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ORCIDCoRR, November 2019
- Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. - Henri Calandra, Serge Gratton, Elisa Riccietti
, Xavier Vasseur:
On the iterative solution of systems of the form ATA x=ATb+c. - Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing:
Chirality Nets for Human Pose Regression. - Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson:
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. - Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context-Aware Local Differential Privacy. - Arnav Thakur, Reza Malekian:
Fog Computing for Detecting Vehicular Congestion, An Internet of Vehicles based Approach: A review. - Uwe Baier, Thomas Büchler, Enno Ohlebusch, Pascal Weber:
Edge minimization in de Bruijn graphs. - Thomas D. LaToza, Maryam Arab, Dastyni Loksa, Amy J. Ko:
Explicit Programming Strategies. - Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang:
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. - Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. - Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
DNA: Dynamic Social Network Alignment. - Jian Ni, Radu Florian:
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping. - Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel:
SignCol: Open-Source Software for Collecting Sign Language Gestures. - William Lund Sommer, Alexandros Iosifidis:
Text-to-image synthesis method evaluation based on visual patterns. - Peter Benner, Pawan Goyal, Paul Van Dooren:
Identification of Port-Hamiltonian Systems from Frequency Response Data. - Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser:
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. - Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota:
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. - Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-to-end Non-Negative Autoencoders for Sound Source Separation. - Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li:
Deep Learning of Subsurface Flow via Theory-guided Neural Network. - Nabeel Seedat, Christopher Kanan:
Towards calibrated and scalable uncertainty representations for neural networks. - Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
On Neural Architecture Search for Resource-Constrained Hardware Platforms. - Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. - Andrew J. Weinert:
Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP. - Nicolas Boullé, Alex Townsend:
Computing with functions in the ball. - Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu:
ALERT: Accurate Anytime Learning for Energy and Timeliness. - Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. - Elsbeth Turcan, Kathleen R. McKeown:
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. - Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi:
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers. - Christopher Thomas, Adriana Kovashka:
Predicting the Politics of an Image Using Webly Supervised Data. - Volodymyr Buriachok, M. Hadzhyiev, Volodymyr Sokolov, Pavlo Skladannyi, L. Kuzmenko:
Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone. - Alvaro Javier Ortega, Raimundo Sampaio Neto, Rodrigo Pereira David:
On hybrid precoder/combiner for downlink mmWave massive MU-MIMO systems. - Xianmang He, Yindong Chen:
Construction of Const Dimension Codes from Serval Parallel Lift MRD Code. - Ali Ayub, Alan R. Wagner:
Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification. - Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey:
A Game-Theoretic Approach to Covert Communications. - Jennifer Paykin, Eric Mertens, Mark Tullsen, Luke Maurer, Benoît Razet, Alexander Bakst, Scott Moore:
Weird Machines as Insecure Compilation. - Yuval Filmus, Noam Lifshitz, Dor Minzer, Elchanan Mossel:
AND Testing and Robust Judgement Aggregation. - Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. - Wenjie Lu, Dikai Liu:
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances. - Peilin Zheng, Zibin Zheng, Hongning Dai:
XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum. - Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich:
PODNet: A Neural Network for Discovery of Plannable Options. - Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. - Neel Doshi, Francois Robert Hogan, Alberto Rodriguez:
Hybrid Differential Dynamic Programming for Planar Manipulation Primitives. - Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov:
Sequence Modeling with Unconstrained Generation Order. - Anindya De, Rocco A. Servedio:
Kruskal-Katona for convex sets, with applications. - Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye:
Regularized Non-negative Spectral Embedding for Clustering. - Yuxuan Sun, Sheng Zhou, Deniz Gündüz:
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data. - Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu, Ligang Liu, Yu-Kun Lai, Xilin Chen:
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry. - Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang:
Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians. - Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li:
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology. - (Withdrawn) Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension.
- Pan Zhou, Ruchao Fan, Wei Chen, Jia Jia:
Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding. - Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. - Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour, Christina Fragouli, Suhas N. Diggavi:
On Distributed Quantization for Classification. - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar:
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor:
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. - Huanbiao Zhu, Werner Stuetzle:
A Simple and Efficient Method to Compute a Single Linkage Dendrogram. - Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui:
When Choosing Plausible Alternatives, Clever Hans can be Clever. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating Justifications for Norm-Related Agent Decisions. - Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Machine Learning Using EtC Images. - Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz:
Engaging in Dialogue about an Agent's Norms and Behaviors. - Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. - Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. - Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati:
Active Learning with Siamese Twins for Sequence Tagging. - Ilya Chernykh, Ekaterina Lgotina:
Two-machine routing open shop on a tree: instance reduction and efficiently solvable subclass. - Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki, Yukie Nagai, Minoru Asada:
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning. - Erik Burman, Mats G. Larson, Peter Hansbo:
Cut Bogner-Fox-Schmit Elements for Plates. - Swe Geng, Georgia Giannopoulou, Maëlle Kabir-Querrec:
Privacy Protection in Distributed Fingerprint-based Authentication. - Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu:
Robust Federated Learning with Noisy Communication. - Eva Ahbe, Andrea Iannelli, Roy S. Smith:
Region of attraction analysis of nonlinear stochastic systems using Polynomial Chaos Expansion. - Yehuda Afek, Anat Bremler-Barr, David Hay, Ran Goldschmidt, Lior Shafir, Gafnit Abraham, Avraham Shalev:
NFV-based IoT Security for Home Networks using MUD. - Gerard Awanou:
Convergence of a damped Newton's method for discrete Monge-Ampere functions with a prescribed asymptotic cone. - Marko Mihajlovic, Ning Xiong:
Finding the most similar textual documents using Case-Based Reasoning. - Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvärinen:
Robust contrastive learning and nonlinear ICA in the presence of outliers. - Johannes Bund, Christoph Lenzen, Moti Medina:
Optimal Metastability-Containing Sorting via Parallel Prefix Computation. - Kazutaka Matsuda:
A Modular Inference of Linear Types for Multiplicity-Annotated Arrows. - Vevake Balaraman, Bernardo Magnini:
A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values. - Yuqing Kong:
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. - Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. - Ahmed Al Amin, Soo Young Shin:
Capacity improvement of non-orthogonal multiple access downlink transmission by orbital angular momentum based mode division multiple access. - Avinash Madasu, Sivasankar Elango:
Efficient Feature Selection techniques for Sentiment Analysis. - Kiwook Bae, Heechang Ryu, Hayong Shin:
Does Adam optimizer keep close to the optimal point? - Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran:
Learning Hawkes Processes from a Handful of Events. - Stephanie van de Sandt, Lars Holm Nielsen, Alexandros Ioannidis, August Muench, Edwin A. Henneken, Alberto Accomazzi, Chiara Bigarella, Jose Benito Gonzalez Lopez, Sünje Dallmeier-Tiessen:
Practice meets Principle: Tracking Software and Data Citations to Zenodo DOIs. - Stefano Almi, Massimo Fornasier, Richard Huber:
Data-driven Evolutions of Critical Points. - Ayoub Mars, Ahmad Abadleh, Wael Adi:
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks. - Yohei Hosoe, Tomomichi Hagiwara:
On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics. - Emna Rejaibi, Daoud Kadoch, Kamil Bentounes, Romain Alfred, Mohamed Daoudi, Abdenour Hadid, Alice Othmani:
Clinical Depression and Affect Recognition with EmoAudioNet. - Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni:
Deep Bidirectional Transformers for Relation Extraction without Supervision. - Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana:
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. - Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
On the Linguistic Representational Power of Neural Machine Translation Models. - David K. Zhang:
Discovering New Runge-Kutta Methods Using Unstructured Numerical Search. - Hao Deng, Shawn Hinnebusch, Albert C. To:
Topology Optimization Design of Stretchable Metamaterials with Bezier Skeleton Explicit Density (BSED) Representation Algorithm. - Suayb S. Arslan, James Peng, Turguy Goker:
A Data-Assisted Reliability Model for Carrier-Assisted Cold Data Storage Systems. - Daniel Goldfarb, Scott Evans:
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning. - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Learning a Representation for Cover Song Identification Using Convolutional Neural Network. - Roni Mateless, Michael Segal, Robert Moskovitch:
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection. - Anthony Ferritto, Lin Pan, Rishav Chakravarti, Salim Roukos, Radu Florian, J. William Murdock, Avirup Sil:
Ensembling Strategies for Answering Natural Questions. - Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. - Shuming Jiao, Yang Gao, Jun Feng, Ting Lei, Xiaocong Yuan:
Does deep learning always outperform simple linear regression in optical imaging? - Manuel López-Palma, Javier Gago, Montserrat Corbalan, Josep Ramon Morros:
Audience measurement using a top-view camera and oriented trajectories. - Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra:
Decentralized Distributed PPO: Solving PointGoal Navigation. - Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave:
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. - (Withdrawn) Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers.
- Twan Keijzer, Riccardo M. G. Ferrari:
A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication. - Marc Maceira, David Varas, Josep Ramon Morros, Javier Ruiz Hidalgo, Ferran Marqués:
3D hierarchical optimization for Multi-view depth map coding. - Süleyman Aslan, Ugur Güdükbay:
Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks. - Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. - Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Generalized Mean Estimation in Monte-Carlo Tree Search. - Joseph Tassarotti, Jean-Baptiste Tristan, Koundinya Vajjha:
A Formal Proof of PAC Learnability for Decision Stumps. - Dandan Li, Yuan Zhou, Shuwei Huo, Sun-Yuan Kung:
Comb Convolution for Efficient Convolutional Architecture. - Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar:
Generalized Speedy Q-learning. - Joshua Chen:
An Implementation of Homotopy Type Theory in Isabelle/Pure. - Paschalis Bizopoulos:
Sparsely Activated Networks: A new method for decomposing and compressing data. - Stefan S. Dantchev, Abdul Ghani, Barnaby Martin:
Sherali-Adams and the binary encoding of combinatorial principles. - Ariane Alves Almeida, Mauricio Ayala-Rincón:
Formalizing the Dependency Pair Criterion for Innermost Termination. - Jakob Lykke Andersen, Marc Hellmuth, Daniel Merkle, Nikolai Nøjgaard, Marco Peressotti:
A Graph-Based Tool to Embed the π-Calculus into a Computational DPO Framework. - Vincent Lostanlen, Kaitlin Palmer, Elly Knight, Christopher W. Clark, Holger Klinck, Andrew Farnsworth, Tina Wong, Jason Cramer, Juan Pablo Bello:
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization. - Samyadeep Basu, Xuchen You, Soheil Feizi:
Second-Order Group Influence Functions for Black-Box Predictions. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches. - Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver:
Difficulty Scaling in Proof of Work for Decentralized Problem Solving. - Yun Bai, Suling Jia, Xixi Li:
Research and application of time series algorithms in centralized purchasing data. - Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet:
Surface Reconstruction from 3D Line Segments. - Argyrios Petras, Steven J. Ruuth:
PDEs on moving surfaces via the closest point method and a modified grid based particle method. - Danfei Xu, Misha Denil:
Positive-Unlabeled Reward Learning. - Omar U. Florez:
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media. - Leandro Gomes:
On the construction of multi-valued concurrent dynamic logic. - Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
ARSM Gradient Estimator for Supervised Learning to Rank. - Wieslaw Kopec, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafal Maslyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Pawel Kobylinski, Jaroslaw Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Mozaryn, Krzysztof Marasek:
VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation. - Masayoshi Mase, Art B. Owen, Benjamin Seiler:
Explaining black box decisions by Shapley cohort refinement. - Matthias Andres, Florian Schneider:
The second-order formulation of the PN equations with Marshak boundary conditions. - Michael Kuchnik, George Amvrosiadis, Virginia Smith:
Progressive Compressed Records: Taking a Byte out of Deep Learning Data. - Emad Elwany, Dave Moore, Gaurav Oberoi:
BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding. - Raymond R. Devillers, Evgeny Erofeev, Thomas Hujsa:
Synthesis of Weighted Marked Graphs from Constrained Labelled Transition Systems: A Geometric Approach. - Nurettin Sergin, Hao Yan:
High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders. - Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich:
Explanation by Progressive Exaggeration. - Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. - Bryce Doerr, Richard Linares, Roberto Furfaro:
Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning. - Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir:
Variations of Genetic Algorithms. - Saatviga Sudhahar, Ian Roberts, Andrea Pierleoni:
Reasoning Over Paths via Knowledge Base Completion. - Veit Elser:
Learning Without Loss. - Amit Kumar Verma, Diksha Tiwari:
On some computational aspects of Hermite wavelets on a class of SBVPs arising in exothermic reactions. - Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell:
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. - Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram:
GDPR Anti-Patterns: How Design and Operation of Modern Cloud-scale Systems Conflict with GDPR. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks. - Xinshi Chen:
Review: Ordinary Differential Equations For Deep Learning. - Wei Lu, Xia Wu, Xiwang Cao, Ming Chen:
Six constructions of asymptotically optimal codebooks via the character sums. - Shengjian Guo, Yueqi Chen, Peng Li, Yueqiang Cheng, Huibo Wang, Meng Wu, Zhiqiang Zuo:
SpecuSym: Speculative Symbolic Execution for Cache Timing Leak Detection. - (Withdrawn) A Hierarchical-based Greedy Algorithm for Echelon-Ferrers Construction.
- Martín Barrère, Chris Hankin, Nicolas Nicolaou, Demetrios G. Eliades, Thomas Parisini:
MaxSAT Evaluation 2019 - Benchmark: Identifying Security-Critical Cyber-Physical Components in Weighted AND/OR Graphs. - David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan:
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments. - Sadok Ben Yahia:
Contributions to the Formalization and Extraction of Generic Bases of Association Rules. - Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan:
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation. - Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si:
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. - Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. - Lingling Yang, Dongyang Li, Yao Lu:
Prediction Modeling and Analysis for Telecom Customer Churn in Two Months. - Hongfa Xue, Guru Venkataramani, Tian Lan:
Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Nguyen Phong Hoang, Arian Akhavan Niaki, Nikita Borisov, Phillipa Gill, Michalis Polychronakis:
Assessing the Privacy Benefits of Domain Name Encryption. - Andrea Zanette, David Brandfonbrener, Matteo Pirotta, Alessandro Lazaric:
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. - Kanit Wongsuphasawat, Yang Liu, Jeffrey Heer:
Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study. - Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez:
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. - William Zhang, Sebastian Banescu, Leonardo Pasos, Steven T. Stewart, Vijay Ganesh:
MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract. - Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka:
Cylindrical Shape Decomposition Algorithm for 3D Segmentation. - Carla Binucci, Walter Didimo, Fabrizio Montecchiani:
An Experimental Study of a 1-planarity Testing and Embedding Algorithm. - Martín Hötzel Escardó:
Introduction to Univalent Foundations of Mathematics with Agda. - Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation. - Justin Lubin, Nick Collins, Cyrus Omar, Ravi Chugh:
Program Synthesis with Live Bidirectional Evaluation. - Timo Korthals, Malte Schilling, Jürgen Leitner:
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. - Michal Karpinski:
CNF Encodings of Cardinality Constraints Based on Comparator Networks. - José A. Morales Escalante, Irene M. Gamba:
Entropy-stable positivity-preserving DG schemes for Boltzmann-Poisson models of collisional electronic transport along energy bands. - Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Sensoy:
SHACL Constraints with Inference Rules. - William Lee Croft, Jörg-Rüdiger Sack, Wei Shi:
Differential Privacy Via a Truncated and Normalized Laplace Mechanism. - Sharif Abuadbba, Ayman Ibaida, Ibrahim Khalil:
IoTSign: Protecting Privacy and Authenticity of IoT using Discrete Cosine Based Steganography. - Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang:
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. - Hussein Sibai, Navid Mokhlesi, Chuchu Fan, Sayan Mitra:
Multi-Agent Safety Verification using Symmetry Transformations. - Sally Dong, Yin Tat Lee, Kent Quanrud:
Computing Circle Packing Representations of Planar Graphs. - Eduardo A. Soares, Plamen Angelov:
Novelty Detection and Learning from Extremely Weak Supervision. - Mikael Henaff:
Explicit Explore-Exploit Algorithms in Continuous State Spaces. - Andrea Fioraldi, Daniele Cono D'Elia, Emilio Coppa:
WEIZZ: Automatic Grey-box Fuzzing for Structured Binary Formats. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. - Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
On-Device Machine Learning: An Algorithms and Learning Theory Perspective. - Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, Ming-Hsuan Yang:
Quadratic video interpolation. - Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler:
Predicting Weather Uncertainty with Deep Convnets. - Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng:
FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation. - Bohuan Xue, Jianhao Jiao, Yilong Zhu, Linwei Zheng, Dong Han, Ming Liu, Rui Fan:
Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape. - Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim A. Elmadany, Michael Przystupa, Lyle H. Ungar:
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. - Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy:
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints. - Minhao Tang, Jiangtao Wen, Yuxing Han:
A Generalized Rate-Distortion-λ Model Based HEVC Rate Control Algorithm. - Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani:
Credibility-based Fake News Detection. - Lei Wu, Qingcan Wang, Chao Ma:
Global Convergence of Gradient Descent for Deep Linear Residual Networks. - Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck:
Human and Automatic Detection of Generated Text. - Taras I. Lakoba:
Study of instability of the Fourier split-step method for the massive Gross-Neveu model. - Jiaxiong Qiu, Xinyuan Yu, Guoqiang Yang, Shuaicheng Liu:
DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image. - Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network. - Jianze Li, Konstantin Usevich, Pierre Comon:
Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. - Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Security of Facial Forensics Models Against Adversarial Attacks. - Upendra Kapshikar, Ayan Mahalanobis:
The Niederreiter cryptosystem and Quasi-Cyclic codes. - Zhenpeng He, Jiawei Hou, Sören Schwertfeger:
Furniture Free Mapping using 3D Lidars. - Kyoko Sugisaki:
Chat-Bot-Kit: A web-based tool to simulate text-based interactions between humans and with computers. - Hui Li, Jimin Xiao, Mingjie Sun, Eng Gee Lim, Yao Zhao:
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples. - Abhijit Mazumdar, Srinivasan Krishnaswamy, Somanath Majhi:
H∞ Optimal Control of Jump Systems Over Multiple Lossy Communication Channels. - Bernd Hofmann, Robert Plato:
Convergence results and low order rates for nonlinear Tikhonov regularization with oversmoothing penalty term. - Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi:
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. - Otmar Ertl:
ProbMinHash - A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity. - Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara:
Fair Predictors under Distribution Shift. - Gerrit Brugman, Beril Sirmaçek:
3D tissue reconstruction with Kinect to evaluate neck lymphedema. - Weihao Xia, Zhanglin Cheng, Yujiu Yang:
SR-Net: Cooperative Image Segmentation and Restoration in Adverse Environmental Conditions. - Rakesh Khobragade, Heaven Patel, Anand Namdev, Anish Mishra, Pushpak Bhattacharyya:
Machine Translation Evaluation using Bi-directional Entailment. - Hao Yang, Zhongliang Yang, YongJian Bao, Sheng Liu, Yongfeng Huang:
FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis of VoIP Stream via Multi-head Attention. - Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper:
Unmasking DeepFakes with simple Features. - Tripti Agarwal, Amit Chattopadhyay, Vijay Natarajan:
Topological Feature Search in Time-Varying Multifield Data. - Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. - Rajakumar Arul, Gunasekaran Raja, Alaa Omran Almagrabi, Mohammed Saeed Alkatheiri, Sajjad Hussain Chauhdary, Ali Kashif Bashir:
A Quantum Safe Key Hierarchy and Dynamic Security Association for LTE/SAE in 5G Scenario. - Song Yan, Johan Wirta, Joni-Kristian Kämäräinen:
Anthropometric clothing measurements from 3D body scans. - Bartosz Bednarczyk:
Statistical EL is ExpTime-complete. - Peter Thiemann, Vasco T. Vasconcelos:
Label-Dependent Session Types. - Bob Briscoe:
TCP Prague Fall-back on Detection of a Classic ECN AQM. - Sanjay Kamath, Brigitte Grau, Yue Ma:
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering. - Hao Zhou, Chongyang Zhang, Chuanping Hu:
Visual Relationship Detection with Relative Location Mining. - Ren-Jie Han, Shi-Yuan Liu, Qian Li:
Do Chinese Internet Users Exist Heterogeneity in Search Behavior? - Jun Zhao:
On secure communication in sensor networks under q-composite key predistribution with unreliable links. - Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang:
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. - Pranab Basu, Navin Kashyap:
The Lattice Structure of Linear Subspace Codes. - Boyu Sima:
A Solution of the P versus NP Problem based on specific property of clique function. - Jun Zhao:
Probabilistic key predistribution in mobile networks resilient to node-capture attacks. - Jun Zhao:
On resilience and connectivity of secure wireless sensor networks under node capture attacks. - Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Distributed Learning. - ShahRukh Athar, Zhixin Shu, Dimitris Samaras:
Self-supervised Deformation Modeling for Facial Expression Editing. - Jason D. Kelly, Ashley Petersen, Thomas S. Lendvay, Timothy M. Kowalewski:
The Effect of Video Playback Speed on Surgeon Technical Skill Perception. - Frédéric Marazzato, Alexandre Ern, Laurent Monasse:
A consistent discrete element method for quasi-static and dynamic elasto-plasticity. - Jun Zhao:
Secure Connectivity of Wireless Sensor Networks Under Key Predistribution with on/off Channels. - Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi, Mohammed El Hassouni:
Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform. - Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt:
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. - Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova:
Variational Bayesian inference of hidden stochastic processes with unknown parameters. - Mohsin Ur Rahman:
Leader Election in the Internet of Things: Challenges and Opportunities. - Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. - Jun Zhao:
Relations among different privacy notions. - Jun Zhao:
Composition Properties of Bayesian Differential Privacy. - Mark Weber, Jonathon Luiten, Bastian Leibe:
Single-Shot Panoptic Segmentation. - Jun Zhao:
Adaptive Statistical Learning with Bayesian Differential Privacy. - Kyoomars Alizadeh Noghani, Cristian Hernandez Benet, Andreas Kassler, Antonio Marotta, Patrick Jestin, Vivek V. Srivastava:
Automating Ethernet VPN Deployment in SDN-based Data Centers. - Shichen Liu, Shunsuke Saito, Weikai Chen, Hao Li:
Learning to Infer Implicit Surfaces without 3D Supervision. - Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron:
Sparse Regression Codes. - Maedeh Jamali, Mahnoosh Bagheri, Nader Karimi, Shadrokh Samavi:
Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation. - Changmao Li, Tianhao Liu, Jinho Choi:
Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue. - Changmao Li, Han He, Yunze Hao, Caleb Ziems:
Ten-year Survival Prediction for Breast Cancer Patients. - Kyoomars Alizadeh Noghani, Andreas Kassler:
SDN Enhanced Ethernet VPN for Data Center Interconnect. - Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. - Tolulope A. Odetola, Hawzhin Raoof Mohammed, Syed Rafay Hasan:
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA). - Pavel Naumov, Rui-Jie Yew:
Ethical Dilemmas of Strategic Coalitions. - Teodoro Collin, Gordon L. Kindlmann, L. Ridgway Scott:
An Adaptive Savitsky-Golay Filter for Smoothing Finite Element Computation. - Hasan Giray Oral, Enrique Mallada, Dennice F. Gayme:
Performance of Single and Double-Integrator Networks over Directed Graphs. - Franz A. Heinsen:
An Algorithm for Routing Capsules in All Domains. - Congchao Wang, Yizhi Wang, Guoqiang Yu:
Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework. - Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas:
Adversarial target-invariant representation learning for domain generalization. - Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora:
Enhanced Convolutional Neural Tangent Kernels. - Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Posing Fair Generalization Tasks for Natural Language Inference. - Mohammad Hosseini:
Adaptive Rate Allocation for View-Aware Point-Cloud Streaming. - Eric L. Goodman, Dirk Grunwald:
A Streaming Analytics Language for Processing Cyber Data. - Poonam Lohan, Deepak Mishra:
Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands. - Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. - Andrew Cohen, Lei Yu, Xingye Qiao, Xiangrong Tong:
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning. - David Golub, Roberto Martín-Martín, Ahmed El-Kishky, Silvio Savarese:
Leveraging Pretrained Image Classifiers for Language-Based Segmentation. - Sweta Agrawal, Marine Carpuat:
Controlling Text Complexity in Neural Machine Translation. - Suyash Gupta, Jelle Hellings, Mohammad Sadoghi:
Scaling Blockchain Databases through Parallel Resilient Consensus Paradigm. - Suyash Gupta, Jelle Hellings, Sajjad Rahnama, Mohammad Sadoghi:
Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation. - Yu Yang, Guoqiang Hu, Costas J. Spanos:
Stochastic Optimal Control of HVAC system for Energy-efficient Buildings. - Abhilasha Ravichander, Alan W. Black, Shomir Wilson, Thomas B. Norton, Norman M. Sadeh:
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. - Xiaolei Lu, Bin Ni:
Low-dimensional Semantic Space: from Text to Word Embedding. - Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. - Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra:
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. - Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy:
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. - Wenqi Shi, Sheng Zhou, Zhisheng Niu:
Device Scheduling with Fast Convergence for Wireless Federated Learning. - Haris Aziz, Barton E. Lee:
Proportionally Representative Participatory Budgeting with Ordinal Preferences. - Musard Balliu, Mads Dam, Roberto Guanciale:
InSpectre: Breaking and Fixing Microarchitectural Vulnerabilities by Formal Analysis. - Shai Rozenberg, Gal Elidan, Ran El-Yaniv:
Improved Detection of Adversarial Attacks via Penetration Distortion Maximization. - Henning Urbat, Lutz Schröder:
Automata Learning: An Algebraic Approach. - Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. - Marc Fischer, Matthew Mirman, Steven Stalder, Martin T. Vechev:
Online Robustness Training for Deep Reinforcement Learning. - Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. - Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Mohammad Asad Hassan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn:
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. - Debanjan Ghosh, Elena Musi, Kartikeya Upasani, Smaranda Muresan:
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity. - Vitaly Roman'kov:
Cryptanalysis of a new version of the MOR scheme. - Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Learning with Rejection for Classification and Regression Problems. - Taotao Wang, Xiaoqian Bai, Hao Wang, Soung Chang Liew, Shengli Zhang:
Game-Theoretic Analysis of Mining Strategy in Bitcoin-NG Blockchain Protocol. - Ping-Chun Hsieh, Xi Liu, I-Hong Hou:
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks. - Xue Chen, Anindya De, Rocco A. Servedio:
Testing noisy linear functions for sparsity. - Bridget Kane, Jing Su, Saturnino Luz:
Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings. - Christian Klein, Nikola M. Stoilov:
Numerical study of the transverse stability of the Peregrine solution. - Yuhao Su, Jie Ding:
Variable Grouping Based Bayesian Additive Regression Tree. - James B. Glattfelder:
The Bow-Tie Centrality: A Novel Measure for Directed and Weighted Networks with an Intrinsic Node Property. - Daniel Tanneberg, Elmar Rueckert, Jan Peters:
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. - Yaguan Qian, Dan-feng Ma, Bin Wang, Jun Pan, Jian-Hai Chen, Jia-Min Wang, Jing-Sheng Lei:
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks. - Mohammad Ashiqur Rahman, Md Hasan Shahriar, Mohamadsaleh Jafari, Rahat Masum:
Novel Attacks against Contingency Analysis in Power Grids. - Hairong Liu, Mingbo Ma, Liang Huang:
Machine Translation in Pronunciation Space. - Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang:
Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation. - Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. - Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Computationally efficient versions of conformal predictive distributions. - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. - Sari Sultan, Ayed A. Salman:
Calcium Vulnerability Scanner (CVS): A Deeper Look. - Avisha Das, Shahryar Baki, Ayman El Aassal, Rakesh M. Verma, Arthur Dunbar:
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective. - Andrea Zanette, Emma Brunskill:
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs. - Iacopo Masi, Joe Mathai, Wael AbdAlmageed:
Learning Structure via Consensus for Face Segmentation and Parsing. - Alexander Jung:
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization. - Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Conservative Wasserstein Training for Pose Estimation. - Tolgahan Cakaloglu, Xiaowei Xu:
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering. - Lin Shao, Toki Migimatsu, Jeannette Bohg:
Learning to Scaffold the Development of Robotic Manipulation Skills. - Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith:
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches. - Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski:
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Karol Chlasta:
Sentiment analysis model for Twitter data in Polish language. - Xiao Lu, Ekram Hossain, Taniya Shafique, Shaohan Feng, Hai Jiang, Dusit Niyato:
Intelligent Reflecting Surface (IRS)-Enabled Covert Communications in Wireless Networks. - Bahador Saket, Subhajit Das, Bum Chul Kwon, Alex Endert:
Geono-Cluster: Interactive Visual Cluster Analysis for Biologists. - Armando Coco:
A multigrid ghost-point level-set method for incompressible Navier-Stokes equations on moving domains with curved boundaries. - Nick James, Max Menzies, Lamiae Azizi, Jennifer Chan:
Novel semi-metrics for multivariate change point analysis and anomaly detection. - Yichuan Charlie Tang, Ruslan Salakhutdinov:
Multiple Futures Prediction. - Ge Yao, Udaya Parampalli:
Generalized NLFSR Transformation Algorithms and Cryptanalysis of the Class of Espresso-like Stream Ciphers. - Saad Alqithami, Musaad Alzahrani, Abdulkareem Alzahrani, Ahmed Mostafa:
Modeling an Augmented Reality Game Environment to Enhance Behavior of ADHD Patients. - Xubo Yue, Raed Al Kontar:
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. - Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu:
XDeep: An Interpretation Tool for Deep Neural Networks. - Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-François Chamberland:
Polar Coding and Random Spreading for Unsourced Multiple Access. - Muhammad Afzal, S. M. Riazul Islam, Maqbool Hussain, Sungyoung Lee:
Precision Medicine Informatics: Principles, Prospects, and Challenges. - David Schubert, Nikolaus Demmel, Lukas von Stumberg, Vladyslav Usenko, Daniel Cremers:
Rolling-Shutter Modelling for Direct Visual-Inertial Odometry. - Shen Zhang, Shibo Zhang, Sufei Li, Liang Du, Thomas G. Habetler:
Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE. - Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. - Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina:
Ternary MobileNets via Per-Layer Hybrid Filter Banks. - Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. - Sayak Ray Chowdhury, Aditya Gopalan:
On Batch Bayesian Optimization. - Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. - Kamil Nar, S. Shankar Sastry:
Persistency of Excitation for Robustness of Neural Networks. - Jiancheng Cai, Hu Han, Shiguang Shan, Xilin Chen:
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning. - Shashi Raj Pandey, Nguyen Hoang Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong:
A Crowdsourcing Framework for On-Device Federated Learning. - Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen:
Deep Heterogeneous Hashing for Face Video Retrieval. - Van Thong Huynh, Soo-Hyung Kim, Gueesang Lee, Hyung-Jeong Yang:
Eye Semantic Segmentation with a Lightweight Model. - Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. - Arindam Das:
SoildNet: Soiling Degradation Detection in Autonomous Driving. - Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen:
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning. - Sheng Shi, Xinfeng Zhang, Haisheng Li, Wei Fan:
Explaining the Predictions of Any Image Classifier via Decision Trees. - Lei Zhu, Qi She, Lidan Zhang, Ping Guo:
A Spectral Nonlocal Block for Neural Networks. - Yuan Zhou, Hongru Li, Sun-Yuan Kung:
Temporal Action Localization using Long Short-Term Dependency. - K. Harikumar, Jinraj V. Pushpangathan, Sidhant Dhall, M. Seetharama Bhat:
Integrated guidance and control framework for the waypoint navigation of a miniature aircraft with highly coupled longitudinal and lateral dynamics. - Ermyas Abebe, Dushyant Behl, Chander Govindarajan, Yining Hu, Dileban Karunamoorthy, Petr Novotný, Vinayaka Pandit, Venkatraman Ramakrishna, Christian Vecchiola:
Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track). - David Simchi-Levi, Yunzong Xu, Jinglong Zhao:
Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions. - Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. - Byung Hyung Kim, Sungho Jo:
Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life. - Yujing Wang, Qinyang Bao:
Adapting a Container Infrastructure for Autonomous Vehicle Development. - Florian Frohn, Matthias Naaf, Marc Brockschmidt, Jürgen Giesl:
Inferring Lower Runtime Bounds for Integer Programs. - Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux:
Technical Report: Co-learning of geometry and semantics for online 3D mapping. - Lin Gao, Giorgio Battistelli, Luigi Chisci:
Fusion of labeled RFS densities with minimum information loss. - Luigi Santocanale:
The Involutive Quantaloid of Completely Distributive Lattices. - Per-Olof Persson, Benjamin Stamm:
A Discontinuous Galerkin method for Shock Capturing using a mixed high-order and sub-grid low-order approximation space. - Auriol Degbelo, Brhane Bahrishum Teka:
Spatial Search Strategies for Open Government Data: A Systematic Comparison. - Shangmin Guo:
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. - Chung-Yi Li, Pei-Chieh Yuan, Hung-yi Lee:
What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis. - Alessandro Bonardi, Stephen James, Andrew J. Davison:
Learning One-Shot Imitation from Humans without Humans. - Jiong Chen, Heng Zhao, Zhicheng X. Cao, Liaojun Pang:
Singular points detection with semantic segmentation networks. - Nikita Shanin, Laura Cottatellucci, Robert Schober:
Rate-Power Region of SWIPT Systems Employing Nonlinear Energy Harvester Circuits with Memory. - Omid Esrafilian, Rajeev Gangula, David Gesbert:
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints. - John W. Barrett, Harald Garcke, Robert Nürnberg:
Stable approximations for axisymmetric Willmore flow for closed and open surfaces. - Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. - Leendert A. Remmelzwaal, Amit Kumar Mishra, George F. R. Ellis:
Human eye inspired log-polar pre-processing for neural networks. - Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Minimum Cut in O(m log2n) Time. - Leandro Gomes, Alexandre Madeira, Luís Soares Barbosa:
Generalising KAT to verify weighted computations. - Florian Chabot, Mohamed Chaouch, Quoc Cuong Pham:
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection. - Vlad-Florin Dragoi, Valeriu Beiu:
Fast Reliability Ranking of Matchstick Minimal Networks. - Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win:
Molecular Communication with Anomalous Diffusion in Stochastic Nanonetworks. - Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann:
Learning based Methods for Code Runtime Complexity Prediction. - Frank Stein, Alun D. Preece:
AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings. - Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. - Byung Hyung Kim, Sungho Jo:
An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition. - Hao Wu, Chenwu Zhang, Hancheng Lu, Qi Hu:
Modeling and Performance Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration. - Dung Phuong Trinh, Youngmin Jeong, Hyundong Shin, Moe Z. Win:
Molecular Communication in H-Diffusion. - Danial A. Muhammed, Soran Saeed, Tarik A. Rashid:
A Comprehensive Study on Pedestrians' Evacuation. - Cécile Daversin-Catty, Chris N. Richardson, Ada J. Ellingsrud, Marie E. Rognes:
Abstractions and automated algorithms for mixed domain finite element methods. - Yanqing Xu, Donghong Cai, Fang Fang, Zhiguo Ding, Chao Shen, Gang Zhu:
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints. - Omri Ben-Eliezer, Shoham Letzter, Erik Waingarten:
Optimal Adaptive Detection of Monotone Patterns. - Jiazhu Dai, Le Shu:
Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors. - Zhepu Xu, Qun Yang:
Fast Safety Assessment and Correction Framework for Maintenance Work Zones. - Sosuke Moriguchi, Kazuko Takahashi:
Compiling Arguments in an Argumentation Framework into Three-valued Logical Expressions. - Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. - Thomas Colcombet, Nathanaël Fijalkow, Pierre Ohlmann:
Controlling a random population. - Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. - Yanwei Cui, Xavier Illy:
Understand customer reviews with less data and in short time: pretrained language representation and active learning. - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. - Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian:
Learning to Fix Build Errors with Graph2Diff Neural Networks. - Philip Koopman, Beth Osyk, Jack Weast:
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version). - Alon Kipnis:
Higher Criticism for Discriminating Word-Frequency Tables and Testing Authorship. - Michael Schüler, Denis Golez, Yuta Murakami, Nikolaj Bittner, Andreas Hermann, Hugo U. R. Strand, Philipp Werner, Martin Eckstein:
NESSi: The Non-Equilibrium Systems Simulation package. - Tamali Banerjee, V. Rudra Murthy, Pushpak Bhattacharyya:
Ordering Matters: Word Ordering Aware Unsupervised NMT. - Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, Iryna Gurevych:
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking. - Deepshi Mediratta, Nikhil Oswal:
Detect Toxic Content to Improve Online Conversations. - Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne:
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. - Essam A. Rashed, Yinliang Diao, Akimasa Hirata:
Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry. - Lei Gao, Yixing Huang, Andreas K. Maier:
Superpixel-Based Background Recovery from Multiple Images. - Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment. - Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai:
Human-centric Metric for Accelerating Pathology Reports Annotation. - Mahmood Fazlali, Sara Moazezi Eftekhar, Mohammad Mahdi Dehshibi, Hadi Tabatabaee Malazi, Masoud Nosrati:
Raft Consensus Algorithm: an Effective Substitute for Paxos in High Throughput P2P-based Systems. - Jennifer Horkoff, Juho Lindman, Imed Hammouda, Eric Knauss:
Strategic API Analysis and Planning: APIS Technical Report. - Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Lorenz Bühmann:
A Holistic Natural Language Generation Framework for the Semantic Web. - Arijit Das, Diganta Saha:
A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques. - Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, José-María Arnau, Antonio González:
LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory. - Jonathan J. H. Zhu, Tai-Quan Peng:
Global Regularity and Individual Variability in Dynamic Behaviors of Human Communication. - Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh:
Incremental extraction of a NoSQL database model using an MDA-based process. - Namrata Chaudhary, Drimik Roy Chowdhury:
Data Preprocessing for Evaluation of Recommendation Models in E-Commerce. - Mostafa Mirzaie, Behshid Behkamal, Samad Paydar:
Contextualization of Big Data Quality: A framework for comparison. - Wesam Alruwaili, Bradley Protano, Tejasvi Sirigiriraju, Hamed Alhoori:
Using Arabic Tweets to Understand Drug Selling Behaviors. - Aidan Fuller, Zhong Fan, Charles Day:
Digital Twin: Enabling Technology, Challenges and Open Research. - Yandi Pranata, Leon Andretti Abdillah, Siti Sa'uda:
Penerapan Knowledge Management System Sales and Customer Care pada PT Satria Medikantara Palembang. - Chiara Scaramuzzino, Giulia Garegnani, Pietro Zambelli:
Integrated approach for the identification of spatial patterns related to renewable energy potential in European territories. - Romeo Jorda Jr., C. Alcabasa, A. Buhay, E. C. Dela Cruz, J. P. Mendoza, A. Tolentino, Lean Karlo S. Tolentino, E. Fernandez, August Thio-ac, Jessica Velasco, Nilo Arago:
Automated Smart Wick System-Based Microfarm Using Internet of Things. - Henry Laverde-Rojas, Camilo A. Martinez, Oscar Camargo, Gustavo Rojas-Matute, Marithza Sandoval-Escobar, Juan C. Correa:
The Consistency of Trust-Sales Relationship in Latin-American E-commerce. - Jie Hua, Chenguang Liu, Tomasz Kalbarczyk, Catherine Wright, Gruia-Catalin Roman, Christine Julien:
rIoT: Enabling Seamless Context-AwareAutomation in the Internet of Things. - Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang:
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. - Mahdi Soleimani, Vahid Shah-Mansouri:
Reactive Failure Mitigation through Seamless Migration in Telecom Infrastructure Networks. - Kunal Verma, Vishal Paike:
Smart City Intelligent System Traffic Congestion Optimization using Internet Of Things. - Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. - Mine Akbas, Thierry Gallouët, Almut Gassmann, Alexander Linke, Christian Merdon:
A gradient-robust well-balanced scheme for the compressible isothermal Stokes problem. - Hossein Shafiei, Ahmad Khonsari:
Serverless Computing: Opportunities and Challenges. - Christos K. Verginis, Daniel Zelazo, Dimos V. Dimarogonas:
Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective. - Biswajit Das, Shreemayee Bora:
Nearest matrix polynomials with a specified elementary divisor. - Simone Pozzoli, Marco Gallieri, Riccardo Scattolini:
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems. - Julia Lieb, Diego Napp, Raquel Pinto:
Robust low-delay Streaming PIR using convolutional codes. - Michael Segundo Ortiz:
Sequential/Spatial, a Survey of Interactive Information Retrieval Methods for Controlled Experimentation and Evaluation. - Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang:
Fast sampling and counting k-SAT solutions in the local lemma regime. - Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe:
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications. - Bennett Kleinberg, Paul McFarlane:
Examining UK drill music through sentiment trajectory analysis. - Daniel J. Diroff:
Bitcoin Coin Selection with Leverage. - Erfan Darzi, Hamid Soltanian-Zadeh:
Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection. - Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila, Nicolae Tapus:
CloudifierNet - Deep Vision Models for Artificial Image Processing. - Huacheng Yu:
Nearly Optimal Static Las Vegas Succinct Dictionary. - Weeam Alshangiti, Rafid Saad:
Mice and Covert Channels. - Josh Alman, Huacheng Yu:
Faster Update Time for Turnstile Streaming Algorithms. - Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. - Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. - Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi:
Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter? - Chandra Chekuri, Tanmay Inamdar:
Algorithms for Intersection Graphs of Multiple Intervals and Pseudo Disks. - Dmitry Gavinsky:
Bare quantum simultaneity versus classical interactivity in communication complexity. - Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). - Mehdi Jafari, Laura E. Brown, Lucia Gauchia:
Hierarchical Bayesian Model for Probabilistic Analysis of Electric Vehicle Battery Degradation. - Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. - Luba Sapir, Tamara Kogan, Ariel Sapir, Amir Sapir:
Nonstationary iterative processes. - Parisa Rafiee, Omur Ozel:
Active Status Update Packet Drop Control in an Energy Harvesting Node. - Fernando de Terán, Andrii Dmytryshyn, Froilán M. Dopico:
Generic symmetric matrix polynomials with bounded rank and fixed odd grade. - Zakia Zainib, Francesco Ballarin, Stephen Fremes, Piero Triverio, Laura Jiménez-Juan, Gianluigi Rozza:
Reduced order methods for parametric optimal flow control in coronary bypass grafts, towards patient-specific data assimilation. - Sidhanth Mohanty, Prasad Raghavendra, Jeff Xu:
Lifting Sum-of-Squares Lower Bounds: Degree-2 to Degree-4. - Tian Ding, Dawei Li, Ruoyu Sun:
Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks. - Chaim Even-Zohar, Calvin Leng:
Counting Small Permutation Patterns. - Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. - Loren Anderson, Sahitya Senapathy:
On Solving the 2-Dimensional Greedy Shooter Problem for UAVs. - Marc Agenis-Nevers, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen, Mayur Shende:
GuessCompx: An empirical complexity estimation in R. - Bansi Shah, Sunil Kumar Kopparapu:
A Deep Learning approach for Hindi Named Entity Recognition. - Kareem Amin, Matthew Joseph, Jieming Mao:
Pan-Private Uniformity Testing. - Sarik Ghazarian, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng:
Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. - Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans:
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. - Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. - Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider:
On Clustering Incomplete Data. - Giulio Morina, Viktoriia Oliinyk, Julian Waton, Ines Marusic, Konstantinos Georgatzis:
Auditing and Achieving Intersectional Fairness in Classification Problems. - Uchenna Daniel Ani, Jeremy D. McK. Watson, Benjamin Green, Barnaby Craggs, Jason R. C. Nurse:
Design Considerations for Building Credible Security Testbeds: A Systematic Study of Industrial Control System Use Cases. - Mohammad Afshari, Aditya Mahajan:
Optimal local and remote controllers with unreliable uplink channels: An elementary proof. - Alborz Rezazadeh Sereshkeh, Gary Leung, Krish Perumal, Caleb Phillips, Minfan Zhang, Afsaneh Fazly, Iqbal Mohomed:
VASTA: A Vision and Language-assisted Smartphone Task Automation System. - Elisabeth Rodríguez-Heck, Karl Stickler, Matthias Walter, Stefan Weltge:
Persistency of Linear Programming Formulations for the Stable Set Problem. - Brandon Foggo, Nanpeng Yu:
Improving Supervised Phase Identification Through the Theory of Information Losses. - Yi Chern Tan, L. Elisa Celis:
Assessing Social and Intersectional Biases in Contextualized Word Representations. - Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo:
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. - Peter Bastian, Mirco Altenbernd, Nils-Arne Dreier, Christian Engwer, Jorrit Fahlke, René Fritze, Markus Geveler, Dominik Göddeke, Oleg Iliev, Olaf Ippisch, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Nikolay Shegunov, Stefan Turek:
Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications. - Vikas Raunak, Vaibhav Kumar, Florian Metze:
On Compositionality in Neural Machine Translation. - Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks. - Chen Wang, Virgilio A. Centeno, Kevin D. Jones, Duotong Yang:
Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model. - Chong Shangguan, Itzhak Tamo:
Combinatorial list-decoding of Reed-Solomon codes beyond the Johnson radius. - Daniel Carter, Gregory Herschlag, Zach Hunter, Jonathan Mattingly:
A Merge-Split Proposal for Reversible Monte Carlo Markov Chain Sampling of Redistricting Plans. - Matthew Coulson, Ewan Davies, Alexandra Kolla, Viresh Patel, Guus Regts:
Statistical physics approaches to Unique Games. - Nikita Tafintsev, Dmitri Moltchanov, Mikhail Gerasimenko, Margarita Gapeyenko, Jing Zhu, Shu-Ping Yeh, Nageen Himayat, Sergey Andreev, Yevgeni Koucheryavy, Mikko Valkama:
Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization. - James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum:
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations. - Siddharth Krishna, Michael Emmi, Constantin Enea, Dejan Jovanovic:
Verifying Visibility-Based Weak Consistency. - Moninder Singh, Karthikeyan Natesan Ramamurthy:
Understanding racial bias in health using the Medical Expenditure Panel Survey data. - Shih-Hao Tseng, James Anderson:
Deployment Architectures for Cyber-Physical Control Systems. - Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap:
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. - Shromona Ghosh, Hadi Ravanbakhsh, Sanjit A. Seshia:
Counterexample-Guided Synthesis of Perception Models and Control. - Lean Karlo S. Tolentino, Dan Frederico P. Abacco, Mar Jun M. Siquihod:
Efficiency Improvement of Commercially Available MPPT Controllers Using Boost Converter. - Hang Chen, Vahan Huroyan, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties. - Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh:
BAS: An Answer Selection Method Using BERT Language Model. - Jan Blumenkamp, Andreas Baude, Tim Laue:
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation for Semantic Segmentation in Robot Soccer. - Hadi Ravanbakhsh, Forrest Laine, Sanjit A. Seshia:
Real-time Funnel Generation for Restricted Motion Planning. - Shuang Gao, Peter E. Caines:
Spectral Representations of Graphons in Very Large Network Systems Control. - Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai:
Optimistic Optimization for Statistical Model Checking with Regret Bounds. - Florian Heimerl, Christoph Kralj, Torsten Möller, Michael Gleicher:
embComp: Visual Interactive Comparison of Vector Embeddings. - Sethuraman Sankaran, David Lesage, Rhea Tombropoulos, Nan Xiao, Hyun Jin Kim, David Spain, Michiel Schaap, Charles A. Taylor:
Physics driven reduced order model for real time blood flow simulations. - Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar:
Memory Augmented Recursive Neural Networks. - Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill:
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. - François Chollet:
On the Measure of Intelligence. - Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. - Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. - Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner:
Benchmarking Simulated Robotic Manipulation through a Real World Dataset. - Ren Pang, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Ting Wang:
The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models. - Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy:
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. - Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang:
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. - Duc Nguyen, Nhan Tran, Hung Le:
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. - Bowen Li, Shiyong Zhu, Jianquan Lu:
An improved transformation between Fibonacci FSRs and Galois FSRs. - Marcin Bienkowski, Jaroslaw Byrka, Christian Coester, Lukasz Jez:
Unbounded lower bound for k-server against weak adversaries. - Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang:
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation. - Edward Collins, Nikolai Rozanov, Bingbing Zhang:
LIDA: Lightweight Interactive Dialogue Annotator. - Hamada A. Nayel, H. L. Shashirekha:
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition. - Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. - James Ferlez, Yasser Shoukry:
AReN: Assured ReLU NN Architecture for Model Predictive Control of LTI Systems. - Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu:
Quasi-Monte Carlo sampling for machine-learning partial differential equations. - Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. - Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang:
Discrete Argument Representation Learning for Interactive Argument Pair Identification. - Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Adversarial Language Games for Advanced Natural Language Intelligence. - Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi:
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings. - Wenye Li, Senyue Hao:
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. - Jason Li:
Faster Parallel Algorithm for Approximate Shortest Path. - Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer:
RNN-T For Latency Controlled ASR With Improved Beam Search. - Shuchi Chawla, Evangelia Gergatsouli, Yifeng Teng, Christos Tzamos, Ruimin Zhang:
Learning Optimal Search Algorithms from Data. - Sina Shaham, Saba Rafieian, Ming Ding, Mahyar Shirvanimoghaddam, Zihuai Lin:
On the Importance of Location Privacy for Users of Location Based Applications. - Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang:
New Potential-Based Bounds for Prediction with Expert Advice. - Geonmo Gu, Siwoo Song, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Multiple Pattern Cartesian Tree Matching. - Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang:
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. - Wei Wang, Chuang Wang, Tao Cui, Yue Li:
Study of Constrained Network Structures for WGANs on Numeric Data Generation. - Sagnik Mukhopadhyay, Danupon Nanongkai:
Weighted Min-Cut: Sequential, Cut-Query and Streaming Algorithms. - Kasra Babaei, Zhiyuan Chen, Tomás Maul:
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF). - Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee:
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks. - Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. - (Withdrawn) A Heuristic Algorithm Based on Tour Rebuilding Operator for the Traveling Salesman Problem.
- Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. - Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu:
ROI Pooled Correlation Filters for Visual Tracking. - Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan:
Adversarial Enhancement for Community Detection in Complex Networks. - Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama:
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. - Andreia Correia, Pedro Ramalhete, Pascal Felber:
A Wait-Free Universal Construct for Large Objects. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. - Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Apprenticeship Learning via Frank-Wolfe. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen:
Improving Slot Filling by Utilizing Contextual Information. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction. - Mahyar Shirvanimoghaddam, Hossein Khayami, Yonghui Li, Branka Vucetic:
Dynamic HARQ with Guaranteed Delay. - Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu:
ColluEagle: Collusive review spammer detection using Markov random fields. - Nader H. Bshouty, George Haddad, Catherine A. Haddad-Zaknoon:
Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing. - Mohammadi Zaki, Avinash Mohan, Aditya Gopalan:
Towards Optimal and Efficient Best Arm Identification in Linear Bandits. - Zhaoxia Yin, Yinyin Peng, Youzhi Xiang:
Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression. - Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel:
DocParser: Hierarchical Structure Parsing of Document Renderings. - Liu Yang, Rudrasis Chakraborty:
A GMM based algorithm to generate point-cloud and its application to neuroimaging. - Johannes Müller, Michael Buchholz:
A Risk and Comfort Optimizing Motion Planning Scheme for Merging Scenarios. - Olasupo O. Ajayi, Antoine B. Bagula, Kun Ma:
Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support. - Diego Ferigo, Silvio Traversaro, Daniele Pucci:
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning. - Panchi Li, Jingrun Chen, Rui Du, Xiao-Ping Wang:
Numerical methods for antiferromagnetics. - Zuo Ye, Tao Zhang, Xiande Zhang, Gennian Ge:
Some New Results on Splitter Sets. - Yifan Zhou, Simon Maskell:
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). - Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. - Xiaozhou Yang, Nan Chen, Chao Zhai:
A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics. - Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
Coreference Resolution as Query-based Span Prediction. - Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain:
Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. - Hendry Ferreira Chame, Jun Tani:
Cognitive and motor compliance in intentional human-robot interaction. - Christof Löding, Anton Pirogov:
New Optimizations and Heuristics for Determinization of Büchi Automata. - Felice De Luca, Emilio Di Giacomo, Seok-Hee Hong, Stephen G. Kobourov, William J. Lenhart, Giuseppe Liotta, Henk Meijer, Alessandra Tappini, Stephen K. Wismath:
Packing Trees into 1-planar Graphs. - Rahat Yeasin Emon, Sharmistha Chanda Tista:
An Efficient Word Lookup System by using Improved Trie Algorithm. - Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. - Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia:
Visual Privacy Protection via Mapping Distortion. - Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. - Shuqi Liu, Zhaoxia Wu:
Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy. - Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa:
Distance-Based Network Partitioning. - Qin Huang, Li Quan, Shengli Zhang:
Downsampling and Transparent Coding for Blockchain. - H. Murat Gürsu, Hansini Vijayaraghavan, Wolfgang Kellerer:
Boost Your CotS IEEE 802.15.4 Network with Inter-Slot Interference Cancellation for Industrial IoT. - Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. - Mehmet Çakir, Timo Häckel, Sandra Reider, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks. - Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar:
Enhancing the Privacy of Federated Learning with Sketching. - Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies:
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. - Jun Zhao, Osman Yagan, Virgil D. Gligor:
On Connectivity and Robustness in Random Intersection Graphs. - Christian Eder:
Breaking the Hidden Irreducible Polynomials Scheme. - Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Martin A. Riedmiller:
Quinoa: a Q-function You Infer Normalized Over Actions. - Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger:
Distributed Model Predictive Safety Certification for Learning-based Control. - Soheil Behnezhad, Jakub Lacki, Vahab S. Mirrokni:
Fully Dynamic Matching: Beating 2-Approximation in Δε Update Time. - Paola Bonizzoni, Clelia De Felice, Rocco Zaccagnino, Rosalba Zizza:
Lyndon words versus inverse Lyndon words: queries on suffixes and bordered words. - Huanhou Xiao, Jinglun Shi:
Video Captioning with Text-based Dynamic Attention and Step-by-Step Learning. - Frédéric Nataf:
Adaptive Domain Decomposition method for Saddle Point problem in Matrix Form. - Anastasiia Doinychko, Massih-Reza Amini:
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views. - Ayman Taha, Hoda M. Onsi, Mohammed Nour El din, Osman M. Hegazy:
A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship. - Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson:
An Online Approach to Physical Watermark Design. - Sayak Ray Chowdhury, Aditya Gopalan:
On Online Learning in Kernelized Markov Decision Processes. - Chris Welty, Praveen K. Paritosh, Lora Aroyo:
Metrology for AI: From Benchmarks to Instruments. - Yunjie Gu, Yitong Li, Yue Zhu, Timothy C. Green:
Impedance-Based Whole-System Modeling for a Composite Grid via Frame-Dynamics Embedding. - Alin Albu-Schäffer, Dominic Lakatos, Stefano Stramigioli:
One-Dimensional Solution Families of Nonlinear Systems Characterized by Scalar Functions on Riemannian Manifolds. - Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios:
Reducing audio membership inference attack accuracy to chance: 4 defenses. - Jun Zhao:
Analyzing connectivity of heterogeneous secure sensor networks. - Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni:
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game. - Tomas Geffner, Justin Domke:
A Rule for Gradient Estimator Selection, with an Application to Variational Inference. - Thomas Ehrhard:
Non-idempotent intersection types in logical form. - Mojdeh Karbalaee Motalleb, Vahid Shah-Mansouri, Salar Nouri Naghadeh:
Joint Power Allocation and Network Slicing in an Open RAN System. - Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam:
BlenderProc. - Candice Bentéjac, Anna Csörgo, Gonzalo Martínez-Muñoz:
A Comparative Analysis of XGBoost. - Pablo Morales-Alvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. - Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel:
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. - John Licato, Zaid Marji, Sophia Abraham:
Scenarios and Recommendations for Ethical Interpretive AI. - Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger:
DLA: Dense-Layer-Analysis for Adversarial Example Detection. - Mazen Al-Wadi, Aziz Mohaisen, Amro Awad:
Phoenix: Towards Persistently Secure, Recoverable, and NVM Friendly Tree of Counters. - Hafiz ur Rahman, Farag Azzedin, Ahmad Shawahna, Faisal Sajjad, Alyahya Saleh Abdulrahman:
Performance Evaluation of VDI Environment. - Hanbaek Lyu, Deanna Needell, Laura Balzano:
Online matrix factorization for Markovian data and applications to Network Dictionary Learning. - Amelia Drew, Alexander Heinecke:
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F). - Junjie Yang, Hai Zhao:
Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding. - Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. - Thomas Führer, Michael Karkulik:
Space-time least-squares finite elements for parabolic equations. - Yaniv Shulman:
Dynamic Time Warp Convolutional Networks. - (Withdrawn) The Bron-Kerbosch Algorithm with Vertex Ordering is Output-Sensitive.
- Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang:
Test Metrics for Recurrent Neural Networks. - Alexandr Andoni, Clifford Stein, Peilin Zhong:
Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators. - Jess Banks, Sidhanth Mohanty, Prasad Raghavendra:
Local Statistics, Semidefinite Programming, and Community Detection. - Mehdi El Krari, Belaïd Ahiod:
A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem. - Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. - Elena Limonova, Daniil Matveev, Dmitry P. Nikolaev, Vladimir V. Arlazarov:
Bipolar Morphological Neural Networks: Convolution Without Multiplication. - Jeonghun J. Lee, Sander Rhebergen:
A hybridized discontinuous Galerkin method for Poisson-type problems with sign-changing coefficients. - Xuan-Phi Nguyen, Shafiq R. Joty, Wu Kui, Ai Ti Aw:
Data Diversification: An Elegant Strategy For Neural Machine Translation. - Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. - Luca Celotti, Simon Brodeur, Jean Rouat:
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents. - Amit Kumar Verma, Diksha Tiwari:
A note on Legendre, Hermite, Chebyshev, Laguerre and Gegenbauer wavelets with an application on sbvps arising in real life. - Wubing Chen, Zhiying Xu, Shuyu Shi, Yang Zhao, Jun Zhao:
A Survey of Blockchain Applications in Different Domains. - Sitan Chen, Jerry Li, Ankur Moitra:
Efficiently Learning Structured Distributions from Untrusted Batches. - Mohamed Tarek Ibn Ziad, Miguel A. Arroyo, Evgeny Manzhosov, Vasileios P. Kemerlis, Simha Sethumadhavan:
PAIRS: Control Flow Protection using Phantom Addressed Instructions. - William S. Evans, Ellen Gethner, Jack Spalding-Jamieson, Alexander Wolff:
Angle Covers: Algorithms and Complexity. - Thai Le, Suhang Wang, Dongwon Lee:
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. - Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas:
Guided Layer-wise Learning for Deep Models using Side Information. - Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico:
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results. - Zhisheng Xiao, Qing Yan, Yali Amit:
A Method to Model Conditional Distributions with Normalizing Flows. - Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. - Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko:
Federated Adversarial Domain Adaptation. - Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod:
Response Prediction for Low-Regret Agents. - Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. - Karan Juj, Charith Perera:
Exploring the Suitability of BLE Beacons to Track Poacher Vehicles in Harsh Jungle Terrains. - Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Alper Ahmetoglu, Ethem Alpaydin:
Hierarchical Mixtures of Generators for Adversarial Learning. - Max Morrison, Bryan Pardo:
OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example. - Kunal Talwar:
Computational Separations between Sampling and Optimization. - Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen:
Post-Training 4-bit Quantization on Embedding Tables. - Kshitij P. Fadnis, Kartik Talamadupula, Pavan Kapanipathi, Haque Ishfaq, Salim Roukos, Achille Fokoue:
Heuristics for Interpretable Knowledge Graph Contextualization. - Tolulope A. Odetola, Ogheneuriri Oderhohwo, Syed Rafay Hasan:
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices. - Alba Herrera-Palacio, Carles Ventura, Carina Silberer, Ionut-Teodor Sorodoc, Gemma Boleda, Xavier Giró-i-Nieto:
Recurrent Instance Segmentation using Sequences of Referring Expressions. - Mine Sarac, Allison M. Okamura, Massimiliano Di Luca:
Effects of Haptic Feedback on the Wrist during Virtual Manipulation. - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Spatial-Temporal Cluster Relations - A Foundation for Trajectory Cluster Lifetime Analysis. - Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu:
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs. - Bashar Huleihel, Oron Sabag, Haim H. Permuter, Navin Kashyap, Shlomo Shamai:
Computable Upper Bounds on the Capacity of Finite-State Channels. - Li Tan, Marc Charest, Nathan DeBardeleben, Qiang Guan, Ben Bergen:
Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications. - Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. - Li Tan, Nathan DeBardeleben:
Failure Analysis and Quantification for Contemporary and Future Supercomputers. - Yanqi Zhang, Yu Gan, Christina Delimitrou:
uqSim: Scalable and Validated Simulation of Cloud Microservices. - Wenhao Zhuo:
Control Strategies for Microgrids with Renewable Energy Generation and Battery Energy Storage Systems. - Santhosh Prabhu, Kuan-Yen Chou, Ali Kheradmand, Philip Brighten Godfrey, Matthew Caesar:
Plankton: Scalable network configuration verification through model checking. - Farley Lai, Ning Xie, Derek Doran, Asim Kadav:
Contextual Grounding of Natural Language Entities in Images. - Yujing Chen, Yue Ning, Huzefa Rangwala:
Asynchronous Online Federated Learning for Edge Devices. - Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu:
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. - Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro:
Intriguing Properties of Adversarial ML Attacks in the Problem Space. - Johannes Brustle, Yang Cai, Constantinos Daskalakis:
Multi-Item Mechanisms without Item-Independence: Learnability via Robustness. - Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane:
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. - Jing Sun, Daxin Nie, Weihua Deng:
Error estimates for backward fractional Feynman-Kac equation with non-smooth initial data. - Noam Shazeer:
Fast Transformer Decoding: One Write-Head is All You Need. - Therese Biedl:
Are highly connected 1-planar graphs Hamiltonian? - James M. Murphy:
Spatially regularized active diffusion learning for high-dimensional images. - Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Safe Linear Thompson Sampling. - Junliang Lin, Gongpu Wang, Rongfei Fan, Theodoros A. Tsiftsis, Chintha Tellambura:
Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces. - Chuyang Ke, Jean Honorio:
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. - Xiao Sun, Zhouhui Lian, Jianguo Xiao:
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation. - Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu:
Distributional Reward Decomposition for Reinforcement Learning. - Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu:
CoKE: Contextualized Knowledge Graph Embedding. - Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. - Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. - Ahmed M. Elmisery, Mirela Sertovic:
Privacy Preserving Threat Hunting in Smart Home Environments. - Emily Herbert, Arjun Guha:
A Language-based Serverless Function Accelerator. - Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision. - Junru Ma, Jinquan Luo:
Symbol-pair Weight Distributions of Some Linear Codes. - Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha:
Experience Sharing Between Cooperative Reinforcement Learning Agents. - Mikhail Kopeliovich, Yuriy Mironenko, Mikhail Petrushan:
Architectural Tricks for Deep Learning in Remote Photoplethysmography. - Sayandev Mukherjee:
Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set. - Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth:
The gradient complexity of linear regression. - Jiahua Jiang, Yanlai Chen:
Multi-level adaptive greedy algorithms for the reduced basis method. - Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. - Meng Xi, Zhiling Luo, Naibo Wang, Jianwei Yin:
A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data. - Zhaojie Yang, Yi Fang, Guohua Zhang, Francis C. M. Lau, Shahid Mumtaz, Daniel B. da Costa:
Analysis and Optimization of Tail-Biting Spatially Coupled Protograph LDPC Codes for BICM-ID Systems. - Valeri Aronov:
Fast Derivatives for Multilinear Polynomials. - Zihao Xie, Wenbing Tao, Li Zhu, Lin Zhao:
Localization-aware Channel Pruning for Object Detection. - Haoyuan Pan, Soung Chang Liew:
Information Update: TDMA or FDMA? - Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. - Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng:
MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. - Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Secure Federated Submodel Learning. - Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Shixiang Gu:
A Divergence Minimization Perspective on Imitation Learning Methods. - Ying Luo, Fengshun Xiao, Hai Zhao:
Hierarchical Contextualized Representation for Named Entity Recognition. - Jaroslaw Byrka, Fabrizio Grandoni, Afrouz Jabal Ameli:
Breaching the 2-Approximation Barrier for Connectivity Augmentation: a Reduction to Steiner Tree. - (Withdrawn) Predictive modeling of brain tumor: A Deep learning approach.
- Devansh Verma, Priyansh Saxena, Ritu Tiwari:
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment. - Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He:
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting. - Yujing Wang, Darrel Ma:
Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio. - Sina Molavipour, Germán Bassi, Mikael Skoglund:
Conditional Mutual Information Neural Estimator. - Claudia Malzer, Marcus Baum:
HDBSCAN(ε̂): An Alternative Cluster Extraction Method for HDBSCAN. - Anand S. Sahadevan, Arundhati Misra, Praveen Gupta:
Spatial Feature Extraction in Airborne Hyperspectral Images Using Local Spectral Similarity. - Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. - Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick:
Optimal non-adaptive group testing. - Agata Ciabattoni, Tim Lyon, Revantha Ramanayake, Alwen Tiu:
Display to Labelled Proofs and Back Again for Tense Logics. - Amir Vakili Tahami, Azadeh Shakery:
Enriching Conversation Context in Retrieval-based Chatbots. - Luca Heltai, Wenyu Lei:
A priori error estimates of regularized elliptic problems. - Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams:
Adaptively selecting occupations to detect skill shortages from online job ads. - Weijia Yao, Ming Cao:
Path Following Control in 3D for Nonholonomic Robots Using a Vector Field. - Pierre Cordesse, Marc Massot:
Entropy supplementary conservation law for non-linear systems of PDEs with non-conservative terms: application to the modelling and analysis of complex fluid flows using computer algebra. - Othmane Mounjid, Charles-Albert Lehalle:
Improving reinforcement learning algorithms: towards optimal learning rate policies. - Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan:
Nonverbal Robot Feedback for Human Teachers. - Nils Gessert, Marcel Bengs, Alexander Schlaefer:
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. - Naga Venkata C. Gudapati, Enrico Malaguti, Michele Monaci:
In Search of Dense Subgraphs: How Good is Greedy Peeling? - Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger:
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings. - Tassilo Klein, Moin Nabi:
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds. - Alexander Brandt, Davood Mohajerani, Marc Moreno Maza, Jeeva Paudel, Lin-Xiao Wang:
KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs. - Anamika Chhabra, S. R. S. Iyengar:
Investigating Ortega Hypothesis in Q&A portals: An Analysis of StackOverflow. - Hansi Yang, Quanming Yao, Bo Han, Gang Niu:
Searching to Exploit Memorization Effect in Learning from Corrupted Labels. - Christian Mayr, Sebastian Höppner, Steve B. Furber:
SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning. - Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang, Baoxun Wang:
Guiding Variational Response Generator to Exploit Persona. - Florian Pfisterer, Janek Thomas, Bernd Bischl:
Towards Human Centered AutoML. - Zhifeng Jia, Rui Chen, Jie Li:
DeLottery: A Novel Decentralized Lottery System Based on Blockchain Technology. - Yousef Abuseta:
A Fog Computing Based Architecture for IoT Services and Applications Development. - Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. - Xuan Di, Xu Chen, Eric Talley:
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach. - Man-Kwun Chiu, Stefan Felsner, Manfred Scheucher, Patrick Schnider, Raphael Steiner, Pavel Valtr:
On the Average Complexity of the k-Level. - Marion Darbas, Jérémy Heleine, Stephanie Lohrengel:
Sensitivity analysis for 3D Maxwell's equations and its use in the resolution of an inverse medium problem at fixed frequency. - Seongkyu Mun, Soyeon Choe, Jaesung Huh, Joon Son Chung:
The sound of my voice: speaker representation loss for target voice separation. - Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei:
Energy Efficient Federated Learning Over Wireless Communication Networks. - Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini:
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes. - Neil K. Chada, Xin T. Tong:
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings. - Frédéric Giroudot, Ahlem Mifdaoui:
Graph-based Approach for Buffer-aware Timing Analysis of Heterogeneous Wormhole NoCs under Bursty Traffic. - Igal Sason:
On Data-Processing and Majorization Inequalities for f-Divergences with Applications. - Divesh Aggarwal, Huck Bennett, Alexander Golovnev, Noah Stephens-Davidowitz:
Fine-grained hardness of CVP(P) - Everything that we can prove (and nothing else). - Lukas Behrendt, Katrin Casel, Tobias Friedrich, J. A. Gregor Lagodzinski, Alexander Löser, Marcus Wilhelm:
From Symmetry to Asymmetry: Generalizing TSP Approximations by Parametrization. - Agathe Balayn, Alessandro Bozzon, Zoltán Szlávik:
Unfairness towards subjective opinions in Machine Learning. - Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso:
zksk: A Library for Composable Zero-Knowledge Proofs. - Elvina Gindullina, Leonardo Badia, Deniz Gündüz:
Average Age-of-Information with a Backup Information Source. - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. - James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi:
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. - Agathe Balayn, Alessandro Bozzon:
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity. - Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies:
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization. - Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter:
OpenML-Python: an extensible Python API for OpenML. - William J. Layton, Michael Schneier:
Diagnostics for Eddy Viscosity Models of Turbulence Including Data-Driven/Neural Network Based Parameterizations. - Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang:
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. - Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov:
E.T.-RNN: Applying Deep Learning to Credit Loan Applications. - Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan:
A Programmable Approach to Model Compression. - Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis:
AIM 2019 Challenge on Image Demoireing: Dataset and Study. - Sungjoon Park, Jiseon Kim, Jaeyeol Jeon, Heeyoung Park, Alice Oh:
Toward Dimensional Emotion Detection from Categorical Emotion Annotations. - Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla:
Algorithms and Adaptivity Gaps for Stochastic k-TSP. - Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods. - Alessandro Rigazzi:
DC-S3GD: Delay-Compensated Stale-Synchronous SGD for Large-Scale Decentralized Neural Network Training. - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. - Georgiy Platonov, Benjamin Kane, Aaron Gindi, Lenhart K. Schubert:
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World. - Manolis Antonoyiannakis:
Impact Factor volatility to a single paper: A comprehensive analysis of 11639 journals. - Markus Bläser, Christian Ikenmeyer, Vladimir Lysikov, Anurag Pandey, Frank-Olaf Schreyer:
Variety Membership Testing, Algebraic Natural Proofs, and Geometric Complexity Theory. - John A. Evans, David Kamensky, Yuri Bazilevs:
Variational multiscale modeling with discretely divergence-free subscales. - David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola:
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. - Maximilian Gaukler, Günter Roppenecker, Peter Ulbrich:
Details and Proofs for: Stability Analysis of Multivariable Digital Control Systems with Uncertain Timing. - Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz:
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. - Andrew W. Berning Jr., Anouck Girard, Ilya V. Kolmanovsky, Sarah N. D'Souza:
Rapid Uncertainty Propagation and Chance-Constrained Path Planning for Small Unmanned Aerial Vehicles. - Dariusz Marek, Adam Domanski, Joanna Domanska, Tadeusz Czachórski, Jerzy Klamka, Jakub Szygula:
A Diffusion Approximation model of Active Queue Management. - Andrey Velichko, Maksim Belyaev, D. V. Ryabokon, S. D. Khanin:
The non-capacitor model of leaky integrate-and-fire VO2 neuron with the thermal mechanism of the membrane potential. - Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. - Pragaash Ponnusamy, Alireza Roshan Ghias, Chenlei Guo, Ruhi Sarikaya:
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. - Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides:
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses. - Robert O'Shea:
Gextext: Unsupervised Knowledge Modelling in Biomedical Literature. - Jean-Michel Bruel, Sophie Ebersold, Florian Galinier, Alexandr Naumchev, Manuel Mazzara, Bertrand Meyer:
Formality in Software Requirements. - Jonathan Lorraine, Paul Vicol, David Duvenaud:
Optimizing Millions of Hyperparameters by Implicit Differentiation. - Leyla Burusheva, Vladimir N. Temlyakov:
Sparse approximation of individual functions. - Mahdi Mousavi, Anja Klein:
Energy and Social Cost Minimization for Data Dissemination in Wireless Networks: Centralized and Decentralized Approaches. - Cecilia Romaro, Fernando Araujo Najman, Morgan André:
A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons. - Ruochi Zhang, Yuesong Zou, Jian Ma:
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. - Yue Wu, Leman Akoglu, Ian Davidson:
Coverage-based Outlier Explanation. - Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting with Rich Maps. - Olakunle Ibitoye, Rana Abou Khamis, Ashraf Matrawy, M. Omair Shafiq:
The Threat of Adversarial Attacks on Machine Learning in Network Security - A Survey. - Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar, Akhil Kandregula, Kalpam Suhaas, Sourangshu Bhattacharya, Niloy Ganguly:
Map Enhanced Route Travel Time Prediction using Deep Neural Networks. - Judith Clymo, Haik Manukian, Nathanaël Fijalkow, Adrià Gascón, Brooks Paige:
Data Generation for Neural Programming by Example. - Soumyottam Chatterjee, Gopal Pandurangan, Nguyen Dinh Pham:
Distributed MST: A Smoothed Analysis. - Jun Rekimoto:
Homo Cyberneticus: The Era of Human-AI Integration. - Kian Kenyon-Dean:
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form. - Suvrit Sra:
Metrics Induced by Quantum Jensen-Shannon-Renyí and Related Divergences. - Alexandre Rochette, Yadollah Yaghoobzadeh, Timothy J. Hazen:
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection. - M. Asif Naeem, Erum Mehmood, M. G. Abbas Malik, Noreen Jamil:
Optimizing Semi-Stream CACHEJOIN for Near-Real-Time Data Warehousing. - Philippe Vincent-Lamarre, Vincent Larivière:
Content and linguistic biases in the peer review process of artificial intelligence conferences. - Ariel Kulik, Hadas Shachnai:
Analysis of Two-variable Recurrence Relations with Application to Parameterized Approximations. - Timothy J. Hazen, Shehzaad Dhuliawala, Daniel Boies:
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks. - Ben S. Southworth, Abdullah Ali Sivas, Sander Rhebergen:
On fixed-point, Krylov, and 2×2 block preconditioners for nonsymmetric problems. - Julien Corman, Guohui Xiao:
Certain Answers to a SPARQL Query over a Knowledge Base (extended version). - Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. - Emily L. Aiken, André T. Nguyen, Mauricio Santillana:
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. - Abraham Westerbaan, Luuk Hendriks:
Polymorphic Encryption and Pseudonymisation of IP Network Flows. - Jonathan Lacotte, Mert Pilanci:
Faster Least Squares Optimization. - Marzina Vidal, Tiago Massoni, Franklin Ramalho:
A Domain-Specific Language for Verifying Software Requirement Constraints. - (Withdrawn) Generalized Transformation-based Gradient.
- Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne:
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. - Jesse Mu, Percy Liang, Noah D. Goodman:
Shaping Visual Representations with Language for Few-shot Classification. - Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. - Paul A. Crook, Shivani Poddar, Ankita De, Semir Shafi, David Whitney, Alborz Geramifard, Rajen Subba:
SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform. - Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao:
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing. - Zhou Fang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada:
Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG. - Marcus D. R. Klarqvist, Wojciech Mula, Daniel Lemire:
Efficient Computation of Positional Population Counts Using SIMD Instructions. - Yu Wang, Xiaoxi Zhu:
Fuzzy Logic based Autonomous Parking Systems - Part II: A Hybrid Dual Controller System. - Yu Wang, Xiaoxi Zhu:
Fuzzy Logic based Autonomous Parking Systems - Part IV: A Multiple-Model Adaptive Neural-Fuzzy Controller. - Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Conversation Generation with Concept Flow. - Zhong Zhou, Lori S. Levin, David R. Mortensen, Alex Waibel:
Low-Resource Machine Translation using Interlinear Glosses. - Sen Yang, Leyang Cui, Yue Zhang:
Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis. - Han Zhuang, Daniel E. Acuna:
The effect of novelty on the future impact of scientific grants. - Benjamin Caulfield, Sanjit A. Seshia:
Modularity in Query-Based Concept Learning. - William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel:
Fair Allocation through Selective Information Acquisition. - Sepehr Assadi, Sahil Singla:
Improved Truthful Mechanisms for Combinatorial Auctions with Submodular Bidders. - Jingwen Fu, Licheng Zong, Yinbing Li, Ke Li, Bingqian Yang, Xibei Liu:
Model Adaption Object Detection System for Robot. - Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung:
Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. - Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang:
Option Compatible Reward Inverse Reinforcement Learning. - Muhammad Asif Rana, Daphne Chen, Seyed Reza Ahmadzadeh, Jacob Williams, Vivian Chu, Sonia Chernova:
Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance. - Hamed AlQahtani, Charles Z. Liu, Manolya Kavakli-Thorne, Yuzhi Kang:
An Agent-Based Intelligent HCI Information System in Mixed Reality. - Chunting Zhou, Graham Neubig, Jiatao Gu:
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. - Mengge Xue, Bowen Yu, Tingwen Liu, Bin Wang, Erli Meng, Quangang Li:
Porous Lattice-based Transformer Encoder for Chinese NER. - Qi Zhan, Wenjin Wang, Gerard de Haan:
Analysis of CNN-based remote-PPG to understand limitations and sensitivities. - Wei Zhang, Feifei Lin, Xiaodong Wang, Zhenshuang Liang, Zhen Huang:
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding. - Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li:
Diversified Co-Attention towards Informative Live Video Commenting. - Niral Shah, Ashwin Shankar, Jae-Hong Park:
Detecting Driveable Area for Autonomous Vehicles. - Ishan D. Khurjekar, Joel B. Harley:
Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning. - Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu:
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. - Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan:
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce. - Tong Zhang, Fatih Porikli:
Sparse Coding on Cascaded Residuals. - Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang:
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework. - Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. - Sue Min Cho, Young-Gon Kim, Jinhoon Jeong, Ho-jin Lee, Namkug Kim:
Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery. - Homayoon Hatami, David G. M. Mitchell, Daniel J. Costello Jr., Thomas E. Fuja:
Performance Bounds and Estimates for Quantized LDPC Decoders. - Yunshen Zhou, Zhaojun Bai, Ren-Cang Li:
Linear Constrained Rayleigh Quotient Optimization: Theory and Algorithms. - Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey:
Characterizing behavioral trends in a community driven discussion platform. - Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Ye Yuan, Zhiwei Zhang:
Mining Bursting Communities in Temporal Graphs. - Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
GORC: A large contextual citation graph of academic papers. - Kei Kimura, Akira Suzuki:
Trichotomy for the reconfiguration problem of integer linear systems. - Yang Li, Gang Liu, Junbin Gao, Zhenwen He, Mingyuan Bai, Chengjun Li:
Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams. - Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang:
Active Multi-Label Crowd Consensus. - Fang Liu, Guoming Tang, Youhuizi Li, Zhiping Cai, Xingzhou Zhang, Tongqing Zhou:
A Survey on Edge Computing Systems and Tools. - Herb Kunze, Davide La Torre:
Solving Inverse Problems for Steady-State Equations using A Multiple Criteria Model with Collage Distance, Entropy, and Sparsity. - Marion Darbas, Jérémy Heleine, Stephanie Lohrengel:
About an inverse electromagnetic coefficient problem: uniqueness with partial boundary data and quasi-reversibility method for data completion. - Yu Pang, Xinyi Li, Lin Yuan, Haibin Ling:
Improving Human Annotation in Single Object Tracking. - Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. - Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu:
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. - Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou:
Improving Grammatical Error Correction with Machine Translation Pairs. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-mortem Iris Decomposition and its Dynamics in Morgue Conditions. - Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li:
Teacher-Student Training for Robust Tacotron-based TTS. - Yinan Zhang, Raphael Tang, Jimmy Lin:
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks. - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
CROWN: Conversational Passage Ranking by Reasoning over Word Networks. - Zuchao Li, Shexia He, Junru Zhou, Hai Zhao, Kevin Parnow, Rui Wang:
Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank. - Xiaozhou Yang, Nan Chen, Chao Zhai:
Optimal PMU Placement for Outage Detection and Identification using Genetic Algorithm. - Denise Pumain, Juste Raimbault:
Perspectives on urban theories. - Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, Jiwei Li:
Dice Loss for Data-imbalanced NLP Tasks. - Zhongda Chu, Uros Markovic, Gabriela Hug, Fei Teng:
Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines. - Zhaojian Wang, Feng Liu, Zhiyuan Ma, Yue Chen, Mengshuo Jia, Wei Wei, Qiuwei Wu:
Distributed Generalized Nash Equilibrium Seeking for Non-Monotone Energy Sharing Games. - Alessandro Crivellaro, Ali Tayyebi, Catalin Gavriluta, Dominic Groß, Adolfo Anta, Friederich Kupzog, Florian Dörfler:
Beyond low-inertia systems: Massive integration of grid-forming power converters in transmission grids. - Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan:
H∞ Model-free Reinforcement Learning with Robust Stability Guarantee. - Benjamin Finley, Alexandr Vesselkov:
Cellular IoT Traffic Characterization and Evolution. - Yusuf Yigit Pilavci, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural:
Graph Domain Adaptation with Localized Graph Signal Representations. - Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson:
Hierarchical Finite State Controllers for Generalized Planning. - Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This dataset does not exist: training models from generated images. - Michal Ganczorz:
Towards Better Compressed Representations. - Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. - Kevin S. Galloway, Biswadip Dey:
Beacon-referenced Pursuit for Collective Motions in Three Dimensions. - Jinhyuk Lee, Min Joon Seo, Hannaneh Hajishirzi, Jaewoo Kang:
Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering. - Matt Angus, Krzysztof Czarnecki, Rick Salay:
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. - Loïc Vial, Benjamin Lecouteux, Didier Schwab, Hang Le, Laurent Besacier:
The LIG system for the English-Czech Text Translation Task of IWSLT 2019. - Johannes Köhler, Peter Kötting, Raffaele Soloperto, Frank Allgöwer, Matthias A. Müller:
A robust adaptive model predictive control framework for nonlinear uncertain systems. - Jakob Heiss, Josef Teichmann, Hanna Wutte:
How implicit regularization of Neural Networks affects the learned function - Part I. - Haider Al Kim, Sven Puchinger, Antonia Wachter-Zeh:
Error Correction for Partially Stuck Memory Cells. - Valderi R. Q. Leithardt, Douglas A. dos Santos, Luis Augusto Silva, Felipe Viel, Cesar A. Zeferino, Jorge Sá Silva:
A Solution for Controlling and Managing User Profiles based on Data Privacy for IoT Applications. - Jonah Brown-Cohen, Prasad Raghavendra:
Extended Formulation Lower Bounds for Refuting Random CSPs. - Lena Pons, Ipek Ozkaya:
Priority Quality Attributes for Engineering AI-enabled Systems. - Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan:
Transformation of Dense and Sparse Text Representations. - Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht:
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. - Luciano Melodia, Richard Lenz:
Persistent Homology as Stopping-Criterion for Natural Neighbor Interpolation. - Dario Ballarini, Antonio Gianfrate, Riccardo Panico, Andrzej Opala, Sanjib Ghosh, Lorenzo Dominici, Vincenzo Ardizzone, Milena De Giorgi, Giovanni Lerario, Giuseppe Gigli, Timothy C. H. Liew, Michal Matuszewski, Daniele Sanvitto:
Polaritonic neuromorphic computing outperforms linear classifiers. - S. Ashwin Renganathan, Kohei Harada, Dimitri N. Mavris:
Aerodynamic Data Fusion Towards the Digital Twin Paradigm. - Mustafa Coskun:
Graph Convolutional Networks Meet with High Dimensionality Reduction. - Yile Wang, Leyang Cui, Yue Zhang:
Using Dynamic Embeddings to Improve Static Embeddings. - Carlo Novara, Angelo Nicolì, Giuseppe Carlo Calafiore:
Nonlinear system identification in Sobolev spaces. - Leonardo Novelli, Fatihcan M. Atay, Jürgen Jost, Joseph T. Lizier:
Deriving pairwise transfer entropy from network structure and motifs. - Rema Daher, Mohammad Kassem Zein, Julia El Zini, Mariette Awad, Daniel C. Asmar:
Change your singer: a transfer learning generative adversarial framework for song to song conversion. - N. A. Mohamed, Ahmed S. Rashed:
Efficient Numerical Scheme for Solving (1+1), (2+1)-dimensional and Coupled Burgers Equation. - Charles M. Elliott, Philip J. Herbert:
Second order splitting of a class of fourth order PDEs with point constraints. - Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid:
Improved Visual Localization via Graph Smoothing. - Vishal Anand, S. R. Sreeja, Debasis Samanta:
An automated approach for task evaluation using EEG signals. - R. Thomas McCoy, Junghyun Min, Tal Linzen:
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. - Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin:
SENSE: Semantically Enhanced Node Sequence Embedding. - Zhuosheng Zhang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Hai Zhao:
Probing Contextualized Sentence Representations with Visual Awareness. - Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. - Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang:
The TechQA Dataset. - Satoshi Hashizume, Amy Koike, Takayuki Hoshi, Yoichi Ochiai:
Sonovortex: Aerial Haptic Layer Rendering by Aerodynamic Vortex and Focused Ultrasound. - Shatian Wang, Zhen Xu, Van-Anh Truong:
Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints. - Zihan Jiang, Jiansong Li, Jiangfeng Zhan:
The Pitfall of Evaluating Performance on Emerging AI Accelerators. - Peng Shi, Jimmy Lin:
Cross-Lingual Relevance Transfer for Document Retrieval. - Elijah D. Bolluyt, Cristina Comaniciu:
Collapse Resistant Deep Convolutional GAN for Multi-Object Image Generation. - Elijah D. Bolluyt, Cristina Comaniciu:
Dynamic Influence on Replicator Evolution for the Propagation of Competing Technologies. - Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu:
CFS: A Distributed File System for Large Scale Container Platforms. - Mohammad Mahdi Bejani, Mehdi Ghatee:
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study. - Qinbin Li, Zeyi Wen, Bingsheng He:
Adaptive Kernel Value Caching for SVM Training. - Simeng Han, Xiang Lin, Shafiq R. Joty:
Resurrecting Submodularity in Neural Abstractive Summarization. - Mohammad Yaghini, Hoda Heidari, Andreas Krause:
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness. - Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi:
Why Do Masked Neural Language Models Still Need Common Sense Knowledge? - Shamila Nateghi, Yuri B. Shtessel, Christopher Edwards, Jean-Pierre Barbot:
Secure State Estimation and Attack Reconstruction in Cyber-Physical Systems: Sliding Mode Observer Approach. - Duc A. Hoang, Akira Suzuki, Tsuyoshi Yagita:
Reconfiguring k-path vertex covers. - Robert Kelly, Barak A. Pearlmutter, Phil Maguire:
Lock-Free Hopscotch Hashing. - Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. - Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten:
Certified Data Removal from Machine Learning Models. - Shuo Yang, Yanyao Shen, Sujay Sanghavi:
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space. - Jason W. Bentley, Daniel Gibney, Sharma V. Thankachan:
On the Complexity of BWT-runs Minimization via Alphabet Reordering. - Fred W. Glover, Gary A. Kochenberger, Moses Ma, Yu Du:
Quantum Bridge Analytics II: Combinatorial Chaining for Asset Exchange. - Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. - Shikhar Vashishth:
Neural Graph Embedding Methods for Natural Language Processing. - Rong Ge, Holden Lee, Jianfeng Lu:
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds. - Chaitanya Joshi, Paul T. Brown, Stephen Joe:
On approximating the shape of one dimensional functions. - Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. - Kun Ma, Antoine B. Bagula, Olasupo Ajayi:
Quality of Service (QoS) Modelling in Federated Cloud Computing. - Mahesh Joshi, Bodhisatwa Mazumdar, Somnath Dey:
A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation. - Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator. - Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
An Experimental Comparison of Old and New Decision Tree Algorithms. - Antonios Anastasopoulos, Graham Neubig:
Should All Cross-Lingual Embeddings Speak English? - Afra Anika, Md. Hasibur Rahman, Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman:
A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification. - Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli:
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. - Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber:
Interactive Refinement of Cross-Lingual Word Embeddings. - Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis, Geert Leus:
Learning Connectivity and Higher-order Interactions in Radial Distribution Grids. - Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand:
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. - Arafat Al-Dweik, Fuqin Xiong:
Maximum Likelihood Decoding of Convolutionally Coded Noncoherent ASK Signals in AWGN Channels. - Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep geometric knowledge distillation with graphs. - Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar:
Composition-based Multi-Relational Graph Convolutional Networks. - Bhavan Jasani, Rohit Girdhar, Deva Ramanan:
Are we asking the right questions in MovieQA? - Zhaorui Wang, Liang Liu, Shuguang Cui:
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications. - (Withdrawn) Constacyclic codes of length 4ps over the Galois ring GR(pa, m).
- Jaejun Lee, Raphael Tang, Jimmy Lin:
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning. - Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen:
Relation Adversarial Network for Low Resource KnowledgeGraph Completion. - Parikshit Pareek, Chuan Wang, Hung D. Nguyen:
Non-parametric Probabilistic Load Flow using Gaussian Process Learning. - Erwan Mahe, Christophe Gaston, Pascale Le Gall:
Revisiting Semantics of Interactions for Trace Validity Analysis. - Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. - Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. - Yi Hao, Alon Orlitsky:
Unified Sample-Optimal Property Estimation in Near-Linear Time. - Mathias Müller, Annette Rios, Rico Sennrich:
Domain Robustness in Neural Machine Translation. - Liangyou Li, Xin Jiang, Qun Liu:
Pretrained Language Models for Document-Level Neural Machine Translation. - Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. - Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling:
Not Enough Data? Deep Learning to the Rescue! - Swen Jacobs, Mouhammad Sakr, Martin Zimmermann:
Promptness and Bounded Fairness in Concurrent and Parameterized Systems. - Silviu Oprea, Walid Magdy:
iSarcasm: A Dataset of Intended Sarcasm. - Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
A Cooperative Coordination Solver for Travelling Thief Problems. - Paul Magron, Tuomas Virtanen:
Online Spectrogram Inversion for Low-Latency Audio Source Separation. - (Withdrawn) A Novel Sybil Attack Detection Scheme Based on Edge Computing for Mobile IoT Environment.
- Andreas Folkers, Matthias Rick, Christof Büskens:
Time-Dependent Hybrid-State A* and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environment. - Parimala Kancharla, Sumohana S. Channappayya:
Quality Aware Generative Adversarial Networks. - Jian-Feng Cai, Jae Kyu Choi, Ke Wei:
Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization. - Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation? - Andrew N. W. Hone, G. R. W. Quispel:
Analogues of Kahan's method for higher order equations of higher degree. - Yilei Shi, Qingyu Li, Xiao Xiang Zhu:
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding. - Rebecca Fribourg, Nami Ogawa, Ludovic Hoyet, Ferran Argelaguet, Takuji Narumi, Michitaka Hirose, Anatole Lécuyer:
Virtual Co-Embodiment: Evaluation of the Sense of Agency while Sharing the Control of a Virtual Body among Two Individuals. - Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchís, Jorge Civera, Alfons Juan:
Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates. - Qizhi Fang, Yuanxi Wang, Han Xiao:
On the Convexity of Independent Set Games. - Hongfei Xu, Qiuhui Liu, Josef van Genabith, Jingyi Zhang:
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization. - Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel:
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. - Michael B. Giles, Arnulf Jentzen, Timo Welti:
Generalised multilevel Picard approximations. - Miguel E. Coimbra, Alexandre P. Francisco, Luís M. S. Russo, Guillermo de Bernardo, Susana Ladra, Gonzalo Navarro:
On dynamic succinct graph representations. - Kamyar Ghanbarpour, Farhad Bayat, Abolfazl Jalilvand:
Wind Turbines Partial Load Power Regulation Using a Fast MPC Approach. - Heshani Gamage, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Low Latency Decoder for Short Blocklength Polar Codes. - Miguel Romero, Marcin Wrochna, Stanislav Zivný:
Treewidth-Pliability and PTAS for Max-CSPs. - Mario Rosenfelder, Johannes Köhler, Frank Allgöwer:
Stability and performance in transient average constrained economic MPC without terminal constraints. - Ada J. Ellingsrud, Andreas Solbrå, Gaute T. Einevoll, Geir Halnes, Marie E. Rognes:
Finite element simulation of ionicelectrodiffusion in cellular geometries. - Michael Gruber, Matthias Probst, Michael Tempelmeier:
Statistical Ineffective Fault Analysis of GIMLI. - Agnes Schim van der Loeff, Iggy Bassi, Sachin Kapila, Jevgenij Gamper:
AI Ethics for Systemic Issues: A Structural Approach. - Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer:
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. - Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning. - Léo Morin, Renald Brenner, Pierre Suquet:
Numerical simulation of model problems in plasticity based on field dislocation mechanics. - Emmanouil Karampinakis, Michalis Pachilakis, Panagiotis Papadopoulos, Antonis Krithinakis, Evangelos P. Markatos:
The coin that never sleeps. The privacy preserving usage of Bitcoin in a longitudinal analysis as a speculative asset. - Eliya Nachmani, Lior Wolf:
A Gated Hypernet Decoder for Polar Codes. - Yoav Kolumbus, Gali Noti:
Neural Networks for Predicting Human Interactions in Repeated Games. - Yang Liu, Zhuo Ma, Ximeng Liu, Zhuzhu Wang, Siqi Ma, Ken Ren:
Revocable Federated Learning: A Benchmark of Federated Forest. - Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Crowdsourcing a High-Quality Gold Standard for QA-SRL. - Tomás Kliegr, Stepán Bahník, Johannes Fürnkranz:
Advances in Machine Learning for the Behavioral Sciences. - Jaroslav Schmidt, Tomás Janda, Alena Zemanová, Jan Zeman, Michal Sejnoha:
Newmark algorithm for dynamic analysis with Maxwell chain model. - Hugo Pacheco, Nuno Macedo:
ROSY: An elegant language to teach the pure reactive nature of robot programming. - Johnny Condori, Amin Maghareh, Shirley Dyke:
Estimating States for Nonlinear Systems Using the Particle Filter. - Ali Taleb Zadeh Kasgari, Walid Saad, Mohammad Mozaffari, H. Vincent Poor:
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication. - Bobak McCann, Kerry W. Fendick:
The Effect of Erasure Coding on the Burstiness of Packet Loss. - Taisiya Glushkova, Ekaterina Artemova:
Char-RNN and Active Learning for Hashtag Segmentation. - Marco Gaboardi, Kobbi Nissim, David Purser:
The Complexity of Verifying Circuits as Differentially Private. - Shuoguang Yang, Shatian Wang, Van-Anh Truong:
Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence. - Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Kaixing Zhao:
Dynamic Multi-Task Learning for Face Recognition with Facial Expression. - Andreas Abel, Jan Reineke:
nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems. - Daniele Moro, Stacy Black, Casey Kennington:
Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics. - Katerine Romeo, Edwige E. Pissaloux, Frédéric Serin:
Accessible tables in digital documents. - Loïck Bonniot, Christoph Neumann, François Taïani:
PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore. - Mohammad Taha Bahadori, Layne C. Price:
Discovering Invariances in Healthcare Neural Networks. - Guilherme de C. M. Gomes, Matheus R. Guedes, Vinícius Fernandes dos Santos:
Structural Parameterizations for Equitable Coloring. - Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang:
Blockchain for Future Smart Grid: A Comprehensive Survey. - Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
A nonlinear tracking model predictive control scheme for dynamic target signals. - Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou:
AutoIDS: Auto-encoder Based Method for Intrusion Detection System. - Matt Benatan, Edward O. Pyzer-Knapp:
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning. - Jindrich Libovický, Rudolf Rosa, Alexander Fraser:
How Language-Neutral is Multilingual BERT? - Zilong Liu, Yong Liang Guan, Chee-Cheon Chui:
CPM Training Waveforms With Autocorrelation Sidelobes Close To Zero. - Palash Sarkar, Sudhan Majhi, Zilong Liu:
Optimal Z-complementary Code Set From Generalized Reed-Muller Codes. - Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini:
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. - Michael Maiworm, Daniel Limón, Rolf Findeisen:
Online Gaussian Process learning-based Model Predictive Control with Stability Guarantees. - Onur Yigit Arpali, Ugur Can Yilmaz, Ebru Aydin Göl, Burcu Güldür Erkal, Murat Gol:
MDP based Decision Support for Earthquake Damaged Distribution System Restoration. - Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. - Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages. - Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature discriminativity estimation in CNNs for transfer learning. - Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman:
Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition. - Joakim Björk, Danilo Obradovic, Karl Henrik Johansson, Lennart Harnefors:
Influence of Sensor Feedback Limitations on Power Oscillation Damping and Transient Stability. - Nora Kassner, Hinrich Schütze:
Negated LAMA: Birds cannot fly. - Marcel C. Bühler, Seonwook Park, Shalini De Mello, Xucong Zhang, Otmar Hilliges:
Content-Consistent Generation of Realistic Eyes with Style. - Juri Opitz, Sebastian Burst:
Macro F1 and Macro F1. - Thomas Scialom, Jacopo Staiano:
Ask to Learn: A Study on Curiosity-driven Question Generation. - (Withdrawn) SEPT: Improving Scientific Named Entity Recognition with Span Representation.
- Mehdi Fooladgar, Mohammad Hossein Manshaei, Murtuza Jadliwala, Mohammad Ashiqur Rahman:
On Incentive Compatible Role-based Reward Distribution in Algorand. - Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. - Nikolay Bogoychev, Rico Sennrich:
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation. - Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Beilei Jiang, Gayatri Mehta:
AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling. - Ankita Tondwalkar, Andres Kwasinski:
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation. - Weikun Zhen, Yaoyu Hu, Huai Yu, Sebastian A. Scherer:
LiDAR Enhanced Structure-from-Motion. - Diego A. Cruz, Sergio S. Lopez, Jorge E. Camargo:
Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique. - Chris Kedzie, Kathleen R. McKeown:
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models. - Maryam Fazel-Zarandi, Longshaokan Wang, Aditya Tiwari, Spyros Matsoukas:
Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery. - Mike Thelwall, Verena Weigert, Liz Allen, Zena Nyakoojo, Eleanor-Rose Papas:
Does the use of open, non-anonymous peer review in scholarly publishing introduce bias? Evidence from the F1000 post-publication open peer review publishing model. - Qingzhi Liu, Wieger IJntema, Anass Drif, Przemyslaw Pawelczak, Marco Zuniga:
BEH: Indoor Batteryless BLE Beacons using RF Energy Harvesting for Internet of Things. - Katy Ilonka Gero, Chris Kedzie, Jonathan Reeve, Lydia B. Chilton:
Low-Level Linguistic Controls for Style Transfer and Content Preservation. - Ishan Srivastava:
A different take on the best-first game tree pruning algorithms. - Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard:
Deep, robust and single shot 3D multi-person human pose estimation in complex images. - Bashir M. Sabquat Bahar Talukder, Vineetha Menon, Biswajit Ray, Tempestt J. Neal, Md. Tauhidur Rahman:
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin. - Szymon Buchaniec, Marek Gnatowski, Grzegorz Brus:
An Analysis of an Integrated Mathematical Modeling - Artificial Neural Network Approach for the Problems with a Limited Learning Dataset. - Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari:
Question Generation from Paragraphs: A Tale of Two Hierarchical Models. - Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference with Deep Generative Priors in High Dimensions. - Dawei Zhang, Guang Yang, Rebecca P. Khurshid:
Haptic Teleoperation of UAVs through Control Barrier Functions. - Konstantinos Gatsis, George J. Pappas:
Statistical Learning for Analysis of Networked Control Systems over Unknown Channels. - Marc Khoury, Jonathan Richard Shewchuk:
Approximation Bounds for Interpolation and Normals on Triangulated Surfaces and Manifolds. - Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. - Akshay Mehra, Jihun Hamm:
Penalty Method for Inversion-Free Deep Bilevel Optimization. - Michal Yemini, Andrea J. Goldsmith:
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Capacity. - Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao:
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. - Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith:
Towards Monitoring Parkinson's Disease Following Drug Treatment: CGP Classification of rs-MRI Data. - Chao Wang, Yi Hou, Matthew J. Barth:
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network. - Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas:
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent. - Janus Varmarken, Hieu Le, Anastasia Shuba, Zubair Shafiq, Athina Markopoulou:
The TV is Smart and Full of Trackers: Towards Understanding the Smart TV Advertising and Tracking Ecosystem. - Jacob Holm, Eva Rotenberg:
Fully-dynamic Planarity Testing in Polylogarithmic Time. - Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu:
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. - Yuxiao Chen, James Anderson, Karan Kalsi, Aaron D. Ames, Steven H. Low:
Safety-Critical Control Synthesis for network systems with Control Barrier Functions and Assume-Guarantee Contracts. - Moreno Marzolla, Gabriele D'Angelo:
Parallel Data Distribution Management on Shared-Memory Multiprocessors. - Yu-Sheng Lin, Wei-Chao Chen, Shao-Yi Chien:
MERIT: Tensor Transform for Memory-Efficient Vision Processing on Parallel Architectures. - Hwiyeol Jo, Byoung-Tak Zhang:
Ruminating Word Representations with Random Noised Masker. - Umberto Michieli, Pietro Zanuttigh:
Knowledge Distillation for Incremental Learning in Semantic Segmentation. - Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr:
Self-Assignment Flows for Unsupervised Data Labeling on Graphs. - Michael Hahn, Andreas Krebs, Howard Straubing:
Wreath Products of Distributive Forest Algebras. - Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
Incentive-aware Contextual Pricing with Non-parametric Market Noise. - Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. - Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez:
Deep Sequential Models for Suicidal Ideation from Multiple Source Data. - Maria Salama, Yehia Elkhatib, Gordon S. Blair:
IoTNetSim: A Modelling and Simulation Platform for End-to-End IoT Services and Networking. - Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, Mahmoud Al-Ayyoub:
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation. - Ataollah Gogani Khiabani, Ali Heydari:
Optimal Torque Control of Permanent Magnet Synchronous Motors Using Adaptive Dynamic Programming. - Nemanja Stefan Perovic, Marco Di Renzo, Mark F. Flanagan:
Transmit-Receive Generalized Spatial Modulation Based on Dual-layered MIMO Transmission. - Marko Angjelichinoski, John S. Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh:
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials. - Philip Bille, Jonas Ellert, Johannes Fischer, Inge Li Gørtz, Florian Kurpicz, Ian Munro, Eva Rotenberg:
Space Efficient Construction of Lyndon Arrays in Linear Time. - Markus Bachmayr, Gábor Csányi, Geneviève Dusson, Simon Etter, Cas van der Oord, Christoph Ortner:
Approximation of Potential Energy Surfaces with Spherical Harmonics. - Alireza Mohammadshahi, James Henderson:
Graph-to-Graph Transformer for Transition-based Dependency Parsing. - Saif M. Mohammad:
The State of NLP Literature: A Diachronic Analysis of the ACL Anthology. - Samaikya Valluripally, Aniket Gulhane, Reshmi Mitra, Khaza Anuarul Hoque, Prasad Calyam:
Attack Trees for Security and Privacy in Social Virtual Reality Learning Environments. - Zhensong Wei, Chao Wang, Peng Hao, Matthew J. Barth:
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network. - Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie:
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions. - Sharif Rahman:
A Spline Chaos Expansion. - Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa:
DZip: improved general-purpose lossless compression based on novel neural network modeling. - Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo:
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. - Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. - Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi:
On the Relationship between Self-Attention and Convolutional Layers. - Ursula Challita, Henrik A. Ryden, Hugo M. Tullberg:
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. - Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. - Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong:
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. - Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai:
Robo-PlaNet: Learning to Poke in a Day. - Yinpeng Guo, Yi Liao, Xin Jiang, Qing Zhang, Yibo Zhang, Qun Liu:
Zero-Shot Paraphrase Generation with Multilingual Language Models. - Lili Yu, Howard Chen, Sida Wang, Yoav Artzi, Tao Lei:
Interactive Classification by Asking Informative Questions. - Yuanyuan Xu, Wan Yan, Haixin Sun, Genke Yang, Jiliang Luo:
CenterFace: Joint Face Detection and Alignment Using Face as Point. - Hailiang Zhao, Shuiguang Deng, Zijie Liu, Jianwei Yin, Schahram Dustdar:
Distributed Redundancy Scheduling for Microservice-based Applications at the Edge. - Tianyu Liu, Wei Wei, William Yang Wang:
Table-to-Text Natural Language Generation with Unseen Schemas. - Ramanpreet Singh Pahwa, Kennard Yanting Chan, Jiamin Bai, Vincensius Billy Saputra, Minh N. Do, Shaohui Foong:
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle. - Alex Bie, Bharat Venkitesh, Joao Monteiro, Md. Akmal Haidar, Mehdi Rezagholizadeh:
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. - Justin Y. Chen, Gregory Valiant, Paul Valiant:
How bad is worst-case data if you know where it comes from? - Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang:
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. - Kamalika Bhattacharjee:
Cellular Automata: Reversibility, Semi-reversibility and Randomness. - Ziqing Yang, Yiming Cui, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Improving Machine Reading Comprehension via Adversarial Training. - Bingguo Mu, Pakpong Chirarattananon:
Universal Flying Objects (UFOs): Modular Multirotor System for Flight of Rigid Objects. - Daniele A. Di Pietro, Jérôme Droniou, Francesca Rapetti:
Fully discrete polynomial de Rham sequences of arbitrary degree on polygons and polyhedra. - Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov:
Worst Cases Policy Gradients. - Hossein Esfandiari, Amin Karbasi, Vahab S. Mirrokni:
Adaptivity in Adaptive Submodularity. - Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Deep Bilinear Transformation for Fine-grained Image Representation. - Reginald E. Bryant, Celia Cintas, Isaac Wambugu, Andrew Kinai, Komminist Weldemariam:
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models. - Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu:
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification. - Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun:
Learning to Copy for Automatic Post-Editing. - Simina Brânzei:
Tit-for-Tat Dynamics and Market Volatility. - (Withdrawn) Action Recognition Using Supervised Spiking Neural Networks.
- Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu:
Hierarchical Graph Network for Multi-hop Question Answering. - Mehmet Karaca, Tansu Alpcan, Özgür Erçetin:
Smart Scheduling and Feedback Allocation over Non-stationary Wireless Channels. - Prasanth G. Narasimha-Shenoi, Bijo S. Anand, Mary Shallet T. J:
Boundary-type Sets of Strong Product of Directed Graphs. - Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. - (Withdrawn) Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model.
- Ondrej Such, Peter Tarábek, Katarína Bachratá, Andrea Tinajová:
Pairwise coupling of convolutional neural networks for better explicability of classification systems. - Hang Thi-Thuy Do, Huy Duc Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen:
Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model. - Shuonan Wu:
$C^0$ finite element approximations of linear elliptic equations in non-divergence form and Hamilton-Jacobi-Bellman equations with Cordes coefficients. - Alberto Redondo, David Ríos Insua:
Protecting from Malware Obfuscation Attacks through Adversarial Risk Analysis. - Anis Elgabli, Jihong Park, Sabbir Ahmed, Mehdi Bennis:
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning. - Rising Odegua:
DataSist: A Python-based library for easy data analysis, visualization and modeling. - Magda Friedjungová, Daniel Vasata, Marcel Jirina:
Missing Features Reconstruction and Its Impact on Classification Accuracy. - Dongyeop Kang, Eduard H. Hovy:
xSLUE: A Benchmark and Analysis Platform for Cross-Style Language Understanding and Evaluation. - Satyajit Neogi, Justin Dauwels:
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling. - Zhen Cheng, Zaixiang Zheng, Xin-Yu Dai, Shujian Huang, Jiajun Chen:
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective. - Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam:
Preservation of Anomalous Subgroups On Machine Learning Transformed Data. - Wei Zou, Shujian Huang, Jun Xie, Xinyu Dai, Jiajun Chen:
A Reinforced Generation of Adversarial Samples for Neural Machine Translation. - Ákos Kádár, Grzegorz Chrupala, Afra Alishahi, Desmond Elliott:
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning. - Kevin Kappelmann:
Decision Procedures for Guarded Logics. - Nina Pörner, Ulli Waltinger, Hinrich Schütze:
BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA. - Irving Reyna Nolasco, Lisandro Dalcín, David C. Del Rey Fernández, Stefano Zampini, Matteo Parsani:
Optimized geometrical metrics satisfying free-stream preservation. - Zhiqi Wang, Kui Wang, Yang Yu, Chenye Wu:
An Algorithmic View on Optimal Storage Sizing. - Matthew Henderson, Iñigo Casanueva, Nikola Mrksic, Pei-Hao Su, Tsung-Hsien Wen, Ivan Vulic:
ConveRT: Efficient and Accurate Conversational Representations from Transformers. - Stéphane d'Ascoli, Alice Coucke, Francesco Caltagirone, Alexandre Caulier, Marc Lelarge:
Conditioned Query Generation for Task-Oriented Dialogue Systems. - Nina Pörner, Ulli Waltinger, Hinrich Schütze:
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity. - Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren:
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. - Saad Wazir, Ataul Aziz Ikram, Hamza Ali Imran, Hanif Ullah, Ahmed Jamal Ikram, Maryam Ehsan:
Performance Comparison of MPICH and MPI4py on Raspberry Pi-3B Beowulf Cluster. - Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Error Analysis for Vietnamese Dependency Parsing. - Talal Ahmed, Haroon Raja, Waheed U. Bajwa:
Tensor Regression Using Low-rank and Sparse Tucker Decompositions. - Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Vietnamese transition-based dependency parsing with supertag features. - Elena Arcari, Lukas Hewing, Melanie N. Zeilinger:
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control. - Vikas Ramachandra:
Forecasting the effect of heat stress index and climate change on cloud data center energy consumption. - Jonathan Baxter:
Learning Internal Representations (PhD Thesis). - George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis:
Physics-Informed Neural Networks for Power Systems. - Marc Tanti, Albert Gatt, Kenneth P. Camilleri:
On Architectures for Including Visual Information in Neural Language Models for Image Description. - Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar:
A perspective on multi-agent communication for information fusion. - Alex Dytso, H. Vincent Poor:
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator. - Ziyad Elbanna, Ilya Afanasyev, Luiz Jonata Pires de Araujo, Rasheed Hussain, Mansur Khazeev, Joseph Lamptey, Manuel Mazzara, Swati Megha, Diksha Moolchandani, Dragos Strugar:
A Machine to Machine framework for the charging of Electric Autonomous Vehicles. - (Withdrawn) Quantum speedups need structure.
- Miel Sharf, Daniel Zelazo:
A Characterization of All Passivizing Input-Output Transformations of a Passive-Short System. - Letizia Moro, Hani Mehrpouyan:
Hybrid Localization: A Low Cost, Low Complexity Approach Based on Wi-Fi and Odometry. - Nathaniel Harms:
Universal Communication, Universal Graphs, and Graph Labeling. - Shuchismita Biswas, Rounak Meyur, Virgilio Centeno:
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems. - Zhong Meng, Yashesh Gaur, Jinyu Li, Yifan Gong:
Speaker Adaptation for Attention-Based End-to-End Speech Recognition. - Ali Montazeri, Alireza Sedighi Anaraki, Shahab Aref:
Optimal Technical and Economical Operation of Microgrids through the Implementation of Sequential Quadratic Programming Algorithm. - Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme:
Multi-Sentence Argument Linking. - Kurt Shuster, Da Ju, Stephen Roller, Emily Dinan, Y-Lan Boureau, Jason Weston:
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents. - J. Gomez Robles, Joaquin Vanschoren:
Learning to reinforcement learn for Neural Architecture Search. - Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay:
Code-Mixed to Monolingual Translation Framework. - Sadik Bessou, Rania Aberkane:
Subjective Sentiment Analysis for Arabic Newswire Comments. - A. R. de Queiroz, D. Mulcahy, A. Sankarasubramanian, J. P. Deane, G. (Kumar) Mahinthakumar, N. Lu, J. F. DeCarolis:
Repurposing an Energy System Optimization Model for Seasonal Power Generation Planning. - Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis, Florian Metze, Luke Zettlemoyer:
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models. - Marc Khoury:
Adaptive versus Standard Descent Methods and Robustness Against Adversarial Examples. - Yichun Yin, Chenguang Wang, Ming Zhang:
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. - Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Learning to Optimize in Swarms. - Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi, Driss Aboutajdine:
A Robust Blind 3-D Mesh Watermarking based on Wavelet Transform for Copyright Protection. - Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan:
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning. - Zhiqian Qiao, Jing Zhao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan:
Human Driver Behavior Prediction based on UrbanFlow. - Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi:
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification. - Mason A. Porter:
Nonlinearity + Networks: A 2020 Vision. - Suguman Bansal, Kedar S. Namjoshi, Yaniv Sa'ar:
Synthesis of coordination programs from linear temporal logic. - Han Gao, Jian-Xun Wang, Matthew J. Zahr:
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning. - Guoqing Zheng, Ahmed Hassan Awadallah, Susan T. Dumais:
Meta Label Correction for Learning with Weak Supervision. - Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog, Dean Paini:
Generating dynamic contact graphs with indirect links. - Samantha Sherman, Tamara G. Kolda:
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. - Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer:
Zero-shot Entity Linking with Dense Entity Retrieval. - Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova:
Conditional Response Generation Using Variational Alignment. - Gaurav Sahu, Olga Vechtomova:
Dynamic Fusion for Multimodal Data. - Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig:
Generalizing Natural Language Analysis through Span-relation Representations. - Parker Riley, Isaac Caswell, Markus Freitag, David Grangier:
Translationese as a Language in "Multilingual" NMT. - Junming Duan, Huazhong Tang:
High-order accurate entropy stable nodal discontinuous Galerkin schemes for the ideal special relativistic magnetohydrodynamics. - Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez:
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. - Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. - Amirpasha Ghabussi, Lili Mou, Olga Vechtomova:
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior. - Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu:
Distilling the Knowledge of BERT for Text Generation. - He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang:
Manifold Denoising by Nonlinear Robust Principal Component Analysis. - Guocheng Liao, Xu Chen, Jianwei Huang:
Prospect Theoretic Analysis of Privacy-Preserving Mechanism. - Haotian Chen, Sahil Wadhwa, Xi David Li, Andrej Zukov Gregoric:
YELM: End-to-End Contextualized Entity Linking. - Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, Jason Weston:
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. - Xueying Bai, Jian Guan, Hongning Wang:
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. - Maddumage Karunaratne, Christopher Gabany:
Power System Problems in Teaching Control Theory on Simulink. - Sarah Aguasvivas Manzano, Dana Hughes, Cooper R. Simpson, Radhen Patel, Nikolaus Correll:
Embedded Neural Networks for Robot Autonomy. - Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. - Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. - Zhen Dong, Zhewei Yao, Yaohui Cai, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. - Rakesh Bal, Sayan Sinha:
Modelling Bahdanau Attention using Election methods aided by Q-Learning. - Kai Nakamura, Sharon Levy, William Yang Wang:
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. - Salvatore Giorgi, Veronica E. Lynn, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. - Venkatesan Guruswami, Andrii Riazanov, Min Ye:
Arıkan meets Shannon: Polar codes with near-optimal convergence to channel capacity. - Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston:
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. - Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni:
Robust Natural Language Inference Models with Example Forgetting. - Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. - Trapit Bansal, Rishikesh Jha, Andrew McCallum:
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks. - Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. - Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi:
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. - Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Knowledge Guided Named Entity Recognition. - Ayan Chakraborty, Indranil Saha:
Synthesis of Feedback Controller for Nonlinear Control Systems with Optimal Region of Attraction. - Petra Kubernátová, Magda Friedjungová, Max J. van Duijn:
Constructing a Data Visualization Recommender System. - Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. - Khalil Mrini, Franck Dernoncourt, Trung Bui, Walter Chang, Ndapa Nakashole:
Rethinking Self-Attention: An Interpretable Self-Attentive Encoder-Decoder Parser. - Antoine Bosselut, Yejin Choi:
Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. - Dingzhu Wen, Xiaoyang Li, Qunsong Zeng, Jinke Ren, Kaibin Huang:
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning. - Dabin Zheng, Qing Zhao, Xiaoqiang Wang:
Several classes of two-weight and three-weight linear codes. - Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li:
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. - Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. - Keita Hara, Masaki Inoue, Noboru Sebe:
Learning Koopman Operator under Dissipativity Constraints. - Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. - Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with Inter-sentential Generative Pre-training. - Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Djamé Seddah, Benoît Sagot:
CamemBERT: a Tasty French Language Model. - John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. - Yaoyiran Li, Jing Jiang:
Two-Headed Monster And Crossed Co-Attention Networks. - Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke:
Understanding Multi-Head Attention in Abstractive Summarization. - Florian Sonner, Thomas Richter:
Second order pressure estimates for the Crank-Nicolson discretization of the incompressible Navier-Stokes Equations. - Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. - Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun:
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. - Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. - Sungdong Kim, Sohee Yang, Gyuwan Kim, Sang-Woo Lee:
Efficient Dialogue State Tracking by Selectively Overwriting Memory. - Lukasz Borchmann, Dawid Wisniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Lukasz Szalkiewicz, Gabriela Palka, Karol Kaczmarek, Agnieszka Kaliska, Filip Gralinski:
Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task. - Alexei Baevski, Michael Auli, Abdelrahman Mohamed:
Effectiveness of self-supervised pre-training for speech recognition. - Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang:
Can Monolingual Pretrained Models Help Cross-Lingual Classification? - Eric Michael Smith, Diana Gonzalez-Rico, Emily Dinan, Y-Lan Boureau:
Zero-Shot Fine-Grained Style Transfer: Leveraging Distributed Continuous Style Representations to Transfer To Unseen Styles. - Changsheng You, Beixiong Zheng, Rui Zhang:
Intelligent Reflecting Surface with Discrete Phase Shifts: Channel Estimation and Passive Beamforming. - (Withdrawn) Improving BERT Fine-tuning with Embedding Normalization.
- Sadik Bessou, Mohamed Louail, Allaoua Refoufi, Zehour Kadem, Mohamed Touahria:
Un systeme de lemmatisation pour les applications de TALN. - Sara Masoud, Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell Tronstad:
A Dynamic Modelling Framework for Human Hand Gesture Task Recognition. - Chao Yu, Zhiguo Su:
Symmetrical Gaussian Error Linear Units (SGELUs). - Aditya Srinivasan, Andrew D. Hilton:
Gemini: A Functional Programming Language for Hardware Description. - Jinmingwu Jiang, Kaigui Wu:
Cooperative Pathfinding based on memory-efficient Multi-agent RRT. - Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers. - Philipp Sadler, Tatjana Scheffler, David Schlangen:
Can Neural Image Captioning be Controlled via Forced Attention? - Wei Zhang, Youyuan Lin, Ruoran Ren, Xiaodong Wang, Zhenshuang Liang, Zhen Huang:
Language Model-Driven Unsupervised Neural Machine Translation. - Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter:
Using LSTMs for climate change assessment studies on droughts and floods. - Babak Hosseini, Barbara Hammer:
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. - Ammar Shaker, Eyke Hüllermeier:
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams. - Seyyed Saeed Sarfjoo, Xin Wang, Gustav Eje Henter, Jaime Lorenzo-Trueba, Shinji Takaki, Junichi Yamagishi:
Transformation of low-quality device-recorded speech to high-quality speech using improved SEGAN model. - Bai Li:
Distributed Recursive Filtering for Spatially Interconnected Systems with Randomly Occurred Missing Measurements. - Tiantong Wang, Youzuo Lin:
EarthquakeGen: Earthquake Simulation Using Generative Adversarial Networks. - Leszek Marcinkowski, Jan Valdman:
MATLAB Implementation of Element-based Solvers. - Pedro V. A. de Freitas, Paulo Renato C. Mendes, Gabriel N. P. dos Santos, Antonio José G. Busson, Álan Lívio Vasconcelos Guedes, Sérgio Colcher, Ruy Luiz Milidiú:
A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes. - Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung:
Preventing Posterior Collapse in Sequence VAEs with Pooling. - Chao Zhang, Zichao Yang, Xiaodong He, Li Deng:
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications. - Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. - Christian Ikenmeyer, Umangathan Kandasamy:
Implementing geometric complexity theory: On the separation of orbit closures via symmetries. - Asma Balamane, Zina Taklit:
Using Deep Neural Networks for Estimating Loop Unrolling Factor. - Yiling Chen, Yang Liu, Chara Podimata:
Grinding the Space: Learning to Classify Against Strategic Agents. - Vishal Anand, Ravi Shukla, Ashwani Gupta, Abhishek Kumar:
Customized video filtering on YouTube. - Yuval Dagan, Vitaly Feldman:
Interaction is necessary for distributed learning with privacy or communication constraints. - (Withdrawn) Word Sense Disambiguation using Knowledge-based Word Similarity.
- Raula Gaikovina Kula, Christoph Treude, Hideaki Hata, Sebastian Baltes, Igor Steinmacher, Marco Aurélio Gerosa, Winifred Kula Amini:
Untapped potential for software engineering in an emerging society: The case of Papua New Guinea. - Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen:
Feedback Recurrent AutoEncoder. - Ya Xiao, Qingying Hao, Danfeng Yao:
Neural Cryptanalysis: Metrics, Methodology, and Applications in CPS Ciphers. - Abdelrahman Hosny, Soheil Hashemi, Mohamed Shalan, Sherief Reda:
DRiLLS: Deep Reinforcement Learning for Logic Synthesis. - Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam:
Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter. - Swaminathan Gurumurthy, Sumit Kumar, Katia P. Sycara:
MAME : Model-Agnostic Meta-Exploration. - Daniel Leivant:
A generic imperative language for polynomial time. - Xiaowen Dong, Alfredo Jose Morales, Eaman Jahani, Esteban Moro, Bruno Lepri, Burçin Bozkaya, Carlos Sarraute, Yaneer Bar-Yam, Alex Pentland:
Segregated interactions in urban and online spaces. - Branko Ristic, Alex Skvortsov:
Intermittent Information-Driven Search for Underwater Targets. - Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Dominique Roy, Ilias S. Kotsireas, Vijay Ganesh:
A Nonexistence Certificate for Projective Planes of Order Ten with Weight 15 Codewords. - Santosh Balajee Banisetty, Scott Forer, Logan Michael Yliniemi, Monica N. Nicolescu, David Feil-Seifer:
Socially-Aware Navigation: A Non-linear Multi-Objective Optimization Approach. - Kostas E. Bekris, Rahul Shome:
Asymptotically Optimal Sampling-based Planners. - Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. - Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. - Xiang Kong, Xianyang Chen, Eduard H. Hovy:
Decompressing Knowledge Graph Representations for Link Prediction. - Samad Noeiaghdam, Denis N. Sidorov, Ildar Muftahov, Aleksei V. Zhukov:
Control of accuracy on Taylor-collocation method for load leveling problem. - Yiming Xu, Lin Chen, Zhongwei Cheng, Lixin Duan, Jiebo Luo:
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation. - Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan:
Invariant Representations through Adversarial Forgetting. - Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull:
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning. - Guoxuan Zhang:
A*SLAM: A Dual Fisheye Stereo Edge SLAM. - Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai:
Learning to Order Sub-questions for Complex Question Answering. - Rainier F. Natividad, Raye Chen-Hua Yeow:
Parallel, Modular Fabric Actuators for a 2-DOF Pneumatic Sleeve. - Hyemin Ahn, Jaehun Kim, Kihyun Kim, Songhwai Oh:
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music. - Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang:
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. - Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. - Kai Li, Yuzhe Richard Tang, Qi Zhang, Cheng Xu, Jianliang Xu:
GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication. - Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung:
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables. - Zhuoxuan Jiang, Ziming Huang, Dong Sheng Li, Xian-Ling Mao:
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning. - Zheng Guo, Michael James, David Justo, Jiaxiao Zhou, Ziteng Wang, Ranjit Jhala, Nadia Polikarpova:
Program Synthesis by Type-Guided Abstraction Refinement. - Xinghu Yao, Chao Wen, Yuhui Wang, Xiaoyang Tan:
SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. - Mehdi Rahmati, Mohammad Nadeem, Vidyasagar Sadhu, Dario Pompili:
UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles. - Magda Dettlaff, Didem Gözüpek, Joanna Raczek:
Paired Domination versus Domination and Packing Number in Graphs. - Liang Zhang, Guannan Liu, Junjie Wu:
Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation. - Asma Aloufi, Peizhao Hu:
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys. - Anis Koubaa, Adel Ammar, Bilel Benjdira, Abdullatif Al-Hadid, Belal Kawaf, Saleh Ali Al-Yahri, Abdelrahman Babiker, Koutaiba Assaf, Mohannad Ba Ras:
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning. - Abdulaziz Alzubaidi, Jugal Kalita:
Authentication of Smartphone Users Using Behavioral Biometrics. - Gang Chen, Dingcheng Li, Ran Xu:
Context-aware Active Multi-Step Reinforcement Learning. - Junjie Pan, Xiang Yin, Zhiling Zhang, Shichao Liu, Yang Zhang, Zejun Ma, Yuxuan Wang:
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis. - Nian-Ze Lee, Jie-Hong R. Jiang:
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty. - Bin Liu, Guosheng Yin, Wenbin Du:
Text classification with pixel embedding. - Siddhant Garg, Thuy Vu, Alessandro Moschitti:
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection. - Emir Konuk, Kevin Smith:
An empirical study of the relation between network architecture and complexity. - Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. - Itay Tsabary, Alexander Spiegelman, Ittay Eyal:
Just Enough Security: Reducing Proof-of-Work Ecological Footprint. - Pouria Behnoudfar, Quanling Deng, Victor M. Calo:
Split generalized-$α$ method: A linear-cost solver for a modified generalized-method for multi-dimensional second-order hyperbolic systems. - Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Fast Learning of Temporal Action Proposal via Dense Boundary Generator. - Junhui Zhang, Junjie Pan, Xiang Yin, Chen Li, Shichao Liu, Yang Zhang, Yuxuan Wang, Zejun Ma:
A hybrid text normalization system using multi-head self-attention for mandarin. - Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang:
Higher-order Weighted Graph Convolutional Networks. - Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao:
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching. - Yu Guan, Chengyuan Zheng, Zongming Guo, Xinggong Zhang, Junchen Jiang:
Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception. - Prashant Pandey, Prathosh A. P., Manu Kohli, Josh Pritchard:
Guided weak supervision for action recognition with scarce data to assess skills of children with autism. - Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song:
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. - Ya Sun, Minxian Li, Jianfeng Lu:
Part-based Multi-stream Model for Vehicle Searching. - Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang, Xiwang Yang:
Optimal Common Contract with Heterogeneous Agents. - Amardeep Mishra, Satadal Ghosh:
Optimal Tracking for Partially-Unknown Continuous Time Nonlinear Systems with Actuator Constraints using Critic-Only Integral Reinforcement Learning. - Benjamin Börschinger, Jordan L. Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu:
Meta Answering for Machine Reading. - Amardeep Mishra, Satadal Ghosh:
Variable Gain Gradient Descent-based Robust Reinforcement Learning for Optimal Tracking Control of Unknown Nonlinear System with Input-Constraints. - Michael W. Spratling:
Explaining Away Results in Accurate and Tolerant Template Matching. - Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro:
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. - Praveen Palanisamy:
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning. - Soheil Rostami, Sandra Lagén, Mário Costa, Mikko Valkama, Paolo Dini:
Wake-Up Radio based Access in 5G under Delay Constraints: Modeling and Optimization. - M. Alex O. Vasilescu, Eric Kim:
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors. - Ruize Wang, Zhongyu Wei, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang:
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. - Hans-Dieter A. Hiep, Olaf Maathuis, Jinting Bian, Frank S. de Boer, Marko C. J. D. van Eekelen, Stijn de Gouw:
Verifying OpenJDK's LinkedList using KeY. - Nieves R. Brisaboa, Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá:
GraCT: A Grammar-based Compressed Index for Trajectory Data. - Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. - Nieves R. Brisaboa, Antonio Fariña, Adrián Gómez-Brandón, Gonzalo Navarro, Tirso V. Rodeiro:
Dv2v: A Dynamic Variable-to-Variable Compressor. - László Csirmaz:
Sticky polymatroids on at most five elements. - Qinbin Li, Zeyi Wen, Bingsheng He:
Practical Federated Gradient Boosting Decision Trees. - Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. - Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He:
Privacy-Preserving Gradient Boosting Decision Trees. - Aditya Khandelwal, Suraj Sawant:
NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution. - Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Non-Cooperative Inverse Reinforcement Learning. - Adarsh Barik, Jean Honorio:
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. - Takao Murakami, Koki Hamada, Yusuke Kawamoto, Takuma Hatano:
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces. - Qiang Liu, Shu Wu, Liang Wang:
Learning Preferences and Demands in Visual Recommendation. - Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun:
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation. - Abhigyan Khaund, Daksh Thapar, Aditya Nigam:
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network. - Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne:
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. - Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir V. Arlazarov:
Recognition of Images of Korean Characters Using Embedded Networks. - Mohammed Amer, Yasser F. Al-Eryani:
Underwater Optical Communication System Relayed by $α-μ$ Fading Channel: Outage, Capacity and Asymptotic Analysis. - Jungho Ahn, Eduard Eiben, O-joung Kwon, Sang-il Oum:
A polynomial kernel for $3$-leaf power deletion. - Suvodeep Majumder, Rahul Krishna, Tim Menzies:
Learning GENERAL Principles from Hundreds of Software Projects. - Qizhe Xie, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Self-training with Noisy Student improves ImageNet classification. - Shiming Chen, Peng Zhang, Xinge You, Qinmu Peng, Xin Liu, Zehong Cao:
Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis. - Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik:
Voice Activity Detection in presence of background noise using EEG. - Vojtech Kovarík, Ryan Carey:
(When) Is Truth-telling Favored in AI Debate? - Bruno Bauwens, Marius Zimand:
Universal almost optimal compression and Slepian-Wolf coding in probabilistic polynomial time. - Igor de Oliveira Nunes, Gabriel Matos Cardoso Leite, Daniel Ratton Figueiredo:
A Contextual Hierarchical Graph Model for Generating Random Sequences of Objects with Application to Music Playlists. - Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones:
Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks. - Sathish Reddy Indurthi, Houjeung Han, Nikhil Kumar Lakumarapu, Beomseok Lee, Insoo Chung, Sangha Kim, Chanwoo Kim:
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning. - Guy Rotman, Roi Reichart:
Deep Contextualized Self-training for Low Resource Dependency Parsing. - Abdul Rafae Khan, Jia Xu:
Diversity by Phonetics and its Application in Neural Machine Translation. - Yanshi Sun, Zhiguo Ding, Xuchu Dai:
On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process. - Antonia Marcu, Adam Prügel-Bennett:
Rethinking Generalisation. - Daron Anderson, Douglas J. Leith:
Learning The Best Expert Efficiently. - Steffen Herbold:
On the costs and profit of software defect prediction. - Stefan O. Schrade, Giada Devittori, Christopher Awai Easthope, Camila Shirota, Olivier Lambercy, Roger Gassert:
Exoskeleton Knee Compliance Improves Gait Velocity and Stability in a Spinal Cord Injured User: A Case Report. - Francesco Calimeri, Wolfgang Faber, Martin Gebser, Giovambattista Ianni, Roland Kaminski, Thomas Krennwallner, Nicola Leone, Marco Maratea, Francesco Ricca, Torsten Schaub:
ASP-Core-2 Input Language Format. - Muhammad Asam, Tauseef Jamal, Aleena Ajaz, Zeeshan Haider, Shariq Aziz Butt:
Security Issues in WBANs. - Le Thi Hoai An, Ngai Van Huynh, Pham Dinh Tao:
Stochastic Difference-of-Convex Algorithms for Solving nonconvex optimization problems. - Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan, Sabrina Daffner, Wolfgang Immanuel Schöllhorn:
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Classification of Gait Using Machine Learning. - Dylan Slack, Sorelle A. Friedler, Emile Givental:
Fair Meta-Learning: Learning How to Learn Fairly. - Xue Jiang, Xiao Zhang, Dongrui Wu:
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces. - Bill Stoddart, Frank Zeyda, Steve Dunne:
Bunch theory, applications, axioms and models. - Juan Pablo Borthagaray, Ricardo H. Nochetto, Shawn W. Walker:
A structure-preserving FEM for the uniaxially constrained $\mathbf{Q}$-tensor model of nematic liquid crystals. - Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. - Pengxiang Cheng, Katrin Erk:
Attending to Entities for Better Text Understanding. - Nicole Fitzgerald:
To Populate is To Regulate. - Jun He, Quan-Jie Cao, Lei Zhang:
Conditionally Learn to Pay Attention for Sequential Visual Task. - Vladan Majerech:
Information carefull worstcase DecreaseKey heaps with simple nonMeld variant. - Jacob T. Grycel, Robert J. Walls:
DRAB-LOCUS: An Area-Efficient AES Architecture for Hardware Accelerator Co-Location on FPGAs. - Hiroki Sayama, Junichi Yamanoi:
Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity. - Zhuo Feng:
GRASS: Spectral Sparsification Leveraging Scalable Spectral Perturbation Analysis. - Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen:
RAD: On-line Anomaly Detection for Highly Unreliable Data. - Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson:
Provably Convergent Off-Policy Actor-Critic with Function Approximation. - Minz Won, Sanghyuk Chun, Xavier Serra:
Visualizing and Understanding Self-attention based Music Tagging. - Niklas T. Rindtorff, Mingyu Lu, Nisarg A. Patel, Huahua Zheng, Alexander D'Amour:
A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data. - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy. - Daria Trinitatova, Dzmitry Tsetserukou:
TouchVR: a Wearable Haptic Interface for VR Aimed at Delivering Multi-modal Stimuli at the User's Palm. - Nikos Mavrakis, Rustam Stolkin:
Estimation and Exploitation of Objects' Inertial Parameters in Robotic Grasping and Manipulation: A Survey. - Pietro Ferraro, Meghana Rathi, Giovanni Russo:
Driving Reinforcement Learning with Models. - Gerco van Heerdt, Clemens Kupke, Jurriaan Rot, Alexandra Silva:
Learning Weighted Automata over Principal Ideal Domains. - Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, align and fuse for multimodal and zero-shot image segmentation. - Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jägersand:
Visual Geometric Skill Inference by Watching Human Demonstration. - Matús Sulír, Ján Juhár:
Draw This Object: A Study of Debugging Representations. - Shuchismita Biswas, Virgilio Centeno:
A Routing and Link Scheduling Strategy for Smart Grid NAN Communications. - Manirupa Das, Juanxi Li, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, Steve Rust, Yungui Huang, Rajiv Ramnath:
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization. - Xiaoyun Wang, Xuanqing Liu, Cho-Jui Hsieh:
GraphDefense: Towards Robust Graph Convolutional Networks. - Hans Pinckaers, Bram van Ginneken, Geert Litjens:
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images. - Theodoros Pantelidis, Saeid Rasulkhani, Joseph Y. J. Chow:
A path-based many-to-many assignment game to model Mobility-as-a-Service market networks. - Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. - Shuchismita Biswas, Emanuel Bernabeu, David Picarelli:
Proactive Islanding of the Power Grid to Mitigate High-Impact Low-Frequency Events. - Emre Avan, Ufuk Celikcan, Tolga K. Capin, Hasmet Gürçay:
Enhancing User Experience in Virtual Reality with Radial Basis Function Interpolation Based Stereoscopic Camera Control. - Simon Ramstedt, Christopher J. Pal:
Real-Time Reinforcement Learning. - Gokul Krishnan, Xiaocong Du, Yu Cao:
Structural Pruning in Deep Neural Networks: A Small-World Approach. - Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. - Dongruo Zhou, Lihong Li, Quanquan Gu:
Neural Contextual Bandits with Upper Confidence Bound-Based Exploration. - Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. - Dawei Zhang, Rebecca P. Khurshid:
Variable-Scaling Rate Control for Collision-Free Teleoperation of an Unmanned Aerial Vehicle. - Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury:
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices. - Ahmed Ali Hammam, Mona M. Soliman, Aboul Ella Hassanien:
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking. - Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song:
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. - Yonglong Li, Vincent Y. F. Tan:
On the Capacity of Channels with Deletions and States. - Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu:
TENER: Adapting Transformer Encoder for Named Entity Recognition. - Xianda Xu, Marco Pedersoli:
A Computing Kernel for Network Binarization on PyTorch. - Chenwu Zhang, Hao Wu, Hancheng Lu, Jinxue Liu:
Throughput Analysis in Cache-enabled Millimeter Wave HetNets with Access and Backhaul Integration. - Cody J. Permann, Derek R. Gaston, David Andrs, Robert W. Carlsen, Fande Kong, Alexander D. Lindsay, Jason M. Miller, John W. Peterson, Andrew E. Slaughter, Roy H. Stogner, Richard C. Martineau:
MOOSE: Enabling Massively Parallel Multiphysics Simulation. - Daniel Philps, Artur S. d'Avila Garcez, Tillman Weyde:
Making Good on LSTMs Unfulfilled Promise. - Nithin Shrivatsav Srikanth, Lakshmi Nair, Sonia Chernova:
Tool Substitution with Shape and Material Reasoning Using Dual Neural Networks. - Martín Abadi, Gordon D. Plotkin:
A Simple Differentiable Programming Language. - Yiqing Hua:
Understanding BERT performance in propaganda analysis. - (Withdrawn) A New Approach: Cognitive Multi-Level Authentication (CMLA) in Nuclear Command and Control.
- Attila Varga:
Shorter Distances between Papers over Time are Due to More Cross-Field References and Increased Citation Rate to Higher Impact Papers. - Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza:
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. - Josh Tobin, OpenAI Robotics, Pieter Abbeel:
Geometry-Aware Neural Rendering. - Anirban Das, Thomas Brunschwiler:
Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices. - Raimil Cruz, Éric Tanter:
Existential Types for Relaxed Noninterference. - Sarangarajan Parthasarathy, William Gale, Xie Chen, George Polovets, Shuangyu Chang:
Long-span language modeling for speech recognition. - Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. - Utkarsh R. Patel, Piero Triverio, Sean V. Hum:
A Fast Macromodeling Approach to Efficiently Simulate Inhomogeneous Electromagnetic Surfaces. - Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox:
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. - Marvin Coto-Jiménez:
Supervised Initialization of LSTM Networks for Fundamental Frequency Detection in Noisy Speech Signals. - Michael V. Klibanov, Thuy T. Le, Loc H. Nguyen:
Convergent numerical method for a linearized travel time tomography problem with incomplete data. - Ibrahim Khoury, Danielle A. Savage, Addie Schnirel, Paul Intrevado, Yannet Interian:
ContamiNet: Detecting Contamination in Municipal Solid Waste. - Trang Ngoc Cao, Vahid Jamali, Wayan Wicke, Phee Lep Yeoh, Nikola Zlatanov, Jamie S. Evans, Robert Schober:
Chemical Reactions-based Detection Mechanism for Molecular Communications. - Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. - G. A. Kavvos, Edward Morehouse, Daniel R. Licata, Norman Danner:
Recurrence Extraction for Functional Programs through Call-by-Push-Value (Extended Version). - Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Evaluating Combinatorial Generalization in Variational Autoencoders. - Chen Tang, Jianyu Chen, Masayoshi Tomizuka:
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. - Therese Biedl, John Wittnebel:
Matchings in 1-planar graphs with large minimum degree. - Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. - Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu:
XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training. - Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process. - Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten:
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning. - Emily Goodmann, M. A. Matienzo, Shawn VanCour, William Vanden Dries:
Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage. - Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum:
Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection. - Quan Hoang Nguyen, Andre Cronje, Michael Kong:
Fast Stochastic Peer Selection in Proof-of-Stake Protocols. - Satoshi Egi:
Scheme Macros for Non-linear Pattern Matching with Backtracking for Non-free Data Types. - Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. - Qingrong Xia, Zhenghua Li, Min Zhang:
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling. - Matthew Rueben, Frank J. Bernieri, Cindy M. Grimm, William D. Smart:
Framing Effects on Privacy Concerns about a Home Telepresence Robot. - Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles:
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. - Li Ning, Yong Zhang:
LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells. - Zhuojin Li, Wumo Yan, Marco Paolieri, Leana Golubchik:
Throughput Prediction of Asynchronous SGD in TensorFlow. - Ainaz Hajimoradlou, Gioachino Roberti, David Poole:
A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model. - Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. - Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan:
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. - Shunquan Tan, Weilong Wu, Zilong Shao, Qiushi Li, Bin Li, Jiwu Huang:
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images. - Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. - Juliano Henrique Foleiss, Tiago Fernandes Tavares:
Random Projections of Mel-Spectrograms as Low-Level Features for Automatic Music Genre Classification. - Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. - Evgeny V. Tsykunov, Dzmitry Tsetserukou:
WiredSwarm: High Resolution Haptic Feedback Provided by a Swarm of Drones to the User's Fingers for VR interaction. - Yekun Chai, Naomi Saphra, Adam Lopez:
How to Evaluate Word Representations of Informal Domain? - Jingjing Bu, Lillian J. Ratliff, Mehran Mesbahi:
Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games. - Indraneel Patil, B. K. Rout, V. Kalaichelvi:
Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network. - Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue:
Uniform Partition in Population Protocol Model under Weak Fairness. - Toki Migimatsu, Jeannette Bohg:
Object-Centric Task and Motion Planning in Dynamic Environments. - Evgeny V. Tsykunov, Roman Ibrahimov, Derek Vasquez, Dzmitry Tsetserukou:
SlingDrone: Mixed Reality System for Pointing and Interaction Using a Single Drone. - Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan:
On Robustness to Adversarial Examples and Polynomial Optimization. - Nick Gravin, Zhihao Gavin Tang, Kangning Wang:
Online Stochastic Matching with Edge Arrivals. - Marcel Böhme:
MCPA: Program Analysis as Machine Learning. - Wenqiang Chen, Lizhang Zhan, Yuanlong Ci, Chen Lin:
FLEN: Leveraging Field for Scalable CTR Prediction. - Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan:
Equalization Loss for Large Vocabulary Instance Segmentation. - Armin Bazrafkan, Nikola Zlatanov:
On the Capacity of Massive MIMO With 1-Bit ADCs and DACs at the Receiver and at the Transmitter. - Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang:
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling. - Dacheng Yin, Chong Luo, Zhiwei Xiong, Wenjun Zeng:
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network. - Jieyi Long, Ribao Wei:
Scalable BFT Consensus Mechanism Through Aggregated Signature Gossip. - John Just, Sambuddha Ghosal:
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data. - Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang:
A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data. - Ali Hassani, Amir Iranmanesh, Najme Mansouri:
Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis. - Chi Wang, Qingyun Wu:
FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. - Shingo Fujimoto, Yoshiki Higashikado, Takuma Takeuchi:
ConnectionChain: Secure Interworking of Blockchains. - I. S. W. B. Prasetya:
Aplib: Tactical Programming of Intelligent Agents. - Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos:
Mirheo: High-Performance Mesoscale Simulations for Microfluidics. - Boyu Ning, Zhi Chen, Wenrong Chen, Yiming Du:
Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications. - Ziyu Zhang, Feipeng Da, Yi Yu:
Data-Free Point Cloud Network for 3D Face Recognition. - Jakob Botsch Nielsen, Bas Spitters:
Smart Contract Interactions in Coq. - Shion Honda, Shoi Shi, Hiroki R. Ueda:
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery. - Shotaro Yoshimura, Yukiko Yamauchi:
Network Creation Games with Local Information and Edge Swaps. - Y. Maghsoodi, Arafat Al-Dweik:
Exact Amplitude Distributions of Sums of Stochastic Sinusoidals and their Application in Bit Error Rate Analysis. - Itay Kavaler:
On uniform boundedness of sequential social learning. - Sayaka Kamei, Anissa Lamani, Fukuhito Ooshita, Sébastien Tixeuil, Koichi Wada:
Gathering on Rings for Myopic Asynchronous Robots with Lights. - Kévin Cousot, Mehdi Mirzapour, Waleed Ragheb:
Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier. - Tobias Geibinger, Florian Mischek, Nysret Musliu:
Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling. - Rebecca Qian, Yang Yu, Wonhee Park, Vijayaraghavan Murali, Stephen Fink, Satish Chandra:
Debugging Crashes using Continuous Contrast Set Mining. - Martijn Gösgens, Liudmila Prokhorenkova, Alexey Tikhonov:
Systematic Analysis of Cluster Similarity Indices: Towards Bias-free Cluster Validation. - David Paulus, Gerdien de Vries, Bartel A. Van de Walle:
Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making. - Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Joshua Smith, Hsiu-Chin Lin, Mustafa Suphi Erden, Michael N. Mistry:
Fractal Impedance for Passive Controllers. - Kirill A. Shatilov, Dimitris Chatzopoulos, Lik-Hang Lee, Pan Hui:
Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey. - Ruoyun Chen, Hancheng Lu, Yujiao Lu, Jinxue Liu:
MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration. - Mattis Manfred Kämmerer:
On Policy Gradients. - Qiang Ren:
Grouping Capsules Based Different Types. - Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung:
A Capsule Network-based Model for Learning Node Embeddings. - Andres Ferraro, Dmitry Bogdanov, Jay Ho Jeon, Jason Yoon, Xavier Serra:
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution. - Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jason Yoon:
Artist and style exposure bias in collaborative filtering based music recommendations. - Jonguk Kim, Jeong-Han Yun, HyoungChun Kim:
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks. - Carsten Schneider:
Minimal representations and algebraic relations for single nested products. - Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver:
Semi-supervised Wrapper Feature Selection with Imperfect Labels. - Ni Ding, Farhad Farokhi:
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. - Manolis Chiou, Nick Hawes, Rustam Stolkin:
Mixed-Initiative variable autonomy for remotely operated mobile robots. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks. - Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti:
Spatial Characterization of Holographic MIMO Channels. - Rebecca Klein, Thomas Schuster, Anne Wald:
Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data. - Hufei Zhu, Chenghao Wei:
Efficient Inverse-Free Algorithms for Extreme Learning Machine Based on the Recursive Matrix Inverse and the Inverse LDL' Factorization. - Daniela Briola, Viviana Mascardi, Massimiliano Gioseffi:
OntoScene, A Logic-based Scene Interpreter: Implementation and Application in the Rock Art Domain. - Alexandros Milolidakis, Romain Fontugne, Xenofontas A. Dimitropoulos:
Detecting Network Disruptions At Colocation Facilities. - Changmao Li:
Challenging On Car Racing Problem from OpenAI gym. - Severin Kacianka, Amjad Ibrahim, Alexander Pretschner, Alexander Trende, Andreas Lüdtke:
Extending Causal Models from Machines into Humans. 17-31 - Elsa Rizk, Roula Nassif, Ali H. Sayed:
Network Classifiers With Output Smoothing. - Bernhard Nebel:
On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs. - Hufei Zhu, Chenghao Wei:
Efficient Ridge Solution for the Incremental Broad Learning System on Added Nodes by Inverse Cholesky Factorization of a Partitioned Matrix. - Bartosz Piotrowski, Josef Urban, Chad E. Brown, Cezary Kaliszyk:
Can Neural Networks Learn Symbolic Rewriting? - Sara Pålsson, Anna-Karin Tornberg:
Spectrally accurate Ewald summation for the Yukawa potential in two dimensions. - Manvi Breja, Sanjay Kumar Jain:
A Survey on Why-Type Question Answering Systems. - Sergii V. Kadenko, Vitaliy V. Tsyganok:
Comparing Efficiency of Expert Data Aggregation Methods. - Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang:
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach. - Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Generating an Explainable ECG Beat Space With Variational Auto-Encoders. - Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou:
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. - Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? - Hampei Sasahara, Takayuki Ishizaki, Jun-ichi Imura:
Parameterization of Retrofit Controllers. - Ryan Cotterell, Arun Kumar, Hinrich Schütze:
Morphological Segmentation Inside-Out. - Shuai Wang, Yik-Chung Wu, Minghua Xia, Rui Wang, H. Vincent Poor:
Machine Intelligence at the Edge with Learning Centric Power Allocation. - George Nomikos, Vasileios Kotronis, Pavlos Sermpezis, Petros Gigis, Lefteris Manassakis, Christoph Dietzel, Stavros Konstantaras, Xenofontas A. Dimitropoulos, Vasileios Giotsas:
O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs. - Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Réyni Minimization for Continuous Features. - Weiguo Zhou, Xin Jiang, Chen Chen, Sijia Mei, Yun-Hui Liu:
HMTNet: 3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology. - Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi:
Efficient Fair Principal Component Analysis. - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. - Qiang Ma, Suwen Ge, Danyang He, Darshan Thaker, Iddo Drori:
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning. - Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson:
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. - Yujie Liu, Yue Feng, Ran Zhang:
A High order Conservative Flux Optimization Finite Element Method for Diffusion Equations. - Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. - Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib:
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection. - Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar:
Accelerating Training in Pommerman with Imitation and Reinforcement Learning. - Laurel J. Orr, Magdalena Balazinska, Dan Suciu:
EntropyDB: A Probabilistic Approach to Approximate Query Processing. - Maël Le Treust, Tristan Tomala:
Strategic Communication with Side Information at the Decoder. - Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. - Eberhard Bänsch, Sara Faghih-Naini, Pedro Morin:
Convective transport in nanofluids: the stationary problem. - Clément Cancès, Claire Chainais-Hillairet, Maxime Herda, Stella Krell:
Large time behavior of nonlinear finite volume schemes for convection-diffusion equations. - Soumyasundar Pal, Florence Regol, Mark Coates:
Bayesian Graph Convolutional Neural Networks using Node Copying. - Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum:
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning. - Babak Hosseini, Romain Montagné, Barbara Hammer:
Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. - Kürsat Tekbiyik, Ali Riza Ekti, Ali Görçin, Günes Karabulut-Kurt, Cihat Keçeci:
Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels. - Tal Daniel, Thanard Kurutach, Aviv Tamar:
Deep Variational Semi-Supervised Novelty Detection. - Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii:
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network. - Tristan Carsault, Jérôme Nika, Philippe Esling:
Using musical relationships between chord labels in automatic chord extraction tasks. - Aliakbar Panahi, Seyran Saeedi, Tomasz Arodz:
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement. - Qikui Zhu, Bo Du, Pingkun Yan:
Multi-hop Convolutions on Weighted Graphs. - Amit Kumar Verma, Biswajit Pandit:
Existence and nonexistence results of radial solutions to singular BVPs arising in epitaxial growth theory. - Alexander Zamyatin:
Recursive Filter for Space-Variant Variance Reduction. - Rohit Gupta, Laurent Besacier, Marc Dymetman, Matthias Gallé:
Character-based NMT with Transformer. - Lukas Bystricky, Sara Pålsson, Anna-Karin Tornberg:
An accurate integral equation method for Stokes flow with piecewise smooth boundaries. - Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau:
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. - Vincent Froese, Malte Renken:
Terrain Visibility Graphs and Cyclic Polytope Triangulations. - Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur:
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping. - Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu:
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials. - Beatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes:
Pose Guided Attention for Multi-label Fashion Image Classification. - Jean Barbier, Nicolas Macris:
0-1 phase transitions in sparse spiked matrix estimation. - Julien Baste, Lars Jaffke, Tomás Masarík, Geevarghese Philip, Günter Rote:
FPT Algorithms for Diverse Collections of Hitting Sets. - Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. - (Withdrawn) Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics.
- Maen Alzubi, Szilveszter Kovács:
Some Considerations and a Benchmark Related to the CNF Property of the Koczy-Hirota Fuzzy Rule Interpolation. - Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. - Fabian Reith, Brian A. Wandell:
Comparing pattern sensitivity of a convolutional neural network with an ideal observer and support vector machine. - Yuan Cao, Quanquan Gu:
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks. - Ioana Oriana Bercea, Guy Even:
Fully-Dynamic Space-Efficient Dictionaries and Filters with Constant Number of Memory Accesses. - Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler:
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. - Jean-Luc Baril, Vincent Vajnovszki:
Popularity of patterns over d-equivalence classes of words and permutations. - Yen-Chen Lin, Maria Bauzá, Phillip Isola:
Experience-Embedded Visual Foresight. - Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias:
Learning From Brains How to Regularize Machines. - Kira Maag, Matthias Rottmann, Hanno Gottschalk:
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. - Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea:
Constant Curvature Graph Convolutional Networks. - Hampei Sasahara, Takayuki Ishizaki, Jun-ichi Imura, Henrik Sandberg:
Disconnection-aware Attack Detection in Networked Control Systems. - Shipra Agrawal, Jay Sethuraman, Xingyu Zhang:
On optimal ordering in the optimal stopping problem. - Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores:
Time-Aware Prospective Modeling of Users for Online Display Advertising. - Mehrzad Nejat, Madhavan Manivannan, Miquel Pericàs, Per Stenström:
Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems. - Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Second Order Threshold Dynamics Schemes for Two Phase Motion by Mean Curvature. - Mehrzad Nejat, Madhavan Manivannan, Miquel Pericàs, Per Stenström:
Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints. - Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging. - Amit Kumar Verma, Biswajit Pandit, Carlos Escudero:
Numerical solutions for a class of singular boundary value problems arising in the theory of epitaxial growth. - Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski:
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. - Mohammed Gharib, Ali Owfi, Soudeh Ghorbani:
KPsec: Secure End-to-End Communications for Multi-Hop Wireless Networks. - (Withdrawn) Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks.
- Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen:
Incentivized Exploration for Multi-Armed Bandits under Reward Drift. - Bogdan Groza, Tudor Andreica, Adriana Berdich, Pal-Stefan Murvay, Horatiu Gurban:
PRESTvO: PRivacy Enabled Smartphone-based access To vehicle On-board units. - Álvaro García-Pérez, Maria Anna Schett:
Deconstructing Stellar Consensus (Extended Version). - Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow. - Mansi Sood, Osman Yagan:
The Strength of Connectivity of Random Graphs induced by Pairwise Key Predistribution Schemes: Implications on Security and Reliability of Heterogeneous Sensor Networks. - Arash Einolghozati, Sonal Gupta, Mrinal Mohit, Rushin Shah:
Improving Robustness of Task Oriented Dialog Systems. - Shimiao Li, Amritanshu Pandey, Soummya Kar, Larry T. Pileggi:
A Circuit-Theoretic Approach to State Estimation. - Prateek Sharma, J. C. S. Kadupitiya, Vikram Jadhao:
Modeling Constrained Preemption Dynamics Of Transient Cloud Servers. - Alvin Dey, Harsh Kumar Jain, Vikash Kumar Pandey, Tanmoy Chakraborty:
All It Takes is 20 Questions!: A Knowledge Graph Based Approach. - Jorge A. Cristancho C., Carlos A. Rivera G., Jorge E. Rodriguez M., John Jairo Pantoja Acosta, Liz K. Herrera Q., Francisco Roman:
Lightning Impulse Current Tests on Conductive Fabrics. - Jasper Eumann, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch:
A Reproducibility Study of "IP Spoofing Detection in Inter-Domain Traffic". - Ganesh Nalluru, Rahul Pandey, Hemant Purohit:
Classifying Relevant Social Media Posts During Disasters Using Ensemble of Domain-agnostic and Domain-specific Word Embeddings. - John Chen, Vatsal Shah, Anastasios Kyrillidis:
Negative sampling in semi-supervised learning. - Shuo Yang, Zhaoyuan Gu, Ruohai Ge, Aaron M. Johnson, Matthew J. Travers, Howie Choset:
Design and Implementation of a Three-Link Brachiation Robot with Optimal Control Based Trajectory Tracking Controller. - Agelos Georgakopoulos, John Haslegrave, Thomas Sauerwald, John Sylvester:
The Power of Two Choices for Random Walks. - Federico Echenique, Siddharth Prasad:
Incentive Compatible Active Learning. - Shuo Yang, Hans Kumar, Zhaoyuan Gu, Xiangyuan Zhang, Matthew J. Travers, Howie Choset:
State Estimation for Legged Robots Using Contact-Centric Leg Odometry. - (Withdrawn) Numerical and experimental realization of analytical SLAM.
- Douglas Aberdeen, Jonathan Baxter, Robert Edwards:
92c/MFlops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster. - Qiao Zhang, Cong Wang, Chunsheng Xin, Hongyi Wu:
CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations. - Benjamin Joffe, Tevon Walker, Remi Gourdon, Konrad Ahlin:
Pose estimation and bin picking for deformable products. - Wubo Li, Wei Zou, Xiangang Li:
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation. - Carl Norman:
AI in Pursuit of Happiness, Finding Only Sadness: Multi-Modal Facial Emotion Recognition Challenge. - Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu:
Expression Analysis Based on Face Regions in Read-world Conditions. - Dmitry Rodin, Nikita Orlov:
Fast Glare Detection in Document Images. - Michael Dubrovsky, Marshall Ball, Bogdan Penkovsky:
Optical Proof of Work. - Vitaliy V. Tsyganok, Sergii V. Kadenko, Oleh V. Andriichuk:
From Open Source Intelligence to Decision Making: a Hybrid Approach. - Lawrence J. Smolinsky:
Arbitrage opportunities in publication and ghost authors. - Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
Tutorial on Hybridizable Discontinuous Galerkin (HDG) Formulation for Incompressible Flow Problems. - Mohammed S. Al-Abiad, Ahmed Douik, Md. Jahangir Hossain:
Coalition Formation Game for Delay Reduction in Instantly Decodable Network Coding Assisted D2D Communications. - Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye:
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. - Junaid Ahmed Khan, Cédric Westphal, J. J. Garcia-Luna-Aceves, Yacine Ghamri-Doudane:
Reversing The Meaning of Node Connectivity for Content Placement in Networks of Caches. - Hsiao-Yu Chen, Paul G. Kry, Etienne Vouga:
Locking-free Simulation of Isometric Thin Plates. - Wilson R. Lacerda Júnior, Samir Angelo Milani Martins, Erivelton G. Nepomuceno:
Identificação de Sistemas Não Lineares Utilizando o Algoritmo Híbrido e Binário de Otimização por Enxame de Partículas e Busca Gravitacional. - Fei Ding, Feng Luo:
Clustering by Directly Disentangling Latent Space. - Aixian Zhang, Keqin Feng:
On the Constructions of MDS Self-dual Codes via Cyclotomy. - Sridhar Chellappa, Lihong Feng, Peter Benner:
Adaptive Basis Construction and Improved Error Estimation for Parametric Nonlinear Dynamical Systems. - Sara Pollock, Hunter Schwartz:
Benchmarking results for the Newton-Anderson method. - Shantanu Das, Giuseppe Antonio Di Luna, Paola Flocchini, Nicola Santoro, Giovanni Viglietta, Masafumi Yamashita:
Oblivious Permutations on the Plane. - Tuyen Tran, Aidan Hamilton, Maricela Best McKay, Benjamin Quiring, Panayot S. Vassilevski:
DNN Approximation of Nonlinear Finite Element Equations. - Sravan Babu Bodapati, Hyokun Yun, Yaser Al-Onaizan:
Robustness to Capitalization Errors in Named Entity Recognition. - Sara Hooker, Aaron C. Courville, Yann N. Dauphin, Andrea Frome:
Selective Brain Damage: Measuring the Disparate Impact of Model Pruning. - Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng:
Location-aware Upsampling for Semantic Segmentation. - Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning Motion Priors for Efficient Video Object Detection. - Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush:
A Hierarchy of Graph Neural Networks Based on Learnable Local Features. - Behnam Sabeti, Pedram Hosseini, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel:
LexiPers: An ontology based sentiment lexicon for Persian. - Dipan K. Pal, Marios Savvides:
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. - Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker:
Adversarial Examples in Modern Machine Learning: A Review. - Gaurav Menghani, Sujith Ravi:
Learning from a Teacher using Unlabeled Data. - Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim:
Collaborative Distillation for Top-N Recommendation. - Xu Wang, Jingming He, Lin Ma:
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations. - Chen Xu, Jian Wang, Tianhang Yu, Chuili Kong, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang:
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning. - Zeynep B. Cinar, Haluk O. Bingol:
Getting recommendation is not always better. - Jeffrey Dean:
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design. - Madyan Alsenwi, Kitae Kim, Choong Seon Hong:
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach). - Marco Malinverno, Giuseppe Avino, Claudio Casetti, Carla-Fabiana Chiasserini, Francesco Malandrino, Salvatore Scarpina:
MEC-based Collision Avoidance for Vehicles and Vulnerable Users. - Muhammad Shihab Rashid, Zubayet Zaman, Hasan Mahmud, Md. Kamrul Hasan:
Emotion Recognition with Forearm-based Electromyography. - Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang:
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. - Mohammed Elhenawy, Mahmoud Masoud, Sebastien Glaser, Andry Rakotonirainy:
Topological Stability: a New Algorithm for Selecting The Nearest Neighbors in Non-Linear Dimensionality Reduction Techniques. - Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. - Hanlin Mo, Hua Li:
Image Differential Invariants. - Yuan Tang:
Improving the Space-Time Efficiency of Processor-Oblivious Matrix Multiplication Algorithms. - Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. - Rohit Singh, Douglas C. Sicker:
Reliable THz Communications for Outdoor based Applications- Use Cases and Methods. - Philip A. Etter, Yuwei Fan, Lexing Ying:
Coarse-Proxy Reduced Basis Methods for Integral Equations. - Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar:
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. - Yuan Tang:
Nested Dataflow Algorithms for Dynamic Programming Recurrences with more than O(1) Dependency. - Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato:
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection. - Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. - Emmanuel Bacry, Stéphane Gaïffas, Anastasiia Kabeshova, Yiyang Yu:
ZiMM: a deep learning model for long term adverse events with non-clinical claims data. - Nora Boulaioune, Nandana Rajatheva, Matti Latva-aho:
High Reliability Downlink MU-MIMO: New OSTBC Approach and Superposition Modulated Side Information. - João Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença:
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. - Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao:
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification. - Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fair Adversarial Gradient Tree Boosting. - Sunil Mallya, J. Marc Overhage, Sravan Bodapati, Navneet Srivastava, Sahika Genc:
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability. - Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. - Ira C. Valenzuela, Lean Karlo S. Tolentino, Ronnie O. Serfa Juan:
Utilization of e-Nose Sensory Modality as Add-On Feature for Advanced Driver Assistance System. - Xinjing Cheng, Peng Wang, Chenye Guan, Ruigang Yang:
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. - Bar Hemo, Tomer Gafni, Kobi Cohen, Qing Zhao:
Searching for Anomalies over Composite Hypotheses. - Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the choice of graph neural network architectures. - Ebru Aydin Gol, Burcu Güldür Erkal, Murat Göl:
A Novel MDP Based Decision Support Framework to Restore Earthquake Damaged Distribution Systems. - August Thio-ac, Erwin John Domingo, Ricca May Reyes, Nilo Arago, Romeo Jorda Jr., Jessica Velasco:
Development of a Secure and Private Electronic Procurement System based on Blockchain Implementation. - Christine Bauer:
Allowing for equal opportunities for artists in music recommendation. - John W. Barrett, Klaus Deckelnick, Robert Nürnberg:
A finite element error analysis for axisymmetric mean curvature flow. - August Thio-ac, Alfred Keanu Serut, Rayn Louise Torrejos, Keenan Dave Rivo, Jessica Velasco:
Blockchain-based System Evaluation: The Effectiveness of Blockchain on E-Procurements. - Mian Muhammad Arsalan Asif, Mian Ilyas Ahmad, Peter Benner, Lihong Feng, Tatjana Stykel:
Implicit Higher-Order Moment Matching Technique for Model Reduction of Quadratic-bilinear Systems. - Yavuz Köroglu, Alper Sen:
Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications. - Carlos Leocadio, Tiago Oliveira, Pedro Moreira da Silva, Rui Campos, José Ruela:
A Token-Based MAC Solution for WiLD Point-To-Multipoint Links. - Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. - Susanne C. Brenner, Ellya L. Kawecki:
Adaptive C0 interior penalty methods for Hamilton-Jacobi-Bellman equations with Cordes coefficients. - Yuanyuan Tang, Yonatan Yehezkeally, Moshe Schwartz, Farzad Farnoud:
Single-Error Detection and Correction for Duplication and Substitution Channels. - Paul W. Goldberg, Alexandros Hollender, Warut Suksompong:
Contiguous Cake Cutting: Hardness Results and Approximation Algorithms. - Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort:
Self-supervised representation learning from electroencephalography signals. - Yuchi Wu, Junfeng Wu, Minyi Huang, Ling Shi:
Mean-Field Transmission Power Control in Dense Networks, Part I - Characterization of the Equilibrium Strategy. - Ales Vavpetic:
Optimal parametric interpolants of circular arcs. - (Withdrawn) Mean-Field Transmission Power Control in Dense Networks, Part II - Social Welfare Evaluation.
- Emanuele D'Osualdo, Felix Stutz:
Decidable Inductive Invariants for Verification of Cryptographic Protocols with Unbounded Sessions. - Mohamed Salah Zaïem, Etienne Bennequin:
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review. - Megumi Nakao, Mitsuhiro Nakamura, Takashi Mizowaki, Tetsuya Matsuda:
Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization. - Faen Zhang, Xinyu Fan, Hui Xu, Pengcheng Zhou, Yujian He, Junlong Liu:
Regression via Arbitrary Quantile Modeling. - Faen Zhang, Xinyu Fan, Hui Xu, Pengcheng Zhou, Yujian He, Junlong Liu:
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning. - Nikolay K. Vereshchagin:
Proofs of conservation inequalities for Levin's notion of mutual information of 1974. - Liqi Yan, Mingjian Zhu, Changbin Yu:
Crowd Video Captioning. - Rodrigo Fernandes de Mello:
On the Shattering Coefficient of Supervised Learning Algorithms. - Sharon Xu, Riccardo Di Clemente, Marta C. González:
Mining urban lifestyles: urban computing, human behavior and recommender systems. - Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. - Fei Yu, Feiyi Fan, Shouxu Jiang, Kaiping Zheng:
Attentive Geo-Social Group Recommendation. - Shanshan Tang, Bo Li, Haijun Yu:
ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units using Chebyshev Approximations. - Steffen Plunder, Bernd Simeon:
Coupled Systems of Differential-Algebraic and Kinetic Equations with Application to the Mathematical Modelling of Muscle Tissue. - Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction. - Fedor Goncharov:
A geometric based preprocessing for weighted ray transforms with applications in SPECT. - Yuwei Fan, Ruo Li, Lingchao Zheng:
A Nonlinear Hyperbolic Model for Radiative Transfer Equation in Slab Geometry. - Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani:
Asynchronous Distributed Learning from Constraints. - Albert M. Lund, Ramkiran Gouripeddi, Julio C. Facelli:
Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations. - Eivind Bøhn, Erlend M. Coates, Signe Moe, Tor Arne Johansen:
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization. - Bernhard Wally, Jirí Vyskocil, Petr Novák, Christian Huemer, Radek Sindelár, Petr Kadera, Alexandra Mazak, Manuel Wimmer:
Flexible Production Systems: Automated Generation of Operations Plans Based on ISA-95 and PDDL. - Mohamed Elhag Mohamed Abo, Ram Gopal Raj, Atika Qazi, Abubakar Zakari:
Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study. - Mohammad Amin, Farshad Safaei, N. S. Ghaderian:
Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm. - Johannes Klicpera, Stefan Weißenberger, Stephan Günnemann:
Diffusion Improves Graph Learning. - Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu, Yuri Alexeev, Christopher S. Henry, Ilya Safro:
Network Alignment by Propagating Reliable Similarities. - Ricardo J. Bessa, David Rua, Cláudia Abreu, Paulo Machado, José R. Andrade, Rui Pinto, Carla Gonçalves, Marisa Reis:
Data Economy for Prosumers in a Smart Grid Ecosystem. - James Atwood, Hansa Srinivasan, Yoni Halpern, David Sculley:
Fair treatment allocations in social networks. - Enass Hriba, Matthew C. Valenti:
The Potential Gains of Macrodiversity in mmWave Cellular Networks with Correlated Blocking. - Jun Zhao, Junshan Zhang:
Preserving privacy enables "co-existence equilibrium" of competitive diffusion in social networks. - Sirui Song, Tong Xia, Depeng Jin, Pan Hui, Yong Li:
UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data. - Abhijit Suprem, Aibek Musaev, Calton Pu:
Concept Drift Adaptive Physical Event Detection for Social Media Streams. - (Withdrawn) Correlated Feature Selection for Tweet Spam Classification using Artificial Neural Networks.
- Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel:
Temporal Graph Kernels for Classifying Dissemination Processes. - Hongtao Liu:
Going Negative Online? - A Study of Negative Advertising on Social Media. - Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino, Damien Pellier, Ronald Alford:
HDDL - A Language to Describe Hierarchical Planning Problems. - Marin Bilos, Bertrand Charpentier, Stephan Günnemann:
Uncertainty on Asynchronous Time Event Prediction. - Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, Timothy P. Lillicrap:
Compressive Transformers for Long-Range Sequence Modelling. - Marcelo Garlet Milani:
A Polynomial Kernel for Funnel Arc Deletion Set. - Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev:
Multi-domain CT metal artifacts reduction using partial convolution based inpainting. - Natale Patriciello, Sandra Lagén, Biljana Bojovic, Lorenza Giupponi:
An E2E Simulator for 5G NR Networks. - Marc Torrellas, Adrian Agustin, Josep Vidal:
On the Degrees of Freedom of the MISO Interference Broadcast Channel with Delayed CSIT. - Nikos Fotiou, Iakovos Pittaras, Vasilios A. Siris, George C. Polyzos:
Enabling Opportunistic Users in Multi-Tenant IoT Systems using Decentralized Identifiers and Permissioned Blockchains. - Icaro O. de Oliveira, Rayson Laroca, David Menotti, Keiko V. O. Fonseca, Rodrigo Minetto:
Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks. - Zhongliang Yang, Ke Wang, Sai Ma, Yongfeng Huang, Xiangui Kang, Xianfeng Zhao:
IStego100K: Large-scale Image Steganalysis Dataset. - Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. - David Wajc:
Rounding Dynamic Matchings Against an Adaptive Adversary. - Daniela Mihai, Jonathon S. Hare:
Avoiding hashing and encouraging visual semantics in referential emergent language games. - Joris Roels, Yvan Saeys:
Cost-efficient segmentation of electron microscopy images using active learning. - Gang Yang, Rao Dai, Ying-Chang Liang:
Energy-Efficient UAV Backscatter Communication with Joint Trajectory Design and Resource Optimization. - Amit Kumar Verma, Mukesh Kumar Rawani, Ravi P. Agarwal:
On a seventh order convergent weakly L-stable Newton Cotes formula with application on Burger's equation. - Lawrence H. Kim, Sean Follmer:
Interaction with Ubiquitous Robots and Autonomous IoT. - Nikos Fotiou, Vasilios A. Siris, George C. Polyzos, Mario Marchese, Franco Davoli, Luca Boero:
Exploiting Satellite Broadcast despite HTTPS. - Chen Chen, Qifeng Liao:
ANOVA Gaussian process modeling for high-dimensional stochastic computational models. - Nikolaos Tziavelis, Deepak Ajwani, Wolfgang Gatterbauer, Mirek Riedewald, Xiaofeng Yang:
Optimal Algorithms for Ranked Enumeration of Answers to Full Conjunctive Queries. - Arieh Iserles, Marcus Webb:
Fast Computation of Orthogonal Systems with a Skew-symmetric Differentiation Matrix. - Feng Huang, Zhankun Xiong, Guan Zhang, Zhouxin Yu, Xinran Xu, Wen Zhang:
Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints. - Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov:
Structured Sparsification of Gated Recurrent Neural Networks. - Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li:
Understanding the Importance of Single Directions via Representative Substitution. - S. Bajpeyi, A. Sathish Kumar:
Approximation by Exponential Type Neural Network Operators. - Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck:
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. - Rohit Singh, Douglas C. Sicker, Kazi Mohammed Saidul Huq:
MOTH- Mobility-induced Outages in THz: A Beyond 5G (B5G) application. - Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. - Rajat Talak, Eytan H. Modiano:
Age-Delay Tradeoffs in Queueing Systems. - Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. - Andrew Wen, Mohamed Y. Elwazir, Sungrim Moon, Jungwei Fan:
Adapting and evaluating a deep learning language model for clinical why-question answering. - Sicheng Zhao, Shangfei Wang, Mohammad Soleymani, Dhiraj Joshi, Qiang Ji:
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey. - Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. - Mohammadjavad Khosravi, Hamid Saeedi, Hossein Pishro-Nik:
Multi-Purpose Aerial Drones for Network Coverage and Package Delivery. - Cihan Akin, Umit Kacar, Murvet Kirci:
Twins Recognition Using Hierarchical Score Level Fusion. - Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang:
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment. - Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh:
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. - Milad Kiaee, Adam B. Kashlak, Jisu Kim, Giseon Heo:
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Classification with Persistent Homology and Convolutional Neural Networks. - Dennis Núñez Fernández, Franklin Porras-Barrientos, Macarena Vittet-Mondoñedo, Robert H. Gilman, Mirko Zimic:
Prediction of gaze direction using Convolutional Neural Networks for Autism diagnosis. - Marcos Pividori, Guillermo L. Grinblat, Lucas C. Uzal:
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images. - Monika Obrocka, Charles Copley, Themba Gqaza, Elizabeth Grant:
Prevalence of code mixing in semi-formal patient communication in low resource languages of South Africa. - Daniel Pastor, Jacob Izraelevitz, Paul Nadan, Amanda Bouman, Joel Burdick, Brett Kennedy:
Design of a Ballistically-Launched Foldable Multirotor. - Firat Tuna:
Neural Network Processing Neural Networks: An efficient way to learn higher order functions. - Latif U. Khan, Nguyen Hoang Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong:
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism. - Songbin Xu, Yang Xue, Xin Zhang, Lianwen Jin:
Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting. - Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. - Petr Plechác:
Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns. - Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Strong Self-Concordance and Sampling. - Nandita Vijaykumar:
Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions. - Xiaoming Chen, Yinhe Han, Yu Wang:
Communication Lower Bound in Convolution Accelerators. - Ali Jahanshahi:
A Brief Review on Some Architectures Providing Support for DIFT. - Teodoro Collin, Charisee Chiw, L. Ridgway Scott, John H. Reppy, Gordon L. Kindlmann:
Point Movement in a DSL for Higher-Order FEM Visualization. - Viktor Palmkvist, Elias Castegren, Philipp Haller, David Broman:
Resolvable Ambiguity. - Daniel Moghimi, Berk Sunar, Thomas Eisenbarth, Nadia Heninger:
TPM-FAIL: TPM meets Timing and Lattice Attacks. - M. Oguzhan Külekci, Yasin Öztürk, Elif Altunok, Can Yilmaz Altinigne:
Enumerative Data Compression with Non-Uniquely Decodable Codes. - Jonas Rauber, Emily B. Fox, Leon A. Gatys:
Modeling patterns of smartphone usage and their relationship to cognitive health. - Joel Friedman, David Kohler:
On the Relativized Alon Second Eigenvalue Conjecture I: Main Theorems, Examples, and Outline of Proof. - Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung:
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text. - Basem Al-Madani, Ahmad Shawahna, Mohammad Qureshi:
Anomaly Detection for Industrial Control Networks using Machine Learning with the help from the Inter-Arrival Curves. - Yingjun Pei, Xinwen Hou:
Learning Representations in Reinforcement Learning: An Information Bottleneck Approach. - Adrien Hadj-Salah, Rémi Verdier, Clément Caron, Mathieu Picard, Mikaël Capelle:
Schedule Earth Observation satellites with Deep Reinforcement Learning. - Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
A Convergent Off-Policy Temporal Difference Algorithm. - Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. - Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye:
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. - Jiaqi Ma, Qiaozhu Mei:
Graph Representation Learning via Multi-task Knowledge Distillation. - Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. - Tong Wang, Fujie Jin, Yu (Jeffrey) Hu, Yuan Cheng:
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs. - Zachary P. Neal, Jennifer Watling Neal, Rachel Domagalski:
False positives using social cognitive mapping to identify childrens' peer groups. - Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. - Joel Friedman, David Kohler:
On the Relativized Alon Eigenvalue Conjecture II: Asymptotic Expansion Theorems for Walks. - Adam Zychowski, Jacek Mandziuk:
A Generic Metaheuristic Approach to Sequential Security Games. - Joel Friedman, David Kohler:
On the Relativized Alon Second Eigenvalue Conjecture III: Asymptotic Expansions for Tangle-Free Hashimoto Traces. - Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Streaming Bayesian Inference for Crowdsourced Classification. - Timothee Mickus, Denis Paperno, Mathieu Constant:
Mark my Word: A Sequence-to-Sequence Approach to Definition Modeling. - Flavio Cirillo, Detlef Straeten, David Gómez, Jose Gato, Luis Díez, Ignacio Elicegui Maestro, Reza Akhavan:
Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration. - Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. - Flávio Keidi Miyazawa, Phablo F. S. Moura, Matheus Jun Ota, Yoshiko Wakabayashi:
Integer Programming Approaches to Balanced Connected k-Partition. - Daryl R. DeFord, Moon Duchin, Justin Solomon:
Recombination: A family of Markov chains for redistricting. - Petar Radanliev, David Charles De Roure, Kevin R. Page, Jason R. C. Nurse, Rafael Mantilla Montalvo, Omar Santos, La Treall Maddox, Peter Burnap:
The Industrial Internet of Things in the Industry 4.0 supply chains: literature review and future trends. - Erik Blasch, James Sung, Tao Nguyen, Chandra P. Daniel, Alisa P. Mason:
Artificial Intelligence Strategies for National Security and Safety Standards. - Benoît Otjacques:
Reporting on Decision-Making Algorithms and some Related Ethical Questions. - Noah Olsman, Fulvio Forni:
Antithetic integral feedback for the robust control of monostable and oscillatory biomolecular circuits. - Nicholas Schmidt, Bryce Stephens:
An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination. - Timothee Mickus, Denis Paperno, Mathieu Constant, Kees van Deemter:
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model. - Marius Fehr, Tim Taubner, Yang Liu, Roland Siegwart, Cesar Cadena:
Predicting Unobserved Space For Planning via Depth Map Augmentation. - Christoph Hellings, Patrick Gest, Thomas Wiegart, Wolfgang Utschick:
Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel. - Maede Zolanvari, Marcio Andrey Teixeira, Lav Gupta, Khaled M. Khan, Raj Jain:
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things. - Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell:
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. - Joel Friedman, David Kohler:
On the Relativized Alon Second Eigenvalue Conjecture VI: Sharp Bounds for Ramanujan Base Graphs. - Jonathan Baxter:
Learning internal representations. - Ye Guo, Cong Chen, Lang Tong:
Pricing Multi-Interval Dispatch under Uncertainty Part I: Dispatch-Following Incentives. - Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li:
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints. - Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. - Matius Chairani, Mathieu Chevalley, Abderrahmane Lazraq, Sruti Bhagavatula:
By the user, for the user: A user-centric approach to quantifying the privacy of websites. - Olgierd Unold, Agnieszka Kaczmarek, Lukasz Culer:
Iterative method of generating artificial context-free grammars. - Christopher Beattie, Zlatko Drmac, Serkan Gugercin:
Revisiting IRKA: Connections with pole placement and backward stability. - Yule Vaz, Rodrigo Fernandes de Mello, Carlos Henrique Grossi Ferreira:
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering. - Hamid Mirchi, Davod Khojasteh Salkuyeh:
A new preconditioner for elliptic PDE-constrained optimization problems. - Eric Rothstein Morris, Jun Sun, Sudipta Chattopadhyay:
Systematic Classification of Attackers via Bounded Model Checking. - Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue:
Triply Robust Off-Policy Evaluation. - Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford:
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. - Amit Kumar Verma, Narendra Kumar:
Haar wavelets collocation on a class of Emden-Fowler equation via Newton's quasilinearization and Newton-Raphson techniques. - Baichen Li, Scott R. Downen, Quan Dong, Nam Tran, Maxine LeSaux, Andrew C. Meltzer, Zhenyu Li:
A Discreet Wearable IoT Sensor for Continuous Transdermal Alcohol Monitoring - Challenges and Opportunities. - Benjamin D. Horne, Maurício Gruppi, Sibel Adali:
Trustworthy Misinformation Mitigation with Soft Information Nudging. - Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta:
All-Spin Bayesian Neural Networks. - Delyan Z. Kalchev, Thomas A. Manteuffel:
A Least-Squares Finite Element Method Based on the Helmholtz Decomposition for Hyperbolic Balance Laws. - Ercan M. Dede, Yuqing Zhou, Tsuyoshi Nomura:
Inverse design of fluid flow structure with Turing pattern. - Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. - Ronny Tredup:
The Complexity of Synthesizing nop-Equipped Boolean Nets from g-Bounded Inputs (Technical Report). - Zhenlong Wu, YangQuan Chen, Donghai Li:
Impulse Response Invariant Discretization of Complex Fractional Order Integrator. - Eckhard Pflügel:
A Root-Free Splitting-Lemma for Systems of Linear Differential Equations. - Akshay Bhosale, Rudolf Eigenmann:
Compile-time Parallelization of Subscripted Subscript Patterns. - Alireza Javani, Marwen Zorgui, Zhiying Wang:
On the Age of Information in Erasure Channels with Feedback. - Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. - Bruno Bentzen:
Naive cubical type theory. - Juan Heredia, Jonathan Tirado, Vladislav Panov, Miguel Altamirano, Kamal Youcef-Toumi, Dzmitry Tsetserukou:
RecyGlide : A Forearm-worn Multi-modal Haptic Display aimed to Improve User VR Immersion. - Shunwang Gong, Lei Chen, Michael M. Bronstein, Stefanos Zafeiriou:
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator. - Shivkumar Chandrasekaran, Ethan Epperly, Nithin Govindarajan:
Graph-Induced Rank Structures and their Representations. - Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller:
Federated and Differentially Private Learning for Electronic Health Records. - De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox:
Motion Reasoning for Goal-Based Imitation Learning. - Kedar S. Namjoshi, Lucas M. Tabajara:
Witnessing Secure Compilation. - Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction. - Ali Ghofrani, Rahil Mahdian Toroghi, Sayed Mojtaba Tabatabaie, Seyed Maziar Tabasi:
LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation. - Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. - Jennifer M. Nelson, Rogelio E. Cardona-Rivera:
Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning. - R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Image-Based Feature Representation for Insider Threat Classification. - Felix Von Drigalski, Christian Schlette, Martin Rudorfer, Nikolaus Correll, Joshua C. Triyonoputro, Weiwei Wan, Tokuo Tsuji, Tetsuyou Watanabe:
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge. - Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Deception through Half-Truths. - Jiawei Wen, Hossein Vahabi, Mihajlo Grbovic:
Revenue Maximization of Airbnb Marketplace using Search Results. - Robert I. Saye:
Fast multigrid solution of high-order accurate multi-phase Stokes problems. - Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu:
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. - Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. - Suman K. Bera, Noujan Pashanasangi, C. Seshadhri:
Linear Time Subgraph Counting, Graph Degeneracy, and the Chasm at Size Six. - Soichiro Hidaka, Yasunori Ishihara, Zachary G. Ives:
Proceedings of the Third Workshop on Software Foundations for Data Interoperability (SFDI2019+), October 28, 2019, Fukuoka, Japan. - Shiqi Gong, Shaodan Ma, Chengwen Xing, Yonghui Li, Lajos Hanzo:
Multi-Antenna Aided Secrecy Beamforming Optimization for Wirelessly Powered HetNets. - Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting:
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks. - Shiqi Gong, Chengwen Xing, Vincent K. N. Lau, Sheng Chen, Lajos Hanzo:
Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels. - Marlo Souza, Álvaro F. Moreira, Renata Vieira, John-Jules Ch. Meyer:
A Dynamic Preference Logic for reasoning about Agent Programming. - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Tractable reasoning about Agent Programming in Dynamic Preference Logic. - Mengzhuo Guo, Zhongzhi Xu, Qingpeng Zhang, Xiuwu Liao, Jiapeng Liu:
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation. - Ilias Diakonikolas, Daniel M. Kane:
Recent Advances in Algorithmic High-Dimensional Robust Statistics. - Ming Cheng, Kunjing Cai, Ming Li:
RWF-2000: An Open Large Scale Video Database for Violence Detection. - Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. - Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Optimal Server Selection for Straggler Mitigation. - Li Xiang, Chen Shuo, Xia Yan, Yang Jian:
Understanding the Disharmony between Weight Normalization Family and Weight Decay: ε-shifted L2 Regularizer. - Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu:
Programmable View Update Strategies on Relations. - Nicholas D. Kullman, Jorge E. Mendoza, Martin Cousineau, Justin C. Goodson:
Atari-fying the Vehicle Routing Problem with Stochastic Service Requests. - Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu:
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets. - Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin:
FAQ-based Question Answering via Knowledge Anchors. - Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou:
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs. - Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim:
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation. - Yoeng Jye Yeoh, Takashi Morie, Hakaru Tamukoh:
An Efficient Hardware-Oriented Dropout Algorithm. - Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai:
Progressive Feature Polishing Network for Salient Object Detection. - Tolulope A. Odetola, Katie M. Groves, Syed Rafay Hasan:
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards. - Alberto Fung, Daniel McDuff:
A Scalable Approach for Facial Action Unit Classifier Training Using Noisy Data for Pre-Training. - Marcin Waniek, Tomasz P. Michalak, Talal Rahwan:
Hiding in Multilayer Networks. - Haoyu Zhao, Wei Chen:
Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting. - Jae-Yun Kim, Junmo Lee, Yeon-Jae Koo, Sang-Hyeon Park, Soo-Mook Moon:
Ethanos: Lightweight Bootstrapping for Ethereum. - Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang:
Hierarchical Graph Pooling with Structure Learning. - Harsh Deshpande, Vishal Jain, Sharayu Moharir:
Contextual Bandits Evolving Over Finite Time. - Mohammed A. Amer, Suhail Al-Dharrab:
Performance of Two-Way Relaying over α-μ Fading Channels in Hybrid RF/FSO Wireless Networks. - Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu:
Contextual Recurrent Units for Cloze-style Reading Comprehension. - Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy, Kazoo Sone, Sugato Basu:
HUSE: Hierarchical Universal Semantic Embeddings. - Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel:
Attention on Abstract Visual Reasoning. - Manuel Fernandez, David P. Woodruff, Taisuke Yasuda:
Graph Spanners in the Message-Passing Model. - Sylvain Lefebvre:
Efficient Direct Slicing Of Dilated And Eroded 3d Models For Additive Manufacturing: Technical Report. - Suthee Ruangwises, Toshiya Itoh:
Securely Computing the n-Variable Equality Function with 2n Cards. - Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Privacy and Utility Preserving Sensor-Data Transformations. - Daiki Suehiro:
An Application of Multiple-Instance Learning to Estimate Generalization Risk. - Asbjørn Engmark Espe, Øystein Gjermundnes, Sverre Hendseth:
A Method for Rigid-Body Animation of Sparse Voxel Octrees for Use in Ray Tracing. - Shun-Po Chuang, Tzu-Wei Sung, Hung-yi Lee:
Training a code-switching language model with monolingual data. - Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji:
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. - Maximilian Toller, Roman Kern:
Robust Parameter-Free Season Length Detection in Time Series. - Hideaki Hayashi, Seiichi Uchida:
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model. - Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue:
Self-Supervised Learning For Few-Shot Image Classification. - Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap:
Semantic Granularity Metric Learning for Visual Search. - Simon Bartels, Philipp Hennig:
Conjugate Gradients for Kernel Machines. - Fernando A. Morales:
A guide through the open-box system: Room and Proctor Intelligent Decider for large scale tests programming RaPID-OMEGA. - Takayuki Osogami:
Supplementary material for Uncorrected least-squares temporal difference with lambda-return. - Seif Ben Bader, Pietro Benedusi, Alessio Quaglino, Patrick Zulian, Rolf Krause:
Space-time multilevel Monte Carlo methods and their application to cardiac electrophysiology. - Le Ma, Kaige Cui, Yiming Yan, Xiaoyue Wu, Nan Gao:
The Controller Generated from Noise Can Be Lyapunuov Stable: A Controller Stabilized Method. - George Plastiras, Christos Kyrkou, Theocharis Theocharides:
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing. - Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang:
CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation. - Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module. - George Plastiras, Christos Kyrkou, Theocharis Theocharides:
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors. - Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos, Stavros Petridis, Adrian Bulat, Jie Shen, Maja Pantic:
Towards Pose-invariant Lip-Reading. - Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni:
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator. - Andrew O. Arnold, William W. Cohen:
Instance-based Transfer Learning for Multilingual Deep Retrieval. - P. Jayashree, Ballijepalli Shreya, P. K. Srijith:
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. - Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. - Jonathan Baxter:
A Bayesian/Information Theoretic Model of Bias Learning. - Tongjiang Yan, Wenpeng Gao:
Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p. - Hodaya Barr, Tsvi Kopelowitz, Ely Porat, Liam Roditty:
{-1, 0, 1}-APSP and (min, max)-Product Problems. - Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. - Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. - Jisu Kim, Young J. Kim:
A Penetration Metric for Deforming Tetrahedra using Object Norm. - Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang:
Interactive Attention for Semantic Text Matching. - Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams. - Ningning Xie, Richard A. Eisenberg, Bruno C. d. S. Oliveira:
Kind Inference for Datatypes: Technical Supplement. - Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn:
A Massive Collection of Cross-Lingual Web-Document Pairs. - Jianmin Guo, Yue Zhao, Xueying Han, Yu Jiang, Jiaguang Sun:
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems. - Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. - Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin:
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources. - Jonathan Baxter:
Learning Model Bias. - Yuanxin Liu, Zheng Lin:
Unsupervised Pre-training for Natural Language Generation: A Literature Review. - Michael Stewart, Wei Liu, Rachel Cardell-Oliver:
Word-level Lexical Normalisation using Context-Dependent Embeddings. - Teppei Suzuki, Ikuro Sato:
Adversarial Transformations for Semi-Supervised Learning. - Itzik Malkiel, Lior Wolf:
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models. - Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu:
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines. - Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. - Li Zhou, Kevin Small:
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. - Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren:
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. - Vivian T. Chou, LeAnna Kent, Joel A. Góngora, Sam Ballerini, Carl D. Hoover:
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning. - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti:
Election Control in Social Networks via Edge Addition or Removal. - Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen:
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network. - Ronghuai Qi, Amir Khajepour, William W. Melek:
Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis. - Hugo Gilbert, Tom Portoleau, Olivier Spanjaard:
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem. - Christian Fredrik Sætre, Anton S. Shiriaev:
On (Excessive) Transverse Coordinates for Orbital Stabilization of Periodic Motions. - Xiaolei Lu, Bin Ni:
BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model. - Zhenyu Tang, Nicholas J. Bryan, Dingzeyu Li, Timothy R. Langlois, Dinesh Manocha:
Scene-Aware Audio Rendering via Deep Acoustic Analysis. - Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb:
Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction. - (Withdrawn) A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance.
- Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb:
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. - Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA. - Joshua Talbot, Przemek Pikula, Craig Sweetmore, Samuel Rowe, Hanan Hindy, Christos Tachtatzis, Robert C. Atkinson, Xavier J. A. Bellekens:
A Security Perspective on Unikernels. - David Heckerman:
Probabilistic Similarity Networks. - Guillermo Lobos, Alvaro Hancco, Valério Ramos Batista:
The Isoperimetric Problem in a Lattice of H3. - Soumi Maiti, Michael I. Mandel:
Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement. - Zixiao Ma, Zhaoyu Wang, Dongbo Zhao, Bai Cui:
High-Fidelity Large-Signal Order Reduction Approach for Composite Load Model. - Feng Chen, Yunkai Shang, Bo Xu, Jincheng Hu:
Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN. - Jie Xu, Fei Wang:
Federated Learning for Healthcare Informatics. - Federico Bertoni, Giovanna Citti, Alessandro Sarti:
LGN-CNN: a biologically inspired CNN architecture. - Fabian Eitel, Jan Philipp Albrecht, Friedemann Paul, Kerstin Ritter:
Harnessing spatial MRI normalization: patch individual filter layers for CNNs. - Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg:
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects. - Isaac A. Corley, Jonathan Lwowski, Justin Hoffman:
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers. - Chiheb Ben Hammouda, Nadhir Ben Rached, Raúl Tempone:
Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks. - Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Refining Tournament Solutions via Margin of Victory. - Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar:
Deep Reinforcement Learning for Adaptive Traffic Signal Control. - Claudia Wulff:
Exponential Runge Kutta time semidiscetizations with low regularity initial data. - Abdullah Al Farooq, Jessica Marquard, Kripa George, Thomas Moyer:
Detecting Safety and Security Faults in PLC Systems with Data Provenance. - Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan:
Sato: Contextual Semantic Type Detection in Tables. - Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang:
Gradientless Descent: High-Dimensional Zeroth-Order Optimization. - Jonathan Baxter:
The Canonical Distortion Measure for Vector Quantization and Function Approximation. - Robert A. Murphy:
Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective. - Stefan Milius, Jirí Adámek, Henning Urbat:
On the Behaviour of Coalgebras with Side Effects and Algebras with Effectful Iteration. - Dan Alistarh, Alexander Fedorov, Nikita Koval:
In Search of the Fastest Concurrent Union-Find Algorithm. - Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali:
On the Time-Based Conclusion Stability of Software Defect Prediction Models. - Jingjing Pan, Yash Goyal, Stefan Lee:
Question-Conditioned Counterfactual Image Generation for VQA. - Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Ankita Kulkarni, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama:
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization. - Andreas Fellner, Thorsten Tarrach, Georg Weissenbacher:
Language Inclusion for Finite Prime Event Structures. - Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Molecular Structure Images. - Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. - Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. - Juan Afanador:
Arguing Ecosystem Values with Paraconsistent Logics. - Francisco Revson Fernandes Pereira:
Entanglement-assisted Quantum Codes from Cyclic Codes. - Benedikt Ahrens, André Hirschowitz, Ambroise Lafont, Marco Maggesi:
Reduction Monads and Their Signatures. - Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon:
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling. - Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
The Eighth Dialog System Technology Challenge. - Vítor Albiero, Kevin W. Bowyer, Kushal Vangara, Michael C. King:
Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. - Alireza Shavali, Hamid Zarrabi-Zadeh:
New Bounds on k-Planar Crossing Numbers. - Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. - Mine Sarac, Massimiliano Solazzi, Antonio Frisoli:
Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive or Haptic Use. - Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai:
Modelling EHR timeseries by restricting feature interaction. - Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett:
Synthetic Event Time Series Health Data Generation. - Max Raphael Sobroza Marques, Tales Marra, Deok-Hee Kim-Dufor, Claude Berrou:
Sparse associative memory based on contextual code learning for disambiguating word senses. - Yusuke Kobayashi:
Weighted Triangle-free 2-matching Problem with Edge-disjoint Forbidden Triangles. - Harun Siljak, Julien de Rosny, Mathias Fink:
Reversible Hardware for Acoustic Communications. - Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. - Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. - Yuan Zhang:
Structural Controllability of Networked Relative Coupling Systems under Fixed and Switching Topologies. - Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
Graph Transformer Networks. - Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura:
Optimal Mini-Batch Size Selection for Fast Gradient Descent. - Juanyong Duan, Sim Heng Ong, Qi Zhao:
Human Annotations Improve GAN Performances. - Diksha Gupta, Jared Saia, Maxwell Young:
Resource-Competitive Sybil Defenses. - Liumeng Wang, Sheng Zhou:
Flexible Functional Split and Power Control for Energy Harvesting Cloud Radio Access Networks. - (Withdrawn) Multiple Style-Transfer in Real-Time.
- Dylan J. Foster, Alexander Rakhlin:
𝓁∞ Vector Contraction for Rademacher Complexity. - Kejiang Chen, Hang Zhou, Yuefeng Chen, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Self-supervised Adversarial Training. - Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
ASCAI: Adaptive Sampling for acquiring Compact AI. - Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow:
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records. - Himabindu Lakkaraju, Osbert Bastani:
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations. - Ya-Liang Chang, Kuan-Ying Lee, Po-Yu Wu, Hung-yi Lee, Winston H. Hsu:
Deep Long Audio Inpainting. - Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon:
Sequential Recommendation with Relation-Aware Kernelized Self-Attention. - (Withdrawn) On Model Robustness Against Adversarial Examples.
- Sohini Roy Chowdhury, Lars Tornberg, Robin Halvfordsson, Jonatan Nordh, Adam Suhren Gustafsson, Joel Wall, Mattias Westerberg, Adam Wirehed, Louis Tilloy, Zhanying Hu, Haoyuan Tan, Meng Pan, Jonas Sjöberg:
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images. - Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. - Son Doan, Elly W. Yang, Sameer Tilak, Manabu Torii:
Using natural language processing to extract health-related causality from Twitter messages. - Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng:
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction. - Shriram Srinivasan, Nishant Panda:
What is the gradient of a scalar function of a symmetric matrix ? - Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam, Marnie E. Shaw, David B. Smith, Saman K. Halgamuge:
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid. - Heather Hawkins, Rob Alexander:
Situation Coverage Testing for a Simulated Autonomous Car - an Initial Case Study. - Hokuto Hirano, Kazuhiro Takemoto:
Simple iterative method for generating targeted universal adversarial perturbations. - Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató:
Single View Distortion Correction using Semantic Guidance. - Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. - Milad Tatar Mamaghani, Yi Hong:
Improving PHY-Security of UAV-Enabled Transmission with Wireless Energy Harvesting: Robust Trajectory Design and Power Allocation. - Juan Chacon, Mo Chen, Razvan C. Fetecau:
Safe Coverage of Compact Domains For Second Order Dynamical Systems. - Sören Henning, Wilhelm Hasselbring:
Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams. - Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan:
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging. - Mohammad Karimzadeh-Farshbafan, Vahid Shah-Mansouri, Dusit Niyato:
A Dynamic Reliability-Aware Service Placement for Network Function Virtualization (NFV). - Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi:
LIBRE: Learning Interpretable Boolean Rule Ensembles. - Pierre-Alain Toupance, Laurent Lefèvre, Bastien Chopard:
Controllability of the Voter Model: an information theoretic approach. - Jacek Matulewski, Bibianna Balaj, Iga Moscichowska, Agnieszka Ignaczewska, Rafal Linowiecki, Joanna Dreszer, Wlodek Duch:
The Markup Language for Designing Gaze Controlled Applications. - Sören Schwertfeger:
Fine-grained Qualitative Spatial Reasoning about Point Positions. - Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino J. Gomez:
Safe Interactive Model-Based Learning. - Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. - Mladen Kovacevic:
Codes Correcting All Patterns of Tandem-Duplication Errors of Maximum Length 3. - Jonas Umlauft, Sandra Hirche:
Feedback Linearization based on Gaussian Processes with event-triggered Online Learning. - Evgenii Moiseenko, Anton Podkopaev, Ori Lahav, Orestis Melkonian, Viktor Vafeiadis:
Reconciling Event Structures with Modern Multiprocessors. - Eva-Maria Schomakers, Chantal Lidynia, Dirk Müllmann, Roman Matzutt, Klaus Wehrle, Indra Spiecker genannt Döhmann, Martina Ziefle:
Putting Privacy into Perspective - Comparing Technical, Legal, and Users' View of Data Sensitivity. - Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
Learning Models over Relational Data: A Brief Tutorial. - Sarah Winkler, Georg Moser:
Smarter Features, Simpler Learning? 25-31 - Richard Mörbitz, Heiko Vogler:
Weighted Parsing for Grammar-Based Language Models over Multioperator Monoids. - Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning To Characterize Adversarial Subspaces. - Stefan Marksteiner, Zhendong Ma:
Approaching the Automation of Cyber Security Testing of Connected Vehicles. - Xiaodan Li, Yuefeng Chen, Yuan He, Hui Xue:
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients. - Stefan Marksteiner, Rudolf Ramler, Hannes Sochor:
Integrating Threat Modeling and Automated Test Case Generation into Industrialized Software Security Testing. - Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday:
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems. - Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee:
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. - Julian Klose, Markus Schröder, Silke Becker, Ansgar Bernardi, Arno Ruckelshausen:
Data Preparation in Agriculture Through Automated Semantic Annotation - Basis for a Wide Range of Smart Services. - Yasar Majib, Charith Perera:
Context Aware Family Dynamics based Internet of Things Access Control Towards Better Child Safety. - Zeynep Özdemir, Mehmet Tekerek, Ahmet Serdar Yilmaz:
Design of Internet of Things Based Controller for Direct Current Motors. - Dustin Juliano:
Position Paper: Towards Transparent Machine Learning. - Junru Chen, Ran Li, Alireza Soroudi, Andrew Keane, Damian Flynn, Terence O'Donnell:
Smart transformer Modelling in Optimal Power Flow Analysis. - Joel Friedman, David Kohler:
On the Relativized Alon Second Eigenvalue Conjecture V: Proof of the Relativized Alon Conjecture for Regular Base Graphs. - Shiyu Liu, Mehul Motani:
Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks. - Hossein Sharifi, William C. Black:
Identification Algorithm to Determine the Trajectory of Robots with Singularities. - Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, Rajkumar Buyya:
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments. - Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft:
Single Image Reflection Removal through Cascaded Refinement. - Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess:
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation. - Jongho Park:
Pseudo-linear Convergence of an Additive Schwarz Method for Dual Total Variation Minimization. - Zhiyue Liu, Jiahai Wang, Zhiwei Liang:
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. - Andrew Cropper:
Forgetting to learn logic programs. - Okan Köpüklü, Xiangyu Wei, Gerhard Rigoll:
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization. - Max Hahn-Klimroth, Philipp Loick:
Optimal adaptive group testing. - Paolo Pareti, George Konstantinidis, Timothy J. Norman:
A Policy Editor for Semantic Sensor Networks. - Teodora Pandeva, Matthias Schubert:
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions. - Auguste Olivry, Julien Langou, Louis-Noël Pouchet, P. Sadayappan, Fabrice Rastello:
Automated Derivation of Parametric Data Movement Lower Bounds for Affine Programs. - Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. - Youngwan Lee, Jongyoul Park:
CenterMask : Real-Time Anchor-Free Instance Segmentation. - Zuling Chang, Martianus Frederic Ezerman, Pinhui Ke, Qiang Wang:
General Criteria for Successor Rules to Efficiently Generate Binary de Bruijn Sequences. - Shubham Kapoor, Caglar Tirkaz:
Bootstrapping NLU Models with Multi-task Learning. - A. Soroudi, B. Oconnell, J. Kelliher, J. Osullivan, B. Kelly, M. Walsh, F. Kreikebaum, Y. Meyer:
Use of Power Flow Controllers to Enhance Transmission Network Utilisation on the Irish Transmission Network. - Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas:
Generative Models for Effective ML on Private, Decentralized Datasets. - Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi:
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. - Shikhar Jain, Rohit Kaushik, Siddhant Jain, Tirtharaj Dash:
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. - Rémi Imbach, Victor Y. Pan:
New practical advances in polynomial root clustering. - Tina Raissi, Santiago Pascual, Maurizio Omologo:
Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space. - Ali Mohammed, Aurélien Cavelan, Florina M. Ciorba, Rubén M. Cabezón, Ioana Banicescu:
Two-level Dynamic Load Balancing for High Performance Scientific Applications. - Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby:
In-domain representation learning for remote sensing. - Katerine Romeo, Edwige E. Pissaloux, Frédéric Serin:
Accessibility to textual and visual information on websites for visually impaired persons. - Arman Karshenas, Kostas Margellos, Simone Garatti:
An incremental scenario approach for building energy management with uncertain occupancy. - Paul A. Trodden, Jose Maria Maestre, Hideaki Ishii:
Actuation attacks on constrained linear systems: a set-theoretic analysis. - Maria Castaldo, Costanza Catalano, Giacomo Como, Fabio Fagnani:
On a Centrality Maximization Game. - Yaroslav Alekseev, Dima Grigoriev, Edward A. Hirsch, Iddo Tzameret:
Semi-Algebraic Proofs, IPS Lower Bounds and the τ-Conjecture: Can a Natural Number be Negative? - Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi:
Penalized k-means algorithms for finding the correct number of clusters in a dataset. - Maryam Fazel-Zarandi, Sampat Biswas, Ryan Summers, Ahmed Elmalt, Andy McCraw, Michael McPhilips, John Peach:
Towards Personalized Dialog Policies for Conversational Skill Discovery. - Ali Parsa Sirat:
Loss Minimization through the Allocation of DGs Considering the Stochastic Nature of Units. - Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. - Sagar Massand, Sunil Simon:
Graphical One-Sided Markets. - Erik Burman, Rebecca Durst, Johnny Guzmán:
Stability and error analysis of a splitting method using Robin-Robin coupling applied to a fluid-structure interaction problem. - Rangeet Mitra, Paschalis C. Sofotasios, Vimal Bhatia, Sami Muhaidat:
Non-Orthogonal Multiple Access for Visible Light Communications with Ambient Light and User Mobility. - Ali Jahanshahi:
TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA. - Jamie Webster, Martyn Amos:
A Turing Test for Crowds. - Akshay R. Kulkarni, Navid Panchi, Shital S. Chiddarwar:
Stagewise Knowledge Distillation. - Mohammad Hassan Ameri, Jeremiah Blocki, Samson Zhou:
Computationally Data-Independent Memory Hard Functions. - Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Frank Neumann, Aneta Neumann, Francesco Quinzan:
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. - Santiago Badia, Jesús Bonilla, Sibusiso Mabuza, John N. Shadid:
On differentiable local bounds preserving stabilization for Euler equations. - Noga Agmon:
Thesis Deployment Optimization of IoT Devices through Attack Graph Analysis. - Ghada El-Hadad, Doaa Shawky, Ashraf H. Badawi:
Adaptive Learning Guidance System (ALGS). - Seunghak Yu, Giovanni Da San Martino, Preslav Nakov:
Experiments in Detecting Persuasion Techniques in the News. - Jean-Matthieu Gallard, Lukas Krenz, Leonhard Rannabauer, Anne Reinarz, Michael Bader:
Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. - Tyler Ard, Robert Austin Dollar, Ardalan Vahidi, Yaozhong Zhang, Dominik Karbowski:
Microsimulation of Energy and Flow Effects from Optimal Automated Driving in Mixed Traffic. - Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra:
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. - Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz:
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. - Joshua Williams, J. Zico Kolter:
Dynamic Modeling and Equilibria in Fair Decision Making. - Eyob Gebretinsae Beyene:
Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network. - Hongpeng Zhou, Chahine Ibrahim, Wei Pan:
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark. - Han-Chin Shing, Guoli Wang, Philip Resnik:
Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. - Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Self-Paced Learning for Cross-Domain Object Detection. - Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue:
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. - Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu:
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. - Alexander Panchenko, Dmitry Babaev, Sergei A. Obiedkov:
Large-Scale Parallel Matching of Social Network Profiles. - Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay, Marcos V. Conde:
Multi-attention Networks for Temporal Localization of Video-level Labels. - Lawrence Phillips, Garrett B. Goh, Nathan O. Hodas:
Explanatory Masks for Neural Network Interpretability. - Zhenyi He, Karl Rosenberg, Ken Perlin:
Exploring Configurations for Multi-user Communication in Virtual Reality. - Victor Balcer, Albert Cheu:
Separating Local & Shuffled Differential Privacy via Histograms. - Yanlin Zhou, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Andy Li, Dapeng Wu:
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. - Andrei Graur, Tristan Pollner, Vidhya Ramaswamy, S. Matthew Weinberg:
New Query Lower Bounds for Submodular Function MInimization. - Roy Abel, Idan Benami, Yoram Louzoun:
Topological based classification using graph convolutional networks. - Ravi Kashyap:
Imitation in the Imitation Game. - Christopher Hojny, Marc E. Pfetsch, Matthias Walter:
Integrality of Linearizations of Polynomials over Binary Variables using Additional Monomials. - Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan:
Delta-stepping SSSP: from Vertices and Edges to GraphBLAS Implementations. - Mingsong Jiang, Ziyi Zhou, Nicholas G. Gravish:
Flexoskeleton printing for versatile insect-inspired robots. - Marcelo Fiore, Andrew M. Pitts, S. C. Steenkamp:
Constructing Infinitary Quotient-Inductive Types. - Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-similarity Curriculum Learning. - Kuang Xu:
Query Complexity of Bayesian Private Learning. - Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth D. Forbus, Achille Fokoue:
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. - Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling Matrix Manifolds and Their Applications in Optimal Transport. - Kinga Kruppa:
Applying Rational Envelope curves for skinning purposes. - Greg Bodwin, Ofer Grossman:
Strategy-Stealing is Non-Constructive. - Bo Peng, Renqiang Min, Xia Ning:
CNN-based Dual-Chain Models for Knowledge Graph Learning. - Björn Engquist, Kui Ren, Yunan Yang:
The quadratic Wasserstein metric for inverse data matching. - Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra:
Fixed-horizon Active Hypothesis Testing. - Ilya Valmianski, Caleb Goodwin, Ian M. Finn, Naqi Khan, Daniel S. Zisook:
Evaluating robustness of language models for chief complaint extraction from patient-generated text. - Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang:
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. - Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. - Ramesh Krishnan S. Pallavoor, Sofya Raskhodnikova, Erik Waingarten:
Approximating the Distance to Monotonicity of Boolean Functions. - Tien Mai, Kennard Chan, Patrick Jaillet:
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. - Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet:
Inverse Reinforcement Learning with Missing Data. - Hanyue Li, Ju Hee Yeo, Ashly L. Bornsheuer, Thomas J. Overbye:
The Creation and Validation of Load Time Series for Synthetic Electric Power Systems. - Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare. - Yu Yu, Jean-Marc Odobez:
Unsupervised Representation Learning for Gaze Estimation. - Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Ke Alexander Wang, Xinran Bian, Pan Liu, Donghui Yan:
DC2: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering. - Palak Bhushan, Claire J. Tomlin:
Design of the First Insect-scale Spinning-wing Robot. - Mantong Zhou, Minlie Huang, Xiaoyan Zhu:
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization. - Hanpeng Hu, Dan Wang, Chuan Wu:
Distributed Machine Learning through Heterogeneous Edge Systems. - Zaoxing Liu, Samson Zhou, Ori Rottenstreich, Vladimir Braverman, Jennifer Rexford:
Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms. - Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. - Kanika Narang, Chaoqi Yang, Adit Krishnan, Junting Wang, Hari Sundaram, Carolyn Sutter:
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms. - Frank Ban, David P. Woodruff, Qiuyi (Richard) Zhang:
Regularized Weighted Low Rank Approximation. - Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. - Yayun Fu, Wenjun Cai, Yushun Wang:
A linearly implicit structure-preserving scheme for the fractional sine-Gordon equation based on the IEQ approach. - Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed:
Towards Automated Sexual Violence Report Tracking. - Komal K. Teru, William L. Hamilton:
Inductive Relation Prediction on Knowledge Graphs. - Jiaman Wu, Zhiqi Wang, Yang Yu, Chenye Wu:
Optimal Storage Control for Dynamic Pricing. - Mina Lee, Tatsunori B. Hashimoto, Percy Liang:
Learning Autocomplete Systems as a Communication Game. - Hubert Jegierski, Stanislaw Saganowski:
An "outside the box" solution for imbalanced data classification. - Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-shot Adversarial Learning. - Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. - Riashat Islam, Komal K. Teru, Deepak Sharma:
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift. - Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. - Vladimir N. Potapov:
On q-ary Bent and Plateaued Functions. - Andrey Filippov, Oleg Dzhimiev:
Long Range 3D with Quadocular Thermal (LWIR) Camera. - Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-to-Vehicle Advice for Self-driving Vehicles. - Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
IDEALEM: Statistical Similarity Based Data Reduction. - Hilmi E. Egilmez, Oguzhan Teke, Amir Said, Vadim Seregin, Marta Karczewicz:
Parametric Graph-based Separable Transforms for Video Coding. - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. - Maksim Belyaev, A. A. Velichko:
Capacitorless Model of a VO2 Oscillator. - Hideo Bannai, Juha Kärkkäinen, Dominik Köppl, Marcin Piatkowski:
Constructing the Bijective BWT. - Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. - Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. - Hongwei Dong, Siyu Zhang, Bin Zou, Lamei Zhang:
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification. - Geesara Kulathunga, Roman Fedorenko, Alexandr Klimchik:
Ground and Non-Ground Separation Filter for UAV Lidar Point Cloud. - Sneha Kamath, Jithin Ravi, Bikash Kumar Dey:
Demand-Private Coded Caching and the Exact Trade-off for N=K=2. - Berry Weinstein, Shai Fine, Yacov Hel-Or:
Selective sampling for accelerating training of deep neural networks. - Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung:
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. - Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng:
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World. - Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi:
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. - Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin:
Understanding and Improving Layer Normalization. - Pengyu Gao, Siyu Xia, Joseph P. Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu:
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer. - Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra:
Suspicion-Free Adversarial Attacks on Clustering Algorithms. - Jindan Xu, Wei Xu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
Secure Communication for Spatially Sparse Millimeter-Wave Massive MIMO Channels via Hybrid Precoding. - Andreas Galanis, Leslie Ann Goldberg, Heng Guo, Kuan Yang:
Counting solutions to random CNF formulas. - Min Jin Chong, David A. Forsyth:
Effectively Unbiased FID and Inception Score and where to find them. - Sören Bartels, Philipp Reiter:
Numerical solution of a bending-torsion model for elastic rods. - Tian Xu, Ziniu Li, Yang Yu:
On Value Discrepancy of Imitation Learning. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
On the Age of Information in Multi-Source Queueing Models. - Sadik Bessou:
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique. - Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun:
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. - Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. - Marcel Gehrke, Ralf Möller, Tanya Braun:
Taming Reasoning in Temporal Probabilistic Relational Models. - Manoj Sukhavasi, Sainath Adapa:
Music theme recognition using CNN and self-attention. - Robert B. Grupp, Mathias Unberath, Cong Gao, Rachel Hegeman, Ryan J. Murphy, Clayton P. Alexander, Yoshito Otake, Benjamin A. McArthur, Mehran Armand, Russell H. Taylor:
Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration. - Qitong Wang, Yi Zheng, Margrit Betke:
SA-Text: Simple but Accurate Detector for Text of Arbitrary Shapes. - Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu:
Fair Division of Mixed Divisible and Indivisible Goods. - Kamran Ali, Charles E. Hughes:
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network. - Yajing Li, Yejuan Wang, Weihua Deng:
Galerkin finite element approximation for semilinear stochastic time-tempered fractional wave equations with multiplicative white noise and fractional Gaussian noise. - Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shutao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. - Pattarawat Chormai, Ponrawee Prasertsom, Attapol Rutherford:
AttaCut: A Fast and Accurate Neural Thai Word Segmenter. - Shuo Liu, Gil Keren, Björn W. Schuller:
N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System. - Jennifer A. Loe, Ronald B. Morgan:
New Polynomial Preconditioned GMRES. - Owain Evans:
Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art. - Xuefei Cao, Bor-Chun Chen, Ser-Nam Lim:
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss. - Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Yi Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill:
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare. - Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Signed Input Regularization. - Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund, Tuomas Virtanen:
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation. - Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang:
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data. - Farzaneh Khoshnevisan, Zhewen Fan:
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series. - He Wang, Feixiang He, Zhexi Peng, Yongliang Yang, Tianjia Shao, Kun Zhou, David Hogg:
SMART: Skeletal Motion Action Recognition aTtack. - Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu:
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance. - Xingyi Liu, Keshab K. Parhi:
Training DNA Perceptrons via Fractional Coding. - Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir:
Particle Swarm and EDAs. - Jorge L. Suzuki, Yongtao Zhou, Marta D'Elia, Mohsen Zayernouri:
A Thermodynamically Consistent Fractional Visco-Elasto-Plastic Model with Memory-Dependent Damage for Anomalous Materials. - Alison Jenkins, Vinika Gupta, Mary Lenoir:
General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks. - Min Du, Ruoxi Jia, Dawn Song:
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy. - Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. - Matt Groff:
Faster Integer Multiplication Using Preprocessing. - Fabian V. Filipp:
Opportunities for artificial intelligence in advancing precision medicine. - Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song:
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. - Yongqi Zhang, Quanming Yao, Lei Chen:
Neural Recurrent Structure Search for Knowledge Graph Embedding. - David Harel, Assaf Marron, Joseph Sifakis:
Autonomics: In Search of a Foundation for Next Generation Autonomous Systems. - Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. - Robert M. Oliveira, Rodrigo C. de Lamare:
Study of Non-Uniform Channel Polarization and Design of Polar Codes with Arbitrary Rates. - Zhichao Huang, Tong Zhang:
Black-Box Adversarial Attack with Transferable Model-based Embedding. - Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew J. Hausknecht:
Working Memory Graphs. - Qingchao Zhang, Yunmei Chen:
Extra Proximal-Gradient Inspired Non-local Network. - Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. - Siddharth Dawar, Vikram Goyal, Debajyoti Bera:
A one-phase tree-based algorithm for mining high-utility itemsets from a transaction database. - Kezhou Yang, Abhronil Sengupta:
Stochastic Magnetoelectric Neuron for Temporal Information Encoding. - Yasamin Nazari:
Sparse Hopsets in Congested Clique. - Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. - Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen:
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. - Guofeng Cui, Ziyi Kou, Shaojie Wang, Wentian Zhao, Chenliang Xu:
Weakly Supervised Object Localization with Inter-Intra Regulated CAMs. - David Kempe:
An Analysis Framework for Metric Voting based on LP Duality. - Yilang Zhang, Zheng Wei, Jian Wang, Xin Yuan:
Dense Color Constancy with Effective Edge Augmentation. - Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. - Jing-Rebecca Li, Try Nguyen Tran, Van-Dang Nguyen:
Practical computation of the diffusion MRI signal of realistic neurons based on Laplace eigenfunctions. - Hua Chen, Patrick M. Wensing, Wei Zhang:
Optimal Control of a Differentially Flat 2D Spring-Loaded Inverted Pendulum Model. - Ruoyu Guo, Cheng Cui, Yuning Du, Xianglong Meng, Xiaodi Wang, Jingwei Liu, Jianfeng Zhu, Yuan Feng, Shumin Han:
2nd Place Solution in Google AI Open Images Object Detection Track 2019. - Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. - Yiyao Shi, Jian Wang, Xiangyang Xue:
Fast Color Constancy with Patch-wise Bright Pixels. - Shibo Zhang, Yuqi Zhao, Dzung Tri Nguyen, Runsheng Xu, Sougata Sen, Josiah D. Hester, Nabil Alshurafa:
NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions. - Fanqin Meng, Xiaojing Shen, Zhiguo Wang, Haiqi Liu, Junfeng Wang, Yunmin Zhu, Pramod K. Varshney:
Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements. - Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. - Qianwei Zhou, Chen Zhou, Haigen Hu, Yuhang Chen, Shengyong Chen, Xiaoxin Li:
Towards the Automation of Deep Image Prior. - Behnam Khaleghi, Sahand Salamat, Mohsen Imani, Tajana Rosing:
FPGA Energy Efficiency by Leveraging Thermal Margin. - Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
Loss Aware Post-training Quantization. - Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert:
Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach. - Qin Zou, Zheng Zhang, Ling Cao, Long Chen, Song Wang:
Transductive Zero-Shot Hashing for Multi-Label Image Retrieval. - Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alexander M. Bronstein, Avi Mendelson:
Smoothed Inference for Adversarially-Trained Models. - Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu:
Rumor Detection on Social Media: Datasets, Methods and Opportunities. - Manish Agnihotri, Aditya Rathod, Aditya Jajodia, Chethan Sharma:
Common Artist Music Assistance. - Aman Apte, Aritra Bandyopadhyay, K. Akhilesh Shenoy, Jason Peter Andrews, Aditya Rathod, Manish Agnihotri, Aditya Jajodia:
Countering Inconsistent Labelling by Google's Vision API for Rotated Images. - Zhuo Yang, Yufei Han, Guoxian Yu, Xiangliang Zhang:
Prototypical Networks for Multi-Label Learning. - Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
VCG Under Sybil (False-name) Attacks - a Bayesian Analysis. - Lucky Galvez, Jon-Lark Kim:
Projection decoding of some binary optimal linear codes of lengths 36 and 40. - Haiyang Si, Zhiqiang Zhang, Feifan Lv, Gang Yu, Feng Lu:
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network. - Phu X. V. Nguyen, Tham T. T. Hong, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus. - Sujoy Paul, Jeroen van Baar, Amit K. Roy-Chowdhury:
Learning from Trajectories via Subgoal Discovery. - Alexandr Savinov:
Concept-oriented model: Modeling and processing data using functions. - Binh An Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models. - Ana Ozaki, Cosimo Persia, Andrea Mazzullo:
Learning Query Inseparable ELH Ontologies. - (Withdrawn) 5/4-Approximation of Minimum 2-Edge-Connected Spanning Subgraph.
- Ali Çivril:
Approximation of Steiner Forest via the Bidirected Cut Relaxation. - Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen:
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. - Krisztián Búza:
Encouraging an Appropriate Representation Simplifies Training of Neural Networks. - Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim:
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks. - Peter L. Bartlett, Jonathan Baxter:
Hebbian Synaptic Modifications in Spiking Neurons that Learn. - Martin Gauch, Juliane Mai, Jimmy Lin:
The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction. - Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. - Suping Zhou, Jia Jia, Yufeng Yin, Xiang Li, Yang Yao, Ying Zhang, Zeyang Ye, Kehua Lei, Yan Huang, Jialie Shen:
Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling. - Amit Boyarski, Sanketh Vedula, Alex M. Bronstein:
Deep geometric matrix completion: Are we doing it right? - Nurettin Turan, Wolfgang Utschick:
Learning The MMSE Channel Predictor. - Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Learning with Hierarchical Complement Objective. - Bérenger Bramas, Muhammad Hassan, Benjamin Stamm:
An Integral Equation Formulation of the N-body Dielectric Spheres Problem. Part II: Complexity Analysis. - Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman P. Amarasinghe, Julian Shun:
PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms. - Renjiao Yi, Ping Tan, Stephen Lin:
Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation. - Farhad Mehdifar, Charalampos P. Bechlioulis, Farzad Hashemzadeh, Mahdi Baradarannia:
Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version). - Mohammed Brahimi, Yvain Quéau, Bjoern Haefner, Daniel Cremers:
On the well-posedness of uncalibrated photometric stereo under general lighting. - Zhibo Wang, Shen Yan, Xiaoyu Zhang, Niels da Vitoria Lobo:
Unsupervised Visual Representation Learning with Increasing Object Shape Bias. - Zhigang Chang, Qin Zhou, Mingyang Yu, Shibao Zheng, Hua Yang, Tai-Pang Wu:
Distribution Context Aware Loss for Person Re-identification. - Nail Akar, Ozancan Dogan, Eray Unsal Atay:
Finding the Exact Distribution of (Peak) Age of Information for Queues of PH/PH/1/1 and M/PH/1/2 Type. - Alessio Rosatelli, Ekin Gedik, Hayley Hung:
Detecting F-formations & Roles in Crowded Social Scenes with Wearables: Combining Proxemics & Dynamics using LSTMs. - Maya Bechler-Speicher:
A Crossing Lemma for Families of Jordan Curves with a Bounded Intersection Number. - Akshay Raman, Kimberly Chou, Spyridon Mastorakis:
Experimenting with a Simulation Framework for Peer-to-Peer File Sharing in Named Data Networking. - Werner Damm, Martin Fränzle, Willem Hagemann, Paul Kröger, Astrid Rakow:
Dynamic Conflict Resolution Using Justification Based Reasoning. 47-65 - Hufei Zhu, Chenghao Wei:
Efficient Ridge Solutions for the Incremental Broad Learning System on Added Inputs by Updating the Inverse or the Inverse Cholesky Factor of the Hermitian matrix in the Ridge Inverse. - Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. - Sadjad Sedighi, Ender Ayanoglu:
Bit-Interleaved Coded Multiple Beamforming in Millimeter-Wave Massive MIMO Systems. - Muhammad Samir Khan, Lewis Tseng, Nitin H. Vaidya:
Exact Byzantine Consensus on Arbitrary Directed Graphs under Local Broadcast Model. - Zheng Chen, Emil Björnson, Erik G. Larsson:
Dynamic Resource Allocation in Co-Located and Cell-Free Massive MIMO. - Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Haploid-Diploid Evolution: Nature's Memetic Algorithm. - Justin A. Sirignano, Konstantinos Spiliopoulos:
Asymptotics of Reinforcement Learning with Neural Networks. - Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. - Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi:
Coverage Testing of Deep Learning Models using Dataset Characterization. - Behnam Akbari, Farhad Pourtahmasbi, Hossein Mokhtari:
An Analytical Strategy for Passive Harmonic Filter Placement in Transmission Systems with Stochastic Aggregate Load Models Considering Resonant Conditions. - Özlem Tugfe Demir, Emil Björnson:
Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning. - Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini, Nayanika Dogra:
Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels. - Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi:
Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans. - Giuseppe Carlo Calafiore, Giulia Fracastoro:
Sparse 𝓁1 and 𝓁2 Center Classifiers. - Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. - Maryam Aliakbarpour, Sandeep Silwal:
Testing Properties of Multiple Distributions with Few Samples. - Christine Bauer:
The Potential of the Confluence of Theoretical and Algorithmic Modeling in Music Recommendation. - Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum:
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. - Sina Masnadi, Joseph J. LaViola Jr., Jana Pavlasek, Xiaofan Zhu, Karthik Desingh, Odest Chadwicke Jenkins:
A Sketch-Based System for Human-Guided Constrained Object Manipulation. - Harald Hanselmann, Hermann Ney:
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding. - Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. - Abhinav Jain, Frank Dellaert:
Fast 3D Pose Refinement with RGB Images. - Abhinav Jain, Seth Hutchinson, Frank Dellaert:
Robotic Sculpting with Collision-free Motion Planning in Voxel Space. - Mengmi Zhang, Claire Tseng, Gabriel Kreiman:
Putting visual object recognition in context. - Bishakh Chandra Ghosh, Sourav Kanti Addya, Nishant Baranwal Somy, Shubha Brata Nath, Sandip Chakraborty, Soumya K. Ghosh:
Caching Techniques to Improve Latency in Serverless Architectures. - Domagoj Bradac, Anupam Gupta, Sahil Singla, Goran Zuzic:
Robust Algorithms for the Secretary Problem. - Xuemei Chen, Yang Chu, Min Zheng:
Identify Equivalent Frames. - Clément L. Canonne, Xi Chen, Gautam Kamath, Amit Levi, Erik Waingarten:
Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning. - Joseph Lorenzetti, Marco Pavone:
A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme. - Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Rebalancing Learning on Evolving Data Streams. - Yunhan Huang:
Optimal Demand Response and Supply Schedule Under Market-Driven Price: A Stackelberg Dynamic Game Approach. - Guy Blanc, Jane Lange, Li-Yang Tan:
Top-down induction of decision trees: rigorous guarantees and inherent limitations. - Parikshit Gopalan, Roie Levin, Udi Wieder:
Finding Skewed Subcubes Under a Distribution. - Yayun Fu, Wenjun Cai, Yushun Wang:
A structure-preserving algorithm for the fractional nonlinear Schrödinger equation based on the SAV approach. - Elif Sürer, Mustafa Erkayaoglu, Zeynep Nur Öztürk, Furkan Yücel, Emin Alp Biyik, Burak Altan, Büsra Senderin, Zeliha Oguz, Servet Gürer, H. Sebnem Düzgün:
Developing a Scenario-Based Video Game Generation Framework: Preliminary Results. - Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu:
Learning Similarity Attention. - Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu:
Towards Robust RGB-D Human Mesh Recovery. - Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz:
Distributed Low Precision Training Without Mixed Precision. - WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps:
Towards Visually Explaining Variational Autoencoders. - Nurali Virani, Naresh Iyer, Zhaoyuan Yang:
Justification-Based Reliability in Machine Learning. - Baishakhi Ray, Prem Devanbu, Vladimir Filkov:
Rebuttal to Berger et al., TOPLAS 2019. - Suda Bharadwaj, Louis Ly, Bo Wu, Richard Tsai, Ufuk Topcu:
Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization. - Xijie Huang, Moustafa Alzantot, Mani B. Srivastava:
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations. - Zhenxing Mi, Yiming Luo, Wenbing Tao:
TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution. - Qiang Huang, Jianhui Bu, Weijian Xie, Shengwen Yang, Weijia Wu, Liping Liu:
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems. - Aleksey Fedoseev, Nikita Chernyadev, Dzmitry Tsetserukou:
Development of MirrorShape: High Fidelity Large-Scale Shape Rendering Framework for Virtual Reality. - Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus:
Provable Filter Pruning for Efficient Neural Networks. - Shan Su, Cheng Peng, Jianbo Shi, Chiho Choi:
Potential Field: Interpretable and Unified Representation for Trajectory Prediction. - Michael Whitmeyer, Jonathan Liu:
Algorithmic Discrepancy Minimization. - Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu:
Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity. - Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang:
A Graph Autoencoder Approach to Causal Structure Learning. - Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. - Xiaoqian Li, Jie Liu, Shuwu Zhang, Guixuan Zhang:
Learning to Predict More Accurate Text Instances for Scene Text Detection. - Cheol-Hwan Yoo, Seung-Wook Kim, Seo-Won Ji, Yong-Goo Shin, Sung-Jea Ko:
Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation. - Kai Hu, Barnabás Póczos:
RotationOut as a Regularization Method for Neural Network. - Arman Arian, Özgür Yilmaz:
RIP constants for deterministic compressed sensing matrices-beyond Gershgorin. - Yahui Liu, Furao Shen, Jian Zhao:
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation. - Jiawei Hou, Haofei Kuang, Sören Schwertfeger:
Fast 2D Map Matching Based on Area Graphs. - Muhammet Bastan, Hao-Yu Wu, Tian Cao, Bhargava Kota, Mehmet Tek:
Large Scale Open-Set Deep Logo Detection. - (Withdrawn) Sizing and Allocation of Distributed Energy Resources for Loss Reduction using Heuristic Algorithms.
- Yujing Wang, Qinyang Bao:
A Code Injection Method for Rapid Docker Image Building. - Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen:
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. - Bing Wang, Klaus Mueller:
Subspace Shapes: Enhancing High-Dimensional Subspace Structures via Ambient Occlusion Shading. - Suzuna Shibasaki, Masaki Inoue, Mitsuru Arahata, Vijay Gupta:
Weak Control Approach to Consumer-Preferred Energy Management. - Junfeng Li, Sameer G. Kulkarni, K. K. Ramakrishnan, Dan Li:
Understanding Open Source Serverless Platforms: Design Considerations and Performance. - Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. - Zhi Tian, Hao Chen, Chunhua Shen:
DirectPose: Direct End-to-End Multi-Person Pose Estimation. - Chih-Wei Huang, Po-Chen Chen:
Mobile Traffic Offloading with Forecasting using Deep Reinforcement Learning. - Jingshi Cui, Haoxiang Wang, Chenye Wu, Yang Yu:
Vulnerability Analysis for Data Driven Pricing Schemes. - Aleksandar Haber:
Steady-State Control and Machine Learning of Large-Scale Deformable Mirror Models. - Ilja Manakov, Markus Rohm, Volker Tresp:
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck. - Jun Guo, Philipp Walk, Hamid Jafarkhani:
Optimal deployments of UAVs with directional antennas for a power-efficient coverage. - Yu Nakahata, Jun Kawahara, Takashi Horiyama, Shin-ichi Minato:
Implicit Enumeration of Topological-Minor-Embeddings and Its Application to Planar Subgraph Enumeration. - Hua Lan, Jirong Ma, Zengfu Wang, Quan Pan, Xiong Xu:
A Message Passing Approach for Multiple Maneuvering Target Tracking. - Marc Hellmuth, Carsten R. Seemann, Peter F. Stadler:
Generalized Fitch Relations II: Sets of Binary Relations that are explained by Edge-labeled Trees. - Deng Cai, Wai Lam:
Graph Transformer for Graph-to-Sequence Learning. - Tiancheng Wen, Shenqi Lai, Xueming Qian:
Preparing Lessons: Improve Knowledge Distillation with Better Supervision. - Wu Shi, Tak-Wai Hui, Ziwei Liu, Dahua Lin, Chen Change Loy:
Learning to Synthesize Fashion Textures. - Devin Pelser, Hugh Murrell:
Deep and Dense Sarcasm Detection. - Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee:
Fine-Grained Neural Architecture Search. - Fengzhuo Zhang, Kai Gu, Yuan Shen:
Cooperative Vision-based Localization Networks with Communication Constraints. - Tonci Novkovic, Rémi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan I. Nieto:
Object Finding in Cluttered Scenes Using Interactive Perception. - Carlos Galindo, Fernando Hernando, Carlos Munuera:
Locally recoverable J-affine variety codes. - Mikhail Fomichev, Max Maass, Matthias Hollick:
Zero-Interaction Security - Towards Sound Experimental Validation. - Biswarup Biswas, Harish Kumar:
Entropy stable discontinuous Galerkin approximation for the Relativistic Hydrodynamic Equations. - Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan:
Towards Making Deep Transfer Learning Never Hurt. - Arman Arian, Özgür Yilmaz:
Deterministic partial binary circulant compressed sensing matrices. - Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. - Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Throughput Maximization with an Average Age of Information Constraint in Fading Channels. - Joakim Björk, Karl Henrik Johansson:
Control Limitations due to Zero Dynamics in a Single-Machine Infinite Bus Network. - Jairo Inga, Esther Bischoff, Florian Köpf, Michael Flad, Sören Hohmann:
Inverse Cooperative and Non-Cooperative Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning. - Sang Won Bae:
Minimum-Width Double-Strip and Parallelogram Annulus. - Mohammadreza Kasaei, Nuno Lau, Artur Pereira:
A Hierarchical Framework to Generate Robust Biped Locomotion Based on Divergent Component of Motion. - Clément Elvira, Cédric Herzet:
Safe squeezing for antisparse coding. - Marwa Ben Jabra, Adel Ammar, Anis Koubaa, Omar Cheikhrouhou, Habib Hamam:
AI-based Pilgrim Detection using Convolutional Neural Networks. - Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti:
Degrees of Freedom of Holographic MIMO Channels. - Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang:
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features. - Ramtine Tofighi-Shirazi, Irina Mariuca Asavoae, Philippe Elbaz-Vincent:
Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning. - Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang:
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation. - Arman Arian, Özgür Yilmaz:
On one-stage recovery for ΣΔ-quantized compressed sensing. - Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. - Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua:
Ladder Loss for Coherent Visual-Semantic Embedding. - Steffen Börm, Sven Christophersen, Ronald Kriemann:
Semi-Automatic Task Graph Construction for H-Matrix Arithmetic. - Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park:
Graph Neural Ordinary Differential Equations. - Nicola Scianca, Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Periodic Repetitive Tasks. - Fedor V. Fomin, Torstein J. F. Strømme:
Time-inconsistent Planning: Simple Motivation Is Hard to Find. - (Withdrawn) Fast Machine Learning with Byzantine Workers and Servers.
- Debayan Deb, Divyansh Aggarwal, Anil K. Jain:
Finding Missing Children: Aging Deep Face Features. - Xia Li, Qin Yue:
On the Hamming distances of repeated-root cyclic codes of length 5ps. - Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa:
Multi-Task Learning of Height and Semantics from Aerial Images. - William Casbolt, Bryn Jones, Iñaki Esnaola:
Optimal Control over Multiple Input Lossy Channels. - Bernardt Duvenhage:
Short Text Language Identification for Under Resourced Languages. - Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia:
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. - Ronivon Silva Dias, Pedro de A. Santos Neto, Irvayne Matheus de Sousa Ibiapina, Guilherme Amaral Avelino, Otávio Cury da Costa Castro:
Effects of Visualizing Technical Debts on a Software Maintenance Project. - Alex Groce, Josselin Feist, Gustavo Grieco, Michael Colburn:
What are the Actual Flaws in Important Smart Contracts (and How Can We Find Them)? - Arash Shahmansoori:
Sparse Bayesian Multi-Task Learning of Time-Varying Massive MIMO Channels with Dynamic Filtering. - Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy:
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. - Wen-Yen Chang, Wen-Huan Chiang, Shao-Hao Lu, Tingfan Wu, Min Sun:
Bias-Aware Heapified Policy for Active Learning. - Julius O. Smith III:
A Spatial Sampling Approach to Wave Field Synthesis: PBAP and Huygens Arrays. - Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Business Process Variant Analysis: Survey and Classification. - Chris J. Mitchell:
The impact of quantum computing on real-world security: A 5G case study. - Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli, Andrea Giovanni Nuzzolese, Valentina Presutti, Chiara Veninata:
Pattern-based design applied to cultural heritage knowledge graphs. - Takuma Udagawa, Akiko Aizawa:
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding. - Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab:
Signal Clustering with Class-independent Segmentation. - Johan Arcile, Raymond R. Devillers, Hanna Klaudel:
Dynamic exploration of multi-agent systems with timed periodic tasks. - Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein:
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. - Rocío Cabrera Lozoya, Arnaud Baumann, Antonino Sabetta, Michele Bezzi:
Commit2Vec: Learning Distributed Representations of Code Changes. - Ali Asgher Mansoor Habiby, Ahamed Thoppu:
Application of Reinforcement Learning for 5G Scheduling Parameter Optimization. - Ngoc C. Lê, Manh-Tuan Dao, Hoang-Linh Nguyen, Tuyet-Nhi Nguyen, Hue Vu:
An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach. - Aisha Khatun, Anisur Rahman, Hemayet Ahmed Chowdhury, Md. Saiful Islam, Ayesha Tasnim:
A Subword Level Language Model for Bangla Language. - Dawit Hadush Hailu, Gebrehiwet Gebrekrstos Lema, Gebremichael T. Tesfamariam:
Integrated Hybrid Optical Networking (IHON) /Fusion for 5G Access Networks. - Jun Li, Xiaoman Shen, Lei Chen, Jiajia Chen:
Bandwidth Slicing to Boost Federated Learning in Edge Computing. - Geeth P. Wijesiri, Jussi Haapola, Tharaka Samarasinghe:
A Discrete Time Markov Chain Based Comparison of the MAC Layer Performance of C-V2X Mode 4 and IEEE 802.11p. - Kai Li, Wei Ni, Yousef Emami, Yiran Shen, Ricardo Severino, David Pereira, Eduardo Tovar:
Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-Physical Systems. - Jingwei Hu, Jian-Guo Liu, Yantong Xie, Zhennan Zhou:
A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration. - Achyudh Ram, Ji Xin, Meiyappan Nagappan, Yaoliang Yu, Rocío Cabrera Lozoya, Antonino Sabetta, Jimmy Lin:
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits. - Uthman Baroudi, Ahmad Shawahna, Md. Enamul Haque:
Efficient Energy Harvesting in Wireless Sensor Networks of Smart Grid. - Edoardo Longo, Alessandro Enrico Cesare Redondi, Matteo Cesana, Andrés Arcia-Moret, Pietro Manzoni:
MQTT-ST: a Spanning Tree Protocol for Distributed MQTT Brokers. - Md Jahidul Islam:
Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions. - Misbahu S. Zubair, David J. Brown, Matthew Ian Bates, Thomas Hughes-Roberts:
Designing Accessible Visual Programming Tools for Children with Autism Spectrum Condition. - Ahmed Ben Said, Abdelkarim Erradi:
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning. - Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang:
Convex Formulation of Overparameterized Deep Neural Networks. - Shaohan Feng, Dusit Niyato, Xiao Lu, Ping Wang, Dong In Kim:
Dynamic Model for Network Selection in Next Generation HetNets with Memory-affecting Rational Users. - Atul Sahay, Smita Gholkar, Kavi Arya:
Selection-based Question Answering of an MOOC. - Peihong Jiang, Hieu Doan, Sandeep Madireddy, Rajeev Surendran Assary, Prasanna Balaprakash:
Value-Added Chemical Discovery Using Reinforcement Learning. - Dong Ma, Ming Ding, Mahbub Hassan:
Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface. - Iman Hazwam Abd Halim, Nur Muhammad Irfan Abu Hassan, Tajul Rosli Bin Razak, Muhammad Nabil Fikri Jamaluddin, Mohammad Hafiz Ismail:
Reducing Honeypot Log Storage Capacity Consumption - Cron Job with Perl-Script Approach. - Mythri Hunukumbure, Galini Tsoukaneri:
Cost Analysis for Drone based 5G eMBB Provision to Emergency Services. - Yidong Luo:
A Unified Divergence Analysis on Projection Method for Symm's Integral Equation of the First Kind. - Miguel Suau, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans A. Oliehoek:
Influence-aware Memory for Deep Reinforcement Learning. - Wei Lu, Xia Wu, Xiwang Cao:
The Parameters of Minimal Linear Codes. - Panagiotis Papadopoulos, Iñigo Querejeta-Azurmendi, Jiexin Zhang, Matteo Varvello, Antonio Nappa, Benjamin Livshits:
ZKSENSE: a Privacy-Preserving Mechanism for Bot Detection in Mobile Devices. - Linara Adilova, Julia Rosenzweig, Michael Kamp:
Information-Theoretic Perspective of Federated Learning. - Xianfu Chen, Tao Chen, Zhifeng Zhao, Honggang Zhang, Mehdi Bennis, Yusheng Ji:
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems. - Xiangzhu Meng, Huibing Wang, Lin Feng:
The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction. - Minjia Shi, Tor Helleseth, Patrick Solé:
Two-weight codes over the integers modulo a prime power. - Michael Kissner:
Hacking Neural Networks: A Short Introduction. - Toshihiko Matsuura, Tatsuya Harada:
Domain Generalization Using a Mixture of Multiple Latent Domains. - Ademar Crotti Junior, Fabrizio Orlandi, Declan O'Sullivan, Christian Dirschl, Quentin Reul:
Using Mapping Languages for Building Legal Knowledge Graphs from XML Files. - Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. - Josie Williams, Narges Razavian:
Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction. - Bo Jiang, Pengfei Sun, Jin Tang, Bin Luo:
GLMNet: Graph Learning-Matching Networks for Feature Matching. - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet:
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories. - Xiabi Liu, Xin Duan:
Automatic Image Co-Segmentation: A Survey. - Miodrag J. Mihaljevic:
A Blockchain Consensus Protocol Based on Dedicated Time-Memory-Data Trade-Off. - Ahmed Imteaj, M. Hadi Amini, Javad Mohammadi:
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks. - Christian Tiefenau, Maximilian Häring, Mohamed Khamis, Emanuel von Zezschwitz:
"Please enter your PIN" - On the Risk of Bypass Attacks on Biometric Authentication on Mobile Devices. - Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
A Multi-Task Gradient Descent Method for Multi-Label Learning. - Nicolas Grelier:
Minimum Convex Partition of Point Sets is NP-Hard. - Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach:
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. - Christian Tiefenau, Maximilian Häring, Eva Gerlitz, Emanuel von Zezschwitz:
Making Privacy Graspable: Can we Nudge Users to use Privacy Enhancing Techniques? - Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov:
An explanation method for Siamese neural networks. - Nichita Diaconu, Daniel E. Worrall:
Affine Self Convolution. - Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. - Rahul Gopinath, Andreas Zeller:
Building Fast Fuzzers. - Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand:
Feedback Control for Online Training of Neural Networks. - Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An:
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. - Farhad Pourkamali-Anaraki, Michael B. Wakin:
The Effectiveness of Variational Autoencoders for Active Learning. - Lu Yihe, Scott C. Lowe, Penelope A. Lewis, Mark C. W. van Rossum:
Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test. - Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell:
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. - Loqman Salamatian, Frédérick Douzet, Kévin Limonier, Kavé Salamatian:
The geopolitics behind the routes data travels: a case study of Iran. - Man-Ki Yoon, Jung-Eun Kim, Richard M. Bradford, Zhong Shao:
TaskShuffler++: Real-Time Schedule Randomization for Reducing Worst-Case Vulnerability to Timing Inference Attacks. - Luc Frachon, Wei Pang, George M. Coghill:
ImmuNeCS: Neural Committee Search by an Artificial Immune System. - Patrick Follmann, Rebecca König:
Oriented Boxes for Accurate Instance Segmentation. - Tianyu Hua, Maithilee Kunda:
Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques. - Steven van Rossem, Wouter Tavernier, Didier Colle, Mario Pickavet, Piet Demeester:
Profile-based Resource Allocation for Virtualized Network Functions. - Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. - Jaroslav Nesetril, Patrice Ossona de Mendez, Roman Rabinovich, Sebastian Siebertz:
Linear rankwidth meets stability. - André Artelt, Barbara Hammer:
On the computation of counterfactual explanations - A survey. - Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig:
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report). - Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. - Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata:
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. - Joshua E. Siegel, Georgios Pappas, Konstantinos Politopoulos, Yongbin Sun:
A gamified simulator and physical platform for self-driving algorithm training and validation. - Samiya Khan, Xiufeng Liu, Mansaf Alam:
A Spark ML driven preprocessing approach for deep learning based scholarly data applications. - Muhammad Asam, Zeeshan Haider, Tauseef Jamal, Kashif Ghuman, Aleena Ajaz:
Novel Relay Selection Protocol for Cooperative Networks. - Monica Rotulo, Claudio De Persis, Pietro Tesi:
Data-driven Linear Quadratic Regulation via Semidefinite Programming. - Nuno Pereira, Luís A. Alexandre:
MaskedFusion: Mask-based 6D Object Pose Detection. - Diego Calvanese, Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Combined Covers and Beth Definability. - Shubham Kumar Singh, Krishna P. Miyapuram, Shanmuganathan Raman:
DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification. - Son Nguyen, Hoan Nguyen, Ngoc M. Tran, Hieu Tran, Tien N. Nguyen:
Feature-Interaction Aware Configuration Prioritization for Configurable Code. - Son Van Nguyen, Tien N. Nguyen, Yi Li, Shaohua Wang:
Combining Program Analysis and Statistical Language Model for Code Statement Completion. - Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Yu Feng, Yuhao Zhu:
PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing. - Oliver Korten:
On the Complexity of 2-Player Packing Games. - Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. - Chang Liu, Zongliang Du, Yichao Zhu, Weisheng Zhang, Xiaoyu Zhang, Xu Guo:
Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach. - Alessandro Melis, Ricardo G. Sanfelice, Lorenzo Marconi:
A Hybrid Control Algorithm for Gradient-Free Optimization using Conjugate Directions. - Shokooh Taghian, Mohammad-Hossein Nadimi-Shahraki:
Binary Sine Cosine Algorithms for Feature Selection from Medical Data. - Yuge Shi, Basura Fernando, Richard I. Hartley:
Action Anticipation with RBF Kernelized Feature Mapping RNN. - Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer:
Unsupervised Representation Learning by Discovering Reliable Image Relations. - Mahdieh Zabihimayvan, Derek Doran:
A First Look at References from the Dark to Surface Web World. - Hans Christian Jung, Johannes Maly, Lars Palzer, Alexander Stollenwerk:
Quantized Compressed Sensing by Rectified Linear Units. - Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman:
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Optimal mechanisms for distributed resource-allocation. - Zhilong Wang, Peng Liu:
GPT Conjecture: Understanding the Trade-offs between Granularity, Performance and Timeliness in Control-Flow Integrity. - Q. Cheng, Chun liu, J. Shen:
A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case. - Mehmet Süzen, Joan J. Cerdà, Cornelius Weber:
Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search. - Jinmingwu Jiang, Kaigui Wu:
Cooperative Pathfinding based on high-scalability Multi-agent RRT. - Tiancheng Xu, Boyuan Tian, Yuhao Zhu:
Tigris: Architecture and Algorithms for 3D Perception in Point Clouds. - Sarafa Iyaniwura, Tony Wong, Michael Jeffrey Ward, Colin B. Macdonald:
Simulation and Optimization of Mean First Passage Time Problems in 2-D using Numerical Embedded Methods and Perturbation Theory. - Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan:
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. - Yun-Hao Cao, Jianxin Wu:
Neural Forest Learning. - Shangfei Wang, Shi Yin, Longfei Hao, Guang Liang:
Multiple Face Analyses through Adversarial Learning. - Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. - Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. - David W. Romero, Mark Hoogendoorn:
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data. - Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng:
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. - Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute noise robust binary classification. - Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks. - Simo Wu, Chun Liu, Ludmil Zitakanov:
Energetic Stable Discretization for Non-Isothermal Electrokinetics Model. - Alexander Jung, Ivan Baranov:
Basic Principles of Clustering Methods. - Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi:
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. - Vincent Coppé, Daan Huybrechs:
Efficient function approximation on general bounded domains using splines on a cartesian grid. - Vishnu Sashank Dorbala, A. H. Abdul Hafez, C. V. Jawahar:
A Deep Learning Approach for Robust Corridor Following. - Lorenzo Miretti, Mari Kobayashi, David Gesbert, Paul de Kerret:
Cooperative Multiple-Access Channels with Distributed State Information. - Farbod Khoshnoud, Ibrahim I. Esat, Clarence W. de Silva, Jason D. Rhodes, Alina A. Kiessling, Marco B. Quadrelli:
Self-Powered Solar Aerial Vehicles: Towards Infinite Endurance UAVs. - Son Nguyen:
Configuration-dependent Fault Localization. - Benjamin Van Roy, Shi Dong:
Comments on the Du-Kakade-Wang-Yang Lower Bounds. - Xinlei Wang, Minchen Li, Yu Fang, Xinxin Zhang, Ming Gao, Min Tang, Danny M. Kaufman, Chenfanfu Jiang:
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping. - Mahdi Takalloo, Changhyun Kwon:
On the Price of Satisficing in Network User Equilibria. - Adonis Emmanuel Tio:
Face shape classification using Inception v3. - Shaoyong Jia, Xin Shu, Yang Yang, Dawei Liang, Qiyue Liu, Junhui Liu:
Cross-modal supervised learning for better acoustic representations. - Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. - Yu Feng, Paul N. Whatmough, Yuhao Zhu:
ASV: Accelerated Stereo Vision System. - Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu:
Privacy Leakage Avoidance with Switching Ensembles. - Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Patch augmentation: Towards efficient decision boundaries for neural networks. - Lu Wang, Jie Yang:
Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search. - Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang:
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. - Tianfu Li, Zhibin Zhao, Chuang Sun, Li Cheng, Xuefeng Chen, Ruqiang Yan, Robert X. Gao:
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis. - Shion Honda:
VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss. - Wei Pang, Xiaojie Wang:
Visual Dialogue State Tracking for Question Generation. - Jessica Velasco, Cherry Pascion, Jean Wilmar Alberio, Jonathan Apuang, John Stephen Cruz, Mark Angelo Gomez, Benjamin Molina Jr., Lyndon Tuala, August Thio-ac, Romeo Jorda Jr.:
A Smartphone-Based Skin Disease Classification Using MobileNet CNN. - Maruf A. Dhali, Jan Willem de Wit, Lambert Schomaker:
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks. - Pengcheng Zhang, Qiyin Dai, Patrizio Pelliccione:
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems. - Akash Kumar, Arnav Bhavsar:
Copy-Move Forgery Classification via Unsupervised Domain Adaptation. - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. - Matthew Ciolino, David Noever, Josh Kalin:
Training Set Affect on Super Resolution for Automated Target Recognition. - Yun Chen, Yiyue Chen, Zhengzhong Tu:
Fitness Done Right: a Real-time Intelligent Personal Trainer for Exercise Correction. - Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer:
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. - Talip Ucar:
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images. - Dongdong Yu, Kai Su, Changhu Wang:
Towards Good Practices for Multi-Person Pose Estimation. - Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang:
Towards Good Practices for Instance Segmentation. - Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford:
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification. - Zhengfang Duanmu, Wentao Liu, Diqi Chen, Zhuoran Li, Zhou Wang, Yizhou Wang, Wen Gao:
A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming Videos. - Aviad Rubinstein, Jack Z. Wang, S. Matthew Weinberg:
Optimal Single-Choice Prophet Inequalities from Samples. - Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. - Zhong-Qiu Wang, Scott Wisdom, Kevin W. Wilson, John R. Hershey:
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement. - Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu:
Implicit Regularization of Normalization Methods. - Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling:
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking. - Tristan Cazenave, Véronique Ventos:
The αμ Search Algorithm for the Game of Bridge. - Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan:
Can You Really Backdoor Federated Learning? - Kyle Helfrich, Qiang Ye:
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. - Rachid Guerraoui, Jad Hamza, Dragos-Adrian Seredinschi, Marko Vukolic:
Can 100 Machines Agree? - Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. - Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. - Zhen Xiang, David J. Miller, George Kesidis:
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. - Venkata Gandikota, Raj Kumar Maity, Arya Mazumdar:
vqSGD: Vector Quantized Stochastic Gradient Descent. - Russell Lee, Mohammad H. Hajiesmaili, Jian Li:
Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling. - Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun:
Estimating Entropy of Distributions in Constant Space. - Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar:
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. - Georgios Georgakis, Yimeng Li, Jana Kosecka:
Simultaneous Mapping and Target Driven Navigation. - Qian Wang, Toby P. Breckon:
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling. - Kathleen Fitzsimons, Aleksandra Kalinowska, Julius P. A. Dewald, Todd D. Murphey:
Task-Based Hybrid Shared Control for Training Through Forceful Interaction. - Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh:
Learning Permutation Invariant Representations using Memory Networks. - Maud Poulin, Jean-François Boujut, Cédric Masclet:
Analysis of the co-design activity: influence of a mixed artifact and contribution of the gestural function in a spatial augmented reality environment. - Ashwin Kallingal Joshy, Wei Le:
Invariant Diffs. - Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi:
WITCHcraft: Efficient PGD attacks with random step size. - Qian Wang, Toby P. Breckon:
Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning. - Caitlyn Clabaugh, Kartik Mahajan, Shomik Jain, Roxanna Pakkar, David Becerra, Zhonghao Shi, Eric Deng, Rhianna Lee, Gisele Ragusa, Maja J. Mataric:
Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders. - Sen Wang, Jiaqi Chen, Xuanliang Deng, Seth Hutchinson, Frank Dellaert:
Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Simulated Brush Model. - Sangwoo Park, Michaela Fraser, Lynne M. Weber, Cassie Meeker, Lauri Bishop, Daniel Geller, Joel Stein, Matei T. Ciocarlie:
User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke. - Jian Ding, Yihong Wu, Jiaming Xu, Dana Yang:
Consistent recovery threshold of hidden nearest neighbor graphs. - Olivia Johanna Erdélyi, Gábor Erdélyi:
The AI Liability Puzzle and A Fund-Based Work-Around. - Fahad Alhasoun, Marta C. González:
Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development. - Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan, Stylianos Moschoglou, Haoyang Wang, Nick E. Pears, William A. P. Smith, Baris Gecer, Stefanos Zafeiriou:
Towards a complete 3D morphable model of the human head. - Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho:
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems. - Iman Niazazari, Hanif Livani:
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach. - Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco:
Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers. - Lingfei Jin, Gaojun Luo, Chaoping Xing:
Optimal repairing schemes for Reed-Solomon codes with alphabet sizes linear in lengths under the rack-aware model. - Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. - Yueliang Liu, Wenbin Guo, Kangyong You, Lei Zhao, Tao Peng, Wenbo Wang:
Graph Learning for Spatiotemporal Signal with Long Short-Term Characterization. - Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau:
Online Learned Continual Compression with Stacked Quantization Module. - Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. - Baokun He, Guihong Wan, Haim Schweitzer:
A Bias Trick for Centered Robust Principal Component Analysis. - Haien Zeng, Hanjiang Lai, Jian Yin:
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval. - Oded Stein, Eitan Grinspun, Alec Jacobson, Max Wardetzky:
A mixed finite element method with piecewise linear elements for the biharmonic equation on surfaces. - Abenezer Girma, Xuyang Yan, Abdollah Homaifar:
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network. - Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable DL Benchmarking Platform. - Wolfgang Jeltsch:
A Process Calculus for Formally Verifying Blockchain Consensus Protocols. - Uri Erez, Gregory W. Wornell:
Super-Nyquist Rateless Coding for Intersymbol Interference Channels. - Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang:
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. - Alvin Chan, Yew-Soon Ong:
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks. - Gianluca Brero, Benjamin Lubin, Sven Seuken:
Machine Learning-powered Iterative Combinatorial Auctions. - Bas Lodewijks:
Mapping NP-hard and NP-complete optimisation problems to Quadratic Unconstrained Binary Optimisation problems. - Pin Wang, Dapeng Liu, Jiayu Chen, Ching-Yao Chan:
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving. - Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee:
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. - Xiangrui Xu, Yaqin Li, Cao Yuan:
A novel method for identifying the deep neural network model with the Serial Number. - Himank Yadav, Zhengxiao Du, Thorsten Joachims:
Fair Learning-to-Rank from Implicit Feedback. - Nishant Parashar, Sawan S. Sinha, Balaji Srinivasan:
Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks. - Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Prestopping: How Does Early Stopping Help Generalization against Label Noise? - Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian:
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. - Yangchen Pan:
Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning. - Young-Jin Kim:
Optimal V2G and Route Scheduling of Mobile Energy Storage Devices Using a Linear Transit Model to Reduce Electricity and Transportation Energy Losses. - Yu-Xuan Li, Jin-Yuan Liu, Liang Li, Xiang Guan:
Thick-Net: Parallel Network Structure for Sequential Modeling. - Zhaoxu Ji, Pei-Ru Fan, Hou-Zhen Wang, Huanguo Zhang:
Entanglement-based quantum private comparison protocol with bit-flipping. - Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato:
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision. - Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen:
Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification. - Yu-Pin Hsu:
Delay-Aware Wireless Network Coding in Adversarial Traffic. - Duc Minh Vo, Akihiro Sugimoto:
Two-Stream FCNs to Balance Content and Style for Style Transfer. - Sixue Gong, Xiaoming Liu, Anil K. Jain:
DebFace: De-biasing Face Recognition. - Ping-Ping Wang, Liang Li, Guang-Hui Cheng:
Low rank tensor completion with sparse regularization in a transformed domain. - Peter Robinson:
Application Level Authentication for Ethereum Private Blockchain Atomic Crosschain Transactions. - Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart:
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. - Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien:
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning. - Javier R. Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew B. Gardner:
Deep Detector Health Management under Adversarial Campaigns. - Rica Gonen, Erel Segal-Halevi:
Strongly Budget Balanced Auctions for Multi-Sided Markets. - Yangfeng Su, Tianyi Lu, Zhaojun Bai:
2D Eigenvalue Problems I: Existence and Number of Solutions. - Jin Qiu, Jiangbin Lyu, Liqun Fu:
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning. - Hongwei Zeng, Zhuo Zhi, Jun Liu, Bifan Wei:
Extended Answer and Uncertainty Aware Neural Question Generation. - Todor Mihaylov, Preslav Nakov:
Hunting for Troll Comments in News Community Forums. - Jian-Hao Luo, Jianxin Wu:
Neural Network Pruning with Residual-Connections and Limited-Data. - Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. - Qiang Ren, Shaohua Shang, Lianghua He:
Adaptive Routing Between Capsules. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
In Search of Credible News. - Xiaoyu Wang, Ye Deng, Jinjun Wang:
Distributed Generative Adversarial Net. - David Kempe:
Communication, Distortion, and Randomness in Metric Voting. - Alberto Paoluzzi, Vadim Shapiro, Antonio DiCarlo, Francesco Furiani, Giulio Martella, Giorgio Scorzelli:
Topological computing of arrangements with (co)chains. - Wenjun Xu, Tingting Zou, Hui Gao, Zhisong Bie, Zhiyong Feng, Zhiguo Ding:
Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms. - Stefan Hristozov, Manuel Huber, Georg Sigl:
Protecting RESTful IoT Devices from Battery Exhaustion DoS Attacks. - B. Subbareddy, S. Sai Ashish, Aditya Siripuram:
Towards A Theory of Duality for Graph Signal Processing. - Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim:
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets. - Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction. - Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. - Suguman Bansal, Yong Li, Lucas M. Tabajara, Moshe Y. Vardi:
Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. - William Casbolt, Iñaki Esnaola, Bryn Jones:
Denial of Service Attacks on Control Systems with Packet Loss. - Zhiqiang Xiong, Zhicheng Wang, Zhaohui Yu, Xi Gu:
Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms. - Masahito Hayashi, Ángeles Vázquez-Castro:
Two-Way Physical Layer Security Protocol for Gaussian Channels. - Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. - Marcin Los, Pouria Behnoudfar, Maciej Paszynski, Victor Manuel Calo:
Fast isogeometric solvers for hyperbolic wave propagation problems. - Chaoshun Li, Geng Tang, Xiaoming Xue, Xinbiao Chen, Ruoheng Wang, Chu Zhang:
Deep interval prediction model with gradient descend optimization method for short-term wind power prediction. - Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao:
Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization. - Meysam Sadeghi, Emil Björnson, Erik G. Larsson, Chau Yuen, Thomas L. Marzetta:
Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems. - Baoli Yin, Yang Liu, Hong Li, Zhimin Zhang:
Finite element methods based on two families of novel second-order numerical formulas for the fractional Cable model. - Chao Tian, Cong Li, Jianping Shi:
Dense Fusion Classmate Network for Land Cover Classification. - Aydin Tarik Zengin, Gökhan Erdemir, Tahir Cetin Akinci, Fahri Anil Selcuk, Mustafa Nizamettin Erduran, S. Serhat Seker:
ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot Design and Control. - Andreas Abel, Thierry Coquand:
Failure of Normalization in Impredicative Type Theory with Proof-Irrelevant Propositional Equality. - Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier:
Rethinking deep active learning: Using unlabeled data at model training. - Andrea Bracciali, Davide Grossi, Ronald de Haan:
Decentralization in Open Quorum Systems. - Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi:
Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles. - Sören Bartels:
Numerical simulation of inextensible elastic ribbons. - Zhiwei Jia, Hao Su:
Information-Theoretic Local Minima Characterization and Regularization. - Peter Benner, Thomas Richter, Roman Weinhandl:
A Low-rank Approach for Nonlinear Parameter-dependent Fluid-structure Interaction Problems. - Minming Li, Long Tran-Thanh, Xiaowei Wu:
Defending with Shared Resources on a Network. - Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan:
Sequential Mode Estimation with Oracle Queries. - Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, Huasheng Liu:
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network. - Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. - Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie:
Survival and Neural Models for Private Equity Exit Prediction. - Christian Meske, Ireti Amojo:
Status Quo, Critical Reflection and Road Ahead of Digital Nudging in Information Systems Research - A Discussion with Markus Weinmann and Alexey Voinov. - Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss:
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. - Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. - Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon:
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery. - Huizhou Li, Chao Yang, Fangting Lin, Bin Jiang, Hao Zhao:
Constrained R-CNN: A general image manipulation detection model. - Márcio Ferreira Moreno, Rodrigo Costa Mesquita Santos, Wallas Henrique Sousa dos Santos, Sandro Rama Fiorini, Reinaldo Mozart Da Gama e Silva:
Multimedia Search and Temporal Reasoning. - You Hao, Hanlin Mo, Qi Li, He Zhang, Hua Li:
Dual affine moment invariants. - Stella Civelli, Marco Secondini:
Hierarchical Distribution Matching: a Versatile Tool for Probabilistic Shaping. - Sadik Bessou, Mohamed Touahria:
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval. - Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. - Maurice Weiler, Gabriele Cesa:
General E(2)-Equivariant Steerable CNNs. - Junyi An, Fengshan Liu, Furao Shen, Jian Zhao:
Inter-layer Collision Networks. - Sophie van der Zee, Richard Clayton, Ross J. Anderson:
The gift of the gab: Are rental scammers skilled at the art of persuasion? - Yiping Zuo, Shi Jin, Shengli Zhang:
Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System. - Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version). - Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. - Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver:
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. - Neeraj Bhanot, Harwinder Singh, Divyansu Sharma, Harshit Jain, Shreyansh Jain:
Python vs. R: A Text Mining Approach for analyzing the Research Trends in Scopus Database. - Ismet Addoui, Tarek Chouaki, Ambrogio Delli Colli:
Generating relevant scenarios for intelligent transportation service. - Bas R. J. Bolmer, Monique Taverne, Marco Scherer:
Exploring the added value of blockchain technology for the healthcare domain. - Thomas Hardjono, George Howard, Eric Scace, Mizan Chowdury, Lucas Novak, Meghan Gaudet, Justin Anderson, Nicole d'avis, Christopher Kulis, Edward Sweeney, Chandler Vaughan:
Towards an Open and Scalable Music Metadata Layer. - Edward McDaid, Sarah McDaid:
Zoea - Composable Inductive Programming Without Limits. - Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren:
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. - E. Natasha Stavros, Ali Agha, Allen Sirota, Marco B. Quadrelli, Kamak Ebadi, Kyongsik Yun:
Smoke Sky - Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications. - Waseem Sheikh, Nadeem Sheikh:
A Model-View-ViewModel (MVVM) Application Framework for Hearing Impairment Diagnosis. - Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness through Equality of Effort. - Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney:
Experiences with Improving the Transparency of AI Models and Services. - Lijie Chen, Shuichi Hirahara, Igor C. Oliveira, Ján Pich, Ninad Rajgopal, Rahul Santhanam:
Beyond Natural Proofs: Hardness Magnification and Locality. - Wen Qian, Xue Yang, Silong Peng, Yue Guo, Chijun Yan:
Learning Modulated Loss for Rotated Object Detection. - Ponugoti Nikhila, Sabari Nathan, Elmer Jeto Gomes Ataide, Alfredo Illanes, Michael Friebe, Srichandana Abbineni:
Lightweight Residual Network for The Classification of Thyroid Nodules. - Dimitrios Loukrezis, Herbert De Gersem:
Adaptive Sparse Polynomial Chaos Expansions via Leja Interpolation. - Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Ioannis Ioakimidis, Anastasios Delopoulos:
A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment. - Rogers Epstein, Sandeep Silwal:
Property Testing of LP-Type Problems. - Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. - Dhruv Paranjpye, Ashish Mahabal, A. N. Ramaprakash, Gina Panopoulou, Kieran Cleary, Anthony Readhead, Dmitry Blinov, Kostas Tassis:
Eliminating artefacts in Polarimetric Images using Deep Learning. - Timothy D. Barfoot, James Richard Forbes, David J. Yoon:
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation. - Min Chen, Mateu Sbert:
On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy. - Qing Cheng, Chun Liu, Jie Shen:
A new Lagrange Multiplier approach for gradient flows. - Alexander Edmonds, Aleksandar Nikolov, Jonathan R. Ullman:
The Power of Factorization Mechanisms in Local and Central Differential Privacy. - Martin Andrews, Sam Witteveen:
Unsupervised Natural Question Answering with a Small Model. - Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl:
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. - Ying Huang, Bin Sun, Haipeng Kan, Jiankai Zhuang, Zengchang Qin:
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition. - Oran Gafni, Lior Wolf, Yaniv Taigman:
Live Face De-Identification in Video. - (Withdrawn) Optimization of Adaptive Cruise Control system Controller: using Linear Quadratic Gaussian based on Genetic Algorithm.
- Toqi Tahamid Sarker, Juan M. Banda:
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. - Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson:
Energy Usage Reports: Environmental awareness as part of algorithmic accountability. - Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini:
Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores. - Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec:
All-Pay Bidding Games on Graphs. - Ilkka Rautiainen, Sami Äyrämö:
Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches. - Kenny Young:
Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment. - Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner:
Attention Privileged Reinforcement Learning For Domain Transfer. - Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. - Markus Brill, Paul Gölz, Dominik Peters, Ulrike Schmidt-Kraepelin, Kai Wilker:
Approval-Based Apportionment. - Simon Gerber, Gerd Zellweger, Reto Achermann, Moritz Hoffmann, Kornilios Kourtis, Timothy Roscoe, Dejan S. Milojicic:
Cichlid: Explicit physical memory management for large machines. - Vladimir Vargas-Calderón, Nicolás Parra-A., Jorge E. Camargo, Herbert Vinck-Posada:
Event detection in Colombian security Twitter news using fine-grained latent topic analysis. - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro:
Improved Compressed String Dictionaries. - Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan:
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. - Tobias Maier, Peter Sanders, Robert Williger:
Concurrent Expandable AMQs on the Basis of Quotient Filters. - Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro, Oscar Pedreira:
Extending General Compact Querieable Representations to GIS Applications. - Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum:
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. - Vladimir Vargas-Calderón, Jorge E. Camargo:
A model for predicting price polarity of real estate properties using information of real estate market websites. - Sam Ainsworth, Timothy M. Jones:
MuonTrap: Preventing Cross-Domain Spectre-Like Attacks by Capturing Speculative State. - Victor Artigues, Katharina Kormann, Markus Rampp, Klaus Reuter:
Evaluation of performance portability frameworks for the implementation of a particle-in-cell code. - Ashwin Geet D'Sa, Irina Illina, Dominique Fohr:
Towards non-toxic landscapes: Automatic toxic comment detection using DNN. - Uriel Feige, Ella Fuchs:
On the path partition number of 6-regular graphs. - Maxime Bassenne, Lin Fu, Ali Mani:
Time-Accurate and highly-Stable Explicit operators for stiff differential equations. - Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel:
KISS: Keeping It Simple for Scene Text Recognition. - Zhiguo Wang, Zhongliang Yang, Yu-Jin Zhang:
A Lifting Method for Generation Error Based Video Anomaly Detection. - Anastasia Mavridou, Joseph Sifakis, Janos Sztipanovits:
DesignBIP: A Design Studio for Modeling and Generating Systems with BIP. - Laura Bozzelli, Aniello Murano, Adriano Peron:
Timed Context-Free Temporal Logics. - Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul:
Mixed-curvature Variational Autoencoders. - Shixin Zhu, Wan Jiang, Xiaojing Chen:
New entanglement-assisted quantum MDS codes with length n=(q2+1)/5. - Jacob D. Abernethy, Kevin A. Lai, Andre Wibisono:
Fictitious Play: Convergence, Smoothness, and Optimism. - Osman Asif Malik, Stephen Becker:
Guarantees for the Kronecker Fast Johnson-Lindenstrauss Transform Using a Coherence and Sampling Argument. - Sukhada Chokkadi, Sannidhan M. S, Sudeepa K. B, Abhir Bhandary:
A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques. - Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang:
Defective Convolutional Layers Learn Robust CNNs. - Mohammad Hashir, Rapinder Sawhney:
Towards unstructured mortality prediction with free-text clinical notes. - Rui Zhao, Malcolm P. Atkinson:
Towards a computer-interpretable actionable formal model to encode data governance rules. - Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
Time-varying constrained proximal type dynamics in multi-agent network games. - Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. - Majid Khabbazian, Afshin Arefi:
Packet Loss Recovery in Broadcast for Real-Time Applications in Dense Wireless Networks. - Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine:
Planning with Goal-Conditioned Policies. - Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. - Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles:
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. - Haien Zeng, Hanjiang Lai, Hanlu Chu, Yong Tang, Jian Yin:
Modal-aware Features for Multimodal Hashing. - Michalis Xenos, Catherine Christodoulopoulou, Andreas Mallas, John D. Garofalakis:
The Future Time Traveller Project: Career Guidance on Future Skills, Jobs and Career Prospects of Generation Z through a Game-Based Virtual World Environment. - Michael Peven, Gregory D. Hager, Austin Reiter:
Action Recognition Using Volumetric Motion Representations. - Jun Zhao:
Topological properties of secure wireless sensor networks under the q-composite key predistribution scheme with unreliable links. - Danilo Francati, Giuseppe Ateniese, Abdoulaye Faye, Andrea Maria Milazzo, Angelo Massimo Perillo, Luca Schiatti, Giuseppe Giordano:
Audita: A Blockchain-based Auditing Framework for Off-chain Storage. - Shahid Alam, Abdulaziz Ravshanbekov:
Sieving Fake News From Genuine: A Synopsis. - Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. - Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. - Ghada Almashaqbeh, Allison Bishop, Justin Cappos:
MicroCash: Practical Concurrent Processing of Micropayments. - Omar U. Florez, Erik T. Mueller:
Aging Memories Generate More Fluent Dialogue Responses with Memory Networks. - Mine Sarac, Allison M. Okamura, Massimiliano Di Luca:
Haptic Sketches on the Arm for Manipulation in Virtual Reality. - Ahmad Biniaz:
Euclidean Bottleneck Bounded-Degree Spanning Tree Ratios. - Hongteng Xu:
Gromov-Wasserstein Factorization Models for Graph Clustering. - Ayush Jain, Alon Orlitsky:
Robust Learning of Discrete Distributions from Batches. - Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. - Shuang Zhang, Ada Zhen, Robert L. Stevenson:
Deep Motion Blur Removal Using Noisy/Blurry Image Pairs. - Omar U. Florez, Erik T. Mueller:
Learning to Control Latent Representations for Few-Shot Learning of Named Entities. - Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Ilya Stanevich, Guang Wei Yu:
Cross-Class Relevance Learning for Temporal Concept Localization. - Jason Ren, Russell Kunes, Finale Doshi-Velez:
Prediction Focused Topic Models for Electronic Health Records. - Brian Gaudet, Richard Linares, Roberto Furfaro:
Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning. - Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain:
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. - Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta:
Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. - Komal K. Teru, Aishik Chakraborty:
Towards Reducing Bias in Gender Classification. - Ruo-Wei Hung, Fatemeh Keshavarz-Kohjerdi:
The Longest (s, t)-paths of O-shaped Supergrid Graphs. - Or Isaacs, Oran Shayer, Michael Lindenbaum:
Enhancing Generic Segmentation with Learned Region Representations. - Simone Raponi, Roberto Di Pietro:
Web-sites password management (in)security: Evidence and remedies. - Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. - Praveen Kumar Bodigutla, Lazaros Polymenakos, Spyros Matsoukas:
Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation. - Michael Diodato, Yu Li, Antonia Lovjer, Minsu Yeom, Albert Song, Yiyang Zeng, Abhay Khosla, Benedikt D. Schifferer, Manik Goyal, Iddo Drori:
Accurate Trajectory Prediction for Autonomous Vehicles. - Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. - Vasco Portilheiro:
Representation Learning with Multisets. - Yiheng Han, Wang Zhao, Jia Pan, Zipeng Ye, Ran Yi, Yong-Jin Liu:
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking. - Jan Blumenkamp:
End to end collision avoidance based on optical flow and neural networks. - Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu:
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. - Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning Stylized Character Expressions from Humans. - David A. Cohen, Martin C. Cooper, Artem Kaznatcheev, Mark Wallace:
Steepest ascent can be exponential in bounded treewidth problems. - Thilo Hagendorff:
Forbidden knowledge in machine learning - Reflections on the limits of research and publication. - Luca Mocerino, Andrea Calimera:
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs. - Anilkumar Parsi, Andrea Iannelli, Mingzhou Yin, Mohammad Khosravi, Roy S. Smith:
Robust Adaptive Model Predictive Control with Worst-Case Cost. - Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao:
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition. - Borislav Mavrin, Daniel Graves, Alan Chan:
Efficient decorrelation of features using Gramian in Reinforcement Learning. - Casey A. Cole, Christopher Ott, Diego Valdes, Homayoun Valafar:
PDBMine: A Reformulation of the Protein Data Bank to Facilitate Structural Data Mining. - Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis:
Attention Guided Anomaly Detection and Localization in Images. - Badri N. Patro, Anupriy, Vinay P. Namboodiri:
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. - Shuwen Deng, Wenjie Xiong, Jakub Szefer:
A Benchmark Suite for Evaluating Caches' Vulnerability to Timing Attacks. - William Thong, Pascal Mettes, Cees G. M. Snoek:
Open Cross-Domain Visual Search. - Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. - Filip Klaesson, Petter Nilsson, Aaron D. Ames, Richard M. Murray:
Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems. - Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. - Siddharth Krishna, Alexander J. Summers, Thomas Wies:
Local Reasoning for Global Graph Properties. - Soheil Salehi, Ronald F. DeMara:
Adaptive Non-Uniform Compressive Sensing using SOT-MRAM Multibit Crossbar Arrays. - Minh Le:
Logic-inspired Deep Neural Networks. - Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh:
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. - Hiromu Yakura, Youhei Akimoto, Jun Sakuma:
Generate (non-software) Bugs to Fool Classifiers. - Xiaorui Zhou, Senlin Luo, Yunfang Wu:
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. - Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. - Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen:
Unified Multifaceted Feature Learning for Person Re-Identification. - Phillip Pope, Yogesh Balaji, Soheil Feizi:
Adversarial Robustness of Flow-Based Generative Models. - Diego Casado-Mansilla, Pablo Garaizar, Ane Irizar-Arrieta, Diego López-de-Ipiña:
On the Side Effects of Automation in IoT: Complacency and Comfort vs. Relapse and Distrust. - Vibhavari Dasagi, Robert Lee, Jake Bruce, Jürgen Leitner:
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. - Niclas Boehmer, Edith Elkind:
Individual-Based Stability in Hedonic Diversity Games. - Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida:
MMTM: Multimodal Transfer Module for CNN Fusion. - Zuchao Li, Hai Zhao, Kevin Parnow:
Global Greedy Dependency Parsing. - Oussama Abderrahmane Dambri, Soumaya Cherkaoui:
Toward a Wired Ad Hoc Nanonetwork. - Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. - Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. - Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu:
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. - Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua:
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation. - Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun:
Corruption Robust Exploration in Episodic Reinforcement Learning. - Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu:
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. - Yuwen Li, Ludmil T. Zikatanov:
Residual-based a posteriori error estimates of mixed methods in Biot's consolidation model. - Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama:
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? - Qintong Li, Hongshen Chen, Zhaochun Ren, Zhumin Chen, Zhaopeng Tu, Jun Ma:
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation. - Tom Blau, Lionel Ott, Fabio Ramos:
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. - Dimitris Fotakis, Anthimos Vardis Kandiros, Thanasis Lianeas, Nikos Mouzakis, Panagiotis Patsilinakos, Stratis Skoulakis:
Node Max-Cut and Computing Equilibria in Linear Weighted Congestion Games. - Xing Niu, Marine Carpuat:
Controlling Neural Machine Translation Formality with Synthetic Supervision. - Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Aniket Bera, Dinesh Manocha:
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping. - Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin:
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - (Withdrawn) Instance-Invariant Adaptive Object Detection via Progressive Disentanglement.
- Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu:
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. - Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Xiaodong Cun, Chi-Man Pun, Cheng Shi:
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN. - Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. - Shunta Maeda:
Fast and Flexible Image Blind Denoising via Competition of Experts. - Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. - Yujie Liu, Junping Wang:
A Locking-Free P0 Finite Element Method for Linear Elasticity Equations on Polytopal Partitions. - Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz:
Response Transformation and Profit Decomposition for Revenue Uplift Modeling. - Saeed Afshar, Andrew P. Nicholson, André van Schaik, Gregory Cohen:
Event-based Object Detection and Tracking for Space Situational Awareness. - Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang:
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization. - Nikhil Thakurdesai, Anupam Tripathi, Dheeraj Butani, Smita Sankhe:
Vision: A Deep Learning Approach to provide walking assistance to the visually impaired. - Todor Mihaylov, Preslav Nakov:
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. - Amir Farzad, T. Aaron Gulliver:
Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU. - Yuyao Shi, Mohan Rajesh Elara, Anh Vu Le, Veerajagadheswar Prabakaran, Kristin L. Wood:
Path tracking control of self-reconfigurable robot hTetro with four differential drive units. - Keyu An, Hongyu Xiang, Zhijian Ou:
CAT: CRF-based ASR Toolkit. - Carl Folkestad, Daniel Pastor, Igor Mezic, Ryan Mohr, Maria Fonoberova, Joel Burdick:
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control. - Shafiq R. Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Global Thread-Level Inference for Comment Classification in Community Question Answering. - Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces. - Lina Zhao, Eric T. Chung, Ming Fai Lam:
A new staggered DG method for the Brinkman problem robust in the Darcy and Stokes limits. - Preslav Nakov:
Paraphrasing Verbs for Noun Compound Interpretation. - Yong Fang:
Decoding Polar Codes via Weighted-Window Soft Cancellation for Slowly-Varying Channel. - Matteo Testa, Arslan Ali, Tiziano Bianchi, Enrico Magli:
Learning mappings onto regularized latent spaces for biometric authentication. - Syeda Noor Jaha Azim, Md. Aminur Rab Ratul:
Inspect Transfer Learning Architecture with Dilated Convolution. - Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See:
Understanding Top-k Sparsification in Distributed Deep Learning. - Roni Haecki, Lukas Humbel, Reto Achermann, David A. Cock, Daniel David Schwyn, Timothy Roscoe:
CleanQ: a lightweight, uniform, formally specified interface for intra-machine data transfer. - Xuepeng Fan, Peng Li, Yulong Zeng, Xiaoping Zhou:
Implement Liquid Democracy on Ethereum: A Fast Algorithm for Realtime Self-tally Voting System. - Lutz Bornmann, Sitaram Devarakonda, Alexander Tekles, George Chacko:
Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers. - Siyu Yao, Ruijie Wang, Shen Sun, Derui Bu, Jun Liu:
Joint Embedding Learning of Educational Knowledge Graphs. - Fei Ding, Gang Yang, Jinlu Liu, Jun Wu, Dayong Ding, Jie Xu, Gangwei Cheng, Xirong Li:
Hierarchical Attention Networks for Medical Image Segmentation. - Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang:
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores. - Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades:
LionForests: Local Interpretation of Random Forests through Path Selection. - Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein:
Joint Emotion Label Space Modelling for Affect Lexica. - Qun Liu, Lihua Fu, Meng Zhang:
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks. - Angelo Capossele, Sebastian Müller, Andreas Penzkofer:
Robustness and efficiency of leaderless probabilistic consensus protocols within Byzantine infrastructures. - Junjie Hu, Takayuki Okatani:
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method. - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks. - Ehud Reiter:
Natural Language Generation Challenges for Explainable AI. - Chi Thang Duong, Thanh Dat Hoang, Ha The Hien Dang, Quoc Viet Hung Nguyen, Karl Aberer:
On Node Features for Graph Neural Networks. - Obed Samano Abonce, Mengjie Zhou, Andrew Calway:
You Are Here: Geolocation by Embedding Maps and Images. - Johanna Kerler-Back, Tatjana Stykel:
Balanced truncation model reduction for 3D linear magneto-quasistatic field problems. - Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. - Masataka Gohda, Naonori Kakimura:
Online Spectral Approximation in Random Order Streams. - Martin Frank, Jonas Kusch, Thomas Camminady, Cory D. Hauck:
Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering. - Shifeng Ding, Kevin X. Pan, Sanjay K. Bose, Qiong Zhang, Gangxiang Shen:
Blockchain-Assisted Spectrum Trading between Elastic Virtual Optical Networks. - Oguzhan Ersoy, Stefanie Roos, Zekeriya Erkin:
How to profit from payments channels. - Takehiro Kawasaki, Nathanaël Barrot, Seiji Takanashi, Taiki Todo, Makoto Yokoo:
Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network. - Muhammad Arsath K. F, Vinod Ganesan, Rahul Bodduna, Chester Rebeiro:
PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance. - Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao, Stéphane Dupuy:
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. - Dong Wang, Yuki Ueda, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
The Evolution of Code Review Research: A Systematic Mapping Study. - Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Black-box Combinatorial Optimization using Models with Integer-valued Minima. - Daniel Chao Zhou, Zhongming Jin, Tong Zhang:
A Fast Sampling Gradient Tree Boosting Framework. - Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar:
Hierarchical Average Reward Policy Gradient Algorithms. - Ofer Givoli, Roi Reichart:
Zero-Shot Semantic Parsing for Instructions. - Hessel Haagsma, Malvina Nissim, Johan Bos:
Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions. - Christian Konrad:
Streaming Frequent Items with Timestamps and Detecting Large Neighborhoods in Graph Streams. - Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle:
A Conditional Perspective for Iterated Belief Contraction. - Arpita Patra, Pratik Sarkar, Ajith Suresh:
Fast Actively Secure OT Extension for Short Secrets. - Najah-Imane Bentabet, Rémi Juge, Sira Ferradans:
Table-Of-Contents generation on contemporary documents. - Mateen Ashraf, Zijian Wang, Luc Vandendorpe:
Online Power Allocation at Energy Harvesting Transmitter for Multiple Receivers with and without Individual Rate Constraints for OMA and NOMA Transmissions. - Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. - Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Classification. - Hiroharu Kato, Tatsuya Harada:
Self-supervised Learning of 3D Objects from Natural Images. - Agnieszka Anna Tomaka, Leszek Luchowski, Dariusz Pojda, Michal Tarnawski, Krzysztof Domino:
The dynamics of the stomatognathic system from 4D multimodal data. - Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju:
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices. - Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet:
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. - Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers:
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. - Alan Lukezic, Jiri Matas, Matej Kristan:
D3S - A Discriminative Single Shot Segmentation Tracker. - Hatem A. Alharbi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Impact of the Net Neutrality Repeal on Communication Networks. - Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Partially Permuted Multi-Trellis Belief Propagation for Polar Codes. - Parnia Bahar, Tobias Bieschke, Hermann Ney:
A Comparative Study on End-to-end Speech to Text Translation. - Jayasree Saha, Jayanta Mukherjee:
CNAK : Cluster Number Assisted K-means. - Carl Corea, Matthias Thimm:
Towards Inconsistency Measurement in Business Rule Bases. - Serkan Ak, Stefan Brüggenwirth:
Avoiding Jammers: A Reinforcement Learning Approach. - Mine Su Erturk, Kuang Xu:
Dynamically Protecting Privacy, under Uncertainty. - Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. - Lei Ding, Hao Tang, Lorenzo Bruzzone:
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention. - Kai Pua, Daisuke Yuhara, Sho Ayuba, Kenji Yasuoka:
Dataflow programming for the analysis of molecular dynamics with AViS, an analysis and visualization software application. - Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On using 2D sequence-to-sequence models for speech recognition. - Ting-En Lin, Hua Xu, Hanlei Zhang:
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. - Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. - Jian Xie:
Shift Convolution Network for Stereo Matching. - Rishikesh Yadav, Ramakanta Meher, Vishnu Narayan Mishra:
Results on bivariate Szasz-Mirakyan type operators in polynomial weight spaces. - Ke He, Bo Liu, Yu Zhang, Andrew Ling, Dian Gu:
FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10. - Ruobing Han, Yang You, James Demmel:
Auto-Precision Scaling for Distributed Deep Learning. - Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou:
Deep Learning based HEp-2 Image Classification: A Comprehensive Review. - Arieh Iserles, Marcus Webb:
A family of orthogonal rational functions and other orthogonal systems with a skew-Hermitian differentiation matrix. - Sayan Bandyapadhyay, Aritra Banik, Sujoy Bhore, Martin Nöllenburg:
Geometric Planar Networks on Bichromatic Points. - Liang Yan, Tao Zhou:
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems. - Pietro Falco, Abdallah Attawia, Matteo Saveriano, Dongheui Lee:
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation. - Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, Dongheui Lee:
A Human Action Descriptor Based on Motion Coordination. - Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise. - Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang:
Rule-Guided Compositional Representation Learning on Knowledge Graphs. - Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu:
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation. - Steffen Herbold, Alexander Trautsch, Fabian Trautsch:
Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection. - Mehrija Hasicic, Harun Siljak:
Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities. - Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. - Zikri Bayraktar:
Adaptive Wind Driven Optimization Trained Artificial Neural Networks. - Sergei Monakhov:
Understanding Troll Writing as a Linguistic Phenomenon. - Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai:
Real-time Scene Text Detection with Differentiable Binarization. - (Withdrawn) MetH: A family of high-resolution and variable-shape image challenges.
- Gianluigi Rozza, Martin W. Hess, Giovanni Stabile, Marco Tezzele, Francesco Ballarin:
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. - Ben Hermans, Roel Leus, Jannik Matuschke:
Exact and approximation algorithms for the expanding search problem. - Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu:
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain. - Gregorio Quintana-Ortí, Fernando Hernando, Francisco D. Igual:
Parallel Implementations for Computing the Minimum Distance of a Random Linear Code on Multicomputers. - Louis Dublois, Michael Lampis, Vangelis Th. Paschos:
New Algorithms for Mixed Dominating Set. - Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon:
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. - Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He:
Transfer Learning Toolkit: Primers and Benchmarks. - Diego Arroyuelo, Guillermo de Bernardo, Travis Gagie, Gonzalo Navarro:
Faster Dynamic Compressed d-ary Relations. - Henry Edison, Xiaofeng Wang, Pekka Abrahamsson:
Product Innovation through Internal Startup in Large Software Companies: a Case Study. - Yew Ken Chia, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. - Minah Oh:
The Hodge Laplacian on Axisymmetric Domains. - Waqas Nawaz:
An Empirical Study of Community Detection Algorithms on Social and Road Networks. - Jiacheng Dai, Zhifeng Jia, Xiaofeng Gao, Guihai Chen:
A Hierarchical Optimizer for Recommendation System Based on Shortest Path Algorithm. - Yinglong Feng, Shuncheng Wu, Okan Köpüklü, Xueyang Kang, Federico Tombari:
Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams. - Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
Exponential Family Graph Embeddings. - Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Learning Embeddings from Cancer Mutation Sets for Classification Tasks. - Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon:
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. - Suela Isaj, Torben Bach Pedersen, Esteban Zimányi:
Multi-Source Spatial Entity Linkage. - Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang:
Towards a Unified Evaluation of Explanation Methods without Ground Truth. - Laura Bishop, Carlos Cancino Chacón, Werner Goebl:
Moving to Communicate, Moving to Interact: Patterns of Body Motion in Musical Duo Performance. - (Withdrawn) Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek.
- Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. - Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin:
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. - Thomas A. Henzinger, Anna Lukina, Christian Schilling:
Outside the Box: Abstraction-Based Monitoring of Neural Networks. - Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. - (Withdrawn) Ultra-Reliable and Low-Latency Vehicular Communication using Optical Camera Communications.
- Binbin Zhang, Wen Shen, Shikun Huang, Zhihua Wei, Quanshi Zhang:
3D-Rotation-Equivariant Quaternion Neural Networks. - Laura Koesten, Kathleen Gregory, Paul Groth, Elena Simperl:
Talking datasets: Understanding data sensemaking behaviours. - Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-modal Context Graph for Visual Grounding. - Nieves R. Brisaboa, Antonio Fariña, Daniil Galaktionov, Tirso V. Rodeiro, M. Andrea Rodríguez:
New structures to solve aggregated queries for trips over public transportation networks. - Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis:
A CNN-RNN Framework for Crop Yield Prediction. - Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. - Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek:
Collaborative Machine Learning Markets with Data-Replication-Robust Payments. - Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei, Quanshi Zhang:
Utility Analysis of Network Architectures for 3D Point Cloud Processing. - Umar Özgünalp, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang, Ming Liu:
Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT. - Lucas Gren, Alfredo Goldman, Christian Jacobsson:
The perceived effects of group developmental psychology training on agile software development teams. - Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim:
Fine-grained Synthesis of Unrestricted Adversarial Examples. - Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk:
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. - Lucas Gren, Alfredo Goldman, Christian Jacobsson:
Agile Ways of Working: A Team Maturity Perspective. - Alex Brandts, Marcin Wrochna, Stanislav Zivný:
The complexity of promise SAT on non-Boolean domains. - Erick Schultz S. A. Caetano, Denise Fonseca Resende, Samir Angelo Milani Martins, Erivelton Geraldo Nepomuceno, Leonardo Bonato Felix:
Modelagem de Sistemas Audiométricos Usando Técnicas de Computação Flexível. - Nicola Apollonio, Lorenzo Balzotti:
A New Characterization of Path Graphs. - Mingxing Tan, Ruoming Pang, Quoc V. Le:
EfficientDet: Scalable and Efficient Object Detection. - Katherine L. Hermann, Simon Kornblith:
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks. - Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls are Everywhere but not the Eyes. - Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. - Alberto Ordóñez Pereira, Gonzalo Navarro, Nieves R. Brisaboa:
Grammar Compressed Sequences with Rank/Select Support. - Monica Arul, Ahsan Kareem:
Shapelets for earthquake detection. - Oliver Karras, Jil Klünder, Kurt Schneider:
Tool-Supported Experiments for Continuously Collecting Data of Subjective Video Quality Assessments During Video Playback. - Suryansh Kumar, Yuchao Dai, Hongdong Li:
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene. - Daniele Bartoli, Matteo Bonini, Burçin Günes:
An inductive construction of minimal codes. - Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. - Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. - Harun Siljak:
Reversible Computation in Wireless Communications. - Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng:
On Universal Features for High-Dimensional Learning and Inference. - Harro Wimmel:
Synthesis of Reduced Asymmetric Choice Petri Nets. - Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali:
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. - Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
ID-aware Quality for Set-based Person Re-identification. - Jonathan B. Freund, Jonathan F. MacArt, Justin A. Sirignano:
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). - Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case. - Giulio Malavolta, Pedro Moreno-Sanchez, Aniket Kate, Matteo Maffei, Srivatsan Ravi:
Concurrency and Privacy with Payment-Channel Networks. - Chun-Hsiang Chan, Bundit Laekhanukit, Hao-Ting Wei, Yuhao Zhang:
Polylogarithmic Approximation Algorithm for k-Connected Directed Steiner Tree on Quasi-Bipartite Graphs. - MohammadAmin Fazli, Alireza Amanihamedani:
Governance of Social Welfare in Networked Markets. - Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-based Optimization for Bayesian Preference Elicitation. - Javier Sánchez-Monedero, Lina Dencik:
The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. - Gal Dalal, Balázs Szörényi, Gugan Thoppe:
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. - Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. - Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. - Anupam Gupta, Euiwoong Lee, Jason Li:
The Karger-Stein Algorithm is Optimal for k-cut. - Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López:
Active Learning for Deep Detection Neural Networks. - Sebin Gracy, Philip E. Pare, Henrik Sandberg, Karl Henrik Johansson:
Mutating Epidemic Processes Over Time-Varying Networks in Discrete-Time. - Jekishan K. Parmar, Ankit Desai:
Feature Extraction in Augmented Reality. - Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer:
Scalable and Generalizable Social Bot Detection through Data Selection. - Christopher A. George, Bradley M. West:
Localized Compression: Applying Convolutional Neural Networks to Compressed Images. - Ravid Shwartz-Ziv, Alexander A. Alemi:
Information in Infinite Ensembles of Infinitely-Wide Neural Networks. - Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston:
Generating Interactive Worlds with Text. - James Davis:
Do top conferences contain well cited papers or junk? - Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. - Danilo Dominguez Perez, Wei Le:
Testing Criteria for Mobile Apps Based on Callback Sequences. - Jiongchao Jin, Akshay Gadi Patil, Hao (Richard) Zhang:
DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction. - Margarida Carvalho, Andrea Lodi:
Game theoretical analysis of Kidney Exchange Programs. - Suyash Gupta, Sajjad Rahnama, Mohammad Sadoghi:
Permissioned Blockchain Through the Looking Glass: Architectural and Implementation Lessons Learned. - Saba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan Boneh:
Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy. - Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi:
REVAMP2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking. - Yifeng Gao, Jessica Lin:
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. - Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl:
Integrating Automated Play in Level Co-Creation. - Robert W. Anderson, Julian Andrej, Andrew T. Barker, Jamie A. Bramwell, Jean-Sylvain Camier, Jakub Cervený, Veselin Dobrev, Yohann Dudouit, Aaron Fisher, Tzanio V. Kolev, Will Pazner, Mark Stowell, Vladimir Z. Tomov, Johann Dahm, David S. Medina, Stefano Zampini:
MFEM: a modular finite element methods library. - Lehilton Lelis Chaves Pedrosa, Hugo Kooki Kasuya Rosado:
A 2-approximation for the k-prize-collecting Steiner tree problem. - Saba Eskandarian, Mihai Christodorescu, Payman Mohassel:
Privacy-Preserving Payment Splitting. - Kuangxiao Gu, Yuqian Zhou, Thomas S. Huang:
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis. - Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens:
Unsupervised Object Segmentation with Explicit Localization Module. - Atsushi Masumori, Lana Sinapayen, Takashi Ikegami:
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks. - Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield:
Camera-to-Robot Pose Estimation from a Single Image. - José Eduardo Carvajal-Rubio, Juan Diego Sanchez-Torres, Michael Defoort, Alexander G. Loukianov:
On the Discretization of Robust Exact Filtering Differentiators. - Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay:
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. - Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model Predictive Control for Linear Systems. - Ugo Rosolia, Francesco Borrelli:
Minimum Time Learning Model Predictive Control. - Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. - Son Doan, Amanda Ritchart, Nicholas Perry, Juan D. Chaparro, Mike Conway:
How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. - Ya Wang, Dongliang He, Fu Li, Xiang Long, Zhichao Zhou, Jinwen Ma, Shilei Wen:
Multi-Label Classification with Label Graph Superimposing. - Diogo C. Luvizon, Hedi Tabia, David Picard:
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates. - Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. - Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. - Andrew Hryniowski, Alexander Wong:
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions. - Jiajing Wu, Qi Yuan, Dan Lin, Wei You, Weili Chen, Chuan Chen, Zibin Zheng:
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding. - Yao Sun, Aayush Rajasekaran:
An Interleaving Hybrid Consensus Protocol. - Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. - Ceyuan Yang, Yujun Shen, Bolei Zhou:
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis. - Bryan Li, Xinyue Wang, Homayoon S. M. Beigi:
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin. - Alexander Levine, Soheil Feizi:
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. - Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung:
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems. - Alexander Kurganov, Yongle Liu, Vladimir Zeitlin:
A Well-Balanced Central-Upwind Scheme for the Thermal Rotating Shallow Water Equations. - Guang Jiang, Mengzhen Shi, Ying Su, Pengcheng An, Yunlong Wang:
NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names. - Boseong Jeon, H. Jin Kim:
Integrated Motion Planner for Real-time Aerial Videography with a Drone in a Dense Environment. - Abhijit Suprem, Calton Pu:
Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources. - Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen:
Nonlinear Covariance Control via Differential Dynamic Programming. - Nafees U. Ahmed, Klaus Mueller:
EnergyScout: A Consumer Oriented Dashboard for Smart Meter Data Analytics. - Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin:
Band-limited Training and Inference for Convolutional Neural Networks. - Tal Golan, Prashant C. Raju, Nikolaus Kriegeskorte:
Controversial stimuli: pitting neural networks against each other as models of human recognition. - Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-scale Multi-view Subspace Clustering in Linear Time. - Pablo Samuel Castro:
Scalable methods for computing state similarity in deterministic Markov Decision Processes. - Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan:
Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT. - Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric T. Heim, Howie Choset, Matthew E. Gaston:
xBD: A Dataset for Assessing Building Damage from Satellite Imagery. - Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. - Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou:
Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset. - Nishi Doshi, Gitam Shikkenawis, Suman K. Mitra:
Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks. - Hang Jiang, Xianzhe Zhang, Jinho D. Choi:
Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings. - Hung Dang, Ee-Chien Chang:
Self-Expiring Data Capsule using Trusted Execution Environment. - Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu:
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. - Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. - Tianwei Zhang, Jun Jiang, Yinqian Zhang:
Revisiting and Evaluating Software Side-channel Vulnerabilities and Countermeasures in Cryptographic Applications. - Zhenyu Wu, Mingxing Wen, Guohao Peng, Xiaoyu Tang, Danwei Wang:
Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization. - Alberto Barbado, Óscar Corcho:
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM. - Zhijie Chen, Bo Yang, Cailian Chen, Xinping Guan:
A Pre-Allocation Design for Cost Minimization and Delay Constraint in Vehicular Offloading System. - Hyunjong Park, Bumsub Ham:
Relation Network for Person Re-identification. - Son Doan, Mike Conway, Nigel Collier:
An Empirical Study of Sections in Classifying Disease Outbreak Reports. - Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. - Minje Park:
Data Proxy Generation for Fast and Efficient Neural Architecture Search. - Yafeng Liu, Tian Chen, Zhongyu Liu, Lei Zhang, Yanjun Hu, Enjie Ding:
Simultaneous Implementation Features Extraction and Recognition Using C3D Network for WiFi-based Human Activity Recognition. - Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung:
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. - Lavish Saluja, Ashutosh Bhatia:
Zero Knowledge Proof based authentication protocol using graph isomorphism. - Zewei Sun, Shujian Huang, Hao-Ran Wei, Xin-Yu Dai, Jiajun Chen:
Generating Diverse Translation by Manipulating Multi-Head Attention. - Tianyi Li, Sujian Li:
Incorporating Textual Evidence in Visual Storytelling. - Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang:
Multi-objective Neural Architecture Search via Predictive Network Performance Optimization. - Chuyuan Xiong, Deyuan Zhang, Tao Liu, Xiaoyong Du:
Voice-Face Cross-modal Matching and Retrieval: A Benchmark. - Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Emotion Recognition for Vietnamese Social Media Text. - Weizhu Qian, Fabrice Lauri, Franck Gechter:
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints. - Nayyer Aafaq, Naveed Akhtar, Wei Liu, Ajmal Mian:
Empirical Autopsy of Deep Video Captioning Frameworks. - Yun Fan, Hualu Liu:
Z2Z4-Additive Cyclic Codes Are Asymptotically Good. - Weizhu Qian, Fabrice Lauri, Franck Gechter:
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data. - Mustafa Canim, Cristina Cornelio, Arun Iyengar, Ryan Musa, Mariano Rodriguez-Muro:
Schemaless Queries over Document Tables with Dependencies. - Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
Controlling Interactions with Libraries in Android Apps Through Runtime Enforcement. - Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai:
Gliding vertex on the horizontal bounding box for multi-oriented object detection. - Guang Liu, Xiaojie Wang, Ruifan Li:
Multi-Scale RCNN Model for Financial Time-series Classification. - Pierre-François Marteau:
On the separation of shape and temporal patterns in time series -Application to signature authentication-. - Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson:
Generalized Planning with Positive and Negative Examples. - José Fuentes-Sepúlveda, Susana Ladra:
Energy consumption in compact integer vectors: A study case. - Zeyi Wen, Zeyu Huang, Rui Zhang:
Entity Extraction with Knowledge from Web Scale Corpora. - Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. - Robert Bredereck, Klaus Heeger, Dusan Knop, Rolf Niedermeier:
Parameterized Complexity of Stable Roommates with Ties and Incomplete Lists Through the Lens of Graph Parameters. - Jana Korunovska, Bernadette Kamleitner, Sarah Spiekermann:
The Power and Pitfalls of Transparent Privacy Policies in Social Networking Service Platforms. - Marco Mobilio, Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
FILO: FIx-LOcus Recommendation for Problems Caused by Android Framework Upgrade. - Yanting Pei, Yaping Huang, Xingyuan Zhang:
Classification-driven Single Image Dehazing. - Eivind Bøhn, Signe Moe, Tor Arne Johansen:
Accelerating Reinforcement Learning with Suboptimal Guidance. - Martín Barrère, Chris Hankin, Demetrios G. Eliades, Nicolas Nicolaou, Thomas Parisini:
Assessing Cyber-Physical Security in Industrial Control Systems. - Yunteng Luan, Hanyu Zhao, Zhi Yang, Yafei Dai:
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks. - Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang:
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. - Christos Psarras, Henrik Barthels, Paolo Bientinesi:
The Linear Algebra Mapping Problem. - Pengcheng Zhang, Feng Xiao, Xiapu Luo:
SolidityCheck : Quickly Detecting Smart Contract Problems Through Regular Expressions. - Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo:
Accurate Hydrologic Modeling Using Less Information. - Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding:
Visual Tactile Fusion Object Clustering. - Thomas Demeester:
System Identification with Time-Aware Neural Sequence Models. - Ferenc Béres, István András Seres, András A. Benczúr:
A Cryptoeconomic Traffic Analysis of Bitcoins Lightning Network. - Jianwei Zhao, Qi Dong, Yanjie Zhao, Bolei Wang, Feifei Gao:
Time Varying Channel Tracking for Multi-UAV Wideband Communications with Beam Squint. - Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu:
TEINet: Towards an Efficient Architecture for Video Recognition. - Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces. - Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Approximated Orthonormal Normalisation in Training Neural Networks. - Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
S-RASTER: Contraction Clustering for Evolving Data Streams. - Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-box Adversarial Attacks on Video Recognition Models. - Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. - Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai:
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application. - Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-armed Bandit with Pre-observations. - Frédéric Voisin:
Designing Virtual Soundscapes for Alzheimer's Disease Care. - David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan:
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. - Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xiansheng Hua:
Quantization Networks. - Mohammad H. Mamduhi, Ehsan Hashemi, John S. Baras, Karl Henrik Johansson:
Event-triggered Add-on Safety for Connected and Automated Vehicles Using Road-side Network Infrastructure. - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. - Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. - Victor Petrén Bach Hansen, Anders Søgaard:
What Do You Mean 'Why?': Resolving Sluices in Conversations. - Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo:
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. - Christoph Gote, Ingo Scholtes, Frank Schweitzer:
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net. - Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge. - Martin Aleksandrov, Toby Walsh:
Online Fair Division: A Survey. - Samuel Sepúlveda, Mauricio Diéguez, Gonzalo Farias, Cristina Cachero:
Systematic literature review protocol. Learning-outcomes and teaching-learning process: a Bloom's taxonomy perspective. - José Fuentes-Sepúlveda, Gonzalo Navarro, Diego Seco:
Implementing the Topological Model Succinctly. - Matteo Tacchi, Carmen Cardozo, Didier Henrion, Jean B. Lasserre:
Approximating regions of attraction of a sparse polynomial differential system. - Mina Remeli, Szilvia Lestyan, Gergely Ács, Gergely Biczók:
Automatic Driver Identification from In-Vehicle Network Logs. - Luiz A. Zanlorensi, Diego Rafael Lucio, Alceu S. Britto Jr., Hugo Proença, David Menotti:
Deep Representations for Cross-spectral Ocular Biometrics. - Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. - Sandeep Nallan Chakravarthula, Brian R. Baucom, Shrikanth S. Narayanan, Panayiotis G. Georgiou:
An analysis of observation length requirements in spoken language for machine understanding of human behaviors. - Songtao Liu, Di Huang, Yunhong Wang:
Learning Spatial Fusion for Single-Shot Object Detection. - Arjun Krishna, A. S. Akil Arif Ibrahim:
Video Segment Copy Detection Using Memory Constrained Hierarchical Batch-Normalized LSTM Autoencoder. - Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier:
Towards FAIR protocols and workflows: The OpenPREDICT case study. - Juntao Yu, Alexandra Uma, Massimo Poesio:
A Cluster Ranking Model for Full Anaphora Resolution. - Xihui Chen, Ema Këpuska, Sjouke Mauw, Yunior Ramírez-Cruz:
Active Re-identification Attacks on Periodically Released Dynamic Social Graphs. - Siddharth Ghiya, Oluwafemi Azeez, Brendan Miller:
Agent Probing Interaction Policies. - Abeer ElBahrawy, Laura Alessandretti, Leonid Rusnac, Daniel Goldsmith, Alexander Teytelboym, Andrea Baronchelli:
Collective Dynamics of Dark Web Marketplaces. - Jindong Gu, Volker Tresp:
Neural Network Memorization Dissection. - André Hottung, Kevin Tierney:
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. - Meng Cai, Siqing Gan, Xiaojie Wang:
Weak convergence rates for an explicit full-discretization of stochastic Allen-Cahn equation with additive noise. - Martin Neumüller, Martin Schwalsberger:
A parallel space-time multigrid method for the eddy-current equation. - Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu:
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting. - Dávid Visontai, József Stéger, János Márk Szalai-Gindl, László Dobos, László Oroszlány, István Ervin Csabai:
Kooplex: collaborative data analytics portal for advancing sciences. - Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning Over Graphs. - Jed A. Duersch, Thomas A. Catanach:
Generalizing Information to the Evolution of Rational Belief. - Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath:
Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means. - Leonardo Mariani, Mauro Pezzè, Oliviero Riganelli, Rui Xin:
Predicting Failures in Multi-Tier Distributed Systems. - Kwang-Sung Jun, Francesco Orabona:
Parameter-Free Locally Differentially Private Stochastic Subgradient Descent. - Cassie Meeker, Maximilian Haas-Heger, Matei T. Ciocarlie:
A Continuous Teleoperation Subspace with Empirical and Algorithmic Mapping Algorithms for Non-Anthropomorphic Hands. - Wenxin Hu, Xiaofeng Zhang, Gang Yang:
Automatically Generating Macro Research Reports from a Piece of News. - Guerrino Mazzarolo, Anca Delia Jurcut:
Insider threats in Cyber Security: The enemy within the gates. - Gordon MacDonald, Andrew Godbout, Bryn Gillcash, Stephanie Cairns:
Volume-preserving Neural Networks: A Solution to the Vanishing Gradient Problem. - Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. - Opeyemi S. Orioke, Tauhidul Alam, Joseph Quinn, Ramneek Kaur, Wesam H. Al-Sabban, Leonardo Bobadilla, Ryan N. Smith:
Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles. - Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. - Micky Faas, Matthijs van Leeuwen:
Vouw: Geometric Pattern Mining using the MDL Principle. - Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Jesús Malo, Marcelo Bertalmío:
Synthesizing Visual Illusions Using Generative Adversarial Networks. - David Harwath, Wei-Ning Hsu, James R. Glass:
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech. - Abdulhameed Qahtan Abbood Altai:
Trotter Kato Theorem for Bi Continuous Semigroups and Approximation of PDEs. - Aryabrata Basu:
A brief chronology of Virtual Reality. - Guilherme F. Lima, Rodrigo Costa, Márcio Ferreira Moreno:
An Introduction to Artificial Intelligence Applied to Multimedia. - Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath:
Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control. - Minah Oh:
Multigrid in H(div) on Axisymmetric Domains. - Alejandro Allendes, Francisco Fuica, Enrique Otárola, Daniel Quero:
A posteriori error estimates for semilinear optimal control problems. - Paola Pozzi, Björn Stinner:
A converging finite element scheme for motion by curvature of a network with a triple junction. - Hooman Mohajeri Moghaddam, Arsalan Mosenia:
Anonymizing Masses: Practical Light-weight Anonymity at the Network Level. - Siddharth Gururani, Kilol Gupta, Dhaval Shah, Zahra Shakeri, Jervis Pinto:
Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features. - Luiz A. Zanlorensi, Rayson Laroca, Eduardo José da S. Luz, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti:
Ocular Recognition Databases and Competitions: A Survey. - Lukas Gonon, Philipp Grohs, Arnulf Jentzen, David Kofler, David Siska:
Uniform error estimates for artificial neural network approximations for heat equations. - Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. - Rajesh Chitnis, Graham Cormode:
Towards a Theory of Parameterized Streaming Algorithms. - Oluwafemi Azeez:
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation. - Haytham M. Fayek, Justin Johnson:
Temporal Reasoning via Audio Question Answering. - Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing:
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning. - Sam Witteveen, Martin Andrews:
Paraphrasing with Large Language Models. - Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. - Chenglong Wang, Yu Feng, Rastislav Bodík, Alvin Cheung, Isil Dillig:
Visualization by Example. - Alex Labach, Shahrokh Valaee:
Regularizing Neural Networks by Stochastically Training Layer Ensembles. - Guy E. Blelloch, Yuanhao Wei:
LL/SC and Atomic Copy: Constant Time, Space Efficient Implementations using only pointer-width CAS. - Pratyusha Sharma, Deepak Pathak, Abhinav Gupta:
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. - Charles X. Ling, Tanner A. Bohn:
A Unified Framework for Lifelong Learning in Deep Neural Networks. - Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang:
Automatically Neutralizing Subjective Bias in Text. - Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu:
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. - Thomas R. Groechel, Zhonghao Shi, Roxanna Pakkar, Maja J. Mataric:
Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots. - Yun Chen, Xingqin Lin, Talha Khan, Mohammad Mozaffari:
Efficient Drone Mobility Support Using Reinforcement Learning. - Sumaya Almanee, Mathias Payer, Joshua Garcia:
Too Quiet in the Library: A Study of Native Third-Party Libraries in Android. - Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran:
Communication-Efficient and Byzantine-Robust Distributed Learning. - Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. - Xinyi Wang, Jason Weston, Michael Auli, Yacine Jernite:
Improving Conditioning in Context-Aware Sequence to Sequence Models. - Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. - Son Doan, Quoc Hung Ngo, Ai Kawazoe, Nigel Collier:
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases. - Saurabh Singh, Shankar Krishnan:
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. - Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Rethinking Normalization and Elimination Singularity in Neural Networks. - Yu Ye, Hao Chen, Zheng Ma, Ming Xiao:
Decentralized Consensus Optimization Based on Parallel Random Walk. - Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut:
Reinforcing an Image Caption Generator Using Off-Line Human Feedback. - Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models. - Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé:
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. - Eun Kyong Shin, Youngsang Kwon, Arash Shaban-Nejad:
Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. - Ruqi Zhang, Christopher De Sa:
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees. - Pierre-Jean Meyer, He Yin, Astrid H. Brodtkorb, Murat Arcak, Asgeir J. Sørensen:
Continuous and discrete abstractions for planning, applied to ship docking. - Pierre-Jean Meyer, Murat Arcak:
Interval Reachability Analysis using Second-Order Sensitivity. - Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. - Lu Jiang, Di Huang, Weilong Yang:
Synthetic vs Real: Deep Learning on Controlled Noise. - Jonathan Connell:
Verbal Programming of Robot Behavior. - Amir Zadeh, Tianjun Ma, Soujanya Poria, Louis-Philippe Morency:
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation. - Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram E. Shi:
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition. - David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel:
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. - Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. - Yuming Shang:
Are Noisy Sentences Useless for Distant Supervised Relation Extraction? - Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-level Dependencies for Robust Word Recognition. - Jiahua Chen, Aneesha Manne, Rebecca Mendum, Poonam Sahoo, Alicia Yang:
Minority Voter Distributions and Partisan Gerrymandering. - Anum Ali, Nuria González Prelcic, Robert W. Heath Jr., Amitava Ghosh:
Leveraging Sensing at the Infrastructure for mmWave Communication. - Sebastian Bruch:
An Alternative Cross Entropy Loss for Learning-to-Rank. - Sonali Patil, Tanmay Prakash, Bharath Comandur, Avinash C. Kak:
A Comparative Evaluation of SGM Variants (including a New Variant, tMGM) for Dense Stereo Matching. - Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. - Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang:
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. - Dario Paccagnan, Rahul Chandan, Bryce L. Ferguson, Jason R. Marden:
Incentivizing efficient use of shared infrastructure: Optimal tolls in congestion games. - Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith Chinthana Ranasinghe:
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object. - Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro, Arnab Roy:
On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware. - M. Saiful Bari, Shafiq R. Joty, Prathyusha Jwalapuram:
Zero-Resource Cross-Lingual Named Entity Recognition. - Haris Aziz, Hau Chan, Barton E. Lee, Bo Li, Toby Walsh:
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. - Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku:
Crowd Density Forecasting by Modeling Patch-based Dynamics. - Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee:
When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima? - Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Weidong Zhang:
Graph Pruning for Model Compression. - Jing Pan, Weian Sheng, Santanu Dey:
Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec. - Canran Xu, Ming Wu:
Learning Feature Interactions with Lorentzian Factorization Machine. - Shengwen Yang, Bing Ren, Xuhui Zhou, Liping Liu:
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator. - Amir Zadeh, Chengfeng Mao, Kelly Shi, Yiwei Zhang, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency:
Factorized Multimodal Transformer for Multimodal Sequential Learning. - Xinglong Zhang, Jiahang Liu, Xin Xu, Hong Chen:
Robust Learning-based Predictive Control for Constrained Nonlinear Systems. - Hasan Al Maruf, Mosharaf Chowdhury:
Effectively Prefetching Remote Memory with Leap. - Tianyang Zhang, Rui Ma:
Identify the cells' nuclei based on the deep learning neural network. - Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han:
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. - Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang:
Differentiable Algorithm for Marginalising Changepoints. - Mohammad Hamed Mozaffari, Won-Sook Lee:
Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach. - Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee:
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach. - Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. - Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi:
A Discrete CVAE for Response Generation on Short-Text Conversation. - Yuxiao Liu, Yi Wang, Pei Yong, Ning Zhang, Chongqing Kang, Dan Lu:
Fast Power System Cascading Failure Path Searching with High Wind Power Penetration. - Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella:
Archipelago: A Scalable Low-Latency Serverless Platform. - Haris Aziz:
Developments in Multi-Agent Fair Allocation. - Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers:
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. - Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj:
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. - Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi:
Data Programming using Continuous and Quality-Guided Labeling Functions. - Di Deng, Wei Jing, Yuhe Fu, Ziyin Huang, Jiahong Liu, Kenji Shimada:
Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage. - Chunming Tang, Yan Qiu, Qunying Liao, Zhengchun Zhou:
Full Characterization of Minimal Linear Codes as Cutting Blocking Sets. - Kyung Ho Park, Huy Kang Kim:
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks. - Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. - Amit Daniely:
Neural Networks Learning and Memorization with (almost) no Over-Parameterization. - Evgeny V. Tsykunov, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Taha K. Moriyama, Hiroyuki Kajimoto, Dzmitry Tsetserukou:
SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms. - Fereshte Khani, Percy Liang:
Noise Induces Loss Discrepancy Across Groups for Linear Regression. - Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. - Arpit Bansal, Sankaraganesh Jonna, Rajiv R. Sahay:
PAG-Net: Progressive Attention Guided Depth Super-resolution Network. - Saurabh Khanna, Vincent Y. F. Tan:
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality. - Marcel Kneib, Oleg Schell, Christopher Huth:
On the Robustness of Signal Characteristic-Based Sender Identification. - Nikki Lijing Kuang, Clement H. C. Leung:
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. - Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong:
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features. - Tapas Nayak, Hwee Tou Ng:
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction. - Kristóf Bérczi, André Berger, Matthias Mnich, Roland Vincze:
Degree-Bounded Generalized Polymatroids and Approximating the Metric Many-Visits TSP. - Nikki Lijing Kuang, Clement H. C. Leung:
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm. - Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee:
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition. - Robert X. D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman:
Continual adaptation for efficient machine communication. - Hilmi Bahadir Temur, Ahmet Serdar Yilmaz, Mehmet Tekerek:
Knowledge Network and a Knowledge Network Example. - Rumeysa Bulut, Alperen Kantarci, Safa Keskin, Serif Bahtiyar:
Blockchain-Based Electronic Voting System for Elections in Turkey. - Weizhu Qian, Fabrice Lauri, Franck Gechter:
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition. - Matthias A. Müller:
Dissipativity in economic model predictive control: beyond steady-state optimality. - Julien Bensmail, Sandip Das, Soumen Nandi, Théo Pierron, Soumyajit Paul, Sagnik Sen, Éric Sopena:
Pushable chromatic number of graphs with degree constraints. - Monimoy Bujarbaruah, Akhil Shetty, Kameshwar Poolla, Francesco Borrelli:
Learning Robustness with Bounded Failure: An Iterative MPC Approach. - Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu:
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. - R. Q. Wang, Z. Q. Yuan, G. H. Chen:
Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment. - Fabrizio Borgia, Claudia S. Bianchini, Patrice Dalle, Maria De Marsico:
Resource production of written forms of Sign Languages by a user-centered editor, SWift (SignWriting improved fast transcriber). - Claudia S. Bianchini, Fabrizio Borgia, Maria De Marsico:
SWift - A SignWriting editor to bridge between deaf world and e-learning. - Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Charles Wright, Colin Schmidt, Jerry Zhao, Albert J. Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic:
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. - Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. - Yunfei Liu, Yu Li, Shaodi You, Feng Lu:
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image. - Jiang Zhu, Zhennan Liu, Qi Zhang, Chunyi Song, Zhiwei Xu:
Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning. - Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong:
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation. - Andreas Lenz, Cyrus Rashtchian, Paul H. Siegel, Eitan Yaakobi:
Covering Codes for Insertions and Deletions. - Chaitanya Joshi, David Ríos Insua, Jesus Rios:
Insider threat modeling: An adversarial risk analysis approach. - Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe:
Actively Learning Gaussian Process Dynamics. - He-Feng Yin, Xiao-Jun Wu:
Class-specific residual constraint non-negative representation for pattern classification. - Onur Ayan, H. Murat Gürsu, Arled Papa, Wolfgang Kellerer:
Probability Analysis of Age of Information in Multi-hop Networks. - Slawomir Konrad Tadeja, Wojciech Rydlewicz, Yupu Lu, Per Ola Kristensson, Tomasz Bubas, Maciej Rydlewicz:
PhotoTwinVR: An Immersive System for Manipulation, Inspection and Dimension Measurements of the 3D Photogrammetric Models of Real-Life Structures in Virtual Reality. - Barak Itkin, Lior Wolf, Nachum Dershowitz:
Computational Ceramicology. - Pilhyeon Lee, Youngjung Uh, Hyeran Byun:
Background Suppression Network for Weakly-supervised Temporal Action Localization. - Célestin Matte, Nataliia Bielova, Cristiana Santos:
Do Cookie Banners Respect my Choice? Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Framework. - Felipe Gómez-Cuba, Mainak Chowdhury, Alexandros Manolakos, Elza Erkip, Andrea J. Goldsmith:
Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel. - Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation. - Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. - Felipe Gómez-Cuba, Andrea J. Goldsmith:
Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains. - Lutz Prechelt:
Four presumed gaps in the software engineering research community's knowledge. - Martin Azkarate, Levin Gerdes, Luc Joudrier, Carlos Jesús Pérez-del-Pulgar:
A GNC Architecture for Planetary Rovers with Autonomous Navigation Capabilities. - Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Instance Cross Entropy for Deep Metric Learning. - Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi:
Artificial neural networks in action for an automated cell-type classification of biological neural networks. - Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. - Pablo D. Brubeck, Yuji Nakatsukasa, Lloyd N. Trefethen:
Vandermonde with Arnoldi. - Menatallh Hammad, May Hammad, Mohamed Elshenawy:
Characterizing the impact of using features extracted from pre-trained models on the quality of video captioning sequence-to-sequence models. - Moshe Babaioff, Noam Nisan, Inbal Talgam-Cohen:
Competitive Equilibrium with Generic Budgets: Beyond Additive. - Vinay Annam, Nikhil Koditala, Radhika Mamidi:
Anaphora Resolution in Dialogue Systems for South Asian Languages. - Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-label Classification. - He-Feng Yin, Xiao-Jun Wu, Sugen Chen:
Locality Constraint Dictionary Learning with Support Vector for Pattern Classification. - Nurul Huda Mahmood, Hirley Alves:
Dynamic Multi-Connectivity Activation for Ultra-Reliable and Low-Latency Communication. - Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas S. Kruthiventi, Harikrishna Muralidhara:
Attack Agnostic Statistical Method for Adversarial Detection. - Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu, Gang Huang:
Bribery in Rating System: A Game-Theoretic Perspective. - Mateusz Juda:
Unsupervised Features Learning for Sampled Vector Fields. - Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona, Simone Calderara:
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs. - Carlos Galindo, Fernando Hernando, Ryutaroh Matsumoto, Diego Ruano:
Asymmetric entanglement-assisted quantum error-correcting codes and BCH codes. - Adrian Lopez Rodriguez, Krystian Mikolajczyk:
Domain Adaptation for Object Detection via Style Consistency. - Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov:
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution. - Earnest Paul Ijjina, Dhananjai Chand, Savyasachi Gupta, Goutham K:
Computer Vision-based Accident Detection in Traffic Surveillance. - Matej Ulcar, Marko Robnik-Sikonja:
Multilingual Culture-Independent Word Analogy Datasets. - Shashank Srivastava, Murali Damodaran, Boo Cheong Khoo:
Machine Learning Surrogates for Predicting Response of an Aero-Structural-Sloshing System. - Sven Kluge, Stefan Gladisch, Uwe Freiherr von Lukas, Oliver G. Staadt, Christian Tominski:
Virtual Lenses as Embodied Tools for Immersive Analytics. - Matej Ulcar, Marko Robnik-Sikonja:
High Quality ELMo Embeddings for Seven Less-Resourced Languages. - Santiago Paternain, Manfred Morari, Alejandro Ribeiro:
A Prediction-Correction Algorithm for Real-Time Model Predictive Control. - Dmitry Gnatyshak, Luis Oliva Felipe, Sergio Álvarez-Napagao, Julian A. Padget, Javier Vázquez-Salceda, Dario Garcia-Gasulla, Ulises Cortés:
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing. - Mandy Xie, Frank Dellaert:
A Unified Method for Solving Inverse, Forward, and Hybrid Manipulator Dynamics using Factor Graphs. - Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. - Abolfazl Asudeh, H. V. Jagadish:
Responsible Scoring Mechanisms Through Function Sampling. - Mariane Maynard, Thibault Duhamel, Froduald Kabanza:
Cost-Based Goal Recognition Meets Deep Learning. - Ferenc Bálint-Benczédi, Jan-Hendrik Worch, Daniel Nyga, Nico Blodow, Patrick Mania, Zoltán-Csaba Márton, Michael Beetz:
RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks. - Taha Ceritli, Christopher K. I. Williams, James Geddes:
ptype: Probabilistic Type Inference. - Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen:
Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder. - Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime G. Carbonell:
Optimizing Data Usage via Differentiable Rewards. - Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia:
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge. - Yucheng Zhu, Yanrong Ji, Yueying Zhang, Linxin Xu, Aven Le Zhou, Ellick Chan:
Machine: The New Art Connoisseur. - Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns:
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems. - Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. - Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. - Sean A. Weaver, Marijn Heule:
Constructing Minimal Perfect Hash Functions Using SAT Technology. - Rui Zhang, Quanyan Zhu:
FlipIn: A Game-Theoretic Cyber Insurance Framework for Incentive-Compatible Cyber Risk Management of Internet of Things. - Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor:
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods. - Sudarshan Guruacharya, Xiao Lu, Ekram Hossain:
Optimal Non-Coherent Detector for Ambient Backscatter Communication System. - Benjamin D. Steel:
Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer. - Lutz Kämmerer, Tino Ullrich, Toni Volkmer:
Worst case recovery guarantees for least squares approximation using random samples. - Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
DL-Droid: Deep learning based android malware detection using real devices. - Chiranjib Sur:
TPsgtR: Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning. - Omar Peracha, Shawn Head:
GANkyoku: a Generative Adversarial Network for Shakuhachi Music. - Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé:
Thompson Sampling for Factored Multi-Agent Bandits. - Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé:
Fleet Control using Coregionalized Gaussian Process Policy Iteration. - Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier:
Technical report: supervised training of convolutional spiking neural networks with PyTorch. - Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan:
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks. - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis. - Amey Parundekar, Susan Elias, Ashwin Ashok:
A Data Set of Internet Claims and Comparison of their Sentiments with Credibility. - Chiranjib Sur:
CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation - A Generalization of Bi Directional LSTM. - Thibault Duhamel, Mariane Maynard, Froduald Kabanza:
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features. - Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer:
Privately Learning Thresholds: Closing the Exponential Gap. - Qiao Chen, Aditi Ghai, Xiangmin Jiao:
HILUCSI: Simple, Robust, and Fast Multilevel ILU with Mixed Symmetric and Unsymmetric Processing. - Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. - Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. - Camilo Miguel Signorelli, Xerxes D. Arsiwalla:
Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition. - Hermann G. Matthies, Roger Ohayon:
Parametric Models Analysed with Linear Maps. - Jacob Rafati, David C. Noelle:
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning. - Marco Avella-Medina:
Privacy-preserving parametric inference: a case for robust statistics. - Yang Cai, Argyris Oikonomou, Grigoris Velegkas, Mingfei Zhao:
An Efficient ε-BIC to BIC Transformation and Its Application to Black-Box Reduction in Revenue Maximization. - Jirí Mazurek, Konrad Kulakowski:
Satisfaction of the Condition of Order Preservation: A Simulation Study. - Zhangxiaowen Gong, Houxiang Ji, Christopher W. Fletcher, Christopher J. Hughes, Josep Torrellas:
SparseTrain: Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors. - Daniel Roth, Marc Erich Latoschik:
Construction of a Validated Virtual Embodiment Questionnaire. - Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets. - Gabriele Pergola, Yulan He, David Lowe:
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. - Philip N. Brown, Jason R. Marden:
Can Taxes Improve Congestion on All Networks? - Jon Vadillo, Roberto Santana:
Universal adversarial examples in speech command classification. - Edwin Simpson, Yang Gao, Iryna Gurevych:
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. - Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Patrick D. McDaniel, Engin Kirda, A. Selcuk Uluagac:
Multi-User Multi-Device-Aware Access Control System for Smart Home. - Erica Blum, Aggelos Kiayias, Cristopher Moore, Saad Quader, Alexander Russell:
Linear Consistency for Proof-of-Stake Blockchains. - Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. - Yen-Lung Lai:
Secure Sketch for All Noisy Sources. - Jacopo Pantaleoni:
Importance Sampling of Many Lights with Reinforcement Lightcuts Learning. - Kevin Mallery, Dario Canelon, Jiarong Hong, Nikolaos Papanikolopoulos:
Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements. - Amit Pande, Kai Ni, Venkataramani Kini:
SWAG: Item Recommendations using Convolutions on Weighted Graphs. - Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng:
Improving N-gram Language Models with Pre-trained Deep Transformer. - Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. - Peter Coogan, Robert C. Kirby:
Optimal-order preconditioners for the Morse-Ingard equations. - Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm:
ViewSynth: Learning Local Features from Depth using View Synthesis. - Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. - Sahil Singla, Soheil Feizi:
Bounding Singular Values of Convolution Layers. - Sofiat Olaosebikan, David F. Manlove:
An Algorithm for Strong Stability in the Student-Project Allocation Problem with Ties. - Amanda Bouman, Paul Nadan, Matthew Anderson, Daniel Pastor, Jacob Izraelevitz, Joel Burdick, Brett Kennedy:
Design and Autonomous Stabilization of a Ballistically Launched Multirotor. - Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. - Jacob Austin, Rafael Corrales-Fatou, Sofia Wyetzner, Hod Lipson:
Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA. - Bianca Giovanardi, Santiago Serebrinsky, Raúl A. Radovitzky:
A fully-coupled computational framework for large-scale simulation of fluid-driven fracture propagation on parallel computers. - Lirui Wang, Yu Xiang, Dieter Fox:
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection. - Saad Alqithami, Musaad Alzahrani, Fahad Alghamdi, Rahmat Budiarto, Henry Hexmoor:
A Measurement of Social Capital in an Open Source Software Project. - Sangwoon Kim, David Donghyun Kim, Brian W. Anthony:
Dynamic Control of a Fiber Manufacturing Process using Deep Reinforcement Learning. - Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon:
Training Modern Deep Neural Networks for Memory-Fault Robustness. - Vo Anh Khoa, Michael Victor Klibanov, Loc Hoang Nguyen:
Convexification for a 3D inverse scattering problem with the moving point source. - Sam Kriegman, Amir Mohammadi Nasab, Dylan S. Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh C. Bongard, Rebecca Kramer-Bottiglio:
Scalable sim-to-real transfer of soft robot designs. - Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa:
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference. - Jianguo Chen, Philip S. Yu:
A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution. - Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction using Trajectory Sets. - He-Feng Yin, Xiao-Jun Wu, Josef Kittler, Zhen-Hua Feng:
Learning a Representation with the Block-Diagonal Structure for Pattern Classification. - Samuel B. Hopkins, Tselil Schramm, Luca Trevisan:
Subexponential LPs Approximate Max-Cut. - Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. - Margaret Trautner, Sai Ravela:
Neural Integration of Continuous Dynamics. - Shijie Xu, Jiayan Fang, Xiang-Yang Li:
Weighted Laplacian and Its Theoretical Applications. - Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith Chinthana Ranasinghe, Hyoungshick Kim:
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. - Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra:
PlantDoc: A Dataset for Visual Plant Disease Detection. - Ana Maria Acu, Ioan Rasa:
Hypergeometric functions and moments of operators. - Juliano S. Assine, Alan Godoy, Eduardo Valle:
Compressing Representations for Embedded Deep Learning. - Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti:
Meta Adaptation using Importance Weighted Demonstrations. - Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang:
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. - Di Wu, Chao Wang, Yong Wu, De-Shuang Huang:
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification. - Pratik K. Bajaria, Sushama R. Wagh, Navdeep M. Singh:
Interarea Oscillations & Chimera in Power Systems. - K. S. Ajish Kumar, Deepak Rajendraprasad, K. S. Sudeep:
Oriented Diameter of Star Graphs. - Rolf Klein, David Kübel, Elmar Langetepe, Jörg-Rüdiger Sack, Barbara Schwarzwald:
A New Model in Firefighting Theory. - Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel:
Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations. - Zhe Zhang, Jie Tang, Gangshan Wu:
Simple and Lightweight Human Pose Estimation. - Dishank Yadav, Chaitanya Paikara:
Arsenal of Hardware Prefetchers. - Alexandr Naumchev:
Seamless Object-Oriented Requirements. - Kohei Uehara, Tatsuya Harada:
Unsupervised Keyword Extraction for Full-sentence VQA. - Huibing Wang, Yang Wang, Zhao Zhang, Xianping Fu, Meng Wang:
Kernelized Multiview Subspace Analysis by Self-weighted Learning. - Mohammad Hemmati, Behnam Mohammadi-Ivatloo, Alireza Soroudi:
Uncertainty Management in Power System Operation Decision Making. - Baran Alikoc, Kristian Hengster-Movric:
Robust cooperative synchronization of homogeneous agents with delays on directed communication graphs. - Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu:
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. - Tung-Wei Kuo, Kung Chen:
No Need for Recovery: A Simple Two-Step Byzantine Consensus. - Thiago Marcilon, Nicolas Almeida Martins, Rudini M. Sampaio:
Hardness of some variants of the graph coloring game. - Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. - Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-learning Model for Few-shot Semantic Segmentation. - Yongyu Wang, Zhiqiang Zhao, Zhuo Feng:
GRASPEL: Graph Spectral Learning at Scale. - Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu:
Region Normalization for Image Inpainting. - Elie M. Adam, Munther A. Dahleh:
On the Mathematical Structure of Cascade Effects and Emergent Phenomena. - Anil Yesilkaya, Rui Bian, Iman Tavakkolnia, Harald Haas:
OFDM-Based Optical Spatial Modulation. - Xi Chen, Chenghao Guo, Emmanouil V. Vlatakis-Gkaragkounis, Mihalis Yannakakis, Xinzhi Zhang:
Smoothed complexity of local Max-Cut and binary Max-CSP. - Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li:
Discourse Level Factors for Sentence Deletion in Text Simplification. - Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu:
Joint Parsing and Generation for Abstractive Summarization. - Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. - Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych:
When is ACL's Deadline? A Scientific Conversational Agent. - Yuqing Zhou, Tsuyoshi Nomura, Kazuhiro Saitou:
Anisotropic multicomponent topology optimization for additive manufacturing with build orientation design and stress-constrained interfaces. - Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. - Elie M. Adam, Munther A. Dahleh:
On the Abstract Structure of the Behavioral Approach to Systems Theory. - Oliver Karras, Kurt Schneider, Samuel A. Fricker:
Representing Software Project Vision by Means of Video: A Quality Model for Vision Videos. - Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis:
A Transformer-based approach to Irony and Sarcasm detection. - Elie M. Adam, Munther A. Dahleh:
Generativity and Interactional Effects: an Overview. - Matan Atzmon, Yaron Lipman:
SAL: Sign Agnostic Learning of Shapes from Raw Data. - Ziwen Chen, Wenxuan Wu, Zhongang Qi, Fuxin Li:
Visualizing Point Cloud Classifiers by Curvature Smoothing. - Ali Caner Türkmen, Yuyang Wang, Tim Januschowski:
Intermittent Demand Forecasting with Deep Renewal Processes. - Charles W. Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing:
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. - Yue Zhao, Maciej K. Hryniewicki:
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles. - Iris Hendrickx, Preslav Nakov, Stan Szpakowicz, Zornitsa Kozareva, Diarmuid Ó Séaghdha, Tony Veale:
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. - Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz:
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. - Nibraas Khan, Joshua L. Phillips:
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems. - Juncai He, Yuyan Chen, Jinchao Xu:
Constrained Linear Data-feature Mapping for Image Classification. - Thomas Hardjono, Alex Pentland:
Empowering Artists, Songwriters & Musicians in a Data Cooperative through Blockchains and Smart Contracts. - Brett A. Jefferson, Carlos Ortiz Marrero:
Robustness Metrics for Real-World Adversarial Examples. - Hannah Smith, Zeyu Zhang, John Culnan, Peter Jansen:
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition. - Daojian Zeng, Haoran Zhang, Qianying Liu:
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning. - (Withdrawn) Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings.
- Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su:
Normal Assisted Stereo Depth Estimation. - Björn Browatzki, Christian Wallraven:
3FabRec: Fast Few-shot Face alignment by Reconstruction. - Parham Noorzad, Michael Langberg, Michelle Effros:
Negligible Cooperation: Contrasting the Maximal- and Average-Error Cases. - Anwesan Pal, Sayan Mondal, Henrik I. Christensen:
"Looking at the right stuff" - Guided semantic-gaze for autonomous driving. - Lin Sok:
Construction of optimal Hermitian self-dual codes from unitary matrices. - Etienne Borde:
Architecture Models Refinements for Software Development of Critical Real-time Embedded Systems. - Md Umar Hashmi, Jonathan Cavaleiro, Lucas Pereira, Ana Busic:
Sizing and Profitability of Energy Storage for Prosumers in Madeira, Portugal. - Chao Zhai:
Dynamic Security Assessment of Small-Signal Stability for Power Systems using Windowed Online Gaussian Process. - Shizhe Chen, Bei Liu, Jianlong Fu, Ruihua Song, Qin Jin, Pingping Lin, Xiaoyu Qi, Chunting Wang, Jin Zhou:
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences. - Leonardo Babun, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac:
Real-time Analysis of Privacy-(un)aware IoT Applications. - Yidong Luo:
A Non-conditional Uniform Divergence Criteria of Projection Method for Compact Operator Equation. - Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. - Xinming Wang, Zhijian Xie, Jiahao He, Gansen Zhao, Ruihua Nie:
Basis Path Coverage Criteria for Smart Contract Application Testing. - Xinming Wang, Jiahao He, Zhijian Xie, Gansen Zhao, Shing-Chi Cheung:
ContractGuard: Defend Ethereum Smart Contracts with Embedded Intrusion Detection. - Jiancheng Yang, Xiaoyang Huang, Bingbing Ni, Jingwei Xu, Canqian Yang, Guozheng Xu:
Reinventing 2D Convolutions for 3D Medical Images. - Shiraj Arora, M. V. Panduranga Rao:
The Bouquet Algorithm for Model Checking Unbounded Until. - Yichi Zhang, Zhijian Ou, Zhou Yu:
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context. - Kristóf Bérczi, Tamás Schwarcz, Yutaro Yamaguchi:
List colouring of two matroids through reduction to partition matroids. - Alexander Spiegelman, Arik Rinberg:
ACE: Abstract Consensus Encapsulation for Liveness Boosting of State Machine Replication. - Anatoly B. Bakushinsky, Alexander S. Leonov:
To the numerical solution of the inverse multi-frequency scalar acoustics problem. - Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang:
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. - Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang:
Two Causal Principles for Improving Visual Dialog. - Jing Huang, Hengfeng Miao, Lin Li, Yuanqiao Wen, Changshi Xiao:
Deep Visual Waterline Detection within Inland Marine Environment. - Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Four accuracy bounds and one estimator for frequency estimation under local differential privacy. - Bernhard Schölkopf:
Causality for Machine Learning. - Rina Su, Qifu Tyler Sun, Zhongshan Zhang:
Delay-Complexity Trade-off of Random Linear Network Coding in Wireless Broadcast. - Ahnjae Shin, Dongjin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun:
Stage-based Hyper-parameter Optimization for Deep Learning. - Supriyo Ghosh, Patrick Jaillet:
An Iterative Security Game for Computing Robust and Adaptive Network Flows. - Riddhish Bhalodia, Iain Lee, Shireen Y. Elhabian:
dpVAEs: Fixing Sample Generation for Regularized VAEs. - Swati Megha, Joseph Lamptey, Hamza Salem, Manuel Mazzara:
A survey of of blockchain-based solutions for Energy Industry. - Xukai Xie, Yuan Zhou, Sun-Yuan Kung:
Exploiting Operation Importance for Differentiable Neural Architecture Search. - Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong:
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. - Savvas Zannettou:
Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities. - (Withdrawn) Three Dimensional Route Planning for Multiple Unmanned Aerial Vehicles using Salp Swarm Algorithm.
- Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo:
EDIT: Exemplar-Domain Aware Image-to-Image Translation. - Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang:
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. - Fabien Geyer, Steffen Bondorf:
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. - Zekun Yang, Tianlin Liu:
Causally Denoise Word Embeddings Using Half-Sibling Regression. - Gang Chen:
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning. - Jia Li, Wen Su, Zengfu Wang:
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation. - Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang:
A Proposal-based Approach for Activity Image-to-Video Retrieval. - Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura:
Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate. - Ori Nizan, Ayellet Tal:
Breaking the cycle - Colleagues are all you need. - Yuval Dagan, Vitaly Feldman:
PAC learning with stable and private predictions. - Bo Jiang, Xixi Wang, Jin Tang:
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification. - Thembelihle Dlamini:
MEC-enabled Energy Cooperation for Sustainable 5G Networks Exploiting the Location Service API. - Juping Zhang, Gan Zheng, Ioannis Krikidis, Rui Zhang:
Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems. - Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou:
Fast Polynomial Kernel Classification for Massive Data. - Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan:
Time-aware Gradient Attack on Dynamic Network Link Prediction. - Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong:
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment. - Paulin Jacquot, Cheng Wan, Olivier Beaude, Nadia Oudjane:
Efficient Estimation of Equilibria in Large Aggregative Games with Coupling Constraints. - Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau:
2D Wasserstein Loss for Robust Facial Landmark Detection. - Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky:
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation. - Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau:
Facial Landmark Correlation Analysis. - Konstantin S. Yakovlev, Anton Andreychuk, Vitaly Vorobyev:
Prioritized Multi-agent Path Finding for Differential Drive Robots. - Esty Kelman, Guy Kindler, Noam Lifshitz, Dor Minzer, Muli Safra:
Revisiting Bourgain-Kalai and Fourier Entropies. - Filippos Kokkinos, Ioannis Marras, Matteo Maggioni, Gregory G. Slabaugh, Stefanos Zafeiriou:
Pixel Adaptive Filtering Units. - Dipan K. Pal, Sreena Nallamothu, Marios Savvides:
Towards a Hypothesis on Visual Transformation based Self-Supervision. - Erik Norlander, Alexandros Sopasakis:
Latent space conditioning for improved classification and anomaly detection. - Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. - Alexander Tschantz, Manuel Baltieri, Anil K. Seth, Christopher L. Buckley:
Scaling active inference. - Manpreet Singh Minhas, John S. Zelek:
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces. - Sergey Bereg, Oscar Chacón-Rivera, David Flores-Peñaloza, Clemens Huemer, Pablo Pérez-Lantero, Carlos Seara:
On Maximum-Sum Matchings of Points. - Jeonghun J. Lee:
Analysis of hybridized discontinuous Galerkin methods without elliptic regularity assumptions. - Yihui He, Jianren Wang:
Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion. - Noujan Pashanasangi, C. Seshadhri:
Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE. - Samet Demir, Hasan Ferit Eniser, Alper Sen:
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning. - Mihir Kulkarni, Huan Nguyen, Kostas Alexis:
The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning. - Ashish Verma, Ankush Goyal, Davinderjit Kaur:
Fatigue Detection. - Kaiqing Zhang, Zhuoran Yang, Tamer Basar:
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. - Vincenzo Liguori:
Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference. - Patrick Leu, Ivan Puddu, Aanjhan Ranganathan, Srdjan Capkun:
I Send, Therefore I Leak: Information Leakage in Low-Power Wide Area Networks. - Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas C. Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye:
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. - Sara Pollock:
Fast convergence to higher multiplicity zeros. - James Wingate, Ilianna Kollia, Luc M. Bidaut, Stefanos D. Kollias:
A Unified Deep Learning Approach for Prediction of Parkinson's Disease. - Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi:
Reducing the Human Effort in Developing PET-CT Registration. - Wenye Ma:
Projective Quadratic Regression for Online Learning. - Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. - Makoto Morishita, Jun Suzuki, Masaaki Nagata:
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. - Bogdan Groza, Lucian Popa, Pal-Stefan Murvay:
CANTO - Covert AutheNtication with Timing channels over Optimized traffic flows for CAN. - Dongxu Wei, Haibin Shen, Kejie Huang:
Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer. - Kun Song:
Adaptive Nearest Neighbor: A General Framework for Distance Metric Learning. - Chaoqing Huang, Jinkun Cao, Fei Ye, Maosen Li, Ya Zhang, Cewu Lu:
Inverse-Transform AutoEncoder for Anomaly Detection. - Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei Li:
Non-autoregressive Transformer by Position Learning. - Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno-Yepes:
Image-based table recognition: data, model, and evaluation. - Yuguang Yang:
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control. - Pouya Rezazadeh Kalehbasti, Yufei Miao, Gregory Andrew Forbes:
Effects of Adopting Ultra-Fast Charging Stations in the San Francisco Bay Area. - Hejia Zhang, Stefanos Nikolaidis:
Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. - Zhenyue Qin, Dongwoo Kim:
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator. - David Harel, Rami Marelly, Assaf Marron, Smadar Szekely:
Integrating Inter-Object Scenarios with Intra-object Statecharts for Developing Reactive Systems. - Mei Wang, Weihong Deng:
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning. - Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu:
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. - Arnab Bhattacharyya, L. Sunil Chandran, Suprovat Ghoshal:
Combinatorial lower bounds for 3-query LDCs. - Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. - Elizabeth Jasmi George, Radhika Mamidi:
Conversational implicatures in English dialogue: Annotated dataset. - Idris Abdulmumin, Bashir Shehu Galadanci:
hauWE: Hausa Words Embedding for Natural Language Processing. - Jinlu Liu, Liang Song, Yongqiang Qin:
Prototype Rectification for Few-Shot Learning. - Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. - Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. - Yohei Yoshimoto, Masaharu Kataoka, Yoshimasa Takabatake, Tomohiro I, Kilho Shin, Hiroshi Sakamoto:
Faster Privacy-Preserving Computation of Edit Distance with Moves. - Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Ordinal Classification with Inequality Constraints. - Fan Yang:
Analyzing Insect-Plant Predation Data By Bayesian Nonparametrics. - Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi:
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. - Xiaojin Zhang:
Automatic Ensemble Learning for Online Influence Maximization. - Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. - Qian Cao, Shaohui Kuang, Deyi Xiong:
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples. - Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. - Liangchen Liu, Louis Ly, Colin B. Macdonald, Yen-Hsi Richard Tsai:
Nearest Neighbor Sampling of Point Sets using Random Rays. - Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. - Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh:
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. - Yu Li, Kun Qian, Weiyan Shi, Zhou Yu:
End-to-End Trainable Non-Collaborative Dialog System. - Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma:
Co-contributorship Network and Division of Labor in Individual Scientific Collaborations. - Hao Wang, Bing Wang, Jianyong Duan, Jiajun Zhang:
Chinese Spelling Error Detection Using a Fusion Lattice LSTM. - Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao:
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition. - Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen:
Fast and Incremental Loop Closure Detection Using Proximity Graphs. - Benjamin Sliwa, Christian Wietfeld:
Data-driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems. - Mohsen Masoudi, Davod Khojasteh Salkuyeh:
Semi-convergence of the EPSS method for singular generalized saddle point problems. - Taha Hasan Masood Siddique, Iqra Sami, Malik Zohaib Nisar, Mashal Naeem, Abid Karim, Muhammad Usman:
Low Cost 3D Printing for Rapid Prototyping and its Application. - Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Corpus Wide Argument Mining - a Working Solution. - Deeparnab Chakrabarty, Yin Tat Lee, Aaron Sidford, Sahil Singla, Sam Chiu-wai Wong:
Faster Matroid Intersection. - Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita:
Unsupervised Domain Adaptation of Language Models for Reading Comprehension. - Rui Shao, Xiangyuan Lan, Pong C. Yuen:
Regularized Fine-grained Meta Face Anti-spoofing. - Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou:
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution. - Cristian Daniel Alecsa, Imre Boros, Florian Frank, Peter Knabner, Mihai Nechita, Alexander Prechtel, Andreas Rupp, Nicolae Suciu:
Benchmark for numerical solutions of flow in heterogeneous groundwater formations. - Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu:
Filling Conversation Ellipsis for Better Social Dialog Understanding. - Stefan Wildhagen, Frank Allgöwer:
Scheduling and control over networks using MPC with time-varying terminal ingredients. - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Estimating People Flows to Better Count them in Crowded Scenes. - Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder:
Financial Event Extraction Using Wikipedia-Based Weak Supervision. - Zekun Yang, Juan Feng:
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations. - Emilio Tanowe Maddalena, Caio Guilherme da Silva Moraes, Gierri Waltrich, Colin N. Jones:
A Neural Network Architecture to Learn Explicit MPC Controllers from Data. - Xiaofei Li, Radu Horaud:
Narrow-band Deep Filtering for Multichannel Speech Enhancement. - Nicolas Gensollen, Matthieu Latapy:
Do you trade with your friends or become friends with your trading partners? A case study in the G1 cryptocurrency. - Chihao Zhang, Kuo Gai, Shihua Zhang:
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. - Stefan Wildhagen, Colin N. Jones, Frank Allgöwer:
A Resource-Aware Approach to Self-Triggered Model Predictive Control. - Jin Watanabe, Fan Yang:
Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach. - (Withdrawn) Fast and Generalized Adaptation for Few-Shot Learning.
- Yinglong Wang, Chao Ma, Bing Zeng:
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding. - Jacopo Bonari, Maria R. Marulli, Nora Hagmeyer, Matthias Mayr, Alexander Popp, Marco Paggi:
A multi-scale FEM-BEM formulation for contact mechanics between rough surfaces. - Ju Liu, Weiguang Yang, Melody Dong, Alison L. Marsden:
The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations. - Maxim Berman, Matthew B. Blaschko:
Discriminative training of conditional random fields with probably submodular constraints. - Zak Hodgson, Inaki Esnaola, Bryn Jones:
Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill. - Christoph Reinders, Bodo Rosenhahn:
Neural Random Forest Imitation. - Sebastian Reich, Simon Weissmann:
Fokker-Planck particle systems for Bayesian inference: Computational approaches. - Xiaojin Zhang:
Near-Optimal Algorithm for Distribution-Free Junta Testing. - Vilém Zouhar, Ondrej Bojar:
Outbound Translation User Interface Ptakopet: A Pilot Study. - Jiaqi Yan, Yilin Mo, Xiuxian Li, Changyun Wen:
A "Safe Kernel" Approach for Resilient Multi-Dimensional Consensus. - Yayun Fu Wenjun Cai, Yushun Wang:
Structure-preserving algorithms for multi-dimensional fractional Klein-Gordon-Schrödinger equation. - Florian Jaumann, Stefan Wildhagen, Frank Allgöwer:
Saving Communication Resources in Control over a Token Bucket Network. - Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. - Michael A. Bekos, Carla Binucci, Michael Kaufmann, Chrysanthi N. Raftopoulou, Antonios Symvonis, Alessandra Tappini:
Coloring outerplanar graphs and planar 3-trees with small monochromatic components. - Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh:
Disentangled Cumulants Help Successor Representations Transfer to New Tasks. - Marin Toromanoff, Émilie Wirbel, Fabien Moutarde:
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances. - Tobias Mömke, Andreas Wiese:
Breaking the Barrier of 2 for the Storage Allocation Problem. - Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas K. Maier:
Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. - Ziang Dong, Liang Mao, Shiliang Sun:
Adversarial Attack with Pattern Replacement. - Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez:
Towards robust word embeddings for noisy texts. - Claudia S. Bianchini, Fabrizio Borgia, Paolo Bottoni, Maria De Marsico:
SWift - A SignWriting improved fast transcriber. - Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis:
Improving VAE generations of multimodal data through data-dependent conditional priors. - Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Andrea Cavallaro:
ColorFool: Semantic Adversarial Colorization. - Chaitra, Sara Bertocco, Marco Molinaro, Sergio Molinari, Antonio Ragagnin, Giuliano Taffoni:
Exposing SED Models And Snapshots Via VO Simulation Artefacts. - Alireza Soroudi, Turaj Amraee:
Decision making under uncertainty in energy systems: state of the art. - Ina Seidel, Stefan Weltge:
Minimum-cost integer circulations in given homology classes. - Patrick Putzky, Max Welling:
Invert to Learn to Invert. - (Withdrawn) Drivers' Awareness, Knowledge, and Use of Autonomous Driving Assistance Systems (ADAS) and Vehicle Automation.
- Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan:
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. - Sileye O. Ba:
Discovering topics with neural topic models built from PLSA assumptions. - Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects. - Maxime Jacquemin, Fonenantsoa Maurica, Nikolai Kosmatov, Julien Signoles, Franck Védrine:
Abstract Compilation for Verification of Numerical Accuracy Properties. - Ramy Tanios, Samah El Mohtar, Omar M. Knio, Issam Lakkis:
Green's function of the screened Poisson's equation on the sphere. - Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. - Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. - Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi:
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents. - Diego Rojas, Radouan Boukharfane, Lisandro Dalcín, David C. Del Rey Fernández, Hendrik Ranocha, David E. Keyes, Matteo Parsani:
On the robustness and performance of entropy stable discontinuous collocation methods for the compressible Navie-Stokes equations. - Miao Liu, Siyu Tang, Yin Li, James M. Rehg:
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity. - Brendan E. Odigwe, Jesuloluwa S. Eyitayo, Celestine I. Odigwe, Homayoun Valafar:
Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks. - Yong-Goo Shin, Yoon-Jae Yeo, Min-Cheol Sagong, Cheol-Hwan Yoo, Sung-Jea Ko:
A Simple yet Effective Way for Improving the Performance of GANs. - David Carral, Jacopo Urbani:
Checking Chase Termination over Ontologies of Existential Rules with Equality. - Philip Dexter, Yu David Liu, Kenneth Chiu:
A Foundation of Lazy Streaming Graphs. - Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling:
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. - Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis:
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters. - Abel Sa J. R. Malano, Guanjun Du, Guoxiang Tong, Naixue Xiong:
DE/RM-MEDA: A New Hybrid Multi-Objective Generator. - Martin Aleksandrov, Toby Walsh:
Greedy Algorithms for Fair Division of Mixed Manna. - Jeonghyeok Park, Hai Zhao:
Korean-to-Chinese Machine Translation using Chinese Character as Pivot Clue. - Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning. - Kooktae Lee:
A Stabilizing Control Algorithm for Asynchronous Parallel Quadratic Programming via Dual Decomposition. - Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy:
An End-to-End Framework for Cold Question Routing in Community Question Answering Services. - Xiaowei Gu, Plamen P. Angelov, Eduardo Almeida Soares:
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification. - Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. - Lana Cuthbertson, Alex Kearney, Riley Dawson, Ashia Zawaduk, Eve Cuthbertson, Ann Gordon-Tighe, Kory W. Mathewson:
Women, politics and Twitter: Using machine learning to change the discourse. - Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. - Tom J. Viering, Alexander Mey, Marco Loog:
Making Learners (More) Monotone. - Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained. - Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover:
Failure Modes in Machine Learning Systems. - Mathias Weller:
Listing Conflicting Triples in Optimal Time. - Roy Mitz, Yoel Shkolnisky:
ROIPCA: An Online PCA algorithm based on rank-one updates. - Patrick Leu, Mridula Singh, Marc Roeschlin, Kenneth G. Paterson, Srdjan Capkun:
Message Time of Arrival Codes: A Fundamental Primitive for Secure Distance Measurement. - Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet:
Fair in the Eyes of Others. - Saad Farooq:
A Survey on Adversarial Information Retrieval on the Web. - Tommy Jones:
A Coefficient of Determination for Probabilistic Topic Models. - Arnab Sen Sharma, Maruf Ahmed Mridul, Md. Saiful Islam:
Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model. - Hanqing Huang, Kezia Irene, Nahyun Ryu:
Voice Search and Typed Search Performance Comparison on Baidu Search System. - Nourah A. ALRossais, Daniel Kudenko:
Generating Stereotypes Automatically For Complex Categorical Features. - Siamak Shakeri, Abhinav Sethy, Cheng Cheng:
Knowledge Distillation in Document Retrieval. - R. Rajkumar, M. V. Sudhamani:
Crawler for Image Acquisition from World Wide Web. - Bokun Kong:
Analysing Russian Trolls via NLP tools. - Jun Zhao:
Analyzing resilience of interest-based social networks against node and link failures. - Arthi M. Krishna, Ye Jin, Christine Foster, Greg Gabel, Britt Hanley, Abdou Youssef:
Query Expansion for Patent Searching using Word Embedding and Professional Crowdsourcing. - Joanna Misztal-Radecka, Dominik Rusiecki, Michal Zmuda, Artur Bujak:
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System. - Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash:
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems. - Mridula Singh, Patrick Leu, AbdelRahman Abdou, Srdjan Capkun:
UWB-ED: Distance Enlargement Attack Detection in Ultra-Wideband. - Meisam Rakhshanfar:
Radius Adaptive Convolutional Neural Network. - Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Seong Tae Kim, Nassir Navab:
Explaining Neural Networks via Perturbing Important Learned Features. - David Croft, Matthew England:
Computing with CodeRunner at Coventry University: Automated summative assessment of Python and C++ code. - Aldo Iván Ramírez Abarca, Jan M. Broersen:
Stit Semantics for Epistemic Notions Based on Information Disclosure in Interactive Settings. - Simon Billings, Matthew England:
First Year Computer Science Projects at Coventry University: Activity-led integrative team projects with continuous assessment. - Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter:
Meta-Learning of Neural Architectures for Few-Shot Learning. - David Lafontaine, Euan A. Spence, Jared Wunsch:
A sharp relative-error bound for the Helmholtz h-FEM at high frequency. - Seyyed Shaho Alaviani:
Convex Optimization over Fixed Value Point Set of Quasi-Nonexpansive Random Operators on Hilbert Spaces. - Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. - Manoel B. Campêlo, Phablo F. S. Moura, Joel C. Soares:
Polyhedral study of the Convex Recoloring problem. - Meysam Shahrbaf Motlagh, Subhajit Majhi, Patrick Mitran:
Performance of Multi-Cell Massive MIMO Systems With Interference Decoding. - Lin Zhang:
Phase Contrast Microscopy Cell PopulationSegmentation: A Survey. - HyungSeon Oh:
Analytical solution to swing equations in power grids. - Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal:
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. - Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai:
KerGM: Kernelized Graph Matching. - Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal:
Efficient Global String Kernel with Random Features: Beyond Counting Substructures. - Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. - Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. - Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song:
A Benchmark for Anomaly Segmentation. - Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen:
Rigging the Lottery: Making All Tickets Winners. - Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu:
Self-Enhanced Convolutional Network for Facial Video Hallucination. - Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall:
Learning to Determine the Quality of News Headlines. - Sashank Santhanam, Samira Shaikh:
Emotional Neural Language Generation Grounded in Situational Contexts. - Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han:
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. - David Burth Kurka, Deniz Gündüz:
DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback. - Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
Structured Multi-Hashing for Model Compression. - Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam:
Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas. - Parisa Ataei, Qiaoran Li, Eric Walkingshaw, Arash Termehchy:
Managing Variability in Relational Databases by VDBMS. - Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu:
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. - Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné:
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. - Josef Rukavicka:
Upper bound for the number of closed and privileged words. - Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles:
Energy-efficient stochastic computing with superparamagnetic tunnel junctions. - Dave Epstein, Boyuan Chen, Carl Vondrick:
Oops! Predicting Unintentional Action in Video. - Richard Dosselmann, Mehdi Sadeqi, Howard J. Hamilton:
A Tutorial on Computing t-Closeness. - Sima Bhowmik, Md Main Uddin Rony, Md Mahfuzul Haque, Kristen Alley Swain, Naeemul Hassan:
Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information. - Chang Xiao, Changxi Zheng:
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples. - Luis M. Contreras, Óscar González de Dios, Víctor López, Juan P. Fernández Palacios, Jesús Folgueira:
iFUSION: Standards-based SDN Architecture for Carrier Transport Network. - Saurabh M. Raje, Abhishek Goel, Shubham Sharma, Kushagra Aggarwal, Dhananjay Mantri, Tanuj Kumar:
Development of On Board Computer for a Nanosatellite. - Jan Bednarík, Shaifali Parashar, Erhan Gundogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. - Hassene Aissi, Da Qi Chen, R. Ravi:
Downgrading to Minimize Connectivity. - Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille:
Identifying Model Weakness with Adversarial Examiner. - Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. - Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Narrated Video. - Ganesh Sundaramoorthi, Timothy E. Wang:
Translation Insensitive CNNs. - Julian Risch, Ralf Krestel:
My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections. - Federico Olmedo, Alejandro Díaz-Caro:
Runtime Analysis of Quantum Programs: A Formal Approach. - Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. - Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. - Cassidy Laidlaw, Soheil Feizi:
Playing it Safe: Adversarial Robustness with an Abstain Option. - Ruy Luiz Milidiú, Rafael Henrique Santos Rocha:
Cumulative Sum Ranking. - Daniel Wiebking:
Graph isomorphism in quasipolynomial time parameterized by treewidth. - John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye:
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. - Hao Ding, Siyuan Qiao, Wei Shen, Alan L. Yuille:
Shape-aware Feature Extraction for Instance Segmentation. - Jessica Velasco, Leandro Alberto, Henrick Dave Ambatali, Marlon Canilang, Vincent Daria, Jerome Bryan Liwanag, Gilfred Allen Madrigal:
Internet of things-based (IoT) inventory monitoring refrigerator using arduino sensor network. - Sherif Saad, Farhan Mahmood, William Briguglio, Haytham Elmiligi:
JSLess: A Tale of a Fileless Javascript Memory-Resident Malware. - Keyvan Ramezanpour, Paul Ampadu, William Diehl:
RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis. - Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai:
UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location. - Ehsan Aghaei, Gürsel Serpen:
Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data. - Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo:
Biologically inspired architectures for sample-efficient deep reinforcement learning. - Mohammad Roohitavaf, Kun Ren, Gene Zhang, Sami Ben-Romdhane:
LogPlayer: Fault-tolerant Exactly-once Delivery using gRPC Asynchronous Streaming. - Alessio Meneghetti, Massimiliano Sala, Daniele Taufer:
A new ECDLP-based PoW model. - Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon:
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. - T. Nathan Mundhenk, Barry Y. Chen, Gerald Friedland:
Efficient Saliency Maps for Explainable AI. - Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. - Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. - Zinovy Diskin, Harald König, Mark Lawford:
Multiple Model Synchronization with Multiary Delta Lenses with Amendment and K-Putput. - Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
SRG: Snippet Relatedness-based Temporal Action Proposal Generator. - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. - Xinyu Zhang:
Drivers affecting cloud ERP deployment decisions: an Australian study. - Fangneng Zhan, Shijian Lu, Aoran Xiao:
Spatial-Aware GAN for Unsupervised Person Re-identification. - Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
Summarizing CPU and GPU Design Trends with Product Data. - Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua:
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. - Pingchuan Ma, Yao Zhou, Yu Lu, Wei Zhang:
Learning Efficient Video Representation with Video Shuffle Networks. - Han Shi, Haozheng Fan, James T. Kwok:
Effective Decoding in Graph Auto-Encoder using Triadic Closure. - Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian:
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study. - Gang Wu, Guodong Zhao, Yidong Song:
Index-Based Scheduling for Parallel State Machine Replication. - Xiaojin Zhang, Shuai Li, Weiwen Liu:
Contextual Combinatorial Conservative Bandits. - Yuhao Yi, Stacy Patterson:
Disagreement and Polarization in Two-Party Social Networks. - Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Sajad Mousavi, Jonathan D. Ashdown, Kurt A. Turck:
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations. - Bhavan Jasani, Afshaan Mazagonwalla:
Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space. - Zhe Xu, Agung Julius, Ufuk Topcu, Joe H. Chow:
Controller Synthesis of Wind Turbine Generator and Energy Storage System with Stochastic Wind Variations under Temporal Logic Specifications. - Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang:
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. - Shravan Mohan:
Control of Permanent Magnet Motors with Actuation Bounds using Convex Optimization. - Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang:
Finding Route Hotspots in Large Labeled Networks. - Viet Trinh, Roberto Manduchi:
Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans. - Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic:
Semantic Bottleneck Scene Generation. - Saurav Manchanda, George Karypis:
CAWA: An Attention-Network for Credit Attribution. - Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang:
Towards Universal Languages for Tractable Ontology Mediated Query Answering. - Yifan Wu, George Tucker, Ofir Nachum:
Behavior Regularized Offline Reinforcement Learning. - Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. - Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin:
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment. - Shafi Goldwasser, Ofer Grossman, Sidhanth Mohanty, David P. Woodruff:
Pseudo-deterministic Streaming. - Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Optimal Design of Energy-Efficient Cell-Free Massive MIMO: Joint Power Allocation and Load Balancing. - Markus Knecht:
Mandala: A Smart Contract Programming Language. - Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio:
Privacy preserving Neural Network Inference on Encrypted Data with GPUs. - Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah:
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions. - Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch:
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows. - Mohammadreza Doostmohammadian, Usman A. Khan:
On the Complexity of Minimum-Cost Networked Estimation of Self-Damped Dynamical Systems. - Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang:
Multi-Task Driven Feature Models for Thermal Infrared Tracking. - Gang Wu, Yidong Song, Guodong Zhao, Wei Sun, Donghong Han, Baiyou Qiao, Guoren Wang, Ye Yuan:
Cracking In-Memory Database Index A Case Study for Adaptive Radix Tree Index. - Mohammadreza Doostmohammadian:
Minimal Driver Nodes for Structural Controllability of Large-Scale Dynamical Systems: Node Classification. - Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog. - Yang Yang, Xiaojie Guo, Jiayi Ma, Lin Ma, Haibin Ling:
LaFIn: Generative Landmark Guided Face Inpainting. - Raiyan Abdul Baten, Daryl Bagley, Ashely Tenesaca, Famous Clark, James P. Bagrow, Gourab Ghoshal, Mohammed Ehsan Hoque:
Creativity in dynamic networks: How divergent thinking is impacted by one's choice of peers. - Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clusterings using Deep Matrix Factorization. - Jingliang Duan, Zhengyu Liu, Shengbo Eben Li, Qi Sun, Zhenzhong Jia, Bo Cheng:
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints. - Xin Qin, Xuan Zhang, Xinwei Shen, Yinliang Xu, Mohammad Shahidehpour, Hongbin Sun:
Distributed Optimal Frequency Control for Integrated Energy Systems with Electricity and Heat. - Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, James R. Glass, Bilal Randeree:
SemEval-2015 Task 3: Answer Selection in Community Question Answering. - Vidhushini Srinivasan, Sashank Santhanam, Samira Shaikh:
Natural Language Generation Using Reinforcement Learning with External Rewards. - Zhujun Zhang:
A Note on Computational Complexity of Kill-all Go. - Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim:
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis. - Hongyang Du, Jiayi Zhang, Kostas P. Peppas, Hui Zhao, Bo Ai, Xiaodan Zhang:
On the Distribution of the Ratio of Products of Fisher-Snedecor F Random Variables and Its Applications. - Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma:
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. - Alireza Nouri, Alireza Soroudi, Andrew Keane:
Resilient Decentralized Control of Inverter-interfaced Distributed Energy Sources in Low-voltage Distribution Grids. - Stephen Merity:
Single Headed Attention RNN: Stop Thinking With Your Head. - Ansgar Jüngel, Antoine Zurek:
A finite-volume scheme for a cross-diffusion model arising from interacting many-particle population systems. - Umair Zulfiqar, Victor Sreeram, Xin Du:
A Cumulative Framework for H2-Model Order Reduction in Limited Time and Frequency Intervals with Monotonic Decay in Error. - Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao:
Independence Promoted Graph Disentangled Networks. - Alma Eguizabal, Peter J. Schreier, Jürgen Schmidt:
Procrustes registration of two-dimensional statistical shape models without correspondences. - Ameya Prabhu, Riddhiman Dasgupta, Anush Sankaran, Srikanth Tamilselvam, Senthil Mani:
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets. - Muhammad Asad Khan, Sajid Saleem, Amir Ali Khan:
CRT Based Spectral Convolution in Binary Fields. - Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo:
Control-Tutored Reinforcement Learning: an application to the Herding Problem. - Jun Wei, Shuhui Wang, Qingming Huang:
F3Net: Fusion, Feedback and Focus for Salient Object Detection. - Ruiqi Lu, Huimin Ma:
Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor. - Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. - Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati:
A Statistical Model for Dynamic Networks with Neural Variational Inference. - Mengmeng Xu, Chen Zhao, David S. Rojas, Ali K. Thabet, Bernard Ghanem:
G-TAD: Sub-Graph Localization for Temporal Action Detection. - Ishfaq Hussain, Janibul Bashir:
Dynamic MTU for Reducing the Packet Drop in IPv6 Protocol. - Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham, The Duy Bui:
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page. - Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Ranking architectures using meta-learning. - Chang Yang, Fabrice Deluzet, Jacek Narski:
Preserving the accuracy of numerical methods discretizing anisotropic elliptic problems. - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting. - Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. - Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam:
Relevance-Promoting Language Model for Short-Text Conversation. - Udo Schilcher, Siddhartha S. Borkotoky, Jorge F. Schmidt, Christian Bettstetter:
Outage Duration in Poisson Networks and its Application to Erasure Codes. - Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao:
Integrating Relation Constraints with Neural Relation Extractors. - Rosa Becerra, Christopher Thraves Caro:
On The Sitting Closer to Friends than Enemies Problem in Trees and An Intersection Model for Strongly Chordal Graphs. - Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann:
FCA2VEC: Embedding Techniques for Formal Concept Analysis. - Marco Voigt:
Separateness of Variables - A Novel Perspective on Decidable First-Order Fragments. - Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. - Georgi Georgiev, Valentin Zhikov, Petya Osenova, Kiril Simov, Preslav Nakov:
Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian. - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-Class Embeddings for Multiclass Text Classification. - Sheng Yi, Xi Li, Huimin Ma:
WSOD with PSNet and Box Regression. - Alexander Murray, Michael Kyesswa, Philipp Schmurr, Hüseyin Kemâl Çakmak, Veit Hagenmeyer:
A Comparison of Partitioning Strategies in AC Optimal Power Flow. - Sai C. Divi, Clemens V. Verhoosel, Ferdinando Auricchio, Alessandro Reali, E. Harald van Brummelen:
Error-estimate-based Adaptive Integration For Immersed Isogeometric Analysis. - Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Yang Liu:
Neural Machine Translation with Explicit Phrase Alignment. - Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen, Udo Hahn:
A Time Series Analysis of Emotional Loading in Central Bank Statements. - Eija Jurvanen, Magnus Steinby:
Fuzzy Deterministic Top-down Tree Automata. - Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu:
A Neural Rendering Framework for Free-Viewpoint Relighting. - (Withdrawn) Decoupling Features and Coordinates for Few-shot RGB Relocalization.
- Christian Lang, Florian Steinborn, Oliver Steffens, Elmar Wolfgang Lang:
Electricity Load Forecasting - An Evaluation of Simple 1D-CNN Network Structures. - Lutz Prechelt:
Does ICSE Accept the Right Contributions? - Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg:
Recursive Prediction of Graph Signals with Incoming Nodes. - Tanvi Sahay, Ankita Mehta, Shruti Jadon:
Schema Matching using Machine Learning. - Rameen Abdal, Yipeng Qin, Peter Wonka:
Image2StyleGAN++: How to Edit the Embedded Images? - Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham:
A Vietnamese Text-Based Conversational Agent. - Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu:
On Functional Test Generation for Deep Neural Network IPs. - Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi:
Network Intrusion Detection based on LSTM and Feature Embedding. - Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Distilling Domain Adaptation. - Zhiliang Chen:
Fair Multi-party Machine Learning - a Game Theoretic approach. - Erlend Storvik, Jakub Wiktor Both, Jan Martin Nordbotten, Florin Adrian Radu:
The fixed-stress splitting scheme for Biot's equations as a modified Richardson iteration: Implications for optimal convergence. - Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer:
FairyTED: A Fair Rating Predictor for TED Talk Data. - Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. - Jérémy Charlier:
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking. - Guoping Long, Jun Yang, Wei Lin:
FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads. - (Withdrawn) DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning.
- Sheung Chi Chan, James Cheney:
Flexible graph matching and graph edit distance using answer set programming. - Matteo Croci, Patrick E. Farrell:
Complexity bounds on supermesh construction for quasi-uniform meshes. - Harsh Jot Singh, Abdelhakim Senhaji Hafid:
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning. - Shin Nakajima:
Distortion and Faults in Machine Learning Software. - Matt Luckcuck, Marie Farrell, Louise A. Dennis, Michael Fisher:
A Summary of Formal Specification and Verification of Autonomous Robotic Systems. - Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su:
Deep Learning with Gaussian Differential Privacy. - Mahdi M. Kalayeh, Mubarak Shah:
On Symbiosis of Attribute Prediction and Semantic Segmentation. - Jonathan Connell:
Teaching Perception. - Luciana Ferrer, Mitchell McLaren:
A discriminative condition-aware backend for speaker verification. - Tien-Thanh Vu, Dat Quoc Nguyen:
A Vietnamese information retrieval system for product-price. - Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing. - Anton Fuxjaeger, Vaishak Belle:
Logical Interpretations of Autoencoders. - Márcio Ferreira Moreno, Guilherme F. Lima, Rodrigo Costa Mesquita Santos, Roberto Gerson De Albuquerque Azevedo, Markus Endler:
Bridging the Gap between Semantics and Multimedia Processing. - Xia Wu, Wei Lu, Xiwang Cao:
Minimal Linear Codes Constructed from Functions. - (Withdrawn) GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs.
- Yuwei Fan, Lexing Ying:
Solving Traveltime Tomography with Deep Learning. - Vladan Majerech:
Fast Fibonacci heaps with worst case extensions. - Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. - Ramya Akula, Kartik Jain, Deep Jigar Kotecha:
System Performance with varying L1 Instruction and Data Cache Sizes: An Empirical Analysis. - Gokul S. Krishnan, S. Sowmya Kamath:
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes. - Thomas Apel, Volker Kempf:
Brezzi-Douglas-Marini interpolation of any order on anisotropic triangles and tetrahedra. - Travis LaCroix:
Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols. - Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen:
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling. - Aymen Hasan Alawadi, Maiass Zaher, Sándor Molnár:
Methods for Predicting Behavior of Elephant Flows in Data Center Networks. - Valdemar Svábenský, Jan Vykopal, Pavel Celeda:
What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences. - Guillaume Matheron, Nicolas Perrin, Olivier Sigaud:
The problem with DDPG: understanding failures in deterministic environments with sparse rewards. - Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu:
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization. - Ying Huang, Jiankai Zhuang, Zengchang Qin:
Multi-Level Network for High-Speed Multi-Person Pose Estimation. - Jonas Heitz, Kurt Stockinger:
Join Query Optimization with Deep Reinforcement Learning Algorithms. - S. R. P. van Hal, M. Post, K. Wendel:
Generating Commit Messages from Git Diffs. - Siavash Golkar:
Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks. - Emeric Dynomant, Stéfan Jacques Darmoni, Émeline Lejeune, Gaétan Kerdelhué, Jean-Philippe Leroy, Vincent Lequertier, Stéphane Canu, Julien Grosjean:
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles. - Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving. - Miguel Fabián Romero Rondón, Lucile Sassatelli, Ramon Aparicio-Pardo, Frédéric Precioso:
Revisiting Deep Architectures for Head Motion Prediction in 360° Videos. - Lukas Fleischer, Jeffrey O. Shallit:
Words Avoiding Reversed Factors, Revisited. - Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit:
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation. - Christian Klein, Ken McLaughlin, Nikola M. Stoilov:
High precision numerical approach for the Davey-Stewartson II equation for Schwartz class initial data. - Filippo M. Miatto:
Recursive multivariate derivatives of ef(x1, ⋯, xn) of arbitrary order. - Nino Arsov, Goran Velinov, Aleksandar S. Dimovski, Bojana Koteska, Dragan Sahpaski, Margita Kon-Popovska:
Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation. - Nino Arsov, Georgina Mirceva:
Network Embedding: An Overview. - Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden:
Starling: A Scalable Query Engine on Cloud Function Services. - Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain:
OASIS: ILP-Guided Synthesis of Loop Invariants. - Harsh Verma, John Thickstun:
Convolutional Composer Classification. - Gianira Nicoletta Alfarano, Martino Borello, Alessandro Neri:
A geometric characterization of minimal codes and their asymptotic performance. - Vinoj Jayasundara, Hirunima Jayasekara, Tharaka Samarasinghe, Kasun T. Hemachandra:
Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach. - Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Chitta Baral, Heni Ben Amor:
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. - Alison Jenkins:
Defending Against Adversarial Machine Learning. - Dominik Peters, Piotr Skowron:
Proportionality and the Limits of Welfarism. - Nino Arsov, Milan Dukovski, Blagoja Evkoski, Stefan Cvetkovski:
A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient. - Gyanendra Sharma, Richard J. Radke:
Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads. - Alexander Hanbo Li, Abhinav Sethy:
Semi-Supervised Learning for Text Classification by Layer Partitioning. - Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. - Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. - Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching with Graph Neural Networks. - Katarzyna Grzesiak-Kopec, Maciej Ogorzalek:
3D IC optimal layout design. A parallel and distributed topological approach. - Bert-Jan Butijn, Damian A. Tamburri, Willem-Jan van den Heuvel:
Blockchains: a Systematic Multivocal Literature Review. - Omar Peracha:
Improving Polyphonic Music Models with Feature-Rich Encoding. - Takuhiro Kaneko, Tatsuya Harada:
Noise Robust Generative Adversarial Networks. - Goran Muric, Andrés Abeliuk, Kristina Lerman, Emilio Ferrara:
Collaboration Drives Individual Productivity. - Yawar Siddiqui, Julien Valentin, Matthias Nießner:
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation. - Amir H. Abdi, Purang Abolmaesumi, Sidney S. Fels:
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics. - Prerona Chatterjee, Mrinal Kumar, Adrian She, Ben Lee Volk:
A Quadratic Lower Bound for Algebraic Branching Programs. - Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
TimeCaps: Capturing Time Series Data with Capsule Networks. - Florian Hartmann, Sunah Suh, Arkadiusz Komarzewski, Tim D. Smith, Ilana Segall:
Federated Learning for Ranking Browser History Suggestions. - Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. - Jean-Philippe Mercier, Mathieu Garon, Philippe Giguère, Jean-François Lalonde:
Learning to Match Templates for Unseen Instance Detection. - Jacques Carette, Brooks MacLachlan, W. Spencer Smith:
GOOL: A Generic Object-Oriented Language (extended version). - Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. - (Withdrawn) Robustly Clustering a Mixture of Gaussians.
- Jinao Zhang, Sunita Chauhan:
Fast computation of soft tissue thermal response under deformation based on fast explicit dynamics finite element algorithm for surgical simulation. - Hassene Aissi, S. Thomas McCormick, Maurice Queyranne:
Faster Algorithms for Parametric Global Minimum Cut Problems. - Mingkuan Xu, Yang Yu, Chenye Wu:
Rule Designs for Optimal Online Game Matchmaking. - Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon:
Approximating the Permanent by Sampling from Adaptive Partitions. - Greg Bodwin, Santosh S. Vempala:
Matrix Decompositions and Sparse Graph Regularity. - Yu Wang, Siddhartha Nalluri, Miroslav Pajic:
Hyperproperties for Robotics: Motion Planning via HyperLTL. - Raul Castro Fernandez, Nan Tang, Mourad Ouzzani, Michael Stonebraker, Samuel Madden:
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery. - Beñat Mencia Uranga, Austen Lamacraft:
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State. - Chao Tang, Yifei Fan, Anthony J. Yezzi:
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense. - Shu-Hao Yeh, Dezhen Song:
Model Quality Aware RANSAC: A Robust Camera Motion Estimator. - Hugh Chen, Scott M. Lundberg, Su-In Lee:
Explaining Models by Propagating Shapley Values of Local Components. - Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba, Achuta Kadambi:
Visual Physics: Discovering Physical Laws from Videos. - Emery D. Berger, Petr Maj, Olga Vitek, Jan Vitek:
FSE/CACM Rebuttal2: Correcting A Large-Scale Study of Programming Languages and Code Quality in GitHub. - Hao Tang, Hong Liu, Dan Xu, Philip H. S. Torr, Nicu Sebe:
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks. - Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. - Joseph Gatto, Ravi Lanka, Yumi Iwashita, Adrian Stoica:
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis. - Max Carlson, Robert M. Kirby, Hari Sundar:
A Scalable Framework for Solving Fractional Diffusion Equations. - Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. - Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu:
Lifelong Spectral Clustering. - Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera:
A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems. - Limeng Cui:
Warning Signs in Communicating the Machine Learning Detection Results of Misinformation with Individuals. - Heng Yang, Luca Carlone:
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks. - Filipi Nascimento Silva, Aditya Tandon, Diego Raphael Amancio, Alessandro Flammini, Filippo Menczer, Stasa Milojevic, Santo Fortunato:
Recency predicts bursts in the evolution of author citations. - Rong-Jun Qin, Jing-Cheng Pang, Yang Yu:
Improving Fictitious Play Reinforcement Learning with Expanding Models. - Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. - Hao Liao, Qi-Xin Liu, Ze-cheng Huang, Chi Ho Yeung:
Accumulative time-based ranking method to reputation evaluation in information networks. - Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang:
Evaluating Commonsense in Pre-trained Language Models. - Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy:
Survey of Attacks and Defenses on Edge-Deployed Neural Networks. - Katsuki Chousa, Katsuhito Sudoh, Satoshi Nakamura:
Simultaneous Neural Machine Translation using Connectionist Temporal Classification. - Lake Bu, Mihailo Isakov, Michel A. Kinsy:
A Secure and Robust Scheme for Sharing Confidential Information in IoT Systems. - Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer:
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition. - Chenghao Guo, Zhiyi Huang, Zhihao Gavin Tang, Xinzhi Zhang:
Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora's Problem. - Monowar Hasan, Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba:
Period Adaptation for Continuous Security Monitoring in Multicore Real-Time Systems. - T. S. Jayram, Vincent Marois, Tomasz Kornuta, Vincent Albouy, Emre Sevgen, Ahmet S. Ozcan:
Transfer Learning in Visual and Relational Reasoning. - Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. - Sung-Ik Choi, Sae-Young Chung:
Novelty Detection Via Blurring. - Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati:
Can Attention Masks Improve Adversarial Robustness? - Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong:
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection. - Siamak Shakeri, Abhinav Sethy:
Label Dependent Deep Variational Paraphrase Generation. - Joel Ruben Antony Moniz, Eunsu Kang, Barnabás Póczos:
LucidDream: Controlled Temporally-Consistent DeepDream on Videos. - Xiaoyu Zhang, Changsheng Li, Haichao Shi, Xiaobin Zhu, Peng Li, Jing Dong:
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization. - Zhengfeng Ji, Zhihan Jin, Pinyan Lu:
Approximating Permanent of Random Matrices with Vanishing Mean: Made Better and Simpler. - Santiago Badia, Jerrad Hampton, Javier Principe:
Embedded multilevel Monte Carlo for uncertainty quantification in random domains. - Zhuo Li, Xu Zhou, Yifang Qin:
A Survey of Mobile Edge Computing in the Industrial Internet. - Domingo Mery, Florencia Valdes:
Graph Representation for Face Analysis in Image Collections. - Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka:
Deep Reinforcement Learning based Adaptive Moving Target Defense. - Abhinav Aggarwal, William F. Vining, Diksha Gupta, Jared Saia, Melanie E. Moses:
A Most Irrational Foraging Algorithm. - John Ericksen, Abhinav Aggarwal, Melanie E. Moses:
On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging. - Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq, Ivan Miguel Pires, Tânia Valente, Nuno M. Garcia, Nuno Pombo:
An Efficient Machine Learning-based Elderly Fall Detection Algorithm. - Yue Wang, Yuke Li, James H. Elder, Runmin Wu, Huchuan Lu:
Class-Conditional Domain Adaptation on Semantic Segmentation. - Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. - Chen Wang, Chengyuan Deng, Vladimir Ivanov:
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. - Ruiqi Lu, Huimin Ma:
Semantic Head Enhanced Pedestrian Detection in a Crowd. - Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. - Yachu Hsu, Hui Wu, Keyou You, Shiji Song:
A selected review on reinforcement learning based control for autonomous underwater vehicles. - Qin Shi, Xiaowei Cui, Sihao Zhao, Shuang Xu, Mingquan Lu:
BLAS: Broadcast Relative Localization and Clock Synchronization for Dynamic Dense Multi-Agent Systems. - Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan:
SecureGBM: Secure Multi-Party Gradient Boosting. - Guoxian Song, Jianmin Zheng, Jianfei Cai, Tat-Jen Cham:
Recovering Facial Reflectance and Geometry from Multi-view Images. - Mohammad A. Ghazizadeh, Abdolmajid Mohammadian, Alexander Kurganov:
An adaptive well-balanced positivity preserving scheme on quadtree grids for shallow water equations. - Justie Su-tzu Juan, Yi-Ching Chen, Chen-Hui Lin, Shu-Chuan Chen:
Measuring similarity between two mixture trees using mixture distance metric and algorithms. - Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Qianhui Luo:
Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs. - Anthony J. Bagnall, James Large, Matthew Middlehurst:
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers. - Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
JEC-QA: A Legal-Domain Question Answering Dataset. - Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness. - Yi Cheng, Sujian Li:
Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping. - Bang Yang, Fenglin Liu, Yuexian Zou:
Non-Autoregressive Video Captioning with Iterative Refinement. - Yo Joong Choe, Kyubyong Park, Dongwoo Kim:
word2word: A Collection of Bilingual Lexicons for 3, 564 Language Pairs. - Raphael Cohen, Michael Elhadad:
Sideways Transliteration: How to Transliterate Multicultural Person Names? - Haoran Yu, Ermin Wei, Randall A. Berry:
Monetizing Mobile Data via Data Rewards. - Olga Petrova, Konstantin B. Bulatov, Vladimir V. Arlazarov:
Methods of Weighted Combination for Text Field Recognition in a Video Stream. - Tan Do-Duy, M. Angeles Vazquez-Castro:
Finite-length performance comparison of network codes using random vs Pascal matrices. - Hui Tang, Kui Jia:
Discriminative Adversarial Domain Adaptation. - Yunzhong Hou, Liang Zheng, Zhongdao Wang, Shengjin Wang:
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking. - Vahid Garousi, Michael Felderer, Mika V. Mäntylä, Austen Rainer:
Benefitting from the Grey Literature in Software Engineering Research. - Matteo Cinelli, Stefano Cresci, Alessandro Galeazzi, Walter Quattrociocchi, Maurizio Tesconi:
The Limited Reach of Fake News on Twitter during 2019 European Elections. - (Withdrawn) Exploring Frequency Domain Interpretation of Convolutional Neural Networks.
- Pan Wang, Shuhang Li, Feng Ye, Zixuan Wang, Moxuan Zhang:
PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN. - Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao, Munkhjargal Gochoo:
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection. - Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao:
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing. - Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu:
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. - Xinjie Yao, Ji Zhang, Jean Oh:
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds. - Anian Brosch, Sören Hanke, Oliver Wallscheid, Joachim Böcker:
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. - Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. - Daoming Liu, Chi Xiong, Xiaopei Liu:
Vectorizing Quantum Turbulence Vortex-Core Lines for Real-Time Visualization. - Kyubyong Park, Yo Joong Choe, Jiyeon Ham:
Jejueo Datasets for Machine Translation and Speech Synthesis. - Miroslav Olsák, Cezary Kaliszyk, Josef Urban:
Property Invariant Embedding for Automated Reasoning. - Jeremy Van den Eynde, Chris Blondia:
Token Bucket-based Throughput Constraining in Cross-layer Schedulers. - Euijin Choo, Mohamed Nabeel, Mashael AlSabah, Issa Khalil, Ting Yu, Wei Wang:
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference. - Su Nam Kim, Preslav Nakov:
Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus. - Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. - Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng:
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting. - Georgios Konstantopoulos:
Plasma Cash: Towards more efficient Plasma constructions. - Matteo Croci, Michael B. Giles, Patrick E. Farrell:
Multilevel quasi Monte Carlo methods for elliptic PDEs with random field coefficients via fast white noise sampling. - Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang:
Decision Propagation Networks for Image Classification. - Jie Yang, Yu-Kai Wang, Xin Yao, Chin-Teng Lin:
Adaptive Initialization Method for K-means Algorithm. - Xujin Chen, Minming Li, Chenhao Wang:
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in Metric Spaces. - Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng:
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. - Nikoleta E. Glynatsi, Vincent A. Knight:
Stability of defection, optimisation of strategies and the limits of memory in the Prisoner's Dilemma. - Vanessa Buhrmester, David Münch, Michael Arens:
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. - Hans-Jürgen Profitlich, Daniel Sonntag:
Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models. - Dmitry Baranchuk, Artem Babenko:
Towards Similarity Graphs Constructed by Deep Reinforcement Learning. - Zhenyu Weng, Yuesheng Zhu:
Online Hashing with Efficient Updating of Binary Codes. - Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li:
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. - Johan F. Hoorn, Johnny K. W. Ho:
Robot Affect: the Amygdala as Bloch Sphere. - Qiao-Le He, Liming Zhao:
Bayesian inference based process design and uncertainty analysis of simulated moving bed chromatographic systems. - Mohammad Rasoul Narimani:
Demand Side Management for Homes in Smart Grids. - Kristóf Bérczi, Tamás Király, Simon Omlor:
Scheduling with Non-Renewable Resources: Minimizing the Sum of Completion Times. - Tobias Fiebig:
Moving Fast and Breaking Things: How to stop crashing more than twice. - Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri:
City2City: Translating Place Representations across Cities. - Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal:
NorNE: Annotating Named Entities for Norwegian. - Ke Yang, Dongsheng Li, Yong Dou:
Towards Precise End-to-end Weakly Supervised Object Detection Network. - Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Driven Wide-Area Control. - David Zimmerer, Jens Petersen, Klaus H. Maier-Hein:
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. - François Tessier, Maxime Martinasso, Matteo Chesi, Mark Klein, Miguel Gila:
Dynamically Provisioning Cray DataWarp Storage. - Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy:
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. - Faniry H. Razafindrazaka, Konstantin Poelke, Konrad Polthier, Leonid Goubergrits:
A Consistent Discrete 3D Hodge-type Decomposition: implementation and practical evaluation. - Elad Hazan, Sham M. Kakade, Karan Singh:
The Nonstochastic Control Problem. - Michele Conforti, Samuel Fiorini, Tony Huynh, Stefan Weltge:
Extended Formulations for Stable Set Polytopes of Graphs Without Two Disjoint Odd Cycles. - Harish P. Bhatt, Abhinandan Chowdhury:
A compact fourth-order implicit-explicit Runge-Kutta type scheme for numerical solution of the Kuramoto-Sivashinsky equation. - Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. - Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone:
Learning Neural Search Policies for Classical Planning. - Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. - Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. - Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. - Bianca Iancu, Gabriele Mazzola, Kyriakos Psarakis, Panagiotis Soilis:
Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges. - Xiaofeng Cai, Sebastiano Boscarino, Jing-Mei Qiu:
High Order Semi-Lagrangian Discontinuous Galerkin Method Coupled with Runge-Kutta Exponential Integrators for Nonlinear Vlasov Dynamics. - Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust Economic Model Predictive Control without Terminal Conditions. - Jesus Zarzar, Silvio Giancola, Bernard Ghanem:
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement. - Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer:
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization. - Roman Schutski, Danil Lykov, Ivan V. Oseledets:
An adaptive algorithm for quantum circuit simulation. - Phu Mon Htut, Jason Phang, Shikha Bordia, Samuel R. Bowman:
Do Attention Heads in BERT Track Syntactic Dependencies? - Asket Kaur, Navya Rao, Tanya Joon:
Literature Review of Action Recognition in the Wild. - Edouard Leurent, Jean Mercat:
Social Attention for Autonomous Decision-Making in Dense Traffic. - Martin Chapman, Vasa Curcin, Elizabeth I. Sklar:
A semi-autonomous approach to connecting proprietary EHR standards to FHIR. - (Withdrawn) Stability of the Decoupled Extended Kalman Filter in the LSTM-Based Online Learning.
- Hajir Roozbehani, Yury Polyanskiy:
Low density majority codes and the problem of graceful degradation. - Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham:
A Vietnamese Question Answering System. - Taha Yasseri, Jannie Reher:
Fooling with facts: Quantifying anchoring bias through a large-scale online experiment. - Abishek Sankararaman, Haris Vikalo, François Baccelli:
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly. - Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. - Andrea Bisoffi, Claudio De Persis, Pietro Tesi:
Data-based guarantees of set invariance properties. - Chongwen Huang, Sha Hu, George C. Alexandropoulos, Alessio Zappone, Chau Yuen, Rui Zhang, Marco Di Renzo, Mérouane Debbah:
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends. - Nestor Sánchez, Tonatiuh Sánchez-Vizuet, Manuel E. Solano:
A priori and a posteriori error analysis of an unfitted HDG method for semi-linear elliptic problems. - Shantanu Chakraborty, Tim Baarslag, Michael Kaisers:
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives. - Yang Liu, Pietro Perona, Markus Meister:
PanDA: Panoptic Data Augmentation. - Neil Gandal, Joshua S. Gans:
More (or Less) Economic Limits of the Blockchain. - Avital Shafran, Gil Segev, Shmuel Peleg, Yedid Hoshen:
Crypto-Oriented Neural Architecture Design. - Sébastien Combéfis, Guillaume de Moffarts:
Automated Generation of Computer Graded Unit Testing-Based Programming Assessments for Education. - Yashas Joshi, Charalambos Poullis:
Inattentional Blindness for Redirected Walking Using Dynamic Foveated Rendering. - Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp:
Multi-View Matching Network for 6D Pose Estimation. - Mehdi Jafari, Magnus Korpas, Audun Botterud:
Power System Decarbonization: Impacts of Energy Storage Duration and Interannual Renewables Variability. - Thanh Bui, Siddharth Prakash Rao, Markku Antikainen, Tuomas Aura:
XSS Vulnerabilities in Cloud-Application Add-Ons. - Mehrdad Niknami:
Inflationary Constant Factors and Why Python is Faster Than C++. - Joseph Lorenzetti, Marco Pavone:
Error Bounds for Reduced Order Model Predictive Control. - Danny Hermelin, Matthias Mnich, Simon Omlor:
Single Machine Batch Scheduling to Minimize the Weighted Number of Tardy Jobs. - Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. - Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-view shape estimation of transparent containers. - Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu:
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? - Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. - Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Continual Multi-task Gaussian Processes. - Suzanne C. Wetstein, Allison M. Onken, Christina Luffman, Gabrielle M. Baker, Michael E. Pyle, Kevin H. Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B. van Leeuwen, Laura C. Collins, Stuart J. Schnitt, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta:
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. - Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. - Chen Li, Yang Ding, Nick Gravish, Ryan D. Maladen, Andrew Masse, Paul B. Umbanhowar, Haldun Komsuoglu, Daniel E. Koditschek, Daniel I. Goldman:
Towards a terramechanics for bio-inspired locomotion in granular environments. - Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. - Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu:
Quantum Wasserstein Generative Adversarial Networks. - Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman, Kyung Hyun Sung:
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention. - Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing:
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. - Martin Welk:
Multivariate Medians for Image and Shape Analysis. - Sreelekha Guggilam, Syed Mohammed Arshad Zaidi, Varun Chandola, Abani K. Patra:
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised). - Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang:
PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features. - Lucas Mentch, Siyu Zhou:
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success. - Pengfei Zhou, Pan Zhang:
Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks. - Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio Ojea, Tsachy Weissman:
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction. - Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang:
Statistical Model Aggregation via Parameter Matching. - O-joung Kwon, Rose McCarty, Sang-il Oum, Paul Wollan:
Obstructions for bounded shrub-depth and rank-depth. - Barbara Re, Rémi Abgrall:
Non-equilibrium Model for Weakly Compressible Multi-component Flows: the Hyperbolic Operator. - Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He:
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database. - Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth:
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. - Heinke Hihn, Daniel A. Braun:
Hierarchical Expert Networks for Meta-Learning. - Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter:
Validation of a deep learning mammography model in a population with low screening rates. - Markus Kantner:
Generalized Scharfetter-Gummel schemes for electro-thermal transport in degenerate semiconductors using the Kelvin formula for the Seebeck coefficient. - Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar:
Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data. - George V. Moustakides, Kalliopi Basioti:
Training Neural Networks for Likelihood/Density Ratio Estimation. - Andrea Basso, Fabien Pazuki:
On the supersingular GPST attack. - Kevin Schlegel:
Approximate Representer Theorems in Non-reflexive Banach Spaces. - Upama Nakarmi, Mahshid Rahnamay-Naeini, Md. Jakir Hossain, Md. Abul Hasnat:
Interaction Graphs for Reliability Analysis of Power Grids: A Survey. - Florian Lieb, Tobias Boskamp, Hans-Georg Stark:
Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers. - Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. - Paul Shealy, Rishi Mukhopadhyay, Stephen Smith, Homayoun Valafar:
Automated Assignment of Backbone Resonances Using Residual Dipolar Couplings Acquired from a Protein with Known Structure. - Niccolò Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti:
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. - Matthias Löffler, Anderson Y. Zhang, Harrison H. Zhou:
Optimality of Spectral Clustering for Gaussian Mixture Model. - Lingling Yang, Leanne Lai-Hang Chan, Yao Lu:
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. - Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan J. Tashev:
Predicting word error rate for reverberant speech. - Tomi Peltola, Jussi Jokinen, Samuel Kaski:
Probabilistic Formulation of the Take The Best Heuristic. - Minghao Tian, Yusu Wang:
A limit theorem for the 1st Betti number of layer-1 subgraphs in random graphs. - Young-Hyun Oh, Hamed Mohammadbagherpoor, Patrick Dreher, Anand Singh, Xianqing Yu, Andy J. Rindos:
Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms. - Jeremy F. Alm, Saeed Moazami, Jorge Montero-Vallejo, Linda Pham, Dave Sexton, Xiaonan Xu:
Improved bounds on the size of the smallest representation of relation algebra 3265 with the aid of a SAT solver. - Hui Xue, Rhodri H. Davies, Louis A. E. Brown, Kristopher D. Knott, Tushar Kotecha, Marianna Fontana, Sven Plein, James C. Moon, Peter Kellman:
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. - Xiang Zou, Lie Yao, Donghua Zhao, Liang Chen, Ying Mao:
The Intrinsic Properties of Brain Based on the Network Structure. - Bin Wang, Xiaofei Wang, Jianhua Guo:
Global Adaptive Generative Adjustment. - Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao:
Domain-Aware No-Reference Image Quality Assessment. - Shengxin Zhu, Andrew J. Wathen:
Sparse inversion for derivative of log determinant. - Razieh Ghaderi, Abolghasem Daeichian:
Simultaneously Parameter Identification and Measurement-Noise Covariance estimation of a Proton Exchange Membrane Fuel Cell. - Yu Qi, Bin Liu, Yueming Wang, Gang Pan:
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces. - Yulong Dong, Xiang Meng, Lin Lin, Robert Kosut, K. Birgitta Whaley:
Robust Control Optimization for Quantum Approximate Optimization Algorithm. - Zahra Nabizadeh, Ghazale Ghorbanzade, Nader Karimi, Shadrokh Samavi:
Image Inpainting by Adaptive Fusion of Variable Spline Interpolations. - Jakub Przybylo:
On the Standard (2, 2)-Conjecture. - Sheona M. M. D. P. Sequeira, Beril Sirmaçek:
A low-cost real-time 3D imaging system for contactless asthma observation. - Marylou Gabrié:
Mean-field inference methods for neural networks. - Jannes Gladrow:
Digital phase-only holography using deep conditional generative models. - Zahra Sobhaninia, Ali Emami, Nader Karimi, Shadrokh Samavi:
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks. - Safiyeh Rezaei, Ali Emami, Nader Karimi, Shadrokh Samavi:
Gland Segmentation in Histopathological Images by Deep Neural Network. - Roman Korol, Nawaf Bou-Rabee, Thomas F. Miller III:
Dimension-free path-integral molecular dynamics without preconditioning. - Daeryong Kim, Bongwon Suh:
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms. - Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth S. Narayanan:
Robust speaker recognition using unsupervised adversarial invariance. - Gábor Simonyi:
Shannon capacity and the categorical product. - Zhaoheng Ni, Michael I. Mandel:
Onssen: an open-source speech separation and enhancement library. - Philippe G. LeFloch, Jean-Marc Mercier:
The Transport-based Mesh-free Method (TMM) and its applications in finance: a review. - Shigang Liu, Jun Zhang, Yang Xiang, Wanlei Zhou, Dongxi Xiang:
A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification. - Samuel P. Loomis, James P. Crutchfield:
Thermal Efficiency of Quantum Memory Compression. - Enzo Busseti:
Seasonally-Adjusted Auto-Regression of Vector Time Series. - Yash Deshpande, Adel Javanmard, Mohammad Mehrabi:
Online Debiasing for Adaptively Collected High-dimensional Data. - Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. - Yann Disser, Oliver Friedmann, Alexander V. Hopp:
An Exponential Lower Bound for Zadeh's pivot rule. - Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Evolving Structures in Complex Systems. - Iordanis Kerenidis, Jonas Landman, Anupam Prakash:
Quantum Algorithms for Deep Convolutional Neural Networks. - Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne:
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. - Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea A. Mammoli, Atsushi Ishigame:
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data. - Stefanie Gerke, Balázs Mezei, Gregory B. Sorkin:
Successive shortest paths in complete graphs with random edge weights. - Yixing Huang, Lei Gao, Alexander Preuhs, Andreas K. Maier:
Field of View Extension in Computed Tomography Using Deep Learning Prior. - Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee:
Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores. - Alexey A. Kytmanov, Alexander P. Lyapin, Timur M. Sadykov:
Computing Rational Generating Function of a Solution to the Initial Value Problem of Two-dimensional Difference Equation with Constant Coefficients. - Tarek Frikha:
Source localization of the EEG human brainwaves activities via all the different mother wavelets families for stationary wavelet transform decomposition. - Charles Millard, Aaron T. Hess, Boris Mailhé, Jared Tanner:
An Approximate Message Passing Algorithm for Rapid Parameter-Free Compressed Sensing MRI. - Shiva Shankar:
Controllability and Vector Potential: Six Lectures at Steklov. - Antonella Abbà, Luca Bonaventura, Alessandro Recanati, Matteo Tugnoli:
Dynamical p-adaptivity for LES of compressible flows in a high order DG framework. - Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. - Hervé Bredin, Ruiqing Yin, Juan Manuel Coria, Gregory Gelly, Pavel Korshunov, Marvin Lavechin, Diego Fustes, Hadrien Titeux, Wassim Bouaziz, Marie-Philippe Gill:
pyannote.audio: neural building blocks for speaker diarization. - Enrico Fini, Alessio Brutti:
Supervised online diarization with sample mean loss for multi-domain data. - Jared Culbertson, Paul Gustafson, Daniel E. Koditschek, Peter F. Stiller:
Formal composition of hybrid systems. - Arthur Bottois, Nicolae Cîndea, Arnaud Münch:
Uniform observability of the one-dimensional wave equation for non-cylindrical domains. Application to the control's support optimization. - Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Asymptotic Consistency of Loss-Calibrated Variational Bayes. - Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Erika Hussey, Eric L. Miller:
Optimal Transport Based Change Point Detection and Time Series Segment Clustering. - Philip S. Chodrow, Andrew Mellor:
Annotated Hypergraphs: Models and Applications. - Li Li, Zhu Li, Shan Liu, Houqiang Li:
Video-based compression for plenoptic point clouds. - Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Inferring Coordination Strategies from Time Series of Movement Data. - Michalis K. Titsias, Petros Dellaportas:
Gradient-based Adaptive Markov Chain Monte Carlo. - Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. - Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent:
Amortized Population Gibbs Samplers with Neural Sufficient Statistics. - Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Improved BiGAN training with marginal likelihood equalization. - Kyle Cranmer, Johann Brehmer, Gilles Louppe:
The frontier of simulation-based inference. - Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne:
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. - Andre Wibisono:
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry. - Abdullah Karaaslanli, Selin Aviyente:
Constrained Spectral Clustering for Dynamic Community Detection. - Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. - Michael Kompatscher:
CC-circuits and the expressive power of nilpotent algebras. - Yi Zhu, Jing Dong:
Statistical Inference for Model Parameters in Stochastic Gradient Descent via Batch Means. - Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo:
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses. - (Withdrawn) Halfway to Hadwiger's Conjecture.
- Sebastian Acosta:
Local on-surface radiation condition for multiple scattering of waves from convex obstacles. - Dan Reznik, Ronaldo Garcia, Jair Koiller:
Can the Elliptic Billiard Still Surprise Us? - Richard C. Tillquist, Manuel E. Lladser:
Multilateration of Random Networks with Community Structure. - Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe:
Generalized Self-concordant Hessian-barrier algorithms. - Haoqi Li, Ming Tu, Jing Huang, Shrikanth S. Narayanan, Panayiotis G. Georgiou:
Speaker-invariant Affective Representation Learning via Adversarial Training. - Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen:
Scalable Deep Generative Relational Models with High-Order Node Dependence. - Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang:
Online tuning and light source control using a physics-informed Gaussian process Adi. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
A Girsanov type representation of quadratic-exponential cost functionals for linear quantum stochastic systems. - Matthias Brugger:
Limitations of the Hyperplane Separation Technique for Bounding the Extension Complexity of Polytopes. - Anant Raj, Cameron Musco, Lester Mackey:
Importance Sampling via Local Sensitivity. - Tsuyoshi Yoshida, Alex Alvarado, Magnus Karlsson, Erik Agrell:
Post-FEC BER Prediction for Bit-Interleaved Coded Modulation with Probabilistic Shaping. - Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas W. D. Evans, Md. Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, Sébastien Le Maguer, Markus Becker, Fergus Henderson, Rob Clark, Yu Zhang, Quan Wang, Ye Jia, Kai Onuma, Koji Mushika, Takashi Kaneda, Yuan Jiang, Li-Juan Liu, Yi-Chiao Wu, Wen-Chin Huang, Tomoki Toda, Kou Tanaka, Hirokazu Kameoka, Ingmar Steiner, Driss Matrouf, Jean-François Bonastre, Avashna Govender, Srikanth Ronanki, Jing-Xuan Zhang, Zhen-Hua Ling:
The ASVspoof 2019 database. - Se-Yun Um, Sangshin Oh, Kyungguen Byun, Inseon Jang, Chunghyun Ahn, Hong-Goo Kang:
Emotional speech synthesis with rich and granularized control. - Gábor Ivanyos, Antoine Joux, Miklos Santha:
Discrete logarithm and Diffie-Hellman problems in identity black-box groups. - Jianchen Zhu, Tong Zhang, Shengjie Zhao, Carlos Hinojosa, Zengli Liu, Gonzalo R. Arce:
Spatial Sparse subspace clustering for Compressive Spectral imaging. - Martin J. Gander, Felix Kwok, Julien Salomon:
PARAOPT: A parareal algorithm for optimality systems. - Mihir Durve, Fernando Peruani, Antonio Celani:
Learning to flock through reinforcement. - Magnus Wiese, Lianjun Bai, Ben Wood, Hans Buehler:
Deep Hedging: Learning to Simulate Equity Option Markets. - Chieh-Fang Teng, Andrew Kuan-Shiuan Ho, Chen-Hsi Derek Wu, Sin-Sheng Wong, An-Yeu Wu:
Convolutional Neural Network-aided Bit-flipping for Belief Propagation Decoding of Polar Codes. - Chieh-Fang Teng, An-Yeu Wu:
Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss. - Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz:
LACI: Low-effort Automatic Calibration of Infrastructure Sensors. - Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides:
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. - Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. - Chen Li, Andrew O. Pullin, Duncan W. Haldane, Han K. Lam, Ronald S. Fearing, Robert J. Full:
Terradynamically streamlined shapes in animals and robots enhances traversability through densely cluttered terrain. - Yue Fan, Jiawen Kang, Lantian Li, Kaicheng Li, Haolin Chen, Sitong Cheng, Pengyuan Zhang, Ziya Zhou, Yunqi Cai, Dong Wang:
CN-CELEB: a challenging Chinese speaker recognition dataset. - Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi:
Fast acoustic scattering using convolutional neural networks. - Taejun Kim, Juhan Nam:
Temporal Feedback Convolutional Recurrent Neural Networks for Keyword Spotting. - Zhiyuan Peng, Siyuan Feng, Tan Lee:
Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal. - Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois:
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks. - Wenjun Zhang, Weibing Deng, Wei Li:
Statistical Properties of Links of Network: A Survey on the Shipping Lines of Worldwide Marine Transport Network. - Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, Yang Liu:
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems. - Martin Hutzenthaler, Arnulf Jentzen, Felix Lindner, Primoz Pusnik:
Strong convergence rates on the whole probability space for space-time discrete numerical approximation schemes for stochastic Burgers equations. - Abel Dasylva, Arthur Goussanou, David Ajavon, Hanan Abousaleh:
Revisiting the probabilistic method of record linkage. - Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Out of distribution detection for intra-operative functional imaging. - Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev:
3D Deformable Convolutions for MRI classification. - Hamidreza Baradaran Kashani, Ata Jodeiri, Mohammad Mohsen Goodarzi, Iman Sarraf Rezaei:
Speech Enhancement via Deep Spectrum Image Translation Network. - Qiang Hu, Feifei Gao, Hao Zhang, Shi Jin, Geoffrey Ye Li:
Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison. - Pavel Berkovich, Eric Perim, Wessel P. Bruinsma:
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models. - Christino Tamon, Weichen Xie:
A Note on Quantum Markov Models. - Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang:
On the Quantum Complexity of Closest Pair and Related Problems. - Yuyuan Luo, Laura P. Schaposnik:
Minimal percolating sets for mutating infectious diseases. - Noga Alon, Guy Moshkovitz:
On Generalized Regularity. - Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. - Laura Alessandretti, Andrea Baronchelli, Yang-Hui He:
Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. - Fan Zhou, Ping Li:
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. - Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao:
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. - Humoud Alsabah, Agostino Capponi, Octavio Ruiz Lacedelli, Matt Stern:
Robo-advising: Learning Investors' Risk Preferences via Portfolio Choices. - Weilin Fu, Lennart Husvogt, Stefan B. Ploner, James G. Fujimoto, Andreas K. Maier:
Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse. - Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. - Gregory P. Meyer:
An Alternative Probabilistic Interpretation of the Huber Loss. - Cyril Cadoux, Stefan Uhlich, Marc Ferras, Yuki Mitsufuji:
Closing the Training/Inference Gap for Deep Attractor Networks. - Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mary Roth, Vandana V. Mukherjee, James H. Kaufman:
OMXWare, A Cloud-Based Platform for Studying Microbial Life at Scale. - Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne:
Designing over uncertain outcomes with stochastic sampling Bayesian optimization. - Weipeng He, Lu Lu, Biqiao Zhang, Jay Mahadeokar, Kaustubh Kalgaonkar, Christian Fuegen:
Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks. - Amir H. Abdi, Teresa Tsang, Purang Abolmaesumi:
GAN-enhanced Conditional Echocardiogram Generation. - Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy:
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. - Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek:
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems. - Ryan Burdett, Michael Haythorpe:
An improved binary programming formulation for the secure domination problem. - Shuhan Yao, Jiuxiang Gu, Peng Wang, Tianyang Zhao, Huajun Zhang, Xiaochuan Liu:
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach. - Takuya Fujioka, Dario Bertero, Takeshi Homma, Kenji Nagamatsu:
Addressing Ambiguity of Emotion Labels Through Meta-Learning. - Uma Girish, Ran Raz, Avishay Tal:
Quantum versus Randomized Communication Complexity, with Efficient Players. - Vaishnav Chandak, Priyansh Saxena, Manisha Pattanaik, Gaurav Kaushal:
Semantic Image Completion and Enhancement using Deep Learning. - Dor Elimelech:
Permutations With Restricted Movement. - Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu:
A comparison of end-to-end models for long-form speech recognition. - Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens:
Optimization with soft Dice can lead to a volumetric bias. - Tianqi Hou, Haiping Huang:
Statistical physics of unsupervised learning with prior knowledge in neural networks. - Kangda Zhi, Guangji Chen, Ling Qiu, Xiaowen Liang, Chenhao Ren:
Analysis and Optimization of Random Cache in Multi-Antenna HetNets with Interference Nulling. - Hua Wang, Zhaoxia Yin:
Reversible Adversarial Examples based on Reversible Image Transformation. - Jaroslaw Duda, Robert Syrek, Henryk Gurgul:
Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction. - Chi-Ning Chou, Mien Brabeeba Wang:
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA. - Petr Mánek, Benedikt Bergmann, Petr Burian, Lukás Meduna, Stanislav Pospísil, Michal Suk:
Randomized Computer Vision Approaches for Pattern Recognition in Timepix and Timepix3 Detectors. - Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio, Nicholas Prouse, Julian Z. Ding:
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors. - Ziyuan Pu, Shuo Wang, Chenglong Liu, Zhiyong Cui, Yinhai Wang:
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data. - Md. Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas W. D. Evans, Sébastien Marcel, Stefano Squartini, Claude Barras:
The Speed Submission to DIHARD II: Contributions & Lessons Learned. - Ryan Yandle, Rishi Mukhopadhyay, Homayoun Valafar:
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology. - Nan Xu, Xiao Qiu, Bo Xu, Junyuan Shu, Ka Ho Wan:
Dynamic Energy Beacon: An Adaptive and Cost-effective Energy Harvesting and Power Management System for A Better Life. - Andrew Gilbert, Marit Holden, Line Eikvil, Mariia Rakhmail, Aleksandar Babic, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer. - Francesco Farina, Andrea Camisa, Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
DISROPT: a Python Framework for Distributed Optimization. - Maddalena Torricelli, Márton Karsai, Laetitia Gauvin:
weg2vec: Event embedding for temporal networks. - Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse:
An Information Theory Approach on Deciding Spectroscopic Follow Ups. - Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach. - Alexander J. McCaskey, Dmitry I. Lyakh, Eugene F. Dumitrescu, Sarah S. Powers, Travis S. Humble:
XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing. - Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Lu Jun:
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis. - Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone:
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. - Junming Yang, Yaoqi Li, Xuanyu Chen, Jiahang Cao, Kangkang Jiang:
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. - Mohammad Ashiqur Rahman, Rahat Masum, Matthew Anderson, Steven L. Drager:
Trajectory Synthesis for a UAV Swarm to Perform Resilient Requirement-Aware Surveillance: A Smart Grid-based Study. - Issam W. Damaj, Jean J. Saade, Hala Al-Faisal, Hassan B. Diab:
Fuzzy Inference Procedure for Intelligent and Automated Control of Refrigerant Charging. - Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles W. Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing:
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. - Sean W. Gart, Changxin Yan, Ratan Othayoth, Zhiyi Ren, Chen Li:
Dynamic traversal of large gaps by insects and legged robots reveals a template. - Sean W. Gart, Chen Li:
Body-terrain interaction affects large bump traversal of insects and legged robots. - Gorav Jindal, Anurag Pandey, Himanshu Shukla, Charilaos Zisopoulos:
How many zeros of a random sparse polynomial are real? - Daniel Grier, Luke Schaeffer:
Interactive shallow Clifford circuits: quantum advantage against NC1 and beyond. - Glen Evenbly:
TensorTrace: an application to contract tensor networks. - Rachel Carrington, Karthik Bharath, Simon Preston:
Invariance and identifiability issues for word embeddings. - Shirantha Welikala, Christos G. Cassandras:
Asymptotic Analysis for Greedy Initialization of Threshold-Based Distributed Optimization of Persistent Monitoring on Graphs. - Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier:
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. - Tom Kelly, Luke Postle:
On the density of critical graphs with no large cliques. - Tom Kelly, Luke Postle:
A local epsilon version of Reed's Conjecture. - David H. Wolpert:
Uncertainty relations and fluctuation theorems for Bayes nets. - Craig Gin, Bethany Lusch, Steven L. Brunton, J. Nathan Kutz:
Deep Learning Models for Global Coordinate Transformations that Linearize PDEs. - Meimei Liu, Zhengwu Zhang, David B. Dunson:
Auto-encoding graph-valued data with applications to brain connectomes. - Han Bao:
Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae. - Jonathan Scarlett:
An Efficient Algorithm for Capacity-Approaching Noisy Adaptive Group Testing. - Matthew Ho, Mile Gu, Thomas J. Elliott:
Robust inference of memory structure for efficient quantum modelling of stochastic processes. - Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey:
Confidence Intervals for Policy Evaluation in Adaptive Experiments. - Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi:
Machine learning for molecular simulation. - Akinori Hosoyamada, Yu Sasaki, Seiichiro Tani, Keita Xagawa:
Quantum Algorithm for the Multicollision Problem. - Fan Zhang, Mariana Afonso, David R. Bull:
ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation. - Jun Zhang, Xianghao Yu, Khaled Ben Letaief:
Hybrid Beamforming for 5G and Beyond Millimeter-Wave Systems: A Holistic View. - Semin Joung, Jaewook Kim, Sehyun Kwak, J. G. Bak, S. G. Lee, H. S. Han, H. S. Kim, Geunho Lee, Daeho Kwon, Young-chul Ghim:
Deep neural network Grad-Shafranov solver constrained with measured magnetic signals. - Bruno Scalzo Dees, Danilo P. Mandic:
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables. - Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using the PARAFAC2 Model. - Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. - Joy Bose, Sumanta Mukherjee:
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers. - Khaled Alshehri, Mariola Ndrio, Subhonmesh Bose, Tamer Basar:
Quantifying Market Efficiency Impacts of Aggregated Distributed Energy Resources. - Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King:
Learning-Accelerated ADMM for Distributed Optimal Power Flow. - Qiyuan Hu, Heather M. Whitney, Maryellen L. Giger:
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
Frequency-domain computation of quadratic-exponential cost functionals for linear quantum stochastic systems. - Xiangrui Zeng, Min Xu:
AITom: Open-source AI platform for cryo-electron Tomography data analysis. - Christos Kotsalos, Jonas Latt, Joël Bény, Bastien Chopard:
Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport. - Jiawei Zhang, Jie Ding, Yuhong Yang:
A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). - Anthony Leverrier, Vivien Londe, Gilles Zémor:
Towards local testability for quantum coding. - Christopher Harshaw, Fredrik Sävje, Daniel A. Spielman, Peng Zhang:
Balancing covariates in randomized experiments using the Gram-Schmidt walk. - Xu Li, Jinghua Zhong, Xixin Wu, Jianwei Yu, Xunying Liu, Helen Meng:
Adversarial Attacks on GMM i-vector based Speaker Verification Systems. - Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. - Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré:
Ground Metric Learning on Graphs. - Attayeb Mohsen, Muftah Al-Mahdawi, Mostafa M. Fouda, Mikihiko Oogane, Yasuo Ando, Zubair Md. Fadlullah:
AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application. - Eurico Covas:
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field. - Antoine Guillot, Fabien Sauvet, Emmanuel H. During, Valentin Thorey:
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging. - Zachary del Rosario, Yoolhee Kim, Matthias Rupp, Erin Antono, Julia Ling:
Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization. - Chi Ding, Zheng Cao, Matthew S. Emigh, José C. Príncipe, Bing Ouyang, Anni K. Vuorenkoski, Fraser R. Dalgleish, Brian Ramos, Yanjun Li:
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image. - Dan Schwartz, Mariya Toneva, Leila Wehbe:
Inducing brain-relevant bias in natural language processing models. - Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki:
Imperceptible Adversarial Attacks on Tabular Data. - Giona Casiraghi, Antonios Garas, Frank Schweitzer:
Probing the robustness of nested multi-layer networks. - Hankui Peng, Nicos G. Pavlidis:
Subspace Clustering with Active Learning. - Zhanhong Jiang, Young M. Lee:
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. - Yaroslav Koshka, Mark A. Novotny:
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination. - Guillermo Angeris, Hsien-Tang Kao, Rei Chiang, Charlie Noyes, Tarun Chitra:
An analysis of Uniswap markets. - Antonio Cossidente, Sascha Kurz, Giuseppe Marino, Francesco Pavese:
Combining subspace codes. - Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr:
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models. - Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar:
Theoretical Guarantees for Model Auditing with Finite Adversaries. - Claire Donnat, Susan P. Holmes:
Convex Hierarchical Clustering for Graph-Structured Data. - Jacob Fox, Jonathan Tidor, Yufei Zhao:
Induced arithmetic removal: complexity 1 patterns over finite fields. - Liu Yang, Rudrasis Chakraborty:
An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging. - Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, Paul Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin:
Scaling advantage in quantum simulation of geometrically frustrated magnets. - Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Image Demoireing: Methods and Results. - (Withdrawn) Image Super-Resolution via Residual Blended Attention Generative Adversarial Network with Dual Discriminators.
- A. M. Ishtiaque Mahbub, Andreas A. Malikopoulos:
Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation. - Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. - Soham Dan, Dushyant Sahoo:
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization. - Changqing Wang, Xuefeng Jiang, Guangming Zhao, Mengzhen Zhang, Chia-Wei Hsu, Bo Peng, A. Douglas Stone, Liang Jiang, Lan Yang:
Electromagnetically induced transparency at a chiral exceptional point. - Xuan Xu, Yanfang Ye, Xin Li:
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization. - Clarice Poon, Gabriel Peyré:
Degrees of freedom for off-the-grid sparse estimation. - Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination. - Mapundi K. Banda, Michael Herty, Torsten Trimborn:
Recent developments in controlled crowd dynamics. - Cristian Guillermo Gebhardt, Ignacio Romero:
The rotating rigid body model based on a non-twisting frame. - Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi:
Bayesian Active Learning for Structured Output Design. - Eduard Eiben, William Lochet, Saket Saurabh:
A Polynomial Kernel for Paw-Free Editing. - Lloyd N. Trefethen:
Numerical conformal mapping with rational functions. - Hendrik Richter:
Evolution of Cooperation for Multiple Mutant Configurations on All Regular Graphs with N≤14 players. - Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, Sohaib Ahmed, Hamail Ayaz:
Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. - Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization. - Junjie Li, Ding Liu:
Information Bottleneck Methods on Convolutional Neural Networks. - Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert:
Deep learning for cardiac image segmentation: A review. - Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. - Johnny Werner, Márcio H. Costa:
Speech Dereverberation and Noise Reduction for both diffusive noise field and point noise source in Binaural Hearing Aids: Preliminary Version. - Fernando Castaños, Félix A. Miranda-Villatoro, Alessio Franci:
A notion of equivalence for linear complementarity problems with application to the design of non-smooth bifurcations. - Susan Jia Xu, Qian Xie, Joseph Y. J. Chow, Xintao Liu:
Empirical validation of network learning with taxi GPS data from Wuhan, China. - Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty:
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting. - Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. - Joseph E. Gaudio, Anuradha M. Annaswamy, Eugene Lavretsky, Michael A. Bolender:
Parameter Estimation in Adaptive Control of Time-Varying Systems Under a Range of Excitation Conditions. - Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu:
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics. - Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan:
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. - Sandeep Madireddy, Nan Li, Nesar Ramachandra, Prasanna Balaprakash, Salman Habib:
Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images. - Kai Mei, Jun Liu, Xiaochen Zhang, Jibo Wei:
Machine Learning Based Channel Estimation: A Computational Approach for Universal Channel Conditions. - Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Arumugam Nallanathan:
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing. - Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders. - Muhammad H. Fares, Hadi Moradi, Mahmoud Shahabadi:
SLTR: Simultaneous Localization of Target and Reflector in NLOS Condition Using Beacons. - Hongying Liu, Hao Wang, Mengmeng Song:
A unified approach for projections onto the intersection of 𝓁1 and 𝓁2 balls or spheres. - Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan:
Multi-Armed Bandits with Correlated Arms. - Sergey Slavnov:
Classical linear logic, cobordisms and categorial grammars. - Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-margin Softmax Loss for Speaker Diarisation. - Mohammad Hamed Mozaffari, Md. Aminur Rab Ratul, Won-Sook Lee:
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision. - Bahman Kalantari:
On the Equivalence of SDP Feasibility and a Convex Hull Relaxation for System of Quadratic Equations. - Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression. - Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin:
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona. - Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin:
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning. - Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. - Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar:
LMLFM: Longitudinal Multi-Level Factorization Machine. - Mehdi Rahmati, Archana Arjula, Dario Pompili:
Compressed Underwater Acoustic Communications for Dynamic Interaction with Underwater Vehicles. - Behdad Chalaki, Andreas A. Malikopoulos:
Hierarchical Optimal Coordination Framework for Connected and Automated Vehicles in Multiple Intersections. - Wenqian Fang, Lihua Fu, Meng Zhang, Zhiming Li:
Seismic data interpolation based on U-net with texture loss. - Shi-Xin Zhang:
Classification on the Computational Complexity of Spin Models. - Marc Wiedermann, E. Keith Smith, Jobst Heitzig, Jonathan F. Donges:
A network-based microfoundation of Granovetter's threshold model for social tipping. - Jinxue Liu, Hancheng Lu:
IMNet: A Learning Based Detector for Index Modulation Aided MIMO-OFDM Systems. - Hiroshi Kera, Yoshihiko Hasegawa:
Gradient Boosts the Approximate Vanishing Ideal. - Julian Fischer, Daniel Matthes:
The waiting time phenomenon in spatially discretized porous medium and thin film equations. - Alex R. Rigby, Jan C. Olivier, Peter Jarvis:
Optimizing short stabilizer codes for asymmetric channels. - Oliver Knill:
Poincare Hopf for vector fields on graphs. - Tuyen Trung Truong:
Convergence to minima for the continuous version of Backtracking Gradient Descent. - Guanghua Shi:
Variational Representations related to Quantum Rényi Relative Entropies. - Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas, Richard Strange, Matt J. Kusner, Duncan Watson-Parris:
Cumulo: A Dataset for Learning Cloud Classes. - Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu, Yu Nakagome:
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. - Ahmet M. Elbir, Anastasios K. Papazafeiropoulos:
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach. - Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. - Abhiram Singh, Ashwin Gumaste:
Decoding Imagined Speech and Computer Control using Brain Waves. - Shudi Yang, Chuangqiang Hu:
Weierstrass Semigroups From a Tower of Function Fields Attaining the Drinfeld-Vladut Bound. - Raphael Araujo Sampaio, Gerson Couto Oliveira, Luiz Carlos da Costa Jr., Joaquim Dias Garcia:
Community Detection for Power Systems Network Aggregation Considering Renewable Variability. - Patrick Flaherty, Pitchaya Wiratchotisatian, Ji Ah Lee, Andrew C. Trapp:
Maximum a-Posteriori Estimation for the Gaussian Mixture Model via Mixed Integer Nonlinear Programming. - Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima:
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. - Matthias Mehlhose, Daniyal Amir Awan, Renato L. G. Cavalcante, Martin Kurras, Slawomir Stanczak:
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. - Ting Tao, Shaohua Pan, Shujun Bi:
Error bound of local minima and KL property of exponent 1/2 for squared F-norm regularized factorization. - Jiayi He, Aravind Sampath Kumar, Arun Chada, Bhyrav Mutnury, James Drewniak:
Machine Learning for high speed channel optimization. - Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic:
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness. - Gershon Wolansky:
Optimal partitions and Semi-discrete optimal transport. - Talha Cihad Gulcu:
Stronger Convergence Results for Deep Residual Networks: Network Width Scales Linearly with Training Data Size. - Steven Guan, Amir A. Khan, Siddhartha Sikdar, Parag V. Chitnis:
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning. - Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang:
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. - Weike Sun, Antonio R. C. Paiva, Peng Xu, Anantha Sundaram, Richard D. Braatz:
Fault Detection and Identification using Bayesian Recurrent Neural Networks. - Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava:
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging. - Cyrille W. Combettes, Sebastian Pokutta:
Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm. - Tanvir Ferdousi, Sifat Afroj Moon, Adrian Self, Caterina M. Scoglio:
Generation of swine movement network and analysis of efficient mitigation strategies for African swine fever virus. - Kui Wang, Jian Sun, Chenye Wu, Yang Yu:
Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling. - Prateek Jain, Amit Mahesh Joshi, Saraju P. Mohanty:
iGLU 1.0: An Accurate Non-Invasive Near-Infrared Dual Short Wavelengths Spectroscopy based Glucometer for Smart Healthcare. - Mohammad Rasoul Tanhatalab, Hossein Yousefi, Hesam Mohammad Hosseini, Mostafa Mofarah Bonab, Vahid Fakharian, Hadis Abarghouei:
Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network. - Weisi Guo:
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine. - Fábio Botler, Maycon Sambinelli:
Towards Gallai's path decomposition conjecture. - Daniel Steck, Christian Kanzow:
Regularization of Limited Memory Quasi-Newton Methods for Large-Scale Nonconvex Minimization. - Hongsheng Qi, Biqiang Mu, Ian R. Petersen, Guodong Shi:
Measurement-Induced Boolean Dynamics for Open Quantum Networks. - Ziheng Chen, Hongshik Ahn:
Item Response Theory based Ensemble in Machine Learning. - Milan Hanus:
Weak Scaling of DSA Preconditioning of Transport Sweeps using HYPRE. - Qi Ni, Ming Tang, Ying Liu, Ying-Cheng Lai:
Machine learning dynamical phase transitions in complex networks. - Ala Alobeidyeen, Lili Du:
Interference and Efficient Transmission Range via V2V Communication at Roads Traffic Intersections. - David Abramov, Jasmine Otto, Mahika Dubey, Cassia Artanegara, Pierre Boutillier, Walter Fontana, Angus G. Forbes:
RuleVis: Constructing Patterns and Rules for Rule-Based Models. - Juliano Henrique Foleiss, Tiago Fernandes Tavares:
Segment Relevance Estimation for Audio Analysis and Weakly-Labelled Classification. - Yuki Takeuchi, Tomoyuki Morimae, Seiichiro Tani:
Sumcheck-based delegation of quantum computing to rational server. - Radu Ioan Bot, Sorin-Mihai Grad, Dennis Meier, Mathias Staudigl:
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure. - Prashant Chaudhari, Franziska Schirrmacher, Andreas K. Maier, Christian Riess, Thomas Köhler:
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing. - José V. Manjón, Pierrick Coupé:
MRI denoising using Deep Learning and Non-local averaging. - Guillermo Cámbara, Jordi Luque, Mireia Farrús:
Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing. - Yong Ruan, Xiangdong Wang, Hong Liu, Zhigang Ou, Yun Gao, Jianfeng Cheng, Yueliang Qian:
An End-to-end Approach for Lexical Stress Detection based on Transformer. - Takaki Makino, Hank Liao, Yannis M. Assael, Brendan Shillingford, Basilio Garcia, Otavio Braga, Olivier Siohan:
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition. - Hamdan Awan, Kareem Zeid, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford:
Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments. - Danilo Avola, Marco Cascio, Luigi Cinque, Daniele Pannone:
Wi-Fi Passive Person Re-Identification based on Channel State Information. - Nanxin Chen, Shinji Watanabe, Jesús Villalba, Najim Dehak:
Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition. - Jesus Lago, Karel De Brabandere, Fjo De Ridder, Bart De Schutter:
Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data. - Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum:
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. - Isabella Czedik-Eysenberg, Oliver J. Wieczorek, Christoph Reuter:
'Warriors of the Word' - Deciphering Lyrical Topics in Music and Their Connection to Audio Feature Dimensions Based on a Corpus of Over 100, 000 Metal Songs. - Mohammed Elhenawy, Arash Jahangiri, Hesham Rakha:
Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach. - Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montañez:
The Bias-Expressivity Trade-off. - Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana:
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. - Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum:
Automatic Online Quality Control of Synthetic CTs. - Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Xiaocong Yuan:
Visual cryptography in single-pixel imaging. - Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. - Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh:
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. - Xin Li, Yaohua Hu, Chong Li, Xiaoqi Yang, Tianzi Jiang:
Sparse estimation via 𝓁q optimization method in high-dimensional linear regression. - Yoonjung Kim, Jeremy C. Weiss:
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction. - Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision. - Nicholas Beale, Heather Battey, Anthony C. Davison, Robert S. MacKay:
An Unethical Optimization Principle. - Francisco Freitas, Allan R. Vieira, Celia Anteneodo:
Imperfect bifurcations in opinion dynamics under external fields. - Tim Mitchell:
Fast Computation of Sepλ via Interpolation-based Globality Certificates. - Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara, Kiret Dhindsa:
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps. - Ren Yi, Pi-Chuan Chang, Gunjan Baid, Andrew Carroll:
Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling. - Shimiao Li, Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, Larry T. Pileggi:
A LASSO-Inspired Approach for Localizing Power System Infeasibility. - Wang Peng, Lili Du:
Coordination Group Formation for OnLine Coordinated Routing Mechanisms. - Zhongruo Wang:
Nonconvex Stochastic Nested Optimization via Stochastic ADMM. - Antonio Orvieto, Aurélien Lucchi:
Shadowing Properties of Optimization Algorithms. - Amanda J. Minnich, Kevin McLoughlin, Margaret Tse, Jason Deng, Andrew Weber, Neha Murad, Benjamin D. Madej, Bharath Ramsundar, Tom Rush, Stacie Calad-Thomson, Jim Brase, Jonathan E. Allen:
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. - Benny Gamus, Lior Salem, Amir D. Gat, Yizhar Or:
Understanding Legged Crawling for Soft-Robotics. - Abdelrahman Zayed, Hassan Rivaz:
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis. - Abdelrahman Zayed, Hassan Rivaz:
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography. - Ziqi Ke, Haris Vikalo:
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. - Wankai Tang, Ming Zheng Chen, Xiangyu Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Yong Zeng, Shi Jin, Qiang Cheng, Tie Jun Cui:
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement. - Shingo Yashima, Atsushi Nitanda, Taiji Suzuki:
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features. - Biswarup Das, Eugene A. Golikov:
Quadratic number of nodes is sufficient to learn a dataset via gradient descent. - Asim Iqbal, Phil Dong, Christopher M. Kim, Heeun Jang:
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network. - Yair Censor, Stefania Petra, Christoph Schnörr:
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case. - Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy:
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition. - Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri:
Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor. - Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja:
Anomaly Detection in Large Scale Networks with Latent Space Models. - Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Khalil Moretti, Mohammed AlQuraishi, Chen Keasar, Itsik Pe'er:
Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations. - Phani Kumar Nyshadham, D. R. Shivakumar, Peter Kroon, Shmulik Markovich-Golan:
Enhanced Voice Post Processing Using Voice Decoder Guidance Indicators. - Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian:
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation. - Rui Zhang, Rui Yao, Yao Xie, Feng Qiu:
Quickest detection of cascading failure. - Johannes Ruf, Weiguan Wang:
Neural networks for option pricing and hedging: a literature review. - Alexander P. Kartun-Giles, Suhanya Jayaprakasam, Sunwoo Kim:
Euclidean Matchings in Ultra-Dense Networks. - Timmy Li, Yi Huang, James Evans, Ishanu Chattopadhyay:
Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks. - Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha:
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues. - Dongdong Zhang, Dong Cao, Haibo Chen:
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface. - Rohan Gala, Nathan W. Gouwens, Zizhen Yao, Agata Budzillo, Osnat Penn, Bosiljka Tasic, Gabe Murphy, Hongkui Zeng, Uygar Sümbül:
A coupled autoencoder approach for multi-modal analysis of cell types. - Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Error bounds for some approximate posterior measures in Bayesian inference. - Harry Buhrman, Subhasree Patro, Florian Speelman:
The Quantum Strong Exponential-Time Hypothesis. - Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi:
Deep learning velocity signals allows to quantify turbulence intensity. - Joel Friedman, David Kohler:
A Relativized Alon Second Eigenvalue Conjecture for Regular Base Graphs IV: An Improved Sidestepping Theorem. - Hira Dhamyal, Shahan Ali Memon, Bhiksha Raj, Rita Singh:
The phonetic bases of vocal expressed emotion: natural versus acted. - Felix H. Kong, Jiaheng Zhao, Liang Zhao, Shoudong Huang:
Analysis of minima for geodesic and chordal cost for a minimal 2D pose-graph SLAM problem. - Xinyu Liu, Pascal Van Hentenryck, Xilei Zhao:
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. - James D. Currie, Lucas Mol, Narad Rampersad:
The Number of Threshold Words on n Letters Grows Exponentially for Every n≥27. - James F. Amundson, James Annis, Camille Avestruz, D. Bowring, João Caldeira, Giuseppe Cerati, Chihway L. Chang, Scott Dodelson, D. Elvira, A. Farahi, Krzysztof L. Genser, Lindsey Gray, Oliver Gutsche, Philip C. Harris, Jamie Kinney, James B. Kowalkowski, Rob Kutschke, S. Mrenna, Brian Nord, A. Para, Kevin Pedro, Gabriel N. Perdue, Alexander Scheinker, Panagiotis Spentzouris, J. St. John, Nhan Tran, Shubhendu Trivedi, Laura Trouille, W. L. K. Wu, C. R. Bom:
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". - Evaristo Cisbani, Alessio Del Dotto, Cristiano Fanelli, Michael Williams, M. Alfred, Fernando Barbosa, Luca Barion, Vladimir Berdnikov, William Brooks, Tongtong Cao, Marco Contalbrigo, Samuel Danagoulian, A. Datta, Marcellinus Demarteau, A. Denisov, Markus Diefenthaler, A. Durum, D. Fields, Yulia Furletova, Colin Gleason, Matthias Grosse Perdekamp, Mohammad Hattawy, Xu-Gang He, Hubert van Hecke, Douglas Higinbotham, Tanja Horn, Charles Hyde, Yordanka Ilieva, Grzegorz Kalicy, A. Kebede, B. Kim, Ming Liu, J. McKisson, Rodrigo Mendez, Pawel Nadel-Turonski, Ian Pegg, Dmitry Romanov, Murad Sarsour, C. L. da Silva, J. Stevens, Xu Sun, S. Syed, Rusty Towell, Junqi Xie, Zhiwen Zhao, Benedikt Zihlmann, Carl Zorn:
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case. - Paolo Magrassi:
Econophysics deserves a revamping. - Zeyu Deng, Abla Kammoun, Christos Thrampoulidis:
A Model of Double Descent for High-dimensional Binary Linear Classification. - Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng:
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. - Luca Ballotta, Luca Schenato, Luca Carlone:
Optimal Computation-Communication Trade-offs in Processing Networks. - Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. - Huidong Xie, Hongming Shan, Ge Wang:
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data. - Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso:
Reinforcement Learning for Market Making in a Multi-agent Dealer Market. - Chyuan-Tyng Wu, Leo F. Isikdogan, Rao Sushma, Bhavin Nayak, Timo Gerasimow, Aleksandar Sutic, Liron Ain-kedem, Gilad Michael:
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications. - Raul Astudillo, Peter I. Frazier:
Bayesian Optimization with Uncertain Preferences over Attributes. - Arvind Krishna, Simon Mak, Roshan Joseph:
Distributional Clustering: A distribution-preserving clustering method. - S. Mostafa Mousavi, Gregory C. Beroza:
A Machine-Learning Approach for Earthquake Magnitude Estimation. - Guillaume Dujardin, Ingrid Lacroix-Violet:
High order linearly implicit methods for evolution equations: How to solve an ODE by inverting only linear systems. - Aaron D. Vose, Jacob Balma, Damon Farnsworth, Kaylie Anderson, Yuri K. Peterson:
PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions. - Sadaf Gull, Fayyaz ul Amir Afsar Minhas:
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning. - Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer:
Earthmover-based manifold learning for analyzing molecular conformation spaces. - Tae-Ho Kim, Sungjae Cho, Shinkook Choi, Sejik Park, Soo-Young Lee:
Emotional Voice Conversion using Multitask Learning with Text-to-speech. - Tongyang Xu, Izzat Darwazeh:
Deep Learning for Over-the-Air Non-Orthogonal Signal Classification. - (Withdrawn) Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data.
- Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras:
An Improved Tobit Kalman Filter with Adaptive Censoring Limits. - B. Shravan Kumar, Vadlamani Ravi, Rishabh Miglani:
Predicting Indian stock market using the psycho-linguistic features of financial news. - Simone Gramsch, Alex Sarishvili, Andre Schmeißer:
Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks. - Xiaowei Yang, Huiming Zhang, Haoyu Wei, Shouzheng Zhang:
Sparse Density Estimation with Measurement Errors. - Jeremiah W. Johnson:
Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs. - Aditya Narayan Ravi, Pranav Poduval, Sharayu Moharir:
Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems. - Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci:
Condition monitoring and early diagnostics methodologies for hydropower plants. - Peyman Nasehpour:
A generalization of zero-divisor graphs. - Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn:
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms. - João Caldeira, Joshua Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue:
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. - Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen:
Primal-dual block-proximal splitting for a class of non-convex problems. - Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner:
Scalable Exact Inference in Multi-Output Gaussian Processes. - Kezia Irene, Aditya Yudha P., Harlan Haidi, Nurul Faza, Winston Chandra:
Fetal Head and Abdomen Measurement Using Convolutional Neural Network, Hough Transform, and Difference of Gaussian Revolved along Elliptical Path (Dogell) Algorithm. - Felix Krahmer, Christian Kühn, Nada Sissouno:
Predicting sparse circle maps from their dynamics. - Katharina Hoebel, Ken Chang, Jay B. Patel, Praveer Singh, Jayashree Kalpathy-Cramer:
Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty. - Mario González, Andrés Almansa, Mauricio Delbracio, Pablo Musé, Pauline Tan:
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior. - Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Contrast Phase Classification with a Generative Adversarial Network. - Zeng-Xian Lin, Xiao Fan Liu:
Tracking the circulation routes of fresh coins in Bitcoin: A way of identifying coin miners with transaction network structural properties. - Yeon-Koo Che, Jinwoo Kim, Fuhito Kojima:
Weak Monotone Comparative Statics. - Yanbing Wang, George Gunter, Matthew Nice, Daniel B. Work:
Estimating adaptive cruise control model parameters from on-board radar units. - Tarik Dzanic, Freddie D. Witherden:
Fourier Spectrum Discrepancies in Deep Network Generated Images. - Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen:
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels. - Shun Kimura, Koujin Takeda:
Improved algorithm for neuronal ensemble inference by Monte Carlo method. - Ryo Kamoi, Kei Kobayashi:
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice. - Theshani Nuradha, Tharaka Samarasinghe, Kasun T. Hemachandra:
A Novel Content Caching and Delivery Scheme for Millimeter Wave Device-to-Device Communications. - Timoteo Carletti, Federico Battiston, Giulia Cencetti, Duccio Fanelli:
Random walks on hypergraphs. - Xiaoying Zhuang, S. S. Nanthakumar, Timon Rabczuk:
A meshfree formulation for large deformation analysis of flexoelectric structures accounting for the surface effects. - Maud Parrot, Juliette Millet, Ewan Dunbar:
Independent and automatic evaluation of acoustic-to-articulatory inversion models. - Toby St Clere Smithe:
Radically Compositional Cognitive Concepts. - Pavel Karpov, Guillaume Godin, Igor V. Tetko:
Transformer-CNN: Fast and Reliable tool for QSAR. - Dávid Sztahó, György Szaszák, András Beke:
Deep learning methods in speaker recognition: a review. - Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer:
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. - Vikas Ramachandra:
Deep Clustering for Mars Rover image datasets. - David Cortes:
Imputing missing values with unsupervised random trees. - Drago Plecko, Nicolai Meinshausen:
Fair Data Adaptation with Quantile Preservation. - Kumar Goutam, Vineet Goyal, Agathe Soret:
A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload. - Max Hinne, Marcel A. J. van Gerven, Luca Ambrogioni:
Causal inference using Bayesian non-parametric quasi-experimental design. - Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs. - Cécilia Lancien, Christian Majenz:
Weak approximate unitary designs and applications to quantum encryption. - Alex Robson, Mahdi Jamei, Cozmin Ududec, Letif Mones:
Learning an Optimally Reduced Formulation of OPF through Meta-optimization. - Jonathan Tidor, Yufei Zhao:
Testing linear-invariant properties. - Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis:
Transfer Learning of fMRI Dynamics. - Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould Ismail, Ragini Verma:
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images. - Sebastian Blauth, Christian Leithäuser, René Pinnau:
Model Hierarchy for the Shape Optimization of a Microchannel Cooling System. - Soheil Rostami, Walid Saad, Choong Seon Hong:
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding. - Krishna Dasaratha:
Innovation and Strategic Network Formation. - Wenhao Ding, Liang He:
Adaptive Multi-scale Detection of Acoustic Events. - Kamer Ali Yuksel, Jann Goschenhofer, Hridya V. Varma, Urban Fietzek, Franz Michael Josef Pfister:
Granular Motor State Monitoring of Free Living Parkinson's Disease Patients via Deep Learning. - Praneet Dutta, Bruce Power, Adam Halpert, Carlos Ezequiel, Aravind Subramanian, Chanchal Chatterjee, Sindhu Hari, Kenton Prindle, Vishal Vaddina, Andrew Leach, Raj Domala, Laura Bandura, Massimo Mascaro:
3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement. - Vishwanath Saragadam, Aswin C. Sankaranarayanan:
On Space-spectrum Uncertainty Analysis for Coded Aperture Systems. - Shishun Tian, Lu Zhang, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Déforges:
Quality Assessment of DIBR-synthesized views: An Overview. - Phil Scott, Jacques D. Fleuriot:
Where are the Natural Numbers in Hilbert's Foundations of Geometry? - Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. - Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. - Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Liver Steatosis Segmentation with Deep Learning Methods. - Sanjay Kariyappa, Moinuddin K. Qureshi:
Defending Against Model Stealing Attacks with Adaptive Misinformation. - Yuan Zhou, Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu, Yuhao Wang:
Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks. - Atsufumi Honda, Kosuke Naokawa, Kentaro Saji, Masaaki Umehara, Kotaro Yamada:
On the existence of four or more curved foldings with common creases and crease patterns. - Gregory Vaksman, Michael Elad, Peyman Milanfar:
Low-Weight and Learnable Image Denoising. - Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He:
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring. - Filippo Fabiani, Sergio Grammatico:
A preconditioned Forward-Backward method for partially separable SemiDefinite Programs. - Leen Alawieh, Jonathan Goodman, John B. Bell:
Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference. - Yangyang Cao, Mohammad A. Ghazizadeh, Philippe G. LeFloch:
Asymptotic structure of cosmological Burgers flows in one and two space dimensions: a numerical study. - Simon Apers, Ronald de Wolf:
Quantum Speedup for Graph Sparsification, Cut Approximation and Laplacian Solving. - Scott A. Cameron, Hans C. Eggers, Steve Kroon:
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation. - Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour:
Predicting colorectal polyp recurrence using time-to-event analysis of medical records. - Peter J. Baddoo, Rozhin Hajian, Justin W. Jaworski:
Unsteady aerodynamics of porous aerofoils. - Zhipeng Gao, Yuhao Wang, Xiaodong Liu, Fuhui Zhou, Kai-Kit Wong:
FFDNet-Based Channel Estimation for Massive MIMO Visible Light Communication Systems. - Andrea Boskovic, Qinyi Chen, Dominik Kufel, Zijie Zhou:
Online Learning and Matching for Resource Allocation Problems. - Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun:
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training. - Kun Wang, Xin Wang, Mark M. Wilde:
Quantifying the unextendibility of entanglement. - Bin Li, Shuseng Wang, Jun Zhang, Xainbin Cao, Chenglin Zhao:
Fast MUSIC Algorithm for mm-Wave Massive-MIMO Radar. - Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl:
Benchmarking time series classification - Functional data vs machine learning approaches. - Ahmed Awad Albishri, Syed Jawad Hussain Shah, Anthony Schmiedler, Seung Suk Kang, Yugyung Lee:
Automated Human Claustrum Segmentation using Deep Learning Technologies. - Andrea Coladangelo, Thomas Vidick, Tina Zhang:
Non-interactive zero-knowledge arguments for QMA, with preprocessing. - Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks. - Maxim N. Chernodub, Harold Erbin, I. V. Grishmanovskii, V. A. Goy, A. V. Molochkov:
Casimir effect with machine learning. - Anas Barakat, Pascal Bianchi:
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization. - Iasson Karafyllis, Tarek Ahmed-Ali, Fouad Giri:
A Note on Sampled-Data Observers. - Yan Zhang, Steve Farrell, Michael Crowley, Lee Makowski, Jack Deslippe:
A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy. - Charles Roberto Telles:
False Asymptotic Instability Behavior at Iterated Functions with Lyapunov Stability in Nonlinear Time Series. - Alena Harley:
Deep Discriminative Fine-Tuning for Cancer Type Classification. - Haiping Huang:
How data, synapses and neurons interact with each other: a variational principle marrying gradient ascent and message passing. - Prabhanjan Ananth, Rolando L. La Placa:
Secure Quantum Extraction Protocols. - Tor Lattimore, Csaba Szepesvári:
Learning with Good Feature Representations in Bandits and in RL with a Generative Model. - Paolo Notaro, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab:
Radar Emitter Classification with Attribute-specific Recurrent Neural Networks. - Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici:
Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis. - Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. - Holger Boche, Gisbert Janßen, Sajad Saeedinaeeni:
Universal superposition codes: capacity regions of compound quantum broadcast channel with confidential messages. - Fan Zhang, Hao Wang, Jiashan Wang, Kai Yang:
Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set. - Anne Broadbent, Alex B. Grilo:
Zero-Knowledge for QMA from Locally Simulatable Proofs. - Masahiro Nomura, Kenshi Abe:
A Simple Heuristic for Bayesian Optimization with A Low Budget. - Dimitris Kousoulidis, Fulvio Forni:
An Optimization Approach to Verifying and Synthesizing K-cooperative Systems. - Alla Eddine Guissous:
Skin Lesion Classification Using Deep Neural Network. - Tuyen Trung Truong:
Coordinate-wise Armijo's condition. - Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. - Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen, Prasanna Parvathaneni, Allison E. Hainline, Camilo Bermudez, Andrew J. Plassard, Vaibhav A. Janve, Yurui Gao, Justin A. Blaber, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. - Patrick Hansen, Alexey Vilkin, Yury Khrustalev, James Imber, David Hanwell, Matthew Mattina, Paul N. Whatmough:
ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems. - Austin Conner, Alicia Harper, J. M. Landsberg:
New lower bounds for matrix multiplication and the 3x3 determinant. - Nikolaos Flemotomos, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Language Aided Speaker Diarization Using Speaker Role Information. - Sascha Xu, Jan Bauer, Benjamin Axmann:
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing. - Daouda Diouf, Djibril Seck, Mountaga Diop, Abdoulaye Ba:
Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes. - Yulun Xu, Qi Bao, Zhongzhi Zhang:
The k-Power Domination Number in Some Self-Similar Graphs. - Yixuan Qiu, Jing Lei, Kathryn Roeder:
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning. - Akash Srivastava, Jessie C. Rosenberg, Dan Gutfreund, David D. Cox:
SimVAE: Simulator-Assisted Training forInterpretable Generative Models. - Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong:
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. - Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang:
HighEr-Resolution Network for Image Demosaicing and Enhancing. - Gorjan Alagic, Andrew M. Childs, Shih-Han Hung:
Two-message verification of quantum computation. - Megumi Nakao, Keiho Imanishi, Nobuhiro Ueda, Yuichiro Imai, Tadaaki Kirita, Tetsuya Matsuda:
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction. - Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes:
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. - Erico Tjoa, Heng Guo, Yuhao Lu, Cuntai Guan:
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks. - Nina Miolane, Susan P. Holmes:
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders. - Syu-Siang Wang, Yu-You Liang, Jeih-weih Hung, Yu Tsao, Hsin-Min Wang, Shih-Hau Fang:
Distributed Microphone Speech Enhancement based on Deep Learning. - Mohamed S. Abdalzaher, Osamu Muta:
A Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications. - Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. - Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos:
Visualization approach to assess the robustness of neural networks for medical image classification. - Manodeep Sinha, Lehman H. Garrison:
Corrfunc: Blazing fast correlation functions with AVX512F SIMD Intrinsics. - Cristina Flaut, Sárka Hosková-Mayerová, Radu Vasile:
Some remarks regarding finite bounded commutative BCK-algebras. - Haolei Wang, Lei Zhang:
Energy Minimization and Preconditioning in the Simulation of Athermal Granular Materials in Two Dimensions. - Dhananjay Ram, Lesly Miculicich, Hervé Bourlard:
Neural Network based End-to-End Query by Example Spoken Term Detection. - Krishna Subramani, Alexandre D'Hooge, Preeti Rao:
Generative Audio Synthesis with a Parametric Model. - Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya:
Large-Scale Traffic Signal Offset Optimization. - Mehdi Amian, Mohammadreza Soltaninejad:
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction. - Riccardo Mancini, Shreshth Tuli, Tommaso Cucinotta, Rajkumar Buyya:
iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments. - Hongqian Qin:
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction. - Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi:
GMAN: A Graph Multi-Attention Network for Traffic Prediction. - João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb: A Lung Nodule Database on Computed Tomography. - Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu:
Deep Unsupervised Clustering with Clustered Generator Model. - Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. - Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò:
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. - Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte:
Optimal Complexity and Certification of Bregman First-Order Methods. - Marius Junge, Nicholas LaRacuente, Cambyse Rouzé:
Stability of logarithmic Sobolev inequalities under a noncommutative change of measure. - Eilif B. Müller, Philippe Beaudoin:
Neocortical plasticity: an unsupervised cake but no free lunch. - Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn, Yoshua Bengio:
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks. - Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj:
Solving machine learning optimization problems using quantum computers. - Jason A. Platt, Anna Miller, Henry D. I. Abarbanel:
Machine Learning Classification Informed by a Functional Biophysical System. - Paolo Bartesaghi, Stefano Benati, Gian Paolo Clemente, Rosanna Grassi:
Multi-criteria community detection in International Trade Network. - Chuhan Guo, Laurie J. Heyer, Jeffrey L. Poet:
Probabilistic Properties of GIG Digraphs. - Riccardo Bonetto, Mattia Soldan, Alberto Lanaro, Simone Milani, Michele Rossi:
Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data. - Casey A. Cole, Caleb Parks, Julian Rachele, Homayoun Valafar:
Improvements of the REDCRAFT Software Package. - Gideon Amir, Rangel Baldasso, Nissan Beilin:
Majority dynamics and the median process: connections, convergence and some new conjectures. - Tsuyoshi Yoshida, Mikael Mazur, Jochen Schröder, Magnus Karlsson, Erik Agrell:
Performance Monitoring for Live Systems with Soft FEC and Multilevel Modulation. - Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu:
Towards Physics-informed Deep Learning for Turbulent Flow Prediction. - Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko:
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping. - Haema Nilakanta, Zack W. Almquist, Galin L. Jones:
Ensuring Reliable Monte Carlo Estimates of Network Properties. - Kaito Shimamura, Shuichi Kawano:
Bayesian sparse convex clustering via global-local shrinkage priors. - Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. - Bing Gao, Haixia Liu, Yang Wang:
Phase retrieval for sub-Gaussian measurements. - Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. - Fatmatülzehra Uslu:
An Inception Inspired Deep Network to Analyse Fundus Images. - Shivam Kalra, Hamid R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton J. V. Campbell, Liron Pantanowitz:
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence. - Shivam Kalra, Charles Choi, Sultaan Shah, Liron Pantanowitz, Hamid R. Tizhoosh:
Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images. - Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Defective Skulls from CT Data for Tissue Modelling. - Hyunsoo Kim, Rathinasamy Sakthivel, Amar Debbouche, Delfim F. M. Torres:
Traveling wave solutions of some important Wick-type fractional stochastic nonlinear partial differential equations. - Yunyi Li, Li Liu, Yu Zhao, Xiefeng Cheng, Guan Gui:
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation. - Diego Espitia, Hernán Larralde:
Universal and non-universal text statistics: Clustering coefficient for language identification. - Alec Wright, Vesa Välimäki:
Perceptual Loss Function for Neural Modelling of Audio Systems. - Min Dong, Qiqi Wang:
Multi-group Multicast Beamforming: Optimal Structure and Efficient Algorithms. - Anthony Przybylski, Kathrin Klamroth, Renaud Lacour:
A simple and efficient dichotomic search algorithm for multi-objective mixed integer linear programs. - Stanislaw Drozdz, Ludovico Minati, Pawel Oswiecimka, Marek Stanuszek, Marcin Watorek:
Competition of noise and collectivity in global cryptocurrency trading: route to a self-contained market. - Vikas Ramachandra:
Weather event severity prediction using buoy data and machine learning. - Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire:
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks. - Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer:
Additive Bayesian Network Modelling with the R Package abn. - Soma Yokoi, Issei Sato:
Bayesian interpretation of SGD as Ito process. - Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjón:
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation. - Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. - Rainier Barrett, Andrew D. White:
Iterative Peptide Modeling With Active Learning And Meta-Learning. - Shi-Xin Zhang, Zhou-Quan Wan, Hong Yao:
Automatic Differentiable Monte Carlo: Theory and Application. - Anurag Anshu, Debbie W. Leung, Dave Touchette:
Incompressibility of classical distributions. - Stefan Ivic:
Motion control for autonomous heterogeneous multi-agent area search in uncertain conditions. - Yuzhou Gao, Tengchao Yu, Jinglai Li:
Bayesian optimization with local search. - Kai-Min Chung, Tai-Ning Liao, Luowen Qian:
Lower Bounds for Function Inversion with Quantum Advice. - Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao:
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. - Jia-Jie Zhu, Georg Martius:
Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control. - Hasnine Haque, Masahiro Hashimoto, Nozomu Uetake, Masahiro Jinzaki:
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets. - Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong:
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. - Massimo L. Villinger, Abbas Shiri, Soroush Shabahang, Ali K. Jahromi, Magued B. Nasr, Christopher H. Villinger, Ayman F. Abouraddy:
Doubling the near-infrared photocurrent in a solar cell via omni-resonant coherent perfect absorption. - Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang:
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. - Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman, Imran Naseem, Muhammad Moinuddin:
Heart Segmentation From MRI Scans Using Convolutional Neural Network. - Jiaxu Chen, Jing Hao, Kai Chen, Di Xie, Shicai Yang, Shiliang Pu:
An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy. - Anthony Bordg, Yijun He:
Comment on "Quantum Games and Quantum Strategies". - Louise Budzynski, Guilhem Semerjian:
The asymptotics of the clustering transition for random constraint satisfaction problems. - Ying Wen, Kai Xie, Lianghua He:
Segmenting Medical MRI via Recurrent Decoding Cell. - Ahmet Zahid Yalçin, Melda Yuksel:
Max-Min Fair Precoder Design for Non-Orthogonal Multiple Access. - Suad Krilasevic, Sergio Grammatico:
An integral Nash equilibrium control scheme for a class of multi-agent linear systems. - Anderson Ara, Mateus Maia, Samuel Macêdo, Francisco Louzada:
Random Machines: A bagged-weighted support vector model with free kernel choice. - Michal Kocvara:
Decomposition of arrow type positive semidefinite matrices with application to topology optimization. - Zhengyang Lu, Ying Chen:
Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss. - Kishor Bharti, Maharshi Ray, Antonios Varvitsiotis, Adán Cabello, Leong-Chuan Kwek:
Local certification of programmable quantum devices of arbitrary high dimensionality. - Mikhail N. Rybakov, Dmitry Shkatov:
Recursive enumerability and elementary frame definability in predicate modal logic. - Kia Khezeli, Eilyan Bitar:
Safe Linear Stochastic Bandits. - Tameem Adel, Han Zhao, Richard E. Turner:
Continual Learning with Adaptive Weights (CLAW). - Sabber Ahamed:
Estimating uncertainty of earthquake rupture using Bayesian neural network. - Artur García-Sáez, Jordi Riu:
Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning. - Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur:
EvAn: Neuromorphic Event-based Anomaly Detection. - Xiuyuan Lu, Benjamin Van Roy:
Information-Theoretic Confidence Bounds for Reinforcement Learning. - Konstantin Ushenin, Vladimir Sholokhov, Tatyana Nesterova, Dmitry Shmarko:
Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation. - Kiki Pichini:
An Upper Bound for the Number of Rectangulations of a Planar Point Set. - Hang Yu, David Monniaux:
An Efficient Parametric Linear Programming Solver and Application to Polyhedral Projection. - Purushottam D. Dixit:
TMI: Thermodynamic inference of data manifolds. - Szu-Chi Chung, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, I-Ping Tu:
2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images. - Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. - Muhammad Ejaz, Chaitanya Joshi, Stephen Joe:
Adversarial Risk Analysis for First-Price Sealed-Bid Auctions. - Chao Liu, Heming Sun, Junan Chen, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto, Xiaoyang Zeng, Yibo Fan:
Dual Learning-based Video Coding with Inception Dense Blocks. - Ruturaj Gole, Haixia Wu, Subho Ghose:
Shape Detection In 2D Ultrasound Images. - Yuntian Wang, Xiaobo Zhou, Zhihong Zhuang, Linlin Sun, Yuwen Qian, Jinhui Lu, Feng Shu:
UAV-enabled Secure Communication with Finite Blocklength. - Michael Hibbard, Yagiz Savas, Zhe Xu, Ufuk Topcu:
Minimizing the Information Leakage Regarding High-Level Task Specifications. - Zhengyuan Liu:
Retinal Vessel Segmentation based on Fully Convolutional Networks. - Dominique Béroule, Pascale Gisquet-Verrier:
Decision Making guided by Emotion A computational architecture. - Ling Luo, Dingyu Xue, Xinglong Feng:
HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation. - Chong Wang, Feng Wu, Ping Ju, Shunbo Lei, Tianguang Lu, Yunhe Hou:
Transmission System Resilience Enhancement with Extended Steady-state Security Region in Consideration of Uncertain Topology Changes. - Sixin Zhang, Stéphane Mallat:
Maximum Entropy Models from Phase Harmonic Covariances. - Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta:
Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study. - Philip B. Stark:
Sets of Half-Average Nulls Generate Risk-Limiting Audits: SHANGRLA. - J. Bialopetravicius, D. Narbutis:
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification. - (Withdrawn) Closed-Loop Control of a Magnetically Actuated Fiber-Coupled Laser for Computer-Assisted Laser Microsurgery.
- Zihao Zhang, Stefan Zohren, Stephen J. Roberts:
Deep Reinforcement Learning for Trading. - Krishna Dasaratha, Kevin He:
Speed of Rational Social Learning in Networks with Gaussian Information. - Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. - Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons:
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation. - Dan Li, Dariush Fooladivanda, Sonia Martínez:
Data-driven Variable Speed Limit Design with Performance Guarantees for Highways. - Juan-José Giraldo, Mauricio A. Álvarez:
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. - Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey Jr., Albert Montillo:
Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability. - Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, William Yuan, Isaac S. Kohane:
Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. - Alin Bostan, Jordan Tirrell, Bruce W. Westbury, Yi Zhang:
On sequences associated to the invariant theory of rank two simple Lie algebras. - Ron Ziv, Alex Dikopoltsev, Tom Zahavy, Ittai Rubinstein, Pavel Sidorenko, Oren Cohen, Mordechai Segev:
Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot. - Andrei Yu. Khrennikov:
Echoing the recent Google success: Foundational Roots of Quantum Supremacy. - Andrei Velichko, Petr Boriskov:
Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding. - Md Abdul Mutalab Shaykat, Yashna Islam, Mohammad Ishtiaque Hossain:
Shape Detection of Liver From 2D Ultrasound Images. - Aurélien Lucchi, Jonas Kohler:
A Stochastic Tensor Method for Non-convex Optimization. - Danqing Xu, Yuedong Wang:
Low Rank Approximation for Smoothing Spline via Eigensystem Truncation. - Ido Faran, Nathan S. Netanyahu, Eli David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud:
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data. - Davoud Ataee Tarzanagh, George Michailidis:
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data. - Jan Bok, Nikola Jedlicková, Jana Maxová:
A relaxed version of Šoltés's problem and cactus graphs. - Guilherme de C. M. Gomes, Marina Groshaus, Carlos V. G. C. Lima, Vinícius Fernandes dos Santos:
Intersection graph of maximal stars. - Mrinank Sharma, Michael J. Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner:
Differentially Private Federated Variational Inference. - Kan Li, José C. Príncipe:
Functional Bayesian Filter. - Claas Flint, Katharina Förster, Sophie A. Koser, Carsten Konrad, Pienie Zwitserlood, Klaus Berger, Marco Hermesdorf, Tilo Kircher, Igor Nenadic, Axel Krug, Bernhard T. Baune, Katharina Dohm, Ronny Redlich, Nils Opel, Tim Hahn, Xiaoyi Jiang, Udo Dannlowski, Dominik Grotegerd:
Biological sex classification with structural MRI data shows increased misclassification in transgender women. - Aria Khademi, Vasant G. Honavar:
Algorithmic Bias in Recidivism Prediction: A Causal Perspective. - Ilan Price, Jared Tanner:
Trajectory growth lower bounds for random sparse deep ReLU networks. - Md Rashidul Hasan, Muntasir Al Kabir:
Lung Cancer Detection and Classification based on Image Processing and Statistical Learning. - Muneki Yasuda, Seishirou Ueno:
Improvement of Batch Normalization in Imbalanced Data. - Gunnar E. Carlsson, Anjan Dwaraknath, Bradley J. Nelson:
Persistent and Zigzag Homology: A Matrix Factorization Viewpoint. - Saeed Osat, Filippo Radicchi, Fragkiskos Papadopoulos:
k-core structure of real multiplex networks. - Hugo Lhachemi, Robert Shorten:
Boundary feedback stabilization of a reaction-diffusion equation with Robin boundary conditions and state-delay. - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Invertible DNN-based nonlinear time-frequency transform for speech enhancement. - Jesus Rodriguez Sanchez, Fredrik Rusek, Ove Edfors, Liang Liu:
An Iterative Interference Cancellation Algorithm for Large Intelligent Surfaces. - Xin Zhang, Yan Li:
Dynamic list coloring of 1-planar graphs. - Yuning Yang:
The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence. - Erhan Bayraktar, Ibrahim Ekren, Xin Zhang:
Finite-Time 4-Expert Prediction Problem. - Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. - Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
The Convex Information Bottleneck Lagrangian. - Luis Dieulefait, Jorge Jiménez Urroz:
Factorization and malleability of RSA modules, and counting points on elliptic curves modulo N. - Jia-Jie Zhu, Krikamol Muandet, Moritz Diehl, Bernhard Schölkopf:
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming. - Laixi Shi, Yuejie Chi:
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. - Sergey Aganezov, Pavel Avdeyev, Nikita Alexeev, Yongwu Rong, Max A. Alekseyev:
Orienting Ordered Scaffolds: Complexity and Algorithms. - Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling:
Machine-learned metrics for predicting the likelihood of success in materials discovery. - Naofumi Tomita, Steven Jiang, Matthew E. Maeder, Saeed Hassanpour:
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. - Jonathan Jedwab:
The distribution of the L4 norm of Littlewood polynomials. - Yu Xia, Zhiqiang Xu:
The recovery of complex sparse signals from few phaseless measurements. - Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei Zhang, Feng Wu:
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement. - Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong:
Simplified calcium signaling cascade for synaptic plasticity. - Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi:
Super-Resolution for Practical Automated Plant Disease Diagnosis System. - Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha:
Robust Estimation of Hypernasality in Dysarthria. - Thi Ngoc Tho Nguyen, Douglas L. Jones, Rishabh Ranjan, Sathish Jayabalan, Woon-Seng Gan:
A two-step system for sound event localization and detection. - Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Representation Learning: A Statistical Perspective. - Sadegh Fadaei, Abdolreza Rashno, Elyas Rashno:
Content-based image retrieval speedup. - Jin Xie, Longfei Wang, Paula Webster, Yang Yao, Jiayao Sun, Shuo Wang, Huihui Zhou:
A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder. - Clara Stegehuis:
Closure coefficients in scale-free complex networks. - Olivier Billaud, Maxence Soubeyrand, Sandra Luque, Maxime Lenormand:
Comprehensive decision-strategy space exploration for efficient territorial planning strategies. - Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé:
Random Forest as a Tumour Genetic Marker Extractor. - Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski:
Spectra2pix: Generating Nanostructure Images from Spectra. - Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg:
Learning sparse linear dynamic networks in a hyper-parameter free setting. - Marco Fronzi, Mutaz Abu Ghazaleh, Olexandr Isayev, David A. Winkler, Joe Shapter, Michael J. Ford:
Impressive computational acceleration by using machine learning for 2-dimensional super-lubricant materials discovery. - Hanyuan Hang:
Histogram Transform Ensembles for Density Estimation. - Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H. Tewfik:
Improving EEG based Continuous Speech Recognition. - Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar:
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. - Andre Ivan, Williem, In Kyu Park:
Joint Spatial and Angular Super-Resolution from a Single Image. - Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo:
Assessing Supply Chain Cyber Risks. - Victor Kristof, Valentin Quelquejay-Leclère, Robin Zbinden, Lucas Maystre, Matthias Grossglauser, Patrick Thiran:
A User Study of Perceived Carbon Footprint. - James A. Ritchie, Iain Murray:
Scalable Extreme Deconvolution. - Marco Todescato, Ruggero Carli, Luca Schenato, Grazia Barchi:
Smart Grid State Estimation with PMUs Time Synchronization Errors. - Cristiano Fanelli, Jary Pomponi:
DeepRICH: Learning Deeply Cherenkov Detectors. - Earl P. Bellinger, Shashi M. Kanbur, Anupam Bhardwaj, Marcella Marconi:
When a Period Is Not a Full Stop: Light Curve Structure Reveals Fundamental Parameters of Cepheid and RR Lyrae Stars. - Ali Basirat:
Sifted Randomized Singular Value Decomposition. - Chencheng Cai, Rong Chen, Han Xiao:
Stable Matrix Completion using Properly Configured Kronecker Product Decomposition. - Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Yang Jiao, Mo Weng, Mei Yang:
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps. - António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra:
Neural Percussive Synthesis Parameterised by High-Level Timbral Features. - Erfan Ebrahim Esfahani, Alireza Hosseini:
Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization. - Badong Chen, Zhuang Li, Yingsong Li, Pengju Ren:
Asymmetric Correntropy for Robust Adaptive Filtering. - Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Amanda Oakley, Saeed Hassanpour:
Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities. - Junhao Wang, Yinheng Li, Yijie Cao:
Dynamic Portfolio Management with Reinforcement Learning. - Daniel Rubin, Alex Townsend:
Bounding Zolotarev numbers using Faber rational functions. - Subhayan Mukherjee, Giuseppe Valenzise, Irene Cheng:
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment. - Alexander V. Proskurin, Anatoly M. Sagalakov:
A numerical approach for transient magnetohydrodynamic flows. - Francis Baek, Somin Park, Hyoungkwan Kim:
Data Augmentation Using Adversarial Training for Construction-Equipment Classification. - Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. - Parikshit Pareek, Hung D. Nguyen:
Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach. - Aicke Hinrichs, David Krieg, Robert J. Kunsch, Daniel Rudolf:
Expected dispersion of uniformly distributed points. - Chengyuan Wu, Carol Anne Hargreaves:
Topological Machine Learning for Multivariate Time Series. - Tomasz M. Rutkowski, Masato S. Abe, Marcin Koculak, Mihoko Otake-Matsuura:
Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task - AI Regression Approach for Dementia Onset Prediction in Aging Societies. - Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S. Nath, Viresh Gupta, Manraj Singh Grover, Rajiv Ratn Shah:
Universal EEG Encoder for Learning Diverse Intelligent Tasks. - Shuhao Xia, Yuanming Shi:
Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation. - Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem:
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. - François Dubois, Benjamin Graille, S. V. Raghurama Rao:
A stability property for a mono-dimensional three velocities scheme with relative velocity. - Didier Bresch, Nicolas Cellier, Frédéric Couderc, Marguerite Gisclon, Pascal Noble, Gaël Richard, Christian Ruyer-Quil, Jean-Paul Vila:
Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density. - Bernhard Hientzsch:
Introduction to Solving Quant Finance Problems with Time-Stepped FBSDE and Deep Learning. - Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull:
Leveraging Self-supervised Denoising for Image Segmentation. - Thomas N. Kipf, Elise van der Pol, Max Welling:
Contrastive Learning of Structured World Models. - Jinzhe Zeng, Liqun Cao, Mingyuan Xu, Tong Zhu, John Z. H. Zhang:
Neural Network Based in Silico Simulation of Combustion Reactions. - Paul Samuel Ignacio, David Uminsky, Christopher Dunstan, Esteban Escobar, Luke Trujillo:
Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning. - Andrew Nemec, Andreas Klappenecker:
Infinite Families of Quantum-Classical Hybrid Codes. - Mattia Bianchi, Sergio Grammatico:
Continuous-time fully distributed generalized Nash equilibrium seeking for multi-integrator agents. - Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. - Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo:
Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision. - Federico Landi, Lorenzo Baraldi, Marcella Cornia, Massimiliano Corsini, Rita Cucchiara:
Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation. - Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, Han-Wei Shen:
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers. - Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. - Xiu Ye, Shangyou Zhang, Yunrong Zhu:
Stablizer-Free Weak Galerkin Methods for Monotone Quasilinear Elliptic PDEs. - Huyen Nguyen:
SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling. - Marcelo Firer:
Alternative Metrics. - Abba Lawan, Abdur Rakib:
FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language. - Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Fuxin Li:
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds. - Kun Su, Xiulong Liu, Eli Shlizerman:
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. - Ruoxu Cen, Ran Duan:
Roundtrip Spanners with $(2k-1)$ Stretch. - Christos N. Efrem, Athanasios D. Panagopoulos:
A Framework for Weighted-Sum Energy Efficiency Maximization in Wireless Networks. - Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris:
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. - Eu Wern Teh, Graham W. Taylor:
Learning with less data via Weakly Labeled Patch Classification in Digital Pathology. - Adam Sandler, Diego Klabjan, Yuan Luo:
Conditional Hierarchical Bayesian Tucker Decomposition. - Luc Libralesso, Abdel-Malik Bouhassoun, Hadrien Cambazard, Vincent Jost:
Tree search algorithms for the Sequential Ordering Problem. - Francesco Casella, Bernhard Bachmann:
On the choice of initial guesses for the Newton-Raphson algorithm. - Oskar Triebe, Nikolay Laptev, Ram Rajagopal:
AR-Net: A simple Auto-Regressive Neural Network for time-series. - Trent Kyono, Mihaela van der Schaar:
Improving Model Robustness Using Causal Knowledge. - Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). - Samuel Bosch, Alexander Sanchez de la Cerda, Mohsen Imani, Tajana Simunic Rosing, Giovanni De Micheli:
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning. - Philipp A. Witte, Mathias Louboutin, Charles Jones, Felix J. Herrmann:
Serverless seismic imaging in the cloud. - Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides:
Soft Anchor-Point Object Detection. - Ali Borji, Seyed Mehdi Iranmanesh:
Empirical Upper Bound in Object Detection and More. - Sina Hojjatinia, Sajad Hamzenejadi, Hadis Mohseni:
Android Botnet Detection using Convolutional Neural Networks. - Eric Bax:
Collecting Charges for Ad Impact on User Experience for Different Price Types. - Ke Sun, Frank Nielsen:
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions. - Lukas Fleischer, Jeffrey O. Shallit:
Words With Few Palindromes, Revisited. - Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-view Consistent Inference. - Ali Javed, Scott D. Hamshaw, Donna M. Rizzo, Byung Suk Lee:
Analysis of Hydrological and Suspended Sediment Events from Mad River Wastershed using Multivariate Time Series Clustering. - Leonardo Citraro, Mateusz Kozinski, Pascal Fua:
Towards Reliable Evaluation of Road Network Reconstructions. - Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, T. J. Rhodes, Bedrich Benes:
LeRoP: A Learning-Based Modular Robot Photography Framework. - Jasper Lu, David Kai Zhang, Zinovi Rabinovich, Svetlana Obraztsova, Yevgeniy Vorobeychik:
Manipulating Elections by Selecting Issues. - Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. - Shaoli Huang, Dacheng Tao:
All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning. - Benjamin Nagy:
Metre as a stylometric feature in Latin hexameter poetry. - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. - Basit Ayantunde, Jane Odum, Fadlullah Olawumi, Joshua Olalekan:
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired. - Xueya Zhang, Tong Zhang, Wenting Zhao, Zhen Cui, Jian Yang:
Dual-Attention Graph Convolutional Network. - Chao Weng, Chengzhu Yu, Jia Cui, Chunlei Zhang, Dong Yu:
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition. - Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak:
QKD: Quantization-aware Knowledge Distillation. - Sanjeev Sharma, Shaoli Huang, Dacheng Tao:
An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation. - Zhaopei Gong, Liang Ding, Honghao Yue, Haibo Gao, Rongqiang Liu, Zongquan Deng, Yifan Lu:
System Integration and Control Design of a Maglev Platform for Space Vibration Isolation. - Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration. - Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music. - Thuong Nguyen Canh, Chien Van Trinh:
Error Resilient Deep Compressive Sensing. - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision. - Gaoxiang Wang, Avik Ranjan Adhikary, Zhengchun Zhou, Yang Yang:
Generalized Constructions of Complementary Sets of Sequences of Lengths Non-Power-of-Two. - Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare:
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction. - Xinyang Jiang, Yifei Gong, Xiaowei Guo, Qize Yang, Feiyue Huang, Wei-Shi Zheng, Feng Zheng, Xing Sun:
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect. - Shaojie Tang, Jing Yuan:
Product Sequencing and Pricing under Cascade Browse Model. - Wojciech Michal Matkowski, Tingting Chai, Adams Wai-Kin Kong:
Palmprint Recognition in Uncontrolled and Uncooperative Environment. - Wen Wang, Lijun Du, Yinxing Gao, Yanzhou Su, Feng Wang, Jian Cheng:
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification. - Prasad Chaugule, Mrinal Kumar, Nutan Limaye, Chandra Kanta Mohapatra, Adrian She, Srikanth Srinivasan:
Schur Polynomials do not have small formulas if the Determinant doesn't! - Min Ye:
New constructions of cooperative MSR codes: Reducing node size to $\exp(O(n))$. - Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. - István Fehérvári, Avinash Ravichandran, Srikar Appalaraju:
Unbiased Evaluation of Deep Metric Learning Algorithms. - Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. - Yun Feng, Han-Xiong Li:
Abnormal source identification for parabolic distributed parameter systems. - Xintong Ling, Yuwei Le, Jiaheng Wang, Zhi Ding, Xiqi Gao:
Practical Modeling and Analysis of Blockchain Radio Access Network. - Ehsan Hoseinzade, Saman Haratizadeh, Arash Khoeini:
U-CNNpred: A Universal CNN-based Predictor for Stock Markets. - Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know? - Veselin Raychev, Preslav Nakov:
Language-Independent Sentiment Analysis Using Subjectivity and Positional Information. - Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux, James Theiler:
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery. - Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. - Ye Lin, Keren Fu, Shenggui Ling, Peng Cheng:
An Efficient Multi-Domain Framework for Image-to-Image Translation. - Ashutosh Kumar Tiwari, Sandeep Varma Nadimpalli:
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning. - Ao Li, Jemin Andrew Choi, Fan Long:
Securing Smart Contract On The Fly. - Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. - Junyi Liu, Li Zhou, Mingsheng Ying:
Expected Runtime of Quantum Programs. - Hao Liao, Jiao Wu, Ming-Yang Zhou, Alexandre Vidmer:
Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification. - Ygor Gallina, Florian Boudin, Béatrice Daille:
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents. - Jierui Lin, Min Du, Jian Liu:
Free-riders in Federated Learning: Attacks and Defenses. - Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He:
Towards Privacy and Security of Deep Learning Systems: A Survey. - Min-Kyu Shin, Daniel Lee, Han-Lim Choi:
Weapon-Target Assignment Problem with Interference Constraints using Mixed-Integer Linear Programming. - Ramya Korlakai Vinayak, Weihao Kong, Sham M. Kakade:
Optimal Estimation of Change in a Population of Parameters. - Abhishek Kumar, Asif Ekbal, Daisuke Kawahara, Sadao Kurohashi:
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis. - Qi Zhou, Houqiang Li, Jie Wang:
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. - Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu:
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings. - Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang:
Stable Learning via Sample Reweighting. - Sebastian Schelter, Yuxuan He, Jatin Khilnani, Julia Stoyanovich:
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions. - Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang:
AutoRemover: Automatic Object Removal for Autonomous Driving Videos. - Jan-Philipp Steghöfer, Eric Knauss, Jennifer Horkoff, Rebekka Wohlrab:
Challenges of Scaled Agile for Safety-Critical Systems. - David Mohaisen, Songqing Chen:
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One. - Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. - Luca Caltagirone, Lennart Svensson, Mattias Wahde, Martin Sanfridson:
Lidar-Camera Co-Training for Semi-Supervised Road Detection. - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing with Reserve Price Constraint for Personal Data Markets. - Guanhua Zheng, Jitao Sang, Houqiang Li, Jian Yu, Changsheng Xu:
A Generalization Theory based on Independent and Task-Identically Distributed Assumption. - Patrick Peltzer, Johannes Lotz, Uwe Naumann:
Eigen-AD: Algorithmic Differentiation of the Eigen Library. - Adrian Phoulady, Ole-Christoffer Granmo, Saeed Rahimi Gorji, Hady Ahmady Phoulady:
The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses. - Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Li Tang:
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration. - Jaime Ramírez, M. Julia Flores:
Machine learning for music genre: multifaceted review and experimentation with audioset. - Atreyee Kundu:
Learning restrictions on admissible switching signals for switched systems. - Carlos Badenes-Olmedo, José Luis Redondo García, Óscar Corcho:
Legal document retrieval across languages: topic hierarchies based on synsets. - Damian Kaliroff, Guy Gilboa:
Self-Supervised Unconstrained Illumination Invariant Representation. - Alexander Grebhahn, Norbert Siegmund, Sven Apel:
Predicting Performance of Software Configurations: There is no Silver Bullet. - Prasanth Kotaru, Koushil Sreenath:
Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control. - Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel:
Type Safety with JSON Subschema. - Tomasz T. Gorecki, William Martin:
Maestro: A Python library for multi-carrier energy district optimal control design. - Taoxing Pan, Jun Liu, Jie Wang:
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. - Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran:
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. - Dorian Florescu, Matthew England:
Improved cross-validation for classifiers that make algorithmic choices to minimise runtime without compromising output correctness. - Michael Günther, Maik Thiele, Wolfgang Lehner:
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data. - Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao:
Continuous Dropout. - Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. - Aldaïr Petronilia, Edward James Brambley:
Optimized Runge-Kutta (LDDRK) timestepping schemes for non-constant-amplitude oscillations. - Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. - Sasinee Pruekprasert, Toru Takisaka, Clovis Eberhart, Ahmet Cetinkaya, Jérémy Dubut:
Moment Propagation of Discrete-Time Stochastic Polynomial Systems using Truncated Carleman Linearization. - Giulia Orrù, Gian Luca Marcialis, Fabio Roli:
A novel classification-selection approach for the self updating of template-based face recognition systems. - Ata Khalili, Soroush Akhlaghi, Hina Tabassum, Derrick Wing Kwan Ng:
Joint User Association and Resource Allocation in the Uplink of Heterogeneous Networks. - Danail S. Brezov, Michael Werman:
Cameras Viewing Cameras Geometry. - Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. - Hagar Meir, Artem Barger, Yacov Manevich, Yoav Tock:
Lockless Transaction Isolation in Hyperledger Fabric. - Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He:
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference. - Jaeyoung Yoo, Geonseok Seo, Nojun Kwak:
Mixture-Model-based Bounding Box Density Estimation for Object Detection. - Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal:
A Fine-grained Sentiment Dataset for Norwegian. - Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. - Romain Edelmann, Jad Hamza, Viktor Kuncak:
LL(1) Parsing with Derivatives and Zippers. - Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. - Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg, Siddarth Krishnamoorthy, Rohit Saxena, Sunav Choudhary:
Data-Driven Compression of Convolutional Neural Networks. - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
ASR is all you need: cross-modal distillation for lip reading. - Ferruccio Guidi:
Two Formal Systems of the $λδ$ Family Revised. - Zied Bouraoui, José Camacho-Collados, Steven Schockaert:
Inducing Relational Knowledge from BERT. - Luca Arnaboldi, Ricardo M. Czekster, Roberto Metere, Charles Morisset:
Modelling Load-Changing Attacks in Cyber-Physical Systems. - Vatsal Aggarwal, Marius Cotescu, Nishant Prateek, Jaime Lorenzo-Trueba, Roberto Barra-Chicote:
Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech. - Mikhail Fain, Andrey Ponikar, Ryan Fox, Danushka Bollegala:
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA. - Aitazaz Ali Raja, Sergio Grammatico:
Distributed payoff allocation in coalitional games via time varying paracontractions. - Peeter Laud, Alisa Pankova:
Interpreting Epsilon of Differential Privacy in Terms of Advantage in Guessing or Approximating Sensitive Attributes. - Varun Gupta, Ravishankar Krishnaswamy, Sai Sandeep:
PERMUTATION Strikes Back: The Power of Recourse in Online Metric Matching. - Colin Paterson, Radu Calinescu:
Detection and Mitigation of Rare Subclasses in Neural Network Classifiers. - K. Balaje, P. Danumjaya:
On the Penalty term for the Mixed Discontinuous Galerkin Finite Element Method for the Biharmonic Equation. - Rafael Henkin, Cagatay Turkay:
Words of Estimative Correlation: Studying Verbalizations of Scatterplots. - P. Danumjaya, K. Balaje:
Discontinuous Galerkin Finite Element Methods for 1D Rosenau Equation. - Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma:
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. - Fatemeh Rezaei, Chintha Tellambura, Aliakbar Tadaion, Ali Reza Heidarpour:
Rate Analysis of Cell-Free Massive MIMO-NOMA With Three Linear Precoders. - Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann:
Multimodal Machine Translation through Visuals and Speech. - Ziyun Wang:
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform. - George De Ath, Richard M. Everson, Alma As-Aad Mohammad Rahat, Jonathan E. Fieldsend:
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. - Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. - Sergey Bereg, Brian Malouf, Linda Morales, Thomas Stanley, Ivan Hal Sudborough, Alexander Wong:
Equivalence Relations for Computing Permutation Polynomials. - Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-critic in cooperative multi-agent systems. - Carlos Andrey Maia:
Stochastic Event Generation Through Markovian Jumps: Generalized Distribution and Minimal Representations. - Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao:
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe:
Siam R-CNN: Visual Tracking by Re-Detection. - Dov M. Gabbay, Xavier Parent, Leon van der Torre:
A geometrical view of I/O logic. - Sarthak Consul, Bhishma Dedhia, Kumar Ashutosh, Parthasarathi Khirwadkar:
Analysis of Lower Bounds for Simple Policy Iteration. - Sonali Rajesh Shah, Abhishek Kaushik:
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining. - Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. - Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie:
Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer. - Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka:
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization. - Timothy Kieras, Muhammad Junaid Farooq, Quanyan Zhu:
RIoTS: Risk Analysis of IoT Supply Chain Threats. - Jón Arnar Briem, Jordi Smit, Hendrig Sellik, Pavel Rapoport:
Using Distributed Representation of Code for Bug Detection. - Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan:
Self-attention with Functional Time Representation Learning. - Brittany Terese Fasy, Sushovan Majhi, Carola Wenk:
Threshold-Based Graph Reconstruction Using Discrete Morse Theory. - Yunan Zhang, Heting Gao, Tarek F. Abdelzaher:
Macross: Urban Dynamics Modeling based on Metapath Guided Cross-Modal Embedding. - Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha:
Machine Learning for a Low-cost Air Pollution Network. - Matthias Sonntag, Veniamin I. Morgenshtern:
Region segmentation via deep learning and convex optimization. - Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu:
GraphZero: Breaking Symmetry for Efficient Graph Mining. - Graham Campbell, Detlef Plump:
Efficient Recognition of Graph Languages. - Shi Qiu, Saeed Anwar, Nick Barnes:
Geometric Feedback Network for Point Cloud Classification. - Hanwen Kang, Chao Chen:
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards. - Masato Hagiwara, Masato Mita:
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors. - Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman:
Adaptive Communication Bounds for Distributed Online Learning. - Mounia Bouabdellah, Faissal El Bouanani, Mohamed-Slim Alouini:
A PHY Layer Security Analysis of Uplink Cooperative Jamming-Based Underlay CRNs with Multi-Eavesdroppers. - Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock:
Communication-Efficient Distributed Online Learning with Kernels. - Renee Su, Rong Chen:
Land Cover Change Detection via Semantic Segmentation. - Zinovy Diskin:
Supervised categorical learning as change propagation with delta lenses. - Blazej Osinski, Adam Jakubowski, Piotr Milos, Pawel Ziecina, Christopher Galias, Silviu Homoceanu, Henryk Michalewski:
Simulation-based reinforcement learning for real-world autonomous driving. - Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Generalizable Representations via Diverse Supervision. - Junghyup Lee, Dohyung Kim, Wonkyung Lee, Jean Ponce, Bumsub Ham:
Learning Semantic Correspondence Exploiting an Object-level Prior. - Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha:
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction. - Georgios Smyrnis, Petros Maragos:
Tropical Polynomial Division and Neural Networks. - Bo-Wen Chen, Yen-Min Hsu, Hung-Yi Lee:
J-Net: Randomly weighted U-Net for audio source separation. - Russell Tsuchida, Fred Roosta, Marcus Gallagher:
Richer priors for infinitely wide multi-layer perceptrons. - Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-to-end Speech Recognition. - Yongjie Ye, Jingjing Zhang, Weigang Wu, Xiapu Luo, Jiannong Cao:
Boros: Secure Cross-Channel Transfers via Channel Hub. - Dinusha Vatsalan, Peter Christen, Erhard Rahm:
Incremental Clustering Techniques for Multi-Party Privacy-Preserving Record Linkage. - Caleb Helbling, Samuel Z. Guyer:
Juniper: A Functional Reactive Programming Language for the Arduino. - Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu:
Mining Approximate Acyclic Schemes from Relations. - Yilong Zhu, Dong Han, Bohuan Xue, Jianhao Jiao, Zuhao Zou, Ming Liu, Rui Fan:
Road Curb Detection Using A Novel Tensor Voting Algorithm. - Taotao Wang, Soung Chang Liew, Shengli Zhang:
When Blockchain Meets AI: Optimal Mining Strategy Achieved By Machine Learning. - Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen:
Refining HTN Methods via Task Insertion with Preferences. - Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-segmentation via Spatial-Semantic Network Modulation. - Alina Ene, Huy L. Nguyen, Andrew Suh:
An Optimal Streaming Algorithm for Non-monotone Submodular Maximization. - Jiaqi Zhang, Beilun Wang:
Sparse and Low-Rank Tensor Regression via Parallel Proximal Method. - A. J. Santos:
Recognition of Blockchain-based Multisignature E-Awards. - Melkior Ornik, Ufuk Topcu:
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation. - Yawei Lu, Wei Chen, H. Vincent Poor:
On the Effective Throughput of Coded Caching: A Game Theoretic Perspective. - Xuewen Shi, Heyan Huang, Ping Jian, Yuhang Guo, Xiaochi Wei, Yi-Kun Tang:
Neural Chinese Word Segmentation as Sequence to Sequence Translation. - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Correlation-aware Adversarial Domain Adaptation and Generalization. - Mariana Macedo, Laura Lotero, Alessio Cardillo, Hugo Barbosa, Ronaldo Menezes:
Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration. - Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. - Sang Won Bae, Sang Duk Yoon:
Empty Squares in Arbitrary Orientation Among Points. - Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot:
Online Structured Sparsity-based Moving Object Detection from Satellite Videos. - (Withdrawn) Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization.
- Sethu Hareesh Kolluru:
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation. - Robert Ganian, Neha Lodha, Sebastian Ordyniak, Stefan Szeider:
SAT-Encodings for Treecut Width and Treedepth. - Wenpeng Li, Yongli Sun, Jinjun Wang, Han Xu, Xiangru Yang, Long Cui:
Collaborative Attention Network for Person Re-identification. - Manuel Lopes, Francisco S. Melo:
Class Teaching for Inverse Reinforcement Learners. - Minseok Choi, Andreas F. Molisch, Joongheon Kim:
Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks. - Bryar Ahmad Hassan, Tarik A. Rashid:
Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation. - Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
SOSD: A Benchmark for Learned Indexes. - Minsoo Kang, Jonghwan Mun, Bohyung Han:
Towards Oracle Knowledge Distillation with Neural Architecture Search. - Marco Forgione, Dario Piga, Alberto Bemporad:
Efficient Calibration of Embedded MPC. - Timotheus Kampik, Juan Carlos Nieves:
Abstract Argumentation and the Rational Man. - Robert Speck, Michael Knobloch, Andreas Gocht, Sebastian Lührs:
Using performance analysis tools for parallel-in-time integrators - Does my time-parallel code do what I think it does? - Maurício Sousa, Daniel Mendes, Joaquim A. Jorge:
Safe Walking In VR using Augmented Virtuality. - Marco Forgione, Dario Piga:
Model structures and fitting criteria for system identification with neural networks. - Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri:
Deep Networks with Adaptive Nyström Approximation. - J. Antonio Rivero Ostoic:
Algebraic analysis of multiple social networks with multiplex. - Krishna Kanth Nakka, Mathieu Salzmann:
Indirect Local Attacks for Context-aware Semantic Segmentation Networks. - Julien Monteil, Anton Dekusar, Claudio Gambella, Yassine Lassoued, Martin Mevissen:
Deep Learning to Scale up Time Series Traffic Prediction. - Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. - Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. - Raphaela Löbel, Michael Luttenberger, Helmut Seidl:
On the Balancedness of Tree-to-word Transducers. - Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink:
Trainable Communication Systems: Concepts and Prototype. - Dmitry Akimov:
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation. - Alessandro Neri, Sven Puchinger, Anna-Lena Horlemann-Trautmann:
Equivalence and Characterizations of Linear Rank-Metric Codes Based on Invariants. - Jan U. Müller, Reinhard Klein, Michael Weinmann:
Orthogonal Wasserstein GANs. - Wladimir Sidorenko:
Sentiment Analysis of German Twitter. - Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan:
A Multi-cascaded Deep Model for Bilingual SMS Classification. - Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Sparsely Grouped Input Variables for Neural Networks. - Mingshang Hu, Lianzi Jiang:
Numerical Schemes for Backward Stochastic Differential Equations Driven by $G$-Brownian motion. - Sebastian Risi, Julian Togelius:
Procedural Content Generation: From Automatically Generating Game Levels to Increasing Generality in Machine Learning. - Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
On the Benefits of Attributional Robustness. - Danijel Zlaus, Domen Mongus:
Efficient method for parallel computation of geodesic transformation on CPU. - Alexander Eckl, Luisa Peter, Maximilian Schiffer, Susanne Albers:
Minimization of Weighted Completion Times in Path-based Coflow Scheduling. - Akam Qader, Hossein Hassani:
Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset. - Xiaoming Sun, Yufan Zheng:
Hybrid Decision Trees: Longer Quantum Time is Strictly More Powerful. - Rujing Yao, Linlin Hou, Yingchun Ye, Ou Wu, Ji Zhang, Jian Wu:
Method and Dataset Mining in Scientific Papers. - Abdullahi Ali, Johan Kwisthout:
A spiking neural algorithm for the Network Flow problem. - William Shen, Felipe W. Trevizan, Sylvie Thiébaux:
Learning Domain-Independent Planning Heuristics with Hypergraph Networks. - Flavio Ferrarotti, Senén González, Klaus-Dieter Schewe, José Maria Turull Torres:
Proper Hierarchies in Polylogarithmic Time and Absence of Complete Problems. - Jules Simon, Guillaume-Alexandre Bilodeau, David Steele, Harshad Mahadik:
Color inference from semantic labeling for person search in videos. - Julien Lavauzelle, Pierre Loidreau, Ba-Duc Pham:
RAMESSES, a Rank Metric Encryption Scheme with Short Keys. - Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli:
Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems. - Gabriel Turinici:
X-Ray Sobolev Variational Auto-Encoders. - Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti:
Shortest Path Centrality and the All-pairs Shortest Paths Problem via Sample Complexity. - Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. - Kevin Kells:
A Proposed Practical Problem-Solving Framework for Multi-Stakeholder Initiatives in Socio-Ecological Systems Based on a Model of the Human Cognitive Problem-Solving Process. - Leo Feng, Luisa M. Zintgraf, Bei Peng, Shimon Whiteson:
VIABLE: Fast Adaptation via Backpropagating Learned Loss. - Felipe A. Cruz, Maxime Martinasso:
FirecREST: RESTful API on Cray XC systems. - Rajesh Chitnis, Andreas Emil Feldmann, MohammadTaghi Hajiaghayi, Dániel Marx:
Tight Bounds for Planar Strongly Connected Steiner Subgraph with Fixed Number of Terminals (and Extensions). - Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier:
Deep autofocus with cone-beam CT consistency constraint. - Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei:
CAGNet: Content-Aware Guidance for Salient Object Detection. - Mohammad Neinavaie, Mostafa Derakhtian, Sergiy A. Vorobyov:
Lossless Size Reduction for Integer Least Squares with Application to Sphere Decoding. - Brendan Ruff, Taylor Beck, Joscha Bach:
Mean Shift Rejection: Training Deep Neural Networks Without Minibatch Statistics or Normalization. - Geoffrey McGregor, Jean-Christophe Nave:
Parametric Interpolation Framework for 1-D Scalar Conservation Laws with Non-Convex Flux Functions. - Jesper C. Provoost, Luc J. J. Wismans, Sander van der Drift, Andreas Kamilaris, Maurice van Keulen:
Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques. - Eitan Levin, Tamir Bendory:
A note on Douglas-Rachford, subgradients, and phase retrieval. - Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo:
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. - Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation. - Julian Renner, Thomas Jerkovits, Hannes Bartz, Sven Puchinger, Pierre Loidreau, Antonia Wachter-Zeh:
Randomized Decoding of Gabidulin Codes Beyond the Unique Decoding Radius. - Claudia S. Bianchini, Fabrizio Borgia, Maria De Marsico:
A concrete example of inclusive design: deaf-oriented accessibility. - Lei Liu:
QoS-Aware Machine Learning-based Multiple Resources Scheduling for Microservices in Cloud Environment. - Ali Oskooei, Sophie Mai Chau, Jonas R. M. Weiss, Arvind Sridhar, María Rodríguez Martínez, Bruno Michel:
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data. - Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova:
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory. - Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts:
ModelHub.AI: Dissemination Platform for Deep Learning Models. - Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui:
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing. - Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mühlhäuser:
DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks. - Fabrizio Borgia, Claudia S. Bianchini, Maria De Marsico:
Towards improving the e-learning experience for deaf students: e-LUX. - Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. - Giulio Romualdi, Stefano Dafarra, Yue Hu, Prashanth Ramadoss, Francisco Javier Andrade Chavez, Silvio Traversaro, Daniele Pucci:
A Benchmarking of DCM Based Architectures for Position, Velocity and Torque Controlled Humanoid Robots. - Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer:
Domain-Aware Dynamic Networks. - Jinle Zhu, Qiang Li, Li Hu, Hongyang Chen, Nirwan Ansari:
Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System. - Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang:
Deep Image Harmonization via Domain Verification. - Chee Wee Leong, Katrina Roohr, Vikram Ramanarayanan, Michelle P. Martin-Raugh, Harrison Kell, Rutuja Ubale, Yao Qian, Zydrune Mladineo, Laura McCulla:
To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments. - Raunak Sinha, Anush Sankaran, Mayank Vatsa, Richa Singh:
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework. - Jiangtong Li, Zhixin Ling, Li Niu, Liqing Zhang:
Bi-Directional Domain Translation for Zero-Shot Sketch-Based Image Retrieval. - Julia El Zini, Yara Rizk, Mariette Awad:
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. - Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Music Source Separation in the Waveform Domain. - Chi Zhang, Massoud Rezavand, Xiangyu Hu:
A multi-resolution SPH method for fluid-structure interactions. - Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib:
Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors. - Ziming Liu, Xiaobo Liu:
Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC. - Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan:
Adversarially Robust Low Dimensional Representations. - Michail Tarasiou, Stefanos Zafeiriou:
Using Fully Convolutional Neural Networks to detect manipulated images in videos. - Andrew Gambardella, Atilim Günes Baydin, Philip H. S. Torr:
Transflow Learning: Repurposing Flow Models Without Retraining. - Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo:
Unpaired Image Translation via Adaptive Convolution-based Normalization. - Jun Qin, Lexing Ying:
Hierarchical Low-rank Structure of Parameterized Distributions. - Saikat Chakraborty:
A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization. - Edward Newell, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Deconstructing and reconstructing word embedding algorithms. - Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin W. Wah, Philip H. S. Torr:
Domain-invariant Stereo Matching Networks. - Omer Berat Sezer, M. Ugur Gudelek, Ahmet Murat Özbayoglu:
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019. - Kathleen E. Hamilton, Raphael C. Pooser:
Error-mitigated data-driven circuit learning on noisy quantum hardware. - Maciej Skorski:
Chain Rules for Hessian and Higher Derivatives Made Easy by Tensor Calculus. - Alkida Balliu, Sebastian Brandt, Yuval Efron, Juho Hirvonen, Yannic Maus, Dennis Olivetti, Jukka Suomela:
Classification of distributed binary labeling problems. - Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? - Gabriele Vajente, Yiwen Huang, Maximiliano Isi, Jenne C. Driggers, Jeffrey S. Kissel, Marek J. Szczepanczyk, Salvatore Vitale:
Machine-learning non-stationary noise out of gravitational wave detectors. - Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, Kartik M. Varadarajan:
Detecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network. - Alessandra Cipriani, Andrea Fontanari:
Dynamical fitness models: evidence of universality classes for preferential attachment graphs. - Shahin Khobahi, Mojtaba Soltanalian:
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding. - Wouter Cames van Batenburg, Jan Goedgebeur, Gwenaël Joret:
Large independent sets in triangle-free cubic graphs: beyond planarity. - Thomas Y. Hou, Zhenzhen Li, Ziyun Zhang:
Analysis of Asymptotic Escape of Strict Saddle Sets in Manifold Optimization. - Weijie Yuan, Zhiqiang Wei, Jinhong Yuan, Derrick Wing Kwan Ng:
A Simple Variational Bayes Detector for Orthogonal Time Frequency Space (OTFS) Modulation. - Jordan Burns, David Maughan, Yih Sung:
A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics. - Jan-Willem Goossens, Hartmut Hafermann, Yves Jaouën:
Data Transmission based on Exact Inverse Periodic Nonlinear Fourier Transform, Part I: Theory. - Jan-Willem Goossens, Hartmut Hafermann, Yves Jaouën:
Data Transmission based on Exact Inverse Periodic Nonlinear Fourier Transform, Part II: Waveform Design and Experiment. - Zhe Zhang, Ming Wu, Xinyu Han, Jun Yang:
Performance Comparison of UCA and UCCA based Real-time Sound Source Localization Systems using Circular Harmonics SRP Method. - Rohit Kumar, Anirudh Sreeram, Anurenjan Purushothaman, Sriram Ganapathy:
Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR. - Andris Ambainis, Kaspars Balodis, Janis Iraids, Krisjanis Prusis, Juris Smotrovs:
Quantum Lower Bounds for 2D-Grid and Dyck Language. - Alwin Zulehner, Stefan Hillmich, Robert Wille:
How to Efficiently Handle Complex Values? Implementing Decision Diagrams for Quantum Computing. - Claire McKay Bowen, Joshua Snoke:
Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards. - Dimitar Ninevski, Paul O'Leary:
Detection of Derivative Discontinuities in Observational Data. - Jun Jin, Chao Ying, Zhou Yu:
Distributed estimation of principal support vector machines for sufficient dimension reduction. - Adnan Akbar, Geoffroy Dubourg-Felonneau, Andrey Solovyev, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Effective Sub-clonal Cancer Representation to Predict Tumor Evolution. - Qinghao Ye, Kaiyuan Hu, Yizhe Wang:
Application of Time Series Analysis to Traffic Accidents in Los Angeles. - Tommi Gröhn, Joona Karjalainen, Lasse Leskelä:
Clique and cycle frequencies in a sparse random graph model with overlapping communities. - Basel Alyafi, Oliver Díaz, Joan Carles Vilanova, Javier del Riego, Robert Marti:
Quality analysis of DCGAN-generated mammography lesions. - Jared Miller, Yang Zheng, Mario Sznaier, Antonis Papachristodoulou:
Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization. - Gushu Li, Yufei Ding, Yuan Xie:
Towards Efficient Superconducting Quantum Processor Architecture Design. - Tongyang Xu, Christos Masouros, Izzat Darwazeh:
Design and Prototyping of Hybrid Analogue Digital Multiuser MIMO Beamforming for Non-Orthogonal Signals. - Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, Ghassan Hamarneh:
Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges. - Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi:
Enhancing Passive Non-Line-of-Sight Imaging Using Polarization Cues. - Masashi Wakaiki, Hideki Sano:
Stability Analysis of Infinite-dimensional Event-triggered and Self-triggered Control Systems with Lipschitz Perturbations. - Yuxuan Zhao, Xinyan Cao, Jinlong Lin, Dunshan Yu, Xixin Cao:
Multimodal Emotion Recognition Model using Physiological Signals. - Vladimir N. Potapov:
Constructions of Pairs of Orthogonal Latin Cubes. - Xingpeng Li, Qianxue Xia:
Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables. - Mengbin Ye, Ji Liu, Brian D. O. Anderson, Ming Cao:
Applications of the Poincaré-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems. - Tao Zeng, Hu Wang, Meng-Zhu Yang, Joe Alexandersen:
Topology optimization of heat sinks for instantaneous chip cooling using a transient pseudo-3D thermofluid model. - Antonio Quintero-Rincón, Catalina Carenzo, Joaquín Ems, Lourdes Hirschson, Valeria Muro, Carlos D'Giano:
Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient. - Fufang Wen, Jiaqi Jiang, Jonathan A. Fan:
Progressive-Growing of Generative Adversarial Networks for Metasurface Optimization. - Hong Ren, Cunhua Pan, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan:
Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario. - Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen, Anthony L. Caterini, Dino Sejdinovic, Philip Stier:
Detecting anthropogenic cloud perturbations with deep learning. - Alessandra Bernardi, Martina Iannacito, Duccio Rocchini:
High Order Singular Value Decomposition for Plant Biodiversity Estimation. - Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise:
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. - Emerson V. Castelani, Ronaldo Lopes, Wesley V. I. Shirabayashi, Francisco Nogueira Calmon Sobral:
A robust method based on LOVO functions for solving least squares problems. - Marcelo Zanchetta do Nascimento, Valério Ramos Batista:
Numerics on the trajectory of nodule displacements by external compressions of the breast. - Solenne Gaucher, Olga Klopp, Geneviève Robin:
Link Prediction in the Stochastic Block Model with Outliers. - Paolo Cabras, Florent Nageotte, Philippe Zanne, Christophe Doignon:
An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images. - Héctor Rodriguez Déniz, Mattias Villani, Augusto Voltes-Dorta:
A Bayesian Dynamic Multilayered Block Network Model. - Hong Ren, Cunhua Pan, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan:
Resource Allocation for Secure URLLC in Vehicular Communications: A Physical Layer Perspective. - Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches. - Sean Moran, Gregory G. Slabaugh:
DIFAR: Deep Image Formation and Retouching. - Yuwei Fan, Lexing Ying:
Solving Inverse Wave Scattering with Deep Learning. - Adeline Fermanian:
Embedding and learning with signatures. - Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal:
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. - Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis:
Class-Conditional VAE-GAN for Local-Ancestry Simulation. - Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer. - Alireza Mehrtash, William M. Wells III, Clare M. Tempany, Purang Abolmaesumi, Tina Kapur:
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation. - Lucien Hardy, Adam G. M. Lewis:
Quantum Computation with Machine-Learning-Controlled Quantum Stuff. - Moeness G. Amin, Ronny G. Guendel:
Radar Human Motion Recognition Using Motion States and Two-Way Classifications. - Philippe G. LeFloch, Jean-Marc Mercier:
Mesh-free error integration in arbitrary dimensions: a numerical study of discrepancy functions. - Feng Jin, Renyuan Zhang, Arindam Sengupta, Siyang Cao, Salim Hariri, Nimit K. Agarwal, Sumit K. Agarwal:
Multiple Patients Behavior Detection in Real-time using mmWave Radar and Deep CNNs. - Feng Jin, Arindam Sengupta, Siyang Cao, Yao-Jan Wu:
MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring. - Arindam Sengupta, Feng Jin, Renyuan Zhang, Siyang Cao:
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs. - Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron:
Unlabeled sensing with local permutations. - K. B. Johnston, S. M. Caballero-Nieves, Veronique Petit, Adrian M. Peter, Rana Haber:
Variable Star Classification Using Multi-View Metric Learning. - Brian A. Freno, William A. Johnson, Brian F. Zinser, Donald R. Wilton, Francesca Vipiana, Salvatore Campione:
Characterization and Integration of the Singular Test Integrals in the Method-of-Moments Implementation of the Electric-Field Integral Equation. - Taoli Cheng:
Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider. - Quanlong Wang:
An Algebraic Axiomatisation of ZX-calculus. 303-332 - Niel de Beaudrap, Xiaoning Bian, Quanlong Wang:
Techniques to Reduce (π/4)-Parity-Phase Circuits, Motivated by the ZX Calculus. 131-149 - Benyuan Zhao, Peichao Zhang, Yizhi Cheng:
A Semi-Markov Model for the Control of Thermostatically Controlled Load. - Xinyu Huang, Lijun He, Xin Chen, Fan Li, Guizhong Liu:
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers. - Janine Matschek, Tim Gonschorek, Magnus Hanses, Norbert Elkmann, Frank Ortmeier, Rolf Findeisen:
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery.
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