with Utah Slanted Electrode Arrays in Human Amputees. - Lucas Mentch, Siyu Zhou:
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance. - Simon L. Cotter, Thomas A. House, Filippo Pagani:
The NuZZ: Numerical ZigZag Sampling for General Models. - (Withdrawn) Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees.
- Hiêp Hàn, Marcos Kiwi, Matías Pavez-Signé:
Quasi-random words and limits of word sequences. - Huan Lei, Lei Wu, Weinan E:
Machine learning based non-Newtonian fluid model with molecular fidelity. - Efstathios Bakolas, Alexandros Tsolovikos:
Greedy Finite-Horizon Covariance Steering for Discrete-Time Stochastic Nonlinear Systems Based on the Unscented Transform. - Jakob Runge:
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets. - Yi Yang, Yuxuan Guo, Xiangyu Chang:
Angle-Based Cost-Sensitive Multicategory Classification. - Bang-Ying Tang, Bo Liu, Wanrong Yu, Chunqing Wu:
Shannon-Limit Approached Information Reconciliation for Quantum Key Distribution. - Allen Houze Wang, Priyank Jaini, Yaoliang Yu, Pascal Poupart:
Complete Hierarchy of Relaxation for Constrained Signomial Positivity. - Lone Wong, Deli Zhao, Shaohua Wan, Bo Zhang:
Perceptual Image Super-Resolution with Progressive Adversarial Network. - Shengke Xue, Ruiliang Bai, Xinyu Jin:
Deep Learning Guided Undersampling Mask Design for MR Image Reconstruction. - Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu:
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. - Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka:
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions. - Emil Saucan:
Discrete Morse Theory, Persistent Homology and Forman-Ricci Curvature. - Péter Kovács, Andrea M. Fekete:
Nonlinear least-squares spline fitting with variable knots. - Zhihua Wang, Kede Ma:
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment. - Paul Reverdy:
Dynamical, value-based decision making among N options. - Ryan J. Tibshirani:
Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems. - Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier:
Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series. - Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning. - Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu, James Lin:
CUBE - Towards an Optimal Scaling of Cosmological N-body Simulations. - Bei Niu, Bi Li, Xin Zhang:
Complexity of tree-coloring interval graphs equitably. - Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung:
Sampling on Graphs: From Theory to Applications. - Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos:
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. - Y. Achdou, Z. Kobeissi:
Mean Field Games of Controls: Finite Difference Approximations. - Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani:
Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system. - Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven:
Spike-Timing-Dependent Inference of Synaptic Weights. - Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani:
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network. - Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira:
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. - Ayman Boustati, Sattar Vakili, James Hensman, S. T. John:
Amortized variance reduction for doubly stochastic objectives. - Inkeri Kontro, Mathieu Génois:
Combining surveys and sensors to explore student behaviour. - Dimitris Kamilis, Mario Blatter, Nick Polydorides:
Learned Spectral Computed Tomography. - Momonari Kudo, Shushi Harashita:
Algorithm to enumerate superspecial Howe curves of genus 4. - Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, Hawoong Jeong:
Learning entropy production via neural networks. - Raúl Vargas, Andrés G. Marrugo, Song Zhang, Lenny A. Romero:
Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting. - Thai-Son Nguyen, Sebastian Stüker, Alex Waibel:
Toward Cross-Domain Speech Recognition with End-to-End Models. - Emre Ozfatura, Stefano Rini, Deniz Gündüz:
Decentralized SGD with Over-the-Air Computation. - Rohit Kumar Shrivastava:
Application of Support Vector Machines for Seismogram Analysis and Differentiation. - Pavel Záviska, Pavel Rajmic:
Sparse and Cosparse Audio Dequantization Using Convex Optimization. - Xiangyu Zhang, Ramin Bashizade, Yicheng Wang, Cheng Lyu, Sayan Mukherjee, Alvin R. Lebeck:
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators. - Matan Rusanovsky, Gal Oren, Sigalit Ifergane, Ofer Beeri:
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning Approach. - Ali Shojaie:
Differential Network Analysis: A Statistical Perspective. - Vincent Roger, Jérôme Farinas, Julien Pinquier:
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data. - Alberto Marcone, Manlio Valenti:
The open and clopen Ramsey theorems in the Weihrauch lattice. - Charles Jin, Martin C. Rinard:
Manifold Regularization for Adversarial Robustness. - Ardavan F. Oskooi, Christopher Hogan, Alec M. Hammond, M. T. Homer Reid, Steven G. Johnson:
Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations. - Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang:
Exploration of Surgeons' Natural Skills for Robotic Catheterization. - Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh:
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks. - Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou:
Stochastic Recursive Momentum for Policy Gradient Methods. - Filip Tolovski:
Advancing Renewable Electricity Consumption With Reinforcement Learning. - Guillaume Lopez, Takuya Aoki, Kizito Nkurikiyeyezu, Anna Yokokubo:
Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation. - Narayanan Rengaswamy, Kaushik P. Seshadreesan, Saikat Guha, Henry D. Pfister:
Quantum-Message-Passing Receiver for Quantum-Enhanced Classical Communications. - Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad:
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? - Lucas Rouhier, Francisco Perdigón Romero, Joseph Paul Cohen, Julien Cohen-Adad:
Spine intervertebral disc labeling using a fully convolutional redundant counting model. - Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian:
UPR: A Model-Driven Architecture for Deep Phase Retrieval. - Alexandru Hening, Yao Li:
Stationary distributions of persistent ecological systems. - Zidi Xiu, Chenyang Tao, Ricardo Henao:
Variational Learning of Individual Survival Distributions. - Jesus O. Cunha, Hugo Harry Kramer, Rafael A. Melo:
On the computational complexity of uncapacitated multi-plant lot-sizing problems. - Yves Achdou, Mathieu Laurière:
Mean Field Games and Applications: Numerical Aspects. - T. Humphries, J. Wang:
Superiorized method for metal artifact reduction. - Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su:
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. - Chen Cai, Woojin Kim, Facundo Mémoli, Yusu Wang:
Elder-rule-staircodes for Augmented Metric Spaces. - Oisín Creaner, Kevin Nolan, John Walsh, Eugene Hickey:
The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry. - Oisín Creaner, John Walsh, Kevin Nolan, Eugene Hickey:
The Locus Algorithm IV: Performance metrics of a grid computing system used to create catalogues of optimised pointings. - Kevin Nolan, Eugene Hickey, Oisín Creaner:
The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry. - Chengyuan Wu, Carol Anne Hargreaves:
Topological Machine Learning for Mixed Numeric and Categorical Data. - Oisín Creaner, Kevin Nolan, David Grennan, Niall Smith, Eugene Hickey:
A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23, 779 Quasars. - Qianqian Yang, Mahdi Boloursaz Mashhadi, Deniz Gündüz:
Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback. - Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama:
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time. - Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin:
TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. - Tran Thi Phuong, Le Trieu Phong:
Communication-Efficient Distributed SGD with Error-Feedback, Revisited. - Amirgaliyev E. N., Kuanyshbay D. N., Baimuratov O:
Development of Automatic Speech Recognition for Kazakh Language using Transfer Learning. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Speaker Identification using EEG. - Abir Belaala, Labib Sadek Terrissa, Noureddine Zerhouni, Christine Devalland:
Computer Aided Diagnosis for Spitzoid lesions classification using Artificial Intelligence techniques. - Jean-Marc Luck, Anita Mehta:
On the coexistence of competing languages. - Alexander Thebelt, Jan Kronqvist, Miten Mistry, Robert M. Lee, Nathan Sudermann-Merx, Ruth Misener:
ENTMOOT: A Framework for Optimization over Ensemble Tree Models. - Fan Fei, Jinhyun Choo:
A phase-field model of geologic shear fracture. - Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen:
Pursuing Sources of Heterogeneity in Modeling Clustered Population. - Antoine Dailly, Adriana Hansberg, Denae Ventura:
On the balanceability of some graph classes. - Junchao Zhang:
Weighted Encoding Based Image Interpolation With Nonlocal Linear Regression Model. - Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen Hoang Tran, Zhu Han, Choong Seon Hong:
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach. - Magdalena Larfors, Robin Schneider:
Explore and Exploit with Heterotic Line Bundle Models. - Reza Barazideh, Omid Semiari, Solmaz Niknam, Balasubramaniam Natarajan:
Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks. - Haoyun Ying, Keheng Mao, Klaus Mosegaard:
Moving Target Monte Carlo. - Bala Kameshwar Poolla, Ashish Ranjan Hota, Saverio Bolognani, Duncan S. Callaway, Ashish Cherukuri:
Wasserstein Distributionally Robust Look-Ahead Economic Dispatch. - Veronica Mattioli, Davide Alinovi, Riccardo Raheli:
A Maximum Likelihood Approach to Speed Estimation of Foreground Objects in Video Signals. - Irshad A. Meer, Mustafa Özger, Cicek Cavdar:
On the Localization of Unmanned Aerial Vehicles with Cellular Networks. - Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar:
Integrating Physics-Based Modeling with Machine Learning: A Survey. - Antonio Di Crescenzo, Luca Paolillo:
Analysis and applications of the residual varentropy of random lifetimes. - Justin S. Smith, Benjamin T. Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros:
Automated discovery of a robust interatomic potential for aluminum. - Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Error Estimation for Sketched SVD via the Bootstrap. - Arvind Shrivats, Dena Firoozi, Sebastian Jaimungal:
A Mean-Field Game Approach to Equilibrium Pricing, Optimal Generation, and Trading in Solar Renewable Energy Certificate (SREC) Markets. - Yixin Wang, David M. Blei:
Towards Clarifying the Theory of the Deconfounder. - Xing Shi Cai, Guillem Perarnau:
The diameter of the directed configuration model. - Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt:
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. - Amitabh Basu, Michele Conforti, Marco Di Summa, Hongyi Jiang:
Complexity of cutting planes and branch-and-bound in mixed-integer optimization. - Max Chiswick, Sam Ganzfried:
Prediction of Bayesian Intervals for Tropical Storms. - Michael Arbel, Liang Zhou, Arthur Gretton:
KALE: When Energy-Based Learning Meets Adversarial Training. - Songkai Xue, Mikhail Yurochkin, Yuekai Sun:
Auditing ML Models for Individual Bias and Unfairness. - Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy, Sergio Escalera:
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation. - Xiaohuan Xue:
Estimation of within-study covariances in multivariate meta-analysis. - Enrico Camporeale, Algo Carè:
Estimation of Accurate and Calibrated Uncertainties in Deterministic models. - Fedor Ratnikov, Denis Derkach, A. Boldyrev, Andrey Shevelev, P. Fakanov, L. Matyushin:
Using machine learning to speed up new and upgrade detector studies: a calorimeter case. - Bülent Karasözen:
Model Order Reduction in Neuroscience. - Bo Jiang, Philippe Nain, Don Towsley:
Covert Cycle Stealing in a Single FIFO Server. - Shmuel Onn:
On Degree Sequence Optimization. - Dexiong Chen, Laurent Jacob, Julien Mairal:
Convolutional Kernel Networks for Graph-Structured Data. - Laszlo Gyongyosi, Sándor Imre:
Entanglement Accessibility Measures for the Quantum Internet. - Laszlo Gyongyosi, Sándor Imre:
Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices. - Laszlo Gyongyosi, Sándor Imre:
Theory of Noise-Scaled Stability Bounds and Entanglement Rate Maximization in the Quantum Internet. - Tuyen Trung Truong:
Coordinate-wise Armijo's condition: General case. - Taosha Fan, Todd D. Murphey:
Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees. - Grzegorz Krzyzanowski, Marcin Magdziarz:
A weighted finite difference method for American and Barrier options in subdiffusive Black-Scholes Model. - Boxin Zhao, Y. Samuel Wang, Mladen Kolar:
FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves. - Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Mandira Saha, Sanjoy Chatterjee, Raj Kumar Shrimali, Soumendranath Ray, Sriram Prasath:
Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images. - Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. - Dima Grigoriev:
Entropy of tropical holonomic sequences. - Sudeep Salgia, Qing Zhao, Sattar Vakili:
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. - Thomas Gerard, Christopher Parsonson, Zacharaya Shabka, Polina Bayvel, Domaniç Lavery, Georgios Zervas:
SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks. - Jérôme Rousseau:
Rényi entropy and pattern matching for run-length encoded sequences. - Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying:
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. - Mirko Trisolini, Hugh G. Lewis, Camilla Colombo:
Predicting the vulnerability of spacecraft components: modelling debris impact effects through vulnerable-zones. - Jackson Loper, David M. Blei, John P. Cunningham, Liam Paninski:
General linear-time inference for Gaussian Processes on one dimension. - Qinbo Bai, Ather Gattami, Vaneet Aggarwal:
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. - Tamal K. Dey, Marian Mrozek, Ryan Slechta:
Persistence of the Conley Index in Combinatorial Dynamical Systems. - Yanni Li, Bing Liu, Jiangtao Cui, Zhi Wang, Yulong Shen, Yueshen Xu, Kaicheng Yao:
Similarities and Evolutionary Relationships of COVID-19 and Related Viruses. - Santiago Guzmán-Pro, César Hernández-Cruz:
Duality pairs and homomorphisms to oriented and unoriented cycles. - Santiago Guzmán-Pro, César Hernández-Cruz:
Orientations without forbidden patterns on three vertices. - Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill:
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding. - Sriram Bhyravarapu, Subrahmanyam Kalyanasundaram, Rogers Mathew:
Conflict-free coloring on closed neighborhoods of bounded degree graphs. - Idris Kempf, Paul Goulart, Stephen Duncan:
Fast Gradient Method for Model Predictive Control with Input Rate and Amplitude Constraints. - Shovanur Haque, Kerrie L. Mengersen:
MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values. - Ville Salo:
Four heads are better than three. - Hugo Lhachemi, Robert Shorten, Christophe Prieur:
Exponential input-to-state stabilization of a class of diagonal boundary control systems with delay boundary control. - Thiernithi Variddhisaï, Danilo P. Mandic:
Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models. - Kenneth Leerbeck, Peder Bacher, Rune Junker, Goran Goranovic, Olivier Corradi, Razgar Ebrahimy, Anna Tveit, Henrik Madsen:
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning. - Ning An, Liuqi Jin, Huitong Ding, Jiaoyun Yang, Jing Yuan:
A deep belief network-based method to identify proteomic risk markers for Alzheimer disease. - Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli:
Statistical and Topological Properties of Sliced Probability Divergences. - Eugene A. Golikov:
Towards a General Theory of Infinite-Width Limits of Neural Classifiers. - Nandini Negi, Aranya Chakrabortty:
Co-Design of Delays and Sparse Controllers for Bandwidth-Constrained Cyber-Physical Systems. - Michael Filletti:
Investigating the influence Brexit had on Financial Markets, in particular the GBP/EUR exchange rate. - Jiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, Shrikanth Narayanan:
Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse ultrasonic vocalizations. - Pradyumna Chari, Anil Kumar Vadathya, Kaushik Mitra:
Optimal HDR and Depth from Dual Cameras. - Simon Schweighofer, David García, Frank Schweitzer:
An agent-based model of multi-dimensional opinion dynamics and opinion alignment. - Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: A Joint Denoising and Super-Resolution Dataset. - Jawad Ismail, Steven Liu:
Tube-based Robust Model Predictive Control for a Distributed Parameter System Modeled as a Polytopic LPV. - Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
RSSI-Based Hybrid Beamforming Design with Deep Learning. - Richard Goldstone, Rachel Roca, Robert Suzzi Valli:
Shortest Paths on Cubes. - Liu Yang, Xuhui Meng, George Em Karniadakis:
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data. - Nikhel Gupta, Christian L. Reichardt:
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect. - Nikolas Lessmann, Bram van Ginneken:
Random smooth gray value transformations for cross modality learning with gray value invariant networks. - Bertrand Jayles, Ramón Escobedo, Stéphane Cezera, Adrien Blanchet, Tatsuya Kameda, Clément Sire, Guy Theraulaz:
The impact of incorrect social information on collective wisdom in human groups. - Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz:
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions. - Corentin Guezenoc, Renaud Séguier:
A Wide Dataset of Ear Shapes and Pinna-Related Transfer Functions Generated by Random Ear Drawings. - Corentin Guezenoc, Renaud Séguier:
HRTF Individualization: A Survey. - Gerrit J. J. van den Burg, Christopher K. I. Williams:
An Evaluation of Change Point Detection Algorithms. - Shahaboddin Shamshirband, Narjes Nabipour, Masoud Hadipoor, Alireza Baghban, Amir Mosavi:
Comparative analysis of machine learning models for Ammonia Capture of Ionic Liquids. - Jeffrey Ens, Philippe Pasquier:
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style. - Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. - Francesco Lazzarotto, Gabriele Cremonese, Alice Lucchetti, Cristina Re, Emanuele Simioni, Maurizio Pajola, Pamela Cambianca, Giovanni Munaretto:
High Quality Software for Planetary Science from Space. - Orli Herscovici, Johann A. Makowsky, Vsevolod Rakita:
Harary polynomials. - Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe:
BayesFlow: Learning complex stochastic models with invertible neural networks. - Shovanur Haque, Kerrie L. Mengersen:
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage. - Sushil Bhunia, Ayan Mahalanobis, Pralhad Shinde, Anupam Singh:
Algorithms in Linear Algebraic Groups. - Jorge Caravantes, J. Rafael Sendra, David Sevilla, Carlos Villarino:
Transforming ODEs and PDEs with radical coefficients into rational coefficients. - Pai-Yu Tan, Po-Yao Chuang, Yen-Ting Lin, Cheng-Wen Wu, Juin-Ming Lu:
A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification. - Veera Rajesh Kumar Korupalli, Susan Elias:
Predictive Analysis for Detection of Human Neck Postures using a robust integration of kinetics and kinematics. - María Santamaría, Ebroul Izquierdo, Saverio G. Blasi, Marta Mrak:
Estimation of Rate Control Parameters for Video Coding Using CNN. - Waqar Ahmad, Misbah Kazmi, Hazrat Ali:
Human Activity Recognition using Multi-Head CNN followed by LSTM. - Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis, Peter Corcoran:
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages. - Ziming Gao, Yuan Gao, Yi Hu, Zhengyong Jiang, Jionglong Su:
Application of Deep Q-Network in Portfolio Management. - Cyrille W. Combettes, Sebastian Pokutta:
Boosting Frank-Wolfe by Chasing Gradients. - Stephen Diadamo, Janis Nötzel, Benjamin Zanger, Mehmet Mert Bese:
QuNetSim: A Software Framework for Quantum Networks. - Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan:
Equivariant flow-based sampling for lattice gauge theory. - Sérgio N. Silva, Felipe F. Lopes, Carlos Valderrama, Marcelo A. C. Fernandes:
Proposal of a Takagi-Sugeno Fuzzy-PI Controller Hardware. - Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Julian Simeonov, Mahdi Abdelguerfi:
Random Forest Classifier Based Prediction of Rogue waves on Deep Oceans. - Xingyu Zhou, Ness B. Shroff:
A Note on Stein's Method for Heavy-Traffic Analysis. - Yu-Min Chung, William Cruse, Austin Lawson:
A Persistent Homology Approach to Time Series Classification. - Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim:
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. - Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Haye H. Glas, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen:
Recurrent convolutional neural networks for mandible segmentation from computed tomography. - Ayman Chaouki, Stephen Hardiman, Christian Schmidt, Emmanuel Sérié, Joachim De Lataillade:
Deep Deterministic Portfolio Optimization. - Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola:
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. - Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. - Xinyi Zeng, Qian Zhang, Jia Chen, Guixu Zhang, Aimin Zhou, Yiqin Wang:
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation. - Jung Heon Song, Matthias Maier, Mitchell Luskin:
Nonlinear eigenvalue problems for coupled Helmholtz equations modeling gradient-index graphene waveguides. - Lei Li, Zhenli Xu, Yue Zhao:
A random-batch Monte Carlo method for many-body systems with singular kernels. - Tomoei Takahashi, George Chikenji, Kei Tokita:
Lattice protein design using Bayesian learning. - Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing. - Nantheera Anantrasirichai, Majid Geravand, David Braendler, David R. Bull:
Fast Depth Estimation for View Synthesis. - Davide Berghi, Hanne Stenzel, Marco Volino, Adrian Hilton, Philip J. B. Jackson:
Audio-Visual Spatial Aligment Requirements of Central and Peripheral Object Events. - You Li, Pierre Duthon, Michèle Colomb, Javier Ibañez-Guzmán:
What happens for a ToF LiDAR in fog? - Maksim Kitsak:
Latent Geometry for Complementarity-Driven Networks. - Xiaohuan Xue:
Improved Approximations of Hedges' g. - Kevin D. Stubbs, Alexander B. Watson, Jianfeng Lu:
Existence and computation of generalized Wannier functions for non-periodic systems in two dimensions and higher. - Shuxing Li, Alexander Pott:
Intersection distribution, non-hitting index and Kakeya sets in affine planes. - Zack Hodari, Catherine Lai, Simon King:
Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0. - Alex Olshevsky:
Asymptotic Network Independence and Step-Size for A Distributed Subgradient Method. - Sudarshan Ramenahalli:
A proto-object based audiovisual saliency map. - Omri Tal, Tat Dat Tran:
Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon. - Simen Kvaal, Andre Laestadius, Tilmann Bodenstein:
Guaranteed convergence for a class of coupled-cluster methods based on Arponen's extended theory. - Ioannis D. Apostolopoulos:
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating. - Thierry Dumas, Franck Galpin, Philippe Bordes:
Iterative training of neural networks for intra prediction. - Lixiang Li, Zihang Yang, Zhongkai Dang, Cui Meng, Jingze Huang, Hao Tian Meng, Deyu Wang, Guanhua Chen, Jiaxuan Zhang, Haipeng Peng:
Propagation analysis and prediction of the COVID-19. - Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models. - Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi:
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training. - Martin Redmann, Christian Bayer, Pawan Goyal:
Low-dimensional approximations of high-dimensional asset price models. - Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu:
Camera Trace Erasing. - Hossein Keshavarz, George Michailidis:
Online detection of local abrupt changes in high-dimensional Gaussian graphical models. - Francesco Casella:
Can the COVID-19 epidemic be managed on the basis of daily data? - Kelvin Say, Wolf-Peter Schill, Michele John:
Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage. - Rong Xia, Yong Xiao, Yingyu Li, Marwan Krunz, Dusit Niyato:
A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network. - Xi Chen, Yining Wang:
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. - Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Lianwu Chen, Yuexian Zou, Dong Yu:
Multi-modal Multi-channel Target Speech Separation. - Meng Chen, Xiaohui Yu, Yang Liu:
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction. - Tiago P. Peixoto:
Merge-split Markov chain Monte Carlo for community detection. - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk:
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks. - Zebin Yang, Aijun Zhang, Agus Sudjianto:
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions. - Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra:
Iterative Pre-Conditioning to Expedite the Gradient-Descent Method. - Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
The Elliptical Processes: a New Family of Flexible Stochastic Processes. - Hsu-Yung Cheng, Ping-Huan Kuo, Yamin Shen, Chiou-Jye Huang:
Deep Convolutional Neural Network Model for Short-Term Electricity Price Forecasting. - Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. - Diogo Lopes, António Ramires Fernandes, Stéphane Clain:
An Hybrid Method for the Estimation of the Breast Mechanical Parameters. - David Pastor-Escuredo, Enrique Frías-Martínez:
Flow descriptors of human mobility networks. - J. Warner, A. Devaraj, Risto Miikkulainen:
Using context to make gas classifiers robust to sensor drift. - Elias Fernández Domingos, Jelena Grujic, Juan C. Burguillo, Georg Kirchsteiger, Francisco C. Santos, Tom Lenaerts:
Timing uncertainty in collective risk dilemmas encourages group reciprocation and polarization. - Ofir Lindenbaum, Stefan Steinerberger:
Randomly Aggregated Least Squares for Support Recovery. - Sven Brüggemann, Robert R. Bitmead:
Exponential convergence of recursive least squares with forgetting factor for multiple-output systems. - Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. - Shmuel Friedland, Lek-Heng Lim:
Symmetric Grothendieck inequality. - Dave DeCaprio, Joseph Gartner, Thadeus Burgess, Sarthak Kothari, Shaayan Sayed, Carol J. McCall:
Building a COVID-19 Vulnerability Index. - Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
TensorFlow Audio Models in Essentia. - Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark:
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions. - Yican Chen, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang:
u-net CNN based fourier ptychography. - Bas Peters, Eldad Haber, Keegan Lensink:
Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing. - Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong:
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. - Sunho Kim, Byungjai Kim, HyunWook Park:
Synthesis of Brain Tumor MR Images for Learning Data Augmentation. - Daisuke Inoue, Akihisa Okada, Tadayoshi Matsumori, Kazuyuki Aihara, Hiroaki Yoshida:
Traffic Signal Optimization on a Square Lattice using the D-Wave Quantum Annealer. - Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited. - Ming Ding, Jun Zou, Zeng Yang, Hanwen Luo, Wen Chen:
Sequential and Incremental Precoder Design for Joint Transmission Network MIMO Systems with Imperfect Backhaul. - Ming Ding, Meng Zhang, Hanwen Luo, Wen Chen:
Leakage-Based Robust Beamforming for Multi-Antenna Broadcast System with Per-Antenna Power Constraints and Quantized CDI. - Ming Ding, Shi Liu, Hanwen Luo, Wen Chen:
MMSE Based Greedy Antenna Selection Scheme for AF MIMO Relay Systems. - Cunhang Fan, Jianhua Tao, Bin Liu, Jiangyan Yi, Zhengqi Wen, Xuefei Liu:
Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method. - Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang:
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning. - Malik Magdon-Ismail:
Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics. - Nayana Das, Ritajit Majumdar:
Comment on "Quantum key agreement protocol". - Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski:
Fair inference on error-prone outcomes. - Akshay Subramanian, Utkarsh Saha, Tejasvini Sharma, Naveen K. Tailor, Soumitra Satapathi:
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach. - Latifa Jackson, Heriberto Acosta Maestre:
The Data Science Fire Next Time: Innovative strategies for mentoring in data science. - Esther Rituerto-González, Carmen Peláez-Moreno:
End-to-end Recurrent Denoising Autoencoder Embeddings for Speaker Identification. - Anirudh Mani, Shruti Palaskar, Nimshi Venkat Meripo, Sandeep Konam, Florian Metze:
ASR Error Correction and Domain Adaptation Using Machine Translation. - P. P. Ebner, A. Eltelt:
Audio inpainting with generative adversarial network. - Ehsan Variani, David Rybach, Cyril Allauzen, Michael Riley:
Hybrid Autoregressive Transducer (hat). - Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib, Sungmee Park, Sundaresan Jayaraman:
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. - Stefan Lenz, Harald Binder:
Deep generative models in DataSHIELD. - Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang, Huiyu Zhou, Jie Yang:
A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images. - Jean Ollion, Charles Ollion:
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine. - Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi:
Virtual staining for mitosis detection in Breast Histopathology. - Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani:
The Implicit Regularization of Stochastic Gradient Flow for Least Squares. - Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu:
SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms. - Radu Ioan Bot, Michael Sedlmayer, Phan Tu Vuong:
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. - Lawrence G. Phillips, David B. Grimes, Yihan Jessie Li:
Teacher-Student Domain Adaptation for Biosensor Models. - Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng:
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. - Germán Kruszewski, Tomás Mikolov:
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution. - Cheryl Sital, Tom Brosch, Dominique Tio, Alexander Raaijmakers, Jürgen Weese:
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images. - Miriam Zulema Jacobo, José Mejía:
Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture. - Yassir Jedra, Alexandre Proutière:
Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator. - Luca Mazzola, Alexander Denzler, Ramón Christen:
Towards a Peer-to-Peer Energy Market: an Overview. - Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar:
Deliberation Model Based Two-Pass End-to-End Speech Recognition. - Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. - Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel T. Coimbra:
Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization. - Wei Wang, Shiwen Zhang:
The exponential decay of eigenfunctions for tight binding Hamiltonians via landscape and dual landscape functions. - Daniele Bigoni, Yuming Chen, Nicolás García Trillos, Youssef M. Marzouk, Daniel Sanz-Alonso:
Data-Driven Forward Discretizations for Bayesian Inversion. - Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. - Marius Hofert:
Random number generators produce ties: Why and how many. - Qi Xia, Haojie Liu, Zhan Ma:
Object-Based Image Coding: A Learning-Driven Revisit. - Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li, H. Vincent Poor:
Gradient Estimation for Federated Learning over Massive MIMO Communication Systems. - Zhiguang Zhao:
Sahlqvist Correspondence Theory for Sabotage Modal Logic. - Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian:
Acceleration with a Ball Optimization Oracle. - Babak Barazandeh, Meisam Razaviyayn:
Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method. - Laura Palagi, Ruggiero Seccia:
Block Layer Decomposition schemes for training Deep Neural Networks. - Arnab Bhadra, Kalidas Yeturu:
Site2Vec: a reference frame invariant algorithm for vector embedding of protein-ligand binding sites. - Sven Banisch, Felix Gaisbauer, Eckehard Olbrich:
How social feedback processing in the brain shapes collective opinion processes in the era of social media. - Andrew Adamatzky, Eric Goles, Genaro J. Martínez, Michail-Antisthenis I. Tsompanas, Martin Tegelaar, Han A. B. Wosten:
Fungal Automata. - Wim Michiels, Suat Gumussoy:
Characterization and computation of H-infinity norms for time-delay systems. - Akshay J. Dave, Annalisa Manera:
Inference of Gas-liquid Flowrate using Neural Networks. - Van-Phuc Bui, Van-Dinh Nguyen, Hieu V. Nguyen, Octavia A. Dobre, Oh-Soon Shin:
Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems. - Seçkin Barisik, Ilke Ercan:
Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors. - Mostafa Kiani:
Identification and Classification of Phenomena in Multispectral Satellite Imagery Using a New Image Smoother Method and its Applications in Environmental Remote Sensing. - Hamid Reza Daneshpajouh, Frédéric Meunier, Guilhem Mizrahi:
Colorings of complements of line graphs. - Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Logistic-Regression with peer-group effects via inference in higher order Ising models. - Luca Ballotta, Luca Schenato, Luca Carlone:
From Sensor to Processing Networks: Optimal Estimation with Computation and Communication Latency. - Seyed Hadi Mirfarshbafan, Christoph Studer:
Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems. - Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan:
Weakly Supervised PET Tumor Detection Using Class Response. - Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. - Cankun Qiu, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang:
Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm. - Daewa Kim, Annalisa Quaini:
Coupling kinetic theory approaches for pedestrian dynamics and disease contagion in a confined environment. - Kürsat Tekbiyik, Özkan Akbunar, Ali Riza Ekti, Ali Görçin, Günes Karabulut-Kurt:
Real-World Considerations for Deep Learning in Wireless Signal Identification Based on Spectral Correlation Function. - Yong-Liang Xiao, Rongguang Liang, Jianxin Zhong, Xianyu Su, Zhisheng You:
Compatible Learning for Deep Photonic Neural Network. - Boaz Fish, Ben-Zion Bobrovsky:
Neural Network Tracking of Moving Objects with Unknown Equations of Motion. - Chao Han, Yi Gu, Guohua Wu, Xinwei Wang:
Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty. - Marko Aunedi, Timothy C. Green:
Early Insights into System Impacts of Smart Local Energy Systems. - Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton:
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. - Giulia Meuli, Mathias Soeken, Martin Roetteler, Thomas Häner:
Automatic accuracy management of quantum programs via (near-)symbolic resource estimation. - Weinan Song, Yuan Liang, Kun Wang, Lei He:
Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray. - Gabriel Bernardino, Amir Hodzic, Hélène Langet, Mathieu De Craene, Miguel Ángel González Ballester, Eric Saloux, Bart H. Bijnens:
Volumetric parcellation of the right ventricle for regional geometric and functional assessment. - Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille:
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani:
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning. - Erhan Bayraktar, H. Vincent Poor, Xin Zhang:
Malicious Experts versus the multiplicative weights algorithm in online prediction. - Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan:
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. - Tobias Klöffel, Gerald Mathias, Bernd Meyer:
Integrating State of the Art Compute, Communication, and Autotuning Strategies to Multiply the Performance of the Application Programm CPMD for Ab Initio Molecular Dynamics Simulations. - (Withdrawn) Extremal Region Analysis based Deep Learning Framework for Detecting Defects.
- Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie:
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking. - Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang:
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. - Yang Lou, Yaodong He, Lin Wang, Kim Fung Tsang, Guanrong Chen:
Knowledge-Based Prediction of Network Controllability Robustness. - Xiong Lyu, Mike Ludkovski:
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation. - Deepak Singla, Soham Chatterjee, Lavanya Ramapantulu, Andrés Ussa, Bharath Ramesh, Arindam Basu:
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture. - Kudaibergen Urinbayev, Yerassyl Orazbek, Yernur Nurambek, Almas Mirzakhmetov, Huseyin Atakan Varol:
End-to-End Deep Diagnosis of X-ray Images. - Shibei Xue, Lingyu Tan, Rebing Wu, Min Jiang, Ian R. Petersen:
An inverse-system method for identification of damping rate functions in non-Markovian quantum systems. - Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski:
RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. - Takashi Takahashi, Yoshiyuki Kabashima:
Semi-analytic approximate stability selection for correlated data in generalized linear models. - Dimitrios S. Karachalios, Ion Victor Gosea, Athanasios C. Antoulas:
On Bilinear Time Domain Identification. - Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro:
Faster SVM Training via Conjugate SMO. - Armin Nurkanovic, Tommaso Sartor, Sebastian Albrecht, Moritz Diehl:
A Time-Freezing Approach for Numerical Optimal Control of Nonsmooth Differential Equations with State Jumps. - Marco A. V. M. Grinet, Nuno M. Garcia, Ana Isabel Rodrigues Gouveia, Jose A. F. Moutinho, Abel João Padrão Gomes:
Reduction of Surgical Risk Through the Evaluation of Medical Imaging Diagnostics. - Pierre-Alain Toupance, Bastien Chopard, Laurent Lefèvre:
Identification of complex network topologies through delayed mutual information. - Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Approximately Supermodular Scheduling Subject to Matroid Constraints. - Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
Brain tumor segmentation with missing modalities via latent multi-source correlation representation. - Zichong Li, Yangyang Xu:
Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity. - Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen:
GIQA: Generated Image Quality Assessment. - Yuzhou Liu, Balaji Thoshkahna, Ali Milani, Trausti Kristjansson:
Voice and accompaniment separation in music using self-attention convolutional neural network. - Mehran Soltani, Vahid Pourahmadi, Hamid Sheikhzadeh:
Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems. - Tácito T. A. T. Neves, Rafael Messias Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando Vieira Paulovich:
Xtreaming: an incremental multidimensional projection technique and its application to streaming data. - Quan Thoi Minh Nguyen:
Intuitive Understanding of Quantum Computation and Post-Quantum Cryptography. - Julian Lo, Morgan Heisler, Vinicius Vanzan, Sonja Karst, Ivana Zadro Matovinovic, Sven Loncaric, Eduardo V. Navajas, Mirza Faisal Beg, Marinko V. Sarunic:
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning. - Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram:
Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions. - Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir:
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. - Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie:
Kidney segmentation using 3D U-Net localized with Expectation Maximization. - Nikan K. Namiri, Io Flament, Bruno Astuto, Rutwik Shah, Radhika Tibrewala, Francesco Calivá, Thomas M. Link, Valentina Pedoia, Sharmila Majumdar:
Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning. - Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Localized sketching for matrix multiplication and ridge regression. - Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim:
Learning the Loss Functions in a Discriminative Space for Video Restoration. - Fei Tao, Gökhan Tür:
Improving Embedding Extraction for Speaker Verification with Ladder Network. - Martin Eberhart:
Efficient algorithm for calculating transposed PSF matrices for 3D light field deconvolution. - Yoonjae Jeong, Hoon-Young Cho:
Detecting Mismatch between Text Script and Voice-over Using Utterance Verification Based on Phoneme Recognition Ranking. - Sobhan Kanti Dhara, Debashis Sen:
Across-scale Process Similarity based Interpolation for Image Super-Resolution. - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
A unified framework for spectral clustering in sparse graphs. - Misgina Tsighe Hagos:
Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation. - Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. - Alexandre Morin, Jorge Samper-González, Anne Bertrand, Sebastian Ströer, Didier Dormont, Aline Mendes, Pierrick Coupé, Jamila Ahdidan, Marcel Lévy, Dalila Samri, Harald Hampel, Bruno Dubois, Marc Teichmann, Stéphane Epelbaum, Olivier Colliot:
Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort. - Sameer Agarwal, Andrew Pryhuber, Rainer Sinn, Rekha R. Thomas:
Multiview Chirality. - Alessio Lapolla, Aljaz Godec:
BetheSF: Efficient computation of the exact tagged particle propagator in single file systems via the Bethe eigenspectrum. - Nikhil Varma Keetha, Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu:
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation. - Yuan Gao, Robert Bregovic, Atanas P. Gotchev:
Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency. - Sean Dewar, Georg Grasegger, Jan Legerský:
Flexible placements of graphs with rotational symmetry. - Mattia Bianchi, Giuseppe Belgioioso, Sergio Grammatico:
Fast generalized Nash equilibrium seeking under partial-decision information. - Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha:
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG. - Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor:
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks. - Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann:
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. - Anthony C. Constantinou:
Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. - Mostafa Kiani:
Image Gravimetry: A New Remote Sensing Approach for Gravity Analysis in Geophysics. - Insaf Setitra, Noureddine Aouaa, Abdelkrim Meziane, Afef Benrabia, Houria Kaced, Hanene Belabassi, Sara Ait Ziane, Nadia Henda Zenati, Oualid Djekkoune:
RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up. - Sergey Bravyi, Dmitri Maslov:
Hadamard-free circuits expose the structure of the Clifford group. - Kirill P. Kalinin, Alberto Amo, Jacqueline Bloch, Natalia G. Berloff:
Polaritonic XY-Ising Machine. - Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu:
Quantum noise protects quantum classifiers against adversaries. - Anh Tran, Scott McCann, John M. Furlan, Krishnan V. Pagalthivarthi, Robert J. Visintainer, Tim Wildey:
aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. - Tim Aschenbruck, Willem Esterhuizen, Murali Padmanabha, Stefan Streif:
Sustainability Analysis of Interconnected Food Production Systems via Theory of Barriers. - Xiaohan Fu, Lo-Bin Chang, Dongbin Xiu:
Learning reduced systems via deep neural networks with memory. - Paulo Hubert:
Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates. - Steven Finch:
Cantor-solus and Cantor-multus Distributions. - Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi:
Weighted Meta-Learning. - Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury:
Non-Adversarial Video Synthesis with Learned Priors. - Tristan Curry, Robert Abbas:
5G Coverage, Prediction, and Trial Measurements. - Svante Janson, Wojciech Szpankowski:
Hidden Words Statistics for Large Patterns. - Yilin Luo, Luzhe Huang, Yair Rivenson, Aydogan Ozcan:
Single-shot autofocusing of microscopy images using deep learning. - Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan:
Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms". - Yanan Liu, Daoyi Dong, Ian R. Petersen, Qing Gao, Steven X. Ding, Shota Yokoyama, Hidehiro Yonezawa:
Fault-tolerant Coherent H-infinity Control for Linear Quantum Systems. - Adam Peace:
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography. - T. Srinivasa Murthy:
A proof of the Total Coloring Conjecture. - Moeness G. Amin, Arun Ravisankar, Ronny G. Guendel:
RF Sensing for Continuous Monitoring of Human Activities for Home Consumer Applications. - Agostino Martinelli:
Rank Conditions for Observability and Controllability for Time-varying Nonlinear Systems. - Ahmet Alacaoglu, Yura Malitsky, Panayotis Mertikopoulos, Volkan Cevher:
A new regret analysis for Adam-type algorithms. - Michael Kapralov, Navid Nouri, Ilya P. Razenshteyn, Ameya Velingker, Amir Zandieh:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. - Devon R. Graham, Satish Kumar Sarraf, Taylor Lundy, Ali MohammadMehr, Sara Uppal, Tae-Yoon Lee, Hedayat Zarkoob, Scott Duke Kominers, Kevin Leyton-Brown:
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver. - Fedor Ratnikov:
Generative Adversarial Networks for LHCb Fast Simulation. - Yonghui Zhang, Ke Gu:
AQPDCITY Dataset: Picture-Based PM2.5 Monitoring in the Urban Area of Big Cities. - Ahmed Allibhoy, Jorge Cortés:
Data-based Receding Horizon Control of Linear Network Systems. - Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen:
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. - Giulia Giordano, Franco Blanchini, Raffaele Bruno, Patrizio Colaneri, Alessandro Di Filippo, Angela Di Matteo, Marta Colaneri:
A SIDARTHE Model of COVID-19 Epidemic in Italy. - Charlie Vanaret, Jean-Baptiste Gotteland, Nicolas Durand, Jean-Marc Alliot:
Certified Global Minima for a Benchmark of Difficult Optimization Problems. - Linda Wang, Alexander Wong:
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images. - Thomas Hubregtsen, Josef Pichlmeier, Koen Bertels:
Evaluation of Parameterized Quantum Circuits: on the design, and the relation between classification accuracy, expressibility and entangling capability. - Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Impairment Recognition Using a Correlation-Based Feature Representation. - Thai Son Nguyen, Jan Niehues, Eunah Cho, Thanh-Le Ha, Kevin Kilgour, Markus Müller, Matthias Sperber, Sebastian Stüker, Alex Waibel:
Low Latency ASR for Simultaneous Speech Translation. - Roman E. Rolón, Iván E. Gareis, L. D. Larrateguy, Leandro E. Di Persia, Ruben Daniel Spies, Hugo Leonardo Rufiner:
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals. - Michelangelo Bin, Peter Y. K. Cheung, Emanuele Crisostomi, Pietro Ferraro, Connor Myant, Thomas Parisini, Robert Shorten:
On Fast Multi-Shot Epidemic Interventions for Post Lock-Down Mitigation: Implications for Simple Covid-19 Models. - Kaizheng Wang, Yuling Yan, Mateo Díaz:
Efficient Clustering for Stretched Mixtures: Landscape and Optimality. - Kurt Riedel:
Hessenberg Input Normal Representations. - Adela DePavia, Stefan Steinerberger:
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector. - Da-Jung Cho, Matthias Függer, Corbin Hopper, Manish Kushwaha, Thomas Nowak, Quentin Soubeyran:
Distributed Computation with Continual Population Growth. - Hua Lan, Zengfu Wang, Xianglong Bai, Quan Pan, Kun Lu:
Over-the-Horizon Radar Network Measurement-Level Fusion Based on Message Passing Approach. - Kyle J. Ray, James P. Crutchfield:
Variations on a Demonic Theme: Szilard's Other Engines. - Gerson R. Santos, Marcela P. Figueiredo, Antonio de Pádua Santos, Pavlos Protopapas, Tiago A. E. Ferreira:
Gravitational Wave Detection and Information Extraction via Neural Networks. - Yusheng Xiang, Marcus Geimer:
Optimization of Operation Startegy for Primary Torque based hydrostatic Drivetrain using Artificial Intelligence. - Arthur Charpentier, Romuald Elie, Carl Remlinger:
Reinforcement Learning in Economics and Finance. - Gianluca Bianchin, Fabio Pasqualetti:
Routing Apps May Deteriorate Stability in Traffic Networks: Oscillating Congestions and Robust Information Design. - Thai-Son Nguyen, Ngoc-Quan Pham, Sebastian Stüker, Alex Waibel:
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition. - Jeonghwan Lee, Daesung Kim, Hye Won Chung:
Hypergraph Clustering in the Weighted Stochastic Block Model via Convex Relaxation of Truncated MLE. - Gohar M. Kyureghyan, Shuxing Li, Alexander Pott:
On the intersection distribution of degree three polynomials and related topics. - Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. - Dongchuan Yang, Ju'e Guo, Jie Li, Shouyang Wang, Shaolong Sun:
Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight. - Jeff Erickson, Patrick Lin:
A Toroidal Maxwell-Cremona-Delaunay Correspondence. - Sergey Bereg, Brian Malouf, Linda Morales, Thomas Stanley, Ivan Hal Sudborough:
Improved Lower Bounds for Permutation Arrays Using Permutation Rational Functions. - Hideyoshi Yanagisawa:
Information-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty. - Yo-Seb Jeon, Jun Li, Nima Tavangaran, H. Vincent Poor:
Data-Aided Channel Estimator for MIMO Systems via Reinforcement Learning. - Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi:
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. - Mihailo R. Jovanovic:
From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint. - Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang:
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. - Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. - Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna, A. G. Ramakrishnan, Kanishka Sharma:
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation. - Sheryl Le Chang, Nathan Harding, Cameron Zachreson, Oliver M. Cliff, Mikhail Prokopenko:
Modelling transmission and control of the COVID-19 pandemic in Australia. - Anthony Hei Long Chan, Yishan Luo, Lin Shi, Ronald Lok-Ming Lui:
QC-SPHRAM: Quasi-conformal Spherical Harmonics Based Geometric Distortions on Hippocampal Surfaces for Early Detection of the Alzheimer's Disease. - Kenta Cho, Bas Westerbaan, John van de Wetering:
Dichotomy between deterministic and probabilistic models in countably additive effectus theory. 91-113 - Barbara Franci, Sergio Grammatico:
A distributed (preconditioned) projected-reflected-gradient algorithm for stochastic generalized Nash equilibrium problems. - Xinyu Chen, Jinming Yang, Lijun Sun:
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation. - Ana Fernández del Río, Anna Guitart, África Periáñez:
A Time Series Approach To Player Churn and Conversion in Videogames. - Sumon Kumar Bose, Vivek Mohan, Arindam Basu:
A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising. - Gusztáv Gaál, Balázs Maga, András Lukács:
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation. - Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard:
Monte Carlo integration of non-differentiable functions on [0, 1]ι, ι=1, ..., d, using a single determinantal point pattern defined on [0, 1]d. - Ville Salo, Ilkka Törmä:
A Physically Universal Turing Machine. - Maxime Lenormand, Horacio Samaniego, Julio C. Chaves, Vinícius F. Vieira, Moacyr A. H. B. da Silva, Alexandre G. Evsukoff:
Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area. - Jade Nardi:
Projective toric codes. - Willem Esterhuizen, Tim Aschenbruck, Jean Lévine, Stefan Streif:
Maintaining Hard Infection Caps in Epidemics via the Theory of Barriers. - Dairui Liu, Jingxiang Sun, Shen Wang:
BusTime: Which is the Right Prediction Model for My Bus Arrival Time? - Christian A. Naesseth, Fredrik Lindsten, David M. Blei:
Markovian Score Climbing: Variational Inference with KL(p||q). - Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang:
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. - Alessandro Berlati, Oliver Scheel, Luigi Di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. - Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath:
A classification for the performance of online SGD for high-dimensional inference. - He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. - Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. - Wei-Kuo Chen, Wai-Kit Lam:
Universality of Approximate Message Passing Algorithms. - Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha:
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks. - Yarin Gal, Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra:
Baryons from Mesons: A Machine Learning Perspective. - Bryan Van Scoy, Laurent Lessard:
Systematic Analysis of Distributed Optimization Algorithms over Jointly-Connected Networks. - Matt Emschwiller, David Gamarnik, Eren C. Kizildag, Ilias Zadik:
Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena. - Wuchen Li:
Hessian metric via transport information geometry. - Pierre Ambrosini, Eva Hollemans, Charlotte F. Kweldam, Geert J. L. H. van Leenders, Sjoerd Stallinga, Frans Vos:
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images. - Michael Groom, Ben Thornber:
The influence of initial perturbation power spectra on the growth of a turbulent mixing layer induced by Richtmyer-Meshkov instability. - Sanghamitra Dutta, Jianyu Wang, Gauri Joshi:
Slow and Stale Gradients Can Win the Race. - Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization. - Xiaolei Li, Wenhua Song, Dazhi Gao, Wei Gao, Haozhong Wang:
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations. - Naoko Koide-Majima, Kei Majima:
Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning. - Kevin Kuo, Daniel Lupton:
Towards Explainability of Machine Learning Models in Insurance Pricing. - Pu Zhao, Meng Zhang, Hui Yu, Hanwen Luo, Wen Chen:
Robust Beamforming Design for Sum Secrecy Rate Optimization in MU-MISO Networks. - Hu Liang, Shengrong Zhao:
Learning regularization and intensity-gradient-based fidelity for single image super resolution. - Chenglong Wang, Masahiro Oda, Kensaku Mori:
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN. - Tomoyuki Morimae:
Information-theoretically-sound non-interactive classical verification of quantum computing with trusted center. - Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab:
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. - Biraja Ghoshal, Allan Tucker:
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. - Kenjiro Takazawa:
Notes on Equitable Partition into Matching Forests in Mixed Graphs and into b-branchings in Digraphs. - Ori Linial, Danny Eytan, Uri Shalit:
Generative ODE Modeling with Known Unknowns. - Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir M. Rajpoot:
PanNuke Dataset Extension, Insights and Baselines. - Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
Registration by tracking for sequential 2D MRI. - Thi Phuoc Hanh Nguyen, Zinan Cai, Khanh Nguyen, Sokuntheariddh Keth, Ningyuan Shen, Mira Park:
Pre-processing Image using Brightening, CLAHE and RETINEX. - Conrad James Foley, Sagar Vaze, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova:
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework. - Ali Narin, Ceren Kaya, Ziynet Pamuk:
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks. - Antonio Ragagnin, Klaus Dolag, Mathias Wagner, Claudio Gheller, Conradin Roffler, David Goz, David Hubber, Alexander Arth:
Gadget3 on GPUs with OpenACC. - Mattia Bianchi, Sergio Grammatico:
Fully distributed Nash equilibrium seeking over time-varying communication networks with linear convergence rate. - Shahab Boumi, Adan Vela, Jacquelyn J. Chini:
Quantifying the relationship between student enrollment patterns and student performance. - Yunfeng Cai, Ping Li:
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. - Connor Riley, Pascal Van Hentenryck, Enpeng Yuan:
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. - Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg:
Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. - Yunfeng Cai, Ping Li:
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations. - Josué Page, Federico Saltarin, Yury Belyaev, Ruth Lyck, Paolo Favaro:
Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images. - Sara Khosravi, Hossein Shokri Ghadikolaei, Marina Petrova:
Learning-based Handover in Mobile Millimeter-wave Networks. - Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. - Ezz El-Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar:
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images. - Charles N. Christensen, Edward N. Ward, Pietro Lió, Clemens F. Kaminski:
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images. - Hélène Barcelo, Valerio Capraro:
Punishing defectors and rewarding cooperators: Do people discriminate between genders? - Pantelis-Daniel M. Arapoglou, Stefano Cioni, Emiliano Re, Alberto Ginesi:
Direct Access to 5G New Radio User Equipment from NGSO Satellites in Millimeter Waves. - Ward Whitt, Wei You:
A Robust Queueing Network Analyzer Based on Indices of Dispersion. - Saeed Izadi, Ghassan Hamarneh:
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. - Gamal Mograby, Maxim S. Derevyagin, Gerald V. Dunne, Alexander Teplyaev:
Spectra of Perfect State Transfer Hamiltonians on Fractal-Like Graphs. - Xi Chen, Qiang Liu, Xin T. Tong:
Dimension Independent Generalization Error with Regularized Online Optimization. - Meng Zhang, Jian Huang, Hui Yu, Hanwen Luo, Wen Chen:
QoS-Based Source and Relay Secure Optimization Design with Presence of Channel Uncertainty. - Yuejun Wei, Ming Jiang, Wen Chen, Yuhang Yang:
A CRC-aided Hybrid Decoding for Turbo Codes. - Yuejun Wei, Yuhang Yang, Ming Jiang, Wen Chen, Lili Wei:
Joint Shortening and Puncturing Optimization for Structured LDPC Codes. - Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Zeroth-order Optimization on Riemannian Manifolds. - Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao:
Content Adaptive and Error Propagation Aware Deep Video Compression. - Narcisse Bang Mbang, Emmanuel Fouotsa, Célestin Lélé:
Parallel Computation of Optimal Ate Cryptographic Pairings at the 128, 192 and 256-bit security levels using elliptic net algorithm. - Jingzhu Wang, Xiwei Liu:
Global μ-stability and finite-time control of octonion-valued neural networks with unbounded delays. - Sebastián Pérez Vasseur, José Luis Aznarte:
Probabilistic forecasting approaches for extreme NO2 episodes: a comparison of models. - Alexandre Anahory Simoes, Juan Carlos Marrero, David Martín de Diego:
Exact discrete Lagrangian mechanics for nonholonomic mechanics. - Stefan Kober, Stefan Weltge:
Improved lower bound on the dimension of the EU council's voting rules. - Marek Kaluba, Benjamin Lorenz, Sascha Timme:
Polymake.jl: A new interface to polymake. - Georg Grasegger, Jan Legerský, Josef Schicho:
On the Classification of Motions of Paradoxically Movable Graphs. - Luis Sanguiao Sande, Li-Chun Zhang:
Design-unbiased statistical learning in survey sampling. - Gal Levy-Fix, Jason Zucker, Konstantin Stojanovic, Noémie Elhadad:
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients. - Zoltán Kovács:
Two almost-circles, and two real ones. - Yoshitomo Okawachi, Mengjie Yu, Jae K. Jang, Xingchen Ji, Yun Zhao, Bok Young Kim, Michal Lipson, Alexander L. Gaeta:
Nanophotonic spin-glass for realization of a coherent Ising machine. - Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. - Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown:
Learning to Correct Overexposed and Underexposed Photos. - Joseph Paul Cohen, Paul Morrison, Lan Dao:
COVID-19 Image Data Collection. - Ioannis D. Apostolopoulos, Tzani Bessiana:
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks. - Noga Alon:
Explicit expanders of every degree and size. - Shashwat Sharma, Piero Triverio:
A Fully-Accelerated Surface Integral Equation Method for the Electromagnetic Modeling of Arbitrary Objects. - Yiting Jiang, Jaroslav Nesetril, Patrice Ossona de Mendez, Sebastian Siebertz:
Regular partitions of gentle graphs. - Yi-Chiao Wu, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Hayashi, Tomoki Toda:
Non-parallel Voice Conversion System with WaveNet Vocoder and Collapsed Speech Suppression. - Ilsang Ohn, Yongdai Kim:
Nonconvex sparse regularization for deep neural networks and its optimality. - Yihui Quek, Clément L. Canonne, Patrick Rebentrost:
Robust quantum minimum finding with an application to hypothesis selection. - Yadong Wu, Zengming Meng, Kai Wen, Chengdong Mi, Jing Zhang, Hui Zhai:
Active Learning Approach to Optimization of Experimental Control. - Lia Strenge, Paul Schultz, Jürgen Kurths, Jörg Raisch, Frank Hellmann:
A multilayer, multi-timescale model approach for economic and frequency control in power grids. - Zhicong Lin, Shishuo Fu:
On 120-avoiding inversion and ascent sequences. - Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma:
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images. - Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma:
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net. - Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Giovanni Stegel, Gianmarco Tiddia, Giulia De Bonis, Pier Stanislao Paolucci:
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience. - Özgür B. Akan, Hamideh Ramezani, Meltem Civas, Oktay Cetinkaya, Bilgesu Arif Bilgin, Naveed A. Abbasi:
Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-the-art and Research Challenges. - Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines:
Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders. - Alexandre Anahory Simoes, David Martín de Diego, Manuel de León, Manuel Lainz Valcázar:
On the geometry of discrete contact mechanics. - Venkata Sai Praneeth Karempudi, Sairam Sri Vatsavai, Ishan G. Thakkar:
Redesigning Photonic Interconnects with Silicon-on-Sapphire Device Platform for Ultra-Low-Energy On-Chip Communication. - Shalin Shah:
Analysis of Greenhouse Gases. - Maryam R. Al-Shehhi, Abdullah Kaya:
Time series and machine learning to forecast the water quality from satellite data. - Jonathan A. Weyn, Dale R. Durran, Rich Caruana:
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere. - Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai-Kumar, Suryarghya Chakrabarti, Liping Wang:
Advances in Bayesian Probabilistic Modeling for Industrial Applications. - Lorenzo Rocutto, Claudio Destri, Enrico Prati:
Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer. - Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram:
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering. - Joon Son Chung, Jaesung Huh, Seongkyu Mun, Minjae Lee, Hee Soo Heo, Soyeon Choe, Chiheon Ham, Sunghwan Jung, Bong-Jin Lee, Icksang Han:
In defence of metric learning for speaker recognition. - Johannes Dahlke, Kristina Bogner, Matthias Mueller, Thomas Berger, Andreas Pyka, Bernd Ebersberger:
Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM). - Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen:
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. - Shantanu Gupta, Zachary C. Lipton, David Childers:
Estimating Treatment Effects with Observed Confounders and Mediators. - Richard Clancy, Stephen Becker:
Robust Least Squares for Quantized Data. - Hao Tung, Chao Zheng, Xinsheng Mao, Dahong Qian:
Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network. - Saverio De Vito, Girolamo Di Francia, Elena Esposito, Sergio Ferlito, Fabrizio Formisano, Ettore Massera:
Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices. - Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi:
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. - Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, V. Sowmya:
Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm. - Markus Loecher:
From unbiased MDI Feature Importance to Explainable AI for Trees. - Hamidreza Ehteram, Mohammad Ali Maddah-Ali, Mahtab Mirmohseni:
Corella: A Private Multi Server Learning Approach based on Correlated Queries. - Marcel F. Langer, Alex Goeßmann, Matthias Rupp:
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning. - Carlos E. González-Guillén, María Isabel González Vasco, Floyd Johnson, Angel L. Pérez del Pozo:
Concerning Quantum Identification Without Entanglement. - Arian Azarang, Nasser Kehtarnavaz:
A Review of Multi-Objective Deep Learning Speech Denoising Methods. - Joshua Becker:
The Network Dynamics of Social and Technological Conventions. - John E. San Soucie, Heidi M. Sosik, Yogesh A. Girdhar:
Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations. - Florian Häse, Loïc M. Roch, Alán Aspuru-Guzik:
Gryffin: An algorithm for Bayesian optimization for categorical variables informed by physical intuition with applications to chemistry. - Ruben S. van Bergen, Nikolaus Kriegeskorte:
Going in circles is the way forward: the role of recurrence in visual inference. - Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi:
Q-Learning in Regularized Mean-field Games. - Jianhua Qin, Ebrahim M. Kolahdouz, Boyce E. Griffith:
An immersed interface-lattice Boltzmann method for fluid-structure interaction. - Xingwei Hu:
Sorting Big Data by Revealed Preference with Application to College Ranking. - Benjamin Wells:
A squarefree term not occurring in the Leech sequence. - Jun Li, Youjia Chen, Zihuai Lin, Wen Chen, Branka Vucetic, Lajos Hanzo:
Distributed Caching for Data Dissemination in the Downlink of Heterogeneous Networks. - Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang:
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. - Yi Luo, Nima Mesgarani:
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss. - Mohammad Khosravi, Roy S. Smith:
Nonlinear System Identification with Prior Knowledge of the Region of Attraction. - Mohammad Khosravi, Roy S. Smith:
Convex Nonparametric Formulation for Identification of Gradient Flows. - Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia:
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. - Michael A. Lepori, Chaz Firestone:
Can you hear me now? Sensitive comparisons of human and machine perception. - Sebastian Baunsgaard, Sebastian Benjamin Wrede, Pinar Tözün:
Training for Speech Recognition on Coprocessors. - Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir:
Bayesian Sequential Joint Detection and Estimation under Multiple Hypotheses. - Nathan Kallus, Xiaojie Mao:
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data. - Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. - Fedor Ratnikov:
Using Machine Learning to Speed Up and Improve Calorimeter R&D. - Yoichi Sato, Takamune Asamoto, Yutaro Ono, Ryosuke Goto, Asahi Kitamura, Seiwa Honda:
A Computer-Aided Diagnosis System Using Artificial Intelligence for Proximal Femoral Fractures Enables Residents to Achieve a Diagnostic Rate Equivalent to Orthopedic Surgeons - multi-institutional joint development research. - Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan:
Anchor Attention for Hybrid Crowd Forecasts Aggregation. - Ezequiel Alvarez, Federico Lamagna, Manuel Szewc:
A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer. - Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie E. Kaufman:
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation. - Håkan T. Johansson, A. Furufors, P. Klenze:
Fakernet - small and fast FPGA-based TCP and UDP communication. - Yavdat Il'yasov:
On a generalized Collatz-Wielandt formula and finding saddle-node bifurcations. - Dhruv V. Patel, Assad A. Oberai:
GAN-based Priors for Quantifying Uncertainty. - Thayer Alshaabi, Joshua R. Minot, Michael V. Arnold, Jane Lydia Adams, David Rushing Dewhurst, Andrew J. Reagan, R. Muhamad, Christopher M. Danforth, Peter Sheridan Dodds:
How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. - Alex Golts, Yoav Y. Schechner:
Image compression optimized for 3D reconstruction by utilizing deep neural networks. - Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Distributed Beamforming for Agents with Localization Errors. - Anderson Ara, Mateus Maia, Samuel Macêdo, Francisco Louzada:
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice. - Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. - Michael Taynnan Barros, Harun Siljak, Peter Mullen, Constantinos B. Papadias, Jari A. K. Hyttinen, Nicola Marchetti:
Objective Multi-variable Classification and Inference of Biological Neuronal Networks. - Bin Chen, Alex Alvarado, Sjoerd van der Heide, Menno van den Hout, Hartmut Hafermann, Chigo Okonkwo:
Analysis and Experimental Demonstration of Orthant-Symmetric Four-dimensional 7 bit/4D-sym Modulation for Optical Fiber Communication. - Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang:
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising. - Meyer Scetbon, Zaïd Harchaoui:
Harmonic Decompositions of Convolutional Networks. - A. J. Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K. Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan:
Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. - Mohammad Saeed Sarafraz, Anton V. Proskurnikov, Mohammad Saleh Tavazoei, Peyman Mohajerin Esfahani:
Robust Dynamic Controllers for Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation. - Lukas Kölsch:
On the inverses of Kasami and Bracken-Leander exponents. - Tara Brough:
Automaton semigroup free products revisited. - Andrea Valassi:
Optimising HEP parameter fits via Monte Carlo weight derivative regression. - Marianne Menictas, Sabina Tomkins, Susan A. Murphy:
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health. - Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie:
Convex Recovery of Marked Spatio-Temporal Point Processes. - Rohit Sarma Sarkar, Amrita Mandal, Bibhas Adhikari:
Periodicity of lively quantum walks on cycles with generalized Grover coin. - Pengcheng Zeng, Zhixiang Lin:
Elastic Coupled Co-clustering for Single-Cell Genomic Data. - Jialiang Xu:
Nonuniqueness of Solutions of a Class of 𝓁0-minimization Problems. - Patrik Knopf, Kei Fong Lam, Chun Liu, Stefan Metzger:
Phase-field dynamics with transfer of materials: The Cahn-Hillard equation with reaction rate dependent dynamic boundary conditions. - Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler:
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. - Emanuele Bellini, Chiara Marcolla, Nadir Murru:
On the decoding of 1-Fibonacci error correcting codes. - HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang:
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. - Maryam K. Garba, Tom M. W. Nye, Jonas Lueg, Stephan F. Huckemann:
Information geometry for phylogenetic trees. - Jialiang Xu, Yun-Bin Zhao:
Dual-density-based reweighted 𝓁1-algorithms for a class of 𝓁0-minimization problems. - Jörn Lothar Sesterhenn:
Adjoint-based Data Assimilation of an Epidemiology Model for the Covid-19 Pandemic in 2020. - Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou:
Structure-Preserving Super Resolution with Gradient Guidance. - Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam:
High-Order Residual Network for Light Field Super-Resolution. - Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. - Ji Chen, Xiaodong Li, Zongming Ma:
Nonconvex Matrix Completion with Linearly Parameterized Factors. - Andrey A. Popov, Adrian Sandu:
An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. - Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri:
Planning as Inference in Epidemiological Models. - Honghe Zhu, Cong Wang, Yajie Zhang, Zhixun Su, Guohui Zhao:
Physical Model Guided Deep Image Deraining. - Sebastian Feld, Markus Friedrich, Claudia Linnhoff-Popien:
Optimizing Geometry Compression using Quantum Annealing. - Jaeseob Han, Gyeong Ho Lee, Sangdon Park, Jun Kyun Choi:
Joint Orthogonal Band and Power Allocation for Energy Fairness in WPT System with Nonlinear Logarithmic Energy Harvesting Model. - Muhammad Zaki Almuzakki, Bayu Jayawardhana, Aneel Tanwani:
Nearest Neighbor Control For Practical Stabilization of Passive Nonlinear Systems. - Vitalii Makogin, Yuliya Mishura:
Fractional integrals, derivatives and integral equations with weighted Takagi-Landsberg functions. - Go Kato, Masaki Owari, Masahito Hayashi:
Single-Shot Secure Quantum Network Coding for General Multiple Unicast Network with Free One-Way Public Communication. - Mayukh Nath, Shovan Maity, Shitij Avlani, Scott Weigand, Shreyas Sen:
Inter-Body Coupling in Electro-Quasistatic Human Body Communication: Theory and Analysis of Security and Interference Properties. - Peter Beelen, Johan Rosenkilde, Grigory Solomatov:
Fast Encoding of AG Codes over Cab Curves. - Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban:
Towards Deep Learning Models Resistant to Large Perturbations. - Steph-Yves M. Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu:
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. - Muammar El Khatib, Wibe A. de Jong:
ML4Chem: A Machine Learning Package for Chemistry and Materials Science. - Michael Filletti, Aaron Grech:
Using News Articles and Financial Data to predict the likelihood of bankruptcy. - Jianxiong Guo, Xingjian Ding, Weili Wu:
Combined Cooling, Heating, and Power System in Blockchain-Enabled Energy Management. - Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan:
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials. - Valentin Rigoni, Alireza Soroudi, Andrew Keane:
Autonomous characterization of unbalanced LV feeders operation without remote monitoring. - Saeed Nosratabadi, Amir Mosavi, Puhong Duan, Pedram Ghamisi:
Data Science in Economics. - Yong Zhao, Kunpeng Yuan, Yinqiao Liu, Steph-Yves M. Louis, Ming Hu, Jianjun Hu:
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks. - Shion Takeno, Yuhki Tsukada, Hitoshi Fukuoka, Toshiyuki Koyama, Motoki Shiga, Masayuki Karasuyama:
Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling. - Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. - Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo:
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek:
Interval Neural Networks as Instability Detectors for Image Reconstructions. - Giuseppe Di Benedetto, François Caron, Yee Whye Teh:
Non-exchangeable feature allocation models with sublinear growth of the feature sizes. - Subrato Bharati, Prajoy Podder:
Diagnosis of Breast Cancer using Hybrid Transfer Learning. - Zuzana Patáková, Martin Tancer, Uli Wagner:
Barycentric cuts through a convex body. - Lars Kastner, Marta Panizzut:
Hyperplane arrangements in polymake. - Di Ma, Fan Zhang, David R. Bull:
BVI-DVC: A Training Database for Deep Video Compression. - Diptangshu Sen, Kushaagra Goyal, Arnob Ghosh, Varun Ramamohan:
Discriminatory Price Mechanism for Smart Grid. - Elisabeth Gaar:
On different Versions of the Exact Subgraph Hierarchy for the Stable Set Problem. - Qiujiang Jin, Aryan Mokhtari:
Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods. - Tara Brough:
Word problem languages for completely regular semigroups. - Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems. - Faouzi Triki, Tao Yin:
Inverse conductivity equation with internal data. - (Withdrawn) Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset.
- Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai:
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. - Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo:
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
A generalized Hausdorff distance based quality metric for point cloud geometry. - Sven Krippendorf, Marc Syvaeri:
Detecting Symmetries with Neural Networks. - Michalis Skotiniotis, Andreas J. Winter:
Quantum Godwin's Law. - Qiyuan Fu, Sean W. Gart, Thomas W. Mitchel, Jin Seob Kim, Gregory S. Chirikjian, Chen Li:
Lateral oscillation and body compliance help snakes and snake robots stably traverse large, smooth obstacles. - Carl Leake, David Arnas, Daniele Mortari:
Non-dimensional Star-Identification. - Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen:
Autonomous discovery in the chemical sciences part I: Progress. - Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen:
Autonomous discovery in the chemical sciences part II: Outlook. - Tony Huynh, Gwenaël Joret, David R. Wood:
Subgraph densities in a surface. - Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya:
Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors. - M. Hamm, I. Pelivan, M. Grott, J. de Wiljes:
Thermophysical modelling and parameter estimation of small solar system bodies via data assimilation. - Anant Raj, Francis R. Bach:
Explicit Regularization of Stochastic Gradient Methods through Duality. - Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova:
Fairness Evaluation in Presence of Biased Noisy Labels. - Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber:
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. - Milad Bakhshizadeh, Arian Maleki, Victor H. de la Peña:
Sharp Concentration Results for Heavy-Tailed Distributions. - Manohar Karki, Junghwan Cho:
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images. - Rudrasis Chakraborty:
ManifoldNorm: Extending normalizations on Riemannian Manifolds. - Kenneth F. Caluya, Abhishek Halder:
Reflected Schrödinger Bridge: Density Control with Path Constraints. - Johann Brehmer, Kyle Cranmer:
Flows for simultaneous manifold learning and density estimation. - Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee:
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. - Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl:
Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization. - Robert S. Smith, Eric C. Peterson, Mark G. Skilbeck, Erik J. Davis:
An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs. - Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan:
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. - Shi Pu:
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks. - Pranav Sankhe, Saqib Azim, Sachin Goyal, Tanya Choudhary, Kumar Appaiah, Sukumar Srikant:
Indoor Distance Estimation using LSTMs over WLAN Network. - Pim van der Hoorn, Ivan Voitalov, Remco van der Hofstad, Dmitri V. Krioukov:
Problems with classification, hypothesis testing, and estimator convergence in the analysis of degree distributions in networks. - Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang:
Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. - Anton Vuerinckx, Yves Moreau:
A Central Limit Theorem for Martin-Löf Random Numbers. - C. U. Schuster, T. Johnson, Gergely Papp, R. Bilato, Seppo Sipilä, J. Varje, Markus Hasenöhrl:
Moment-Preserving and Mesh-Adaptive Reweighting Method for Rare-Event Sampling in Monte-Carlo Algorithms. - Alessio Meneghetti, Marco Pellegrini, Massimiliano Sala:
A formula on the weight distribution of linear codes with applications to AMDS codes. - Faruk Göloglu, Lukas Kölsch, Gohar M. Kyureghyan, Léo Perrin:
On subspaces of Kloosterman zeros and permutations of the form L1(x-1)+L2(x). - Harshad Khadilkar, Tanuja Ganu, Deva P. Seetharam:
Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning. - Yaxing Wang, Qiong Li, Haokun Mao, Qi Han:
Topological optimization of hybrid quantum key distribution networks. - Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. - Juste Raimbault, Joris Broere, Marius Somveille, Jesus Mario Serna, Evelyn Strombom, Christine Moore, Ben Zhu, Lorraine Sugar:
A spatial agent based model for simulating and optimizing networked eco-industrial systems. - Anis Koubaa:
Understanding the COVID19 Outbreak: A Comparative Data Analytics and Study. - Alexander Katriniok:
Nonconvex Consensus ADMM for Cooperative Lane Change Maneuvers of Connected Automated Vehicles. - Raul Borsche, Axel Klar:
A kinetic traffic network model and its macroscopic limit: diverging lanes. - Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser:
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. - Luca Formaggia, Anna Scotti, Alessio Fumagalli:
Numerical Methods for Flow in Fractured Porous Media. - Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov:
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. - Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov:
Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net. - Xiang Huo, Mingxi Liu:
Decentralized Electric Vehicle Charging Control via a Novel Shrunken Primal Multi-Dual Subgradient (SPMDS) Algorithm. - Arindam Roy Chowdhury, Abhinandan Dalal, Shubhajit Sen:
Accelerography: Feasibility of Gesture Typing using Accelerometer. - Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi:
Controlling Rayleigh-Bénard convection via Reinforcement Learning. - Katherine J. Schultz, Sean M. Colby, Yasemin Yesiltepe, Jamie R. Nuñez, Monee Y. McGrady, Ryan S. Renslow:
Application and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists. - Khalid El Asnaoui, Youness Chawki, Ali Idri:
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning. - Ulf Aslak, Laura Alessandretti:
Infostop: Scalable stop-location detection in multi-user mobility data. - Sophie M. Fosson, Vito Cerone, Diego Regruto:
Sparse linear regression from perturbed data. - Giuseppe Carlo Calafiore, Carlo Novara, Corrado Possieri:
A Modified SIR Model for the COVID-19 Contagion in Italy. - Muhammad Farooq, Abdul Hafeez:
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs. - Feng Wang, Wen Chen, Hongying Tang, Qingqing Wu:
Joint Optimization of User Association, Subchannel Allocation, and Power Allocation in Multi-cell Multi-association OFDMA Heterogeneous Networks. - Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization. - Qimeng Yu, Simge Küçükyavuz:
A Polyhedral Approach to Bisubmodular Function Minimization. - Bertrand Jayles, Ralf H. J. M. Kurvers:
Exchanging small amounts of opinions outperforms sharing aggregated opinions of large crowds. - Abbass Gorgi, Mourad El Ouali, Anand Srivastav, Mohamed Hachimi:
Approximation algorithm for the Multicovering Problem. - Hina Shakir, Haroon Rasheed, Tariq Mairaj Rasool Khan:
Radiomic feature selection for lung cancer classifiers. - Thomas P. Wytock, Adilson E. Motter:
Distinguishing Cell Phenotype Using Cell Epigenotype. - Zijian Wang, Wen Chen, Jun Li:
Efficient Beamforming for MIMO Relaying Broadcast Channel with Imperfect Channel Estimation. - Zijian Wang, Wen Chen:
Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection. - Zijian Wang, Wen Chen, Feifei Gao, Jun Li:
Capacity Performance of Relay Beamformings for MIMO Multi-Relay Networks with Imperfect R-D CSI at Relays. - Soodabeh Asadi, Janez Povh:
A Block Coordinate Descent-based Projected Gradient Algorithm for Orthogonal Non-negative Matrix Factorization. - Dominik Bendle, Janko Böhm, Yue Ren, Benjamin Schröter:
Parallel Computation of tropical varieties, their positive part, and tropical Grassmannians. - Fan Fang, Carmine Ventre, Michail Basios, Hoiliong Kong, Leslie Kanthan, Lingbo Li, David Martínez-Rego, Fan Wu:
Cryptocurrency Trading: A Comprehensive Survey. - Dan Li, Sonia Martínez:
High-Confidence Attack Detection via Wasserstein-Metric Computations. - Andrei Asinowski, Cyril Banderier, Benjamin Hackl:
Flip-sort and combinatorial aspects of pop-stack sorting. - Nicola Pinzani, Stefano Gogioso:
Giving Operational Meaning to the Superposition of Causal Orders. 256-278 - Gregory Z. Gutin, Philip R. Neary, Anders Yeo:
Exact capacitated domination: on the computational complexity of uniqueness. - Kyle Mills, Pooya Ronagh, Isaac Tamblyn:
Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning. - Matt Wilson, Giulio Chiribella:
A Diagrammatic Approach to Information Transmission in Generalised Switches. 333-348 - James Hefford, Stefano Gogioso:
Hyper-decoherence in Density Hypercubes. 141-159 - Louis Lemonnier, John van de Wetering, Aleks Kissinger:
Hypergraph Simplification: Linking the Path-sum Approach to the ZH-calculus. 188-212 - Hufei Zhu, Wen Chen, Bin Li, Feifei Gao:
An Improved Square-root Algorithm for V-BLAST Based on Efficient Inverse Cholesky Factorization. - Haibin Wan, Wen Chen:
Joint Source and Relay Design for Multi-user MIMO Non-regenerative Relay Networks with Direct Links. - Haibin Wan, Wen Chen, Jianbo Ji:
Efficient Linear Transmission Strategy for MIMO Relaying Broadcast Channels with Direct Links. - Mohammadhadi Shateri, Fabrice Labeau:
Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes. - Christian Bayer, Chiheb Ben Hammouda, Raúl Tempone:
Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities. - Juan G. Rueda-Escobedo, Johannes Schiffer:
Data-Driven Internal Model Control of Second-Order Discrete Volterra Systems. - Zhiguang Zhao:
Sahlqvist Correspondence Theory for Instantial Neighbourhood Logic.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-22 19:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
