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ORCIDCoRR, May 2019
- Victor Peña, Humberto Sarria:
How to Find New Characteristic-Dependent Linear Rank Inequalities using Binary Matrices as a Guide. - Jinjia Peng, Huibing Wang, Xianping Fu:
Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification. - Aliaksandr Siarohin, Stéphane Lathuilière, Enver Sangineto, Nicu Sebe:
Appearance and Pose-Conditioned Human Image Generation using Deformable GANs. - Neda Abediyarandi, Philipp Mayr:
The State of Open Access in Germany: An Analysis of the Publication Output of German Universities. - Deeparnab Chakrabarty, Chaitanya Swamy:
Simpler and Better Algorithms for Minimum-Norm Load Balancing. - Gagan Kanojia, Sudhakar Kumawat, Shanmuganathan Raman:
Attentive Spatio-Temporal Representation Learning for Diving Classification. - Grigor Aslanyan, Aritra Mandal, Prathyusha Senthil Kumar, Amit Jaiswal, Manojkumar Rangasamy Kannadasan:
Personalized Ranking in eCommerce Search. - Jeffrey Uhlmann:
A Scale-Consistent Approach for Recommender Systems. - Danna Gurari, Yinan Zhao, Suyog Dutt Jain, Margrit Betke, Kristen Grauman:
Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. - Xiao-Ling Pang, Lu-Feng Qiao, Ke Sun, Yu Liu, Ai-Lin Yang, Xian-Min Jin:
Experimental Quantum-enhanced Cryptographic Remote Control. - Celia García-Corrales, Unai Fernández-Plazaola, Francisco J. Cañete, José F. Paris, Francisco Javier López-Martínez:
Unveiling the Hyper-Rayleigh Regime of the Fluctuating Two-Ray Fading Model. - Joan Boyar, Lene M. Favrholdt, Shahin Kamali, Kim S. Larsen:
Online Bin Covering with Advice. - Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. - Pablo Ramírez-Espinosa, Francisco Javier López-Martínez:
On the Utility of the Inverse Gamma Distribution in Modeling Composite Fading Channels. - Magali Bardet, Ayoub Otmani, Mohamed Saeed-Taha:
Permutation Code Equivalence is not Harder than Graph Isomorphism when Hulls are Trivial. - Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe, Alexander A. Alemi:
On the Use of ArXiv as a Dataset. - Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-Yiin Chang, Tara N. Sainath:
Deep Learning for Audio Signal Processing. - Jianlin Shi, John F. Hurdle:
FastContext: an efficient and scalable implementation of the ConText algorithm. - Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes:
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. - Qiulin Lin, Wenjie Xu, Minghua Chen, Xiaojun Lin:
A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization. - Mrinal Kumar, Ramprasad Saptharishi, Noam Solomon:
Derandomization from Algebraic Hardness: Treading the Borders. - Max Schröder, Frank Krüger, Sascha Spors:
Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles. - Jiakai Wei:
Forget the Learning Rate, Decay Loss. - Juan Michael Sargado:
A new object-oriented framework for solving multiphysics problems via combination of different numerical methods. - Mitre Costa Dourado:
Computing the hull number in toll convexity. - Miguel Arrieta, Iñaki Esnaola, Michelle Effros:
Universal Mutual Information Privacy Guarantees for Smart Meters. - Christian Raffelsberger, Raheeb Muzaffar, Christian Bettstetter:
A Performance Evaluation Tool for Drone Communications in 4G Cellular Networks. - YuKun Yao:
A Detailed Analysis of Quicksort Algorithms with Experimental Mathematics. - Li Chen, Carter Yagemann, Evan Downing:
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis. - Yahia Shabara, Eylem Ekici, C. Emre Koksal:
Source Coding Based mmWave Channel Estimation with Deep Learning Based Decoding. - Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau:
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). - Ben Adcock, Vegard Antun, Anders C. Hansen:
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling. - Maximilian Haas-Heger, Matei T. Ciocarlie:
3D Grasp Stability Analysis with Coulomb Friction with Hierarchical Convex Relaxations. - Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
:
Harmonic Networks with Limited Training Samples. - Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Luca Maria Aiello, Rossano Schifanella, Daniele Quercia, Lucia Del Prete:
Large-scale and high-resolution analysis of food purchases and health outcomes. - Carolina Naim, Fangwei Ye, Salim El Rouayheb:
ON-OFF Privacy with Correlated Requests. - Lily Hu, Yiling Chen:
Fair Classification and Social Welfare. - Yang Jiao, R. Ravi:
Inventory Routing Problem with Facility Location. - Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin:
Self-Supervised Convolutional Subspace Clustering Network. - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
A Style Transfer Approach to Source Separation. - Qingqing Wu, Rui Zhang:
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network. - Saeed Valizadeh, Marten van Dijk:
On the Convergence Rates of Learning-based Signature Generation Schemes to Contain Self-propagating Malware. - Haitao Wang, Jie Xue:
Improved Algorithms for the Bichromatic Two-Center Problem for Pairs of Points. - Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha:
On Scalable and Efficient Computation of Large Scale Optimal Transport. - Yaroslav Koshka, Mark A. Novotny:
Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer. - Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. - Dominik Köppl:
Separate Chaining Meets Compact Hashing. - Andrei E. Romashchenko, Marius Zimand:
On a conditional inequality in Kolmogorov complexity and its applications in communication complexity. - Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné:
Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. - Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Dropping Pixels for Adversarial Robustness. - Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka, Minoru Kumano, Takao Ito, Masaharu Hirota:
Emotional Contribution Analysis of Online Reviews. - Vasyl Pihur:
The Podium Mechanism: Improving on the Laplace and Staircase Mechanisms. - Trung Trinh, Tho Quan, Trung Mai:
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors. - Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming. - Tuly Hazbar, Shitij Kumar, Ferat Sahin:
Cyber-Physical Testbed for Human-Robot Collaborative Task Planning and Execution. - Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Emre Can Kara, Ram Rajagopal, Marco Pavone:
On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. - Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth:
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving. - Jennifer Sorinas, José Manuel Ferrández, Eduardo Fernández:
The Psychological and Physiological Part of Emotions: Multimodal Approximation for Valence Classification. - Xin Bian, Sergey Litvinov, Petros Koumoutsakos:
Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity. - Davide Peron, Marco Giordani, Michele Zorzi:
An Efficient Requirement-Aware Attachment Policy for Future Millimeter Wave Vehicular Networks. - Charles Chen, Razvan C. Bunescu:
Context-Dependent Semantic Parsing over Temporally Structured Data. - Ahmad Khaliq, Sangeet Saha, Bina Bhatt, Dongbing Gu, Klaus D. McDonald-Maier:
Profi-Load: An FPGA-Based Solution for Generating Network Load in Profinet Communication. - Omar Zahra, David Navarro-Alarcon:
A Self-Organizing Network with Varying Density Structure for Characterizing Sensorimotor Transformations in Robotic Systems. - Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen:
Surface Type Classification for Autonomous Robot Indoor Navigation. - Marcelo Cabral Ghilardi, Leandro Dihl, Estevão Testa, Pedro Braga, João P. Pianta, Isabel Harb Manssour, Soraia Raupp Musse:
Automatic Dataset Augmentation Using Virtual Human Simulation. - Azza Allouch, Omar Cheikhrouhou, Anis Koubaa, Mohamed Khalgui, Tarek Abbes:
MAVSec: Securing the MAVLink Protocol for Ardupilot/PX4 Unmanned Aerial Systems. - Curtis Bright, Ilias S. Kotsireas, Vijay Ganesh:
New Infinite Families of Perfect Quaternion Sequences and Williamson Sequences. - Yin Cao, Qiuqiang Kong, Turab Iqbal, Fengyan An, Wenwu Wang, Mark D. Plumbley:
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy. - Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung:
ASER: A Large-scale Eventuality Knowledge Graph. - Ningyu He, Lei Wu, Haoyu Wang, Yao Guo, Xuxian Jiang:
Characterizing Code Clones in the Ethereum Smart Contract Ecosystem. - Zoltán Kása:
Warshall's algorithm - survey and applications. - Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Learn to synthesize and synthesize to learn. - Kieran Woodward, Eiman Kanjo, David J. Brown, T. Martin McGinnity, Becky Inkster, Donald J. Macintyre, Athanasios Tsanas:
Beyond Mobile Apps: A Survey of Technologies for Mental Well-being. - Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations. - Xin Chen, Na Li:
Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. - Kaushik Sarker, Hasibur Rahman, Khandaker Farzana Rahman, Md. Shohel Arman, Saikat Biswas, Touhid Bhuiyan:
A Comparative Analysis of the Cyber Security Strategy of Bangladesh. - Ajay Bhardwaj, Samar Agnihotri:
D2D Multicast in Underlay Cellular Networks with Exclusion Zones. - Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. - Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh, Max Mühlhäuser, Simin Nadjm-Tehrani:
On generating network traffic datasets with synthetic attacks for intrusion detection. - Hans L. Bodlaender, Sudeshna Kolay, Astrid Pieterse:
Parameterized Complexity of Conflict-free Graph Coloring. - Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou, Athanasios Papaioannou, Stefanos Zafeiriou:
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation. - Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk, Alexander Wong:
Towards computer vision powered color-nutrient assessment of pureed food. - Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram:
Robust simultaneous stabilization and decoupling of unstable adversely coupled uncertain resource constraints plants of a nano air vehicle. - Florian Kammüller:
QKD in Isabelle - Bayesian Calculation. - Hugo Manuel Proença, Matthijs van Leeuwen:
Interpretable multiclass classification by MDL-based rule lists. - Taiping He, Tao Wang, Ralph Abbey, Joshua Griffin:
High-Performance Support Vector Machines and Its Applications. - Yunfei Long, Amber Bassett, Karen Cichy, Addie M. Thompson, Daniel Morris:
Bean Split Ratio for Dry Bean Canning Quality and Variety Analysis. - Rémy Belmonte, Tesshu Hanaka, Michael Lampis, Hirotaka Ono, Yota Otachi:
Independent Set Reconfiguration Parameterized by Modular-Width. - Alberto Ancona, Ayesha Bajwa, Nancy A. Lynch, Frederik Mallmann-Trenn:
How to Color a French Flag-Biologically Inspired Algorithms for Scale-Invariant Patterning. - Matteo Biagiola, Andrea Stocco, Ali Mesbah, Filippo Ricca, Paolo Tonella:
E2E Web Test Dependency Detection using NLP. - Jinglin Chen, Nan Jiang:
Information-Theoretic Considerations in Batch Reinforcement Learning. - Yannai A. Gonczarowski, Lior Kovalio, Noam Nisan, Assaf Romm:
Matching for the Israeli "Mechinot" Gap-Year Programs: Handling Rich Diversity Requirements. - Anders Aamand, Jakob Bæk Tejs Knudsen, Mathias Bæk Tejs Knudsen, Peter M. R. Rasmussen, Mikkel Thorup:
Fast hashing with Strong Concentration Bounds. - Juan E. Tapia, Claudia Arellano:
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features. - Marco M. Nicotra, Dominic Liao-McPherson, Laurent Burlion, Ilya V. Kolmanovsky:
Spacecraft Attitude Control with Nonconvex Constraints: An Explicit Reference Governor Approach. - Qing-Biao Li, Jianyu Lin, Neil T. Clancy, Daniel S. Elson:
Estimation of Tissue Oxygen Saturation from RGB images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network. - Juan E. Tapia, Christian Rathgeb, Christoph Busch:
Sex-Prediction from Periocular Images across Multiple Sensors and Spectra. - Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. - Anaïs Finzi, Ahlem Mifdaoui, Fabrice Frances, Emmanuel Lochin:
Network Calculus-based Timing Analysis of AFDX networks incorporating multiple TSN/BLS traffic classes. - Matan Goldman, Tal Hassner, Shai Avidan:
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. - Yannis Smaragdakis:
Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring? - Alexios Balatsoukas-Stimming, Stefano Rini, Jörg Kliewer:
LDPC Coded Multiuser Shaping for the Gaussian Multiple Access Channel. - Xi Xiong, Kaan Ozbay, Li Jin, Chen Feng:
Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks. - Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation with Multiplane Images. - Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton:
Similarity of Neural Network Representations Revisited. - Ryan A. Robinett, Jeremy Kepner:
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. - Md Umar Hashmi, Arpan Mukhopadhyay, Ana Busic, Jocelyne Elias:
Optimal Storage Arbitrage under Net Metering using Linear Programming. - Wenqi Zhu, Yuesheng Zhu, Li Zhong, Shuai Yang:
Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering. - Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Huan Liu:
A Novel Trend Symbolic Aggregate Approximation for Time Series. - Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé:
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. - Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray:
Automated Machine Learning via ADMM. - Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. - Ozan Irsoy:
On Expected Accuracy. - Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong:
Signed Distance-based Deep Memory Recommender. - Igor V. Tarasyuk:
Discrete time stochastic and deterministic Petri box calculus. - Rupert Freeman, David M. Pennock, Dominik Peters, Jennifer Wortman Vaughan:
Truthful Aggregation of Budget Proposals. - Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher:
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. - Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong:
Full-stack Optimization for Accelerating CNNs with FPGA Validation. - Jiarui Gan, Warut Suksompong, Alexandros A. Voudouris:
Envy-Freeness in House Allocation Problems. - Swagata Duari, Vasudha Bhatnagar:
Semi-automatic System for Title Construction. - Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan:
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project. - Zhao Song, Wen Sun:
Efficient Model-free Reinforcement Learning in Metric Spaces. - Imene Trigui, Panagiotis D. Diamantoulakis, Sofiène Affes, George K. Karagiannidis:
Shadowed FSO/mmWave Systems with Interference. - Guodong Zhang, Kapil Khandelwal:
Computational Design of Finite Strain Auxetic Metamaterials via Topology Optimization and Nonlinear Homogenization. - Tanzila Saba, Amjad Rehman:
Online Decision Process based on Machine Learning Techniques. - Fayeem Aziz, Stephan K. Chalup, James Juniper:
Big Data in IoT Systems. - Fatemeh Afghah, Abolfazl Razi, Jacob Chakareski, Jonathan D. Ashdown:
Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles. - Siddique Latif, Adnan Qayyum, Muhammad Usama, Junaid Qadir, Andrej J. Zwitter, Muhammad Shahzad:
Caveat emptor: the risks of using big data for human development. - Jake Roemer, Kaan Genç, Michael D. Bond:
Practical Predictive Race Detection. - Marijan Vukosavljev, Zachary Kroeze, Angela P. Schoellig, Mireille E. Broucke:
A Modular Framework for Motion Planning using Safe-by-Design Motion Primitives. - Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon:
A Unified Deep Learning Formalism For Processing Graph Signals. - Robert Singer:
An Ontological Analysis of Business Process Modeling and Execution. - Marijan Vukosavljev, Angela P. Schoellig, Mireille E. Broucke:
Hierarchically Consistent Motion Primitives for Quadrotor Coordination. - Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini:
The role of artificial intelligence in achieving the Sustainable Development Goals. - David Paulius, Kelvin Sheng Pei Dong, Yu Sun:
Functional Object-Oriented Network: Considering Robot's Capability in Human-Robot Collaboration. - Siddharth, Mohan M. Trivedi:
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. - Chiranjib Saha, Harpreet S. Dhillon:
Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks. - Yu Zhang, Li Wang:
From Abstractions to "Natural Languages" for Planning Agents. - Erik D. Demaine, David Eppstein, Adam Hesterberg, Kshitij Jain, Anna Lubiw, Ryuhei Uehara, Yushi Uno:
Reconfiguring Undirected Paths. - Ivan Eichhardt, Daniel Barath:
Optimal Multi-view Correction of Local Affine Frames. - Songtao Feng, Jing Yang:
Adaptive Coding for Information Freshness in a Two-user Broadcast Erasure Channel. - Paul Sheridan, Mikael Onsjö, Janna Hastings:
The Literary Theme Ontology for Media Annotation and Information Retrieval. - Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi:
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. - Ramin Nabati, Hairong Qi:
RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles. - Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang:
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. - Carlo Baldassi:
Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs. - Andrea Bajcsy, Somil Bansal, Eli Bronstein, Varun Tolani, Claire J. Tomlin:
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments. - Abu Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Faryad Darabi Sahneh, Richard Spence:
A General Framework for Multi-level Subsetwise Graph Sparsifiers. - Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman:
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. - Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. - Hui Tu, Jia Zhu, Yulong Zou:
Optimal Power Allocation for Minimizing Outage Probability of UAV Relay Communications. - I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan:
Billion-scale semi-supervised learning for image classification. - George Cevora:
The relationship between Biological and Artificial Intelligence. - Renlord Yang, Toby Murray, Paul Rimba, Udaya Parampalli:
Empirically Analyzing Ethereum's Gas Mechanism. - Xintao Huan, Kyeong Soo Kim:
On the Practical Implementation of Propagation Delay and Clock Skew Compensated High-Precision Time Synchronization Schemes with Resource-Constrained Sensor Nodes in Multi-Hop Wireless Sensor Networks. - Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu:
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. - Joost Engelfriet, Heiko Vogler:
A Büchi-Elgot-Trakhtenbrot theorem for automata with MSO graph storage. - Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan:
Large-scale weakly-supervised pre-training for video action recognition. - Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. - Bo Pu, Lujie Duan, Nathaniel Osgood:
Parallelizing Convergent Cross Mapping Using Apache Spark. - Suman K. Bera, Amit Chakrabarti, Prantar Ghosh:
Graph Coloring via Degeneracy in Streaming and Other Space-Conscious Models. - Xiuwen Zheng, Amarnath Gupta:
Social Network of Extreme Tweeters: A Case Study. - Mohammed Amer, Tomás Maul:
Weight Map Layer for Noise and Adversarial Attack Robustness. - Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu:
Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. - Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren:
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. - Vlad Eidelman, Brian Grom:
Argument Identification in Public Comments from eRulemaking. - Uwe Naumann:
A Note on Adjoint Linear Algebra. - Wenmian Yang, Wenyuan Gao, Xiaojie Zhou, Weijia Jia, Shaohua Zhang, Yutao Luo:
Herding Effect based Attention for Personalized Time-Sync Video Recommendation. - Yuval Emek, Shay Kutten, Ron Lavi, William K. Moses Jr.:
Deterministic Leader Election in Programmable Matter. - Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, Prem Natarajan:
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos. - Alexandre Reiffers-Masson, Rajesh Sundaresan:
Reputation-Based Information Design for Inducing Prosocial Behavior. - Kartik Ahuja:
Estimating Kullback-Leibler Divergence Using Kernel Machines. - Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka:
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling. - Xi Yang, Bojian Wu, Issei Sato, Takeo Igarashi:
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping. - Schalk Wilhelm Pienaar, Reza Malekian:
Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture. - Christopher E. O'Lone, Harpreet S. Dhillon, R. Michael Buehrer:
A Mathematical Justification for Exponentially Distributed NLOS Bias. - Mohsen Annabestani, Alireza Rowhanimanesh, Akram Rezaei, Ladan Avazpour, Fatemeh Sheikhhasani:
A knowledge-based intelligent system for control of dirt recognition process in the smart washing machines. - Bin Liu, Grigorios Tsoumakas:
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution. - Sándor P. Fekete, Sven von Höveling, Christian Scheffer:
Online Circle Packing. - Ross Gruetzemacher, David B. Paradice:
Alternative Techniques for Mapping Paths to HLAI. - He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. - Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi, Markus Püschel:
On Linear Learning with Manycore Processors. - Reshef Meir, Ofra Amir, Gal Cohensius, Omer Ben-Porat, Lirong Xia:
Truth Discovery via Proxy Voting. - Jürgen Lerner, Alessandro Lomi:
Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events. - Dennis Mantz, Jiska Classen, Matthias Schulz, Matthias Hollick:
InternalBlue - Bluetooth Binary Patching and Experimentation Framework. - Jiska Classen, Matthias Hollick:
Inside Job: Diagnosing Bluetooth Lower Layers Using Off-the-Shelf Devices. - Giulia Orrù, Roberto Casula, Pierluigi Tuveri, Carlotta Bazzoni, Giovanna Dessalvi, Marco Micheletto, Luca Ghiani, Gian Luca Marcialis:
LivDet in Action - Fingerprint Liveness Detection Competition 2019. - Siddharth Barman, Omar Fawzi, Suprovat Ghoshal, Emirhan Gürpinar:
Tight Approximation Bounds for Maximum Multi-Coverage. - Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, Stefanos Zafeiriou:
RetinaFace: Single-stage Dense Face Localisation in the Wild. - Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey:
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. - Lisa A. Chalaguine, Anthony Hunter, Fiona L. Hamilton, Henry W. W. Potts:
Impact of Argument Type and Concerns in Argumentation with a Chatbot. - Damien Desfontaines, Elisabeth Krahmer, Esfandiar Mohammadi:
Passive and active attackers in noiseless privacy. - Joshua Y. Kim, Rafael A. Calvo, Kalina Yacef, N. J. Enfield:
A Review on Dyadic Conversation Visualizations - Purposes, Data, Lens of Analysis. - Vincent Cohen-Addad, Marcin Pilipczuk, Michal Pilipczuk:
Efficient approximation schemes for uniform-cost clustering problems in planar graphs. - Daniel Castro, Paolo Romano, Aleksandar Ilic, Amin M. Khan:
HeTM: Transactional Memory for Heterogeneous Systems. - Krzysztof Turowski, Jithin K. Sreedharan, Wojciech Szpankowski:
Temporal Ordered Clustering in Dynamic Networks. - Jing Chen, Pirah Noor Soomro, Mustafa Abdul Jabbar, Miquel Pericàs:
An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity. - Xiaogang Xiong, Wenqing Chen, Zhichao Liu, Qiang Shen:
DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF. - Fares Zaidi, Laurent Amanton, Eric Sanlaville:
Towards a Novel Cooperative Logistics Information System Framework. - Rinku Datta Rakshit, Dakshina Ranjan Kisku, Massimo Tistarelli, Phalguni Gupta:
Face Identification using Local Ternary Tree Pattern based Spatial Structural Components. - Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-based Skyline. - Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong:
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization. - Xiaogang Xiong, Wei Chen, Guohua Jiao, Shanhai Jin, Shyam Kamal:
Chattering-Free Implementation of Continuous Terminal Algorithm with Implicit Euler Method. - Klemens Esterle, Vincent Aravantinos, Alois C. Knoll:
From Specifications to Behavior: Maneuver Verification in a Semantic State Space. - Rongpeng Li, Zhifeng Zhao, Xing Hsu, Fei Ni, Honggang Zhang:
The Collective Intelligence for Advancing 6G Communications. - Aditya Saligrama:
KnowBias: A Novel AI Method to Detect Polarity in Online Content. - Sahar Mehrpour, Alireza Zarei:
Pseudo-Triangle Visibility Graph: Characterization and Reconstruction. - Omar Besbes, Adam N. Elmachtoub, Yunjie Sun:
Static Pricing: Universal Guarantees for Reusable Resources. - Nirupam Gupta, Nikhil Chopra:
Privacy of Agents' Costs in Peer-to-Peer Distributed Optimization. - Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool:
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation. - Janne Karttunen, Anssi Kanervisto, Ville Hautamäki, Ville Kyrki:
From Video Game to Real Robot: The Transfer between Action Spaces. - Georgios Kapidis, Ronald Poppe, Elsbeth A. van Dam, Lucas P. J. J. Noldus, Remco C. Veltkamp:
Egocentric Hand Track and Object-based Human Action Recognition. - Ahmed Mazari, Hichem Sahbi:
Human Action Recognition with Deep Temporal Pyramids. - Chao Wu, Jun Xiao, Gang Huang, Fei Wu:
Galaxy Learning - A Position Paper. - Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Zhiyi Huang, Xue Zhu:
Scalable and Jointly Differentially Private Packing. - Ferdi Kara, Hakan Kaya:
Threshold-based Selective Cooperative-NOMA. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Clustering Images by Unmasking - A New Baseline. - Anthony Kleerekoper, Javier Navaridas, Mikel Luján:
Can the Optimizer Cost be Used to Predict Query Execution Times? - Ferdi Kara, Hakan Kaya:
Performance Analysis of SSK-NOMA. - Suraj Srinivas, François Fleuret:
Full-Jacobian Representation of Neural Networks. - Weilin Li, Wenjing Liao:
Conditioning of restricted Fourier matrices and super-resolution of MUSIC. - Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Jean-François Raskin, Marie van den Bogaard:
The Complexity of Subgame Perfect Equilibria in Quantitative Reachability Games (full version). - Francisco Carpio, Admela Jukan, Román Sosa, Ana Juan Ferrer:
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning. - Daniel Kirchner, Christoph Benzmüller, Edward N. Zalta:
Computer Science and Metaphysics: A Cross-Fertilization. - Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang:
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. - Therese Biedl, Ahmad Biniaz, Anna Lubiw:
Minimum Ply Covering of Points with Disks and Squares. - Ahmad Biniaz, Anil Maheshwari, Michiel H. M. Smid:
Flip Distance to some Plane Configurations. - Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Speed-up and multi-view extensions to Subclass Discriminant Analysis. - Xiaotao Feng, Qin Wang, Xiaogang Zhu, Sheng Wen:
Bug Searching in Smart Contract. - Wenhui Yu, Zheng Qin:
Spectrum-enhanced Pairwise Learning to Rank. - Riccardo De Masellis, Valentin Goranko:
Logic-based Specification and Verification of Homogeneous Dynamic Multi-agent Systems. - Zhiyi Huang, Xue Zhu:
Near Optimal Jointly Private Packing Algorithms via Dual Multiplicative Weight Update. - Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre:
On the Smoothness of Nonlinear System Identification. - Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul E. Debevec, Ravi Ramamoorthi:
Single Image Portrait Relighting. - Josemar Alves Caetano, Gabriel Magno, Marcos André Gonçalves, Jussara M. Almeida, Humberto Torres Marques-Neto, Virgílio A. F. Almeida:
Characterizing Attention Cascades in WhatsApp Groups. - Niels Dalum Hansen:
Web data mining for public health purposes. - Romeo Ortega, Bowen Yi, Kwanghee Nam, Jongwon Choi:
A globally exponentially stable position observer for interior permanent magnet synchronous motors. - Tiantian Gao:
KALM: A Rule-based Approach for Knowledge Authoring and Question Answering. 389-395 - Kirsty Aquilina, David A. W. Barton, Nathan F. Lepora:
Shear-invariant Sliding Contact Perception with a Soft Tactile Sensor. - Hadi Elzayn, Zachary Schutzman:
Price of Privacy in the Keynesian Beauty Contest. - Georgios Amanatidis, Pieter Kleer, Guido Schäfer:
Budget-Feasible Mechanism Design for Non-Monotone Submodular Objectives: Offline and Online. - Alexandr Andoni, Clifford Stein, Peilin Zhong:
Log Diameter Rounds Algorithms for 2-Vertex and 2-Edge Connectivity. - Thomas Möllenhoff, Daniel Cremers:
Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus. - Vishnu V. Narayan, Enguerrand Prebet, Adrian Vetta:
The Declining Price Anomaly is not Universal in Multi-Buyer Sequential Auctions (but almost is). - Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Parity Models: A General Framework for Coding-Based Resilience in ML Inference. - Zihang Lai, Weidi Xie:
Self-supervised Learning for Video Correspondence Flow. - Daniel W. Hook, Mark Hahnel, Christian Herzog:
The Price of Gold: Curiosity? - Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar:
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. - Ahmad Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud:
Mimic Learning to Generate a Shareable Network Intrusion Detection Model. - Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim:
Continuous Learning for Large-scale Personalized Domain Classification. - Minh Ngo, David A. Naumann, Tamara Rezk:
Typed-based Relaxed Noninterference for Free. - Jihwan Lee, Ruhi Sarikaya, Young-Bum Kim:
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding. - Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. - Fabio Pizzati, Fernando García:
Enhanced free space detection in multiple lanes based on single CNN with scene identification. - Kaiming Shen, Reza Khosravi-Farsani, Wei Yu:
Capacity Limits of Full-Duplex Cellular Network. - Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi:
Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. - Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang:
Omni-Scale Feature Learning for Person Re-Identification. - Zhongang Qi, Saeed Khorram, Fuxin Li:
Visualizing Deep Networks by Optimizing with Integrated Gradients. - Svetlin Penkov, Subramanian Ramamoorthy:
Learning Programmatically Structured Representations with Perceptor Gradients. - Sonia Castelo, Thais G. Almeida, Anas Elghafari, Aécio S. R. Santos, Kien Pham, Eduardo Freire Nakamura, Juliana Freire:
A Topic-Agnostic Approach for Identifying Fake News Pages. - Li Jun Heng, Abesh Rahman:
Designing a robust controller for a missile autopilot based on Loop shaping approach. - Fred Batty, Dmitry Kamenetsky:
Elo ratings applied to TopCoder SRM. - Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani, Subbarao Kambhampati:
A Survey of Moving Target Defenses for Network Security. - Sahand Sharifzadeh, Max Berrendorf, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. - Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou:
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices. - Morteza Banagar, Harpreet S. Dhillon:
3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network. - Leandro C. Coelho, Gilbert Laporte, Arinei Lindbeck, Thibaut Vidal:
Benchmark Instances and Branch-and-Cut Algorithm for the Hashiwokakero Puzzle. - Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer:
Collaborative Evolutionary Reinforcement Learning. - Shankai Yan, Ka-Chun Wong:
Context awareness and embedding for biomedical event extraction. - Phuong Nguyen, Vatche Ishakian, Vinod Muthusamy, Aleksander Slominski:
SUMMARIZED: Efficient Framework for Analyzing Multidimensional Process Traces under Edit-distance Constraint. - Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy:
Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction. - Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy:
Network Representation Learning: Consolidation and Renewed Bearing. - Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka:
Behavior Planning of Autonomous Cars with Social Perception. - Matthew D. Parno, Brendan A. West, Arnold J. Song, Taylor S. Hodgdon, Devin T. O'Connor:
Remote measurement of sea ice dynamics with regularized optimal transport. - José de Jesús Rubio, Ramón Silva-Ortigoza, Francisco Jacob Ávila, Adolfo Meléndez-Ramírez, Juan Manuel Stein-Carrillo:
A Fuzzy Inference System for the Identification. - Xuan Cao, Yanhao Ge, Ying Tai, Wei Zhang, Jian Li, Chengjie Wang, Jilin Li, Feiyue Huang:
Anti-Confusing: Region-Aware Network for Human Pose Estimation. - Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray:
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach. - Trung Dung Do, Xuenan Cui, Thi Hai Binh Nguyen, Hakil Kim, Van Huan Nguyen:
Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information. - Saurabh Verma, Zhi-Li Zhang:
Stability and Generalization of Graph Convolutional Neural Networks. - Jakob Pfender, Alvin C. Valera, Winston K. G. Seah:
Content Delivery Latency of Caching Strategies for Information-Centric IoT. - Trung Dung Do, Hakil Kim, Van Huan Nguyen:
Real-time and robust multiple-view gender classification using gait features in video surveillance. - Marc Khoury, Dylan Hadfield-Menell:
Adversarial Training with Voronoi Constraints. - Imad Alhousseini, Wissam Chemissany, Fatima Kleit, Aly Nasrallah:
Physicist's Journeys Through the AI World - A Topical Review. There is no royal road to unsupervised learning. - Celal Savur, Shitij Kumar, Sarthak Arora, Tuly Hazbar, Ferat Sahin:
HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems. - Dominik Breitenbacher, Ivan Homoliak, Yan Lin Aung, Nils Ole Tippenhauer, Yuval Elovici:
HADES-IoT: A Practical Host-Based Anomaly Detection System for IoT Devices (Extended Version). - Qingrui Zhang, Hugh H. T. Liu:
Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles. - Timothy M. Chan, Saladi Rahul, Jie Xue:
Range closest-pair search in higher dimensions. - Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt:
Transfer of Adversarial Robustness Between Perturbation Types. - Chaitra Niddodi, Shanny Lin, Sibin Mohan, Hao Zhu:
Secure Integration of Electric Vehicles with the Power Grid. - Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang:
Locally Differentially Private Naive Bayes Classification. - Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. - (Withdrawn) New Perfect Nonlinear Functions and Their Semifields.
- Ben D. Fulcher, Carl Henning Lubba, Sarab S. Sethi, Nick S. Jones:
CompEngine: a self-organizing, living library of time-series data. - Çaglar Aytekin, Francesco Cricri, Emre Aksu:
Compressibility Loss for Neural Network Weights. - Hanqing Xu, Yajun Zhao, Linmei Mo, Chen Huang, Baoyu Sun:
Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System. - Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick:
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach. - Pierre Laperdrix, Nataliia Bielova, Benoit Baudry, Gildas Avoine:
Browser Fingerprinting: A survey. - Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang:
Time-sync Video Tag Extraction Using Semantic Association Graph. - Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer:
Semantic Segmentation of Video Sequences with Convolutional LSTMs. - Florenz Graf, Çagatay Odabasi, Theo Jacobs, Birgit Graf, Thomas Födisch:
MobiKa - Low-Cost Mobile Robot for Human-Robot Interaction. - Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski:
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask. - Qing Lian, Wen Li, Lin Chen, Lixin Duan:
Known-class Aware Self-ensemble for Open Set Domain Adaptation. - Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer, Thomas Vogel:
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. - Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson:
Deep Residual Reinforcement Learning. - Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei:
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. - Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi G. Olumofin, Bin Yu, Anderson C. A. Nascimento, Martine De Cock:
CharBot: A Simple and Effective Method for Evading DGA Classifiers. - Marzieh Najafi, Robert Schober:
Intelligent Reflecting Surfaces for Free Space Optical Communications. - Jian Zhang, Qimei Cui, Xuefei Zhang, Kwang-Cheng Chen, Ping Zhang:
Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT. - Spyros Gidaris, Nikos Komodakis:
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning. - Samanyou Garg:
Group Emotion Recognition Using Machine Learning. - Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Hayder Al-Hraishawi, Symeon Chatzinotas:
Carrier Aggregation in Multi-Beam High Throughput Satellite Systems. - Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. - Max Bannach, Sebastian Berndt:
Positive-Instance Driven Dynamic Programming for Graph Searching. - Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. - Hashim A. Hashim, Mohammad A. Abido:
Location Management in LTE Networks using Multi-Objective Particle Swarm Optimization. - Farnaz Yousefi, Ehsan Khamespanah, Mohammed Gharib, Marjan Sirjani, Ali Movaghar:
VeriVANca: An Actor-Based Framework for Formal Verification of Warning Message Dissemination Schemes in VANETs. - Sunny Sanyal, Dapeng Wu, Boubakr Nour:
A Federated Filtering Framework for Internet of Medical Things. - Santu Sardar, Amit Kumar Mishra, Mohammed Zafar Ali Khan:
Performance Evaluation of LTE-CommSense System for Discrimination of Presence of Multiple Objects in Outdoor Environment. - Muhammad Umar Javed, Zaid Bin Tariq, Usama Muneeb, Ijaz Haider Naqvi:
Multi-level Dynamic Optimization of Intelligent LEACH with Cost Effective Deep Belief Network. - Verónica Quintuna Rodriguez, Fabrice Guillemin:
Higher aggregation of gNodeBs in Cloud-RAN architectures via parallel computing. - Wael Jaafar, Amina Mseddi, Wessam Ajib, Halima Elbiaze:
Joint Caching and Resource Allocation in D2D-Assisted Wireless HetNet. - Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints. - Shuai Yang, Wenqi Zhu, Yuesheng Zhu:
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization. - Yadong Xing, Can Zhao, Zhiheng Li, Yi Zhang, Li Li, Fei-Yue Wang, Xiao Wang, Yujing Wang, Yuelong Su, Dongpu Cao:
A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles. - Jukka Talvitie, Toni Levanen, Mike Koivisto, Tero Ihalainen, Kari Pajukoski, Mikko Valkama:
Positioning and Location-Aware Communications for Modern Railways with 5G New Radio. - Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Symeon Chatzinotas:
Precoded Cluster Hopping in Multi-Beam High Throughput Satellite Systems. - Christian Römer, Johannes Hiry, Chris Kittl, Thomas Liebig, Christian Rehtanz:
Charging control of electric vehicles using contextual bandits considering the electrical distribution grid. - Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model from a Single Natural Image. - Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
Distance Metric Learned Collaborative Representation Classifier. - Wolfgang Mulzer, Natalia Shenkman:
A Constructive Proof of a Concentration Bound for Real-Valued Random Variables. - Andrija Stajduhar, Tomislav Lipic, Goran Sedmak, Sven Loncaric, Milos Judas:
Computational analysis of laminar structure of the human cortex based on local neuron features. - Irina Kostitsyna, Maarten Löffler, Valentin Polishchuk, Frank Staals:
Most vital segment barriers. - Ciro Potena, Daniele Nardi, Alberto Pretto:
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments. - Mohsin Khalil, Farid Ullah Khan:
Exploration of TCP Parameters for Enhanced Performance in a Datacenter Environment. - Chirag Juyal, Sandeep S. Kulkarni, Sweta Kumari, Sathya Peri, Archit Somani:
An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems. - Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso:
Query-guided End-to-End Person Search. - Dongkun Zhang, Ling Guo, George E. Karniadakis:
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks. - Songxuan Lai, Lianwen Jin:
Offline Writer Identification based on the Path Signature Feature. - Manuel Pariente, Antoine Deleforge, Emmanuel Vincent:
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders. - Christopher Boyd, Radoslaw Kotaba, Olav Tirkkonen, Petar Popovski:
Non-Orthogonal Contention-Based Access for URLLC Devices with Frequency Diversity. - Ahmed A. Elsayed, Waleed A. Yousef:
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms. - Bin Liu, Zhiyong Chen, Hai-Tao Zhang, Xudong Wang, Tao Geng, Housheng Su, Jin Zhao:
Collective Dynamics and Control for Multiple Unmanned Surface Vessels. - Kathrin Hanauer, Monika Henzinger, Christian Schulz:
Fully Dynamic Single-Source Reachability in Practice: An Experimental Study. - Vibhatha Abeykoon, Geoffrey C. Fox, Minje Kim:
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. - Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder:
Seamless Scene Segmentation. - Joseph I. Choi, Dave (Jing) Tian, Grant Hernandez, Christopher Patton, Benjamin Mood, Thomas Shrimpton, Kevin R. B. Butler, Patrick Traynor:
A Hybrid Approach to Secure Function Evaluation Using SGX. - Alex F. A. Furtunato, Kyriakos Georgiou, Kerstin Eder, Samuel Xavier de Souza:
When parallel speedups hit the memory wall. - Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. - Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess:
Information asymmetry in KL-regularized RL. - Diogo Almeida, Yiannis Karayiannidis:
Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian. - Thomas Reeves, Anil Damle, Austin R. Benson:
Network interpolation. - Raphaël Clifford, Pawel Gawrychowski, Tomasz Kociumaka, Daniel P. Martin, Przemyslaw Uznanski:
RLE edit distance in near optimal time. - Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
A Relation Extraction Approach for Clinical Decision Support. - Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem:
Disentangling Factors of Variation Using Few Labels. - Diogo Almeida, Yiannis Karayiannidis:
A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution. - Abhishek K. Das, Nikhil Bhat, Sukanto Guha, Janvi Palan:
A Personalized Subreddit Recommendation Engine. - Xuehui Hu, Nishanth Sastry:
Characterising Third Party Cookie Usage in the EU after GDPR. - Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang:
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. - Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. - Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. - Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. - Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra:
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds. - Hamdi Joudeh, Bruno Clerckx:
On the Separability of Parallel MISO Broadcast Channels Under Partial CSIT: A Degrees of Freedom Region Perspective. - Jean-Marc Andreoli:
Convolution is outer product. - Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. - Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, Sergey Levine:
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings. - Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. - David Sun, Chengzheng Sun, Agustina, Weiwei Cai:
Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors. - Marc Brittain, Peng Wei:
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach. - Tao Yao, Xiangwei Kong, Lianshan Yan, Wenjing Tang, Qi Tian:
Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval. - Alejandro Díaz-Caro, Octavio Malherbe:
A categorical construction for the computational definition of vector spaces. - Nataliya Shakhovska, Uyrii Bolubash, Oleh Veres:
Big Data Model "Entity and Features". - Nataliya Shakhovska, Yurii Bolubash:
Dataspace architecture and manage its components class projection. - Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa:
MeshDepth: Disconnected Mesh-based Deep Depth Prediction. - Neil C. Rabinowitz:
Meta-learners' learning dynamics are unlike learners'. - (Withdrawn) Breaking the Bellman-Ford Shortest-Path Bound.
- Dominik Kulon, Haoyang Wang, Riza Alp Güler, Michael M. Bronstein, Stefanos Zafeiriou:
Single Image 3D Hand Reconstruction with Mesh Convolutions. - Davi Frossard, Eric Kee, Raquel Urtasun:
DeepSignals: Predicting Intent of Drivers Through Visual Signals. - Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra:
Data-efficient Learning of Morphology and Controller for a Microrobot. - Avinash Madasu, Vijjini Anvesh Rao:
Effectiveness of Self Normalizing Neural Networks for Text Classification. - Marieh Jahannia, Morteza Mohammad Noori, Narad Rampersad, Manon Stipulanti:
Palindromic Ziv-Lempel and Crochemore Factorizations of m-Bonacci Infinite Words. - Chris Dulhanty, Alexander Wong:
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets. - Nikodimos Nikolaidis, Anastasios Gounaris:
Adaptive filter ordering in Spark. - Luke Rodriguez, Bill Howe:
In Defense of Synthetic Data. - Mina Khan, Glenn Fernandes, Utkarsh Sarawgi, Prudhvi Rampey, Pattie Maes:
PAL: A Wearable Platform for Real-time, Personalized and Context-Aware Health and Cognition Support. - Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo:
Controllable Artistic Text Style Transfer via Shape-Matching GAN. - Ercüment Ilhan, Jeremy Gow, Diego Perez Liebana:
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. - Sumanta Kumar Das, Sumant Mukherjee:
Agent based decision making for Integrated Air Defense system. - Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. - Abolghasem Daeichian, Amir Haghani:
Fuzzy Q-Learning Based Multi-Agent System for Intelligent Traffic Control by a Game Theory Approach. - Julius Bañgate, Julie Dugdale, Elise Beck, Carole Adam:
A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment. - Pierre H. Richemond, Yike Guo:
Static Activation Function Normalization. - Amos Beimel, Kobbi Nissim, Mohammad Zaheri:
Exploring Differential Obliviousness. - Ian C. Covert, Balu Krishnan, Imad Najm, Jiening Zhan, Matthew Shore, John Hixson, Ming Jack Po:
Temporal Graph Convolutional Networks for Automatic Seizure Detection. - Fuhao Shi, Sung-Fang Tsai, Youyou Wang, Chia-Kai Liang:
Steadiface: Real-Time Face-Centric Stabilization on Mobile Phones. - Manojkumar Rangasamy Kannadasan, Grigor Aslanyan:
Personalized Query Auto-Completion Through a Lightweight Representation of the User Context. - Vahid Mirjalili, Sebastian Raschka, Arun Ross:
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers. - Jonah Casebeer, Michael Colomb, Paris Smaragdis:
Deep Tensor Factorization for Spatially-Aware Scene Decomposition. - Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati:
A Survey on Neural Architecture Search. - Steffen Rendle, Li Zhang, Yehuda Koren:
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems. - Kamesh Munagala, Kangning Wang:
Improved Metric Distortion for Deterministic Social Choice Rules. - Yuqi Zhang, Yu Huang, Hengfeng Wei, Jian Lu:
Remove-Win: a Design Framework for Conflict-free Replicated Data Collections. - Xiaogang Zhu, Xiaotao Feng, Tengyun Jiao, Sheng Wen, Yang Xiang, Seyit Camtepe, Jingling Xue:
A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing. - Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh:
SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training. - Duncan Eddy, Mykel J. Kochenderfer:
Satellite Image Tasking Under Orbit Prediction Uncertainty. - Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. - Yushu Chen, Hao Jing, Wenlai Zhao, Zhiqiang Liu, Liang Qiao, Wei Xue, Haohuan Fu, Guangwen Yang:
NAMSG: An Efficient Method For Training Neural Networks. - Zhihan Guo, Theodoros Rekatsinas:
Learning Functional Dependencies with Sparse Regression. - Hedyeh Beyhaghi, Robert Kleinberg:
Pandora's Problem with Nonobligatory Inspection. - Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu:
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing. - Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-labeling Graph Neural Network for Few-shot Learning. - P. S. Naga Jyotish, Yash Goel, A. V. S. Sai Bhargav Kumar, K. Madhava Krishna:
IVO: Inverse Velocity Obstacles for Real Time Navigation. - Rupei Xu, András Faragó, Jason P. Jue:
Job Edge-Fog Interconnection Network Creation Game in Internet of Things. - Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Clustering-aware Graph Construction: A Joint Learning Perspective. - Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang:
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery. - Hiroaki Inoue, Atsushi Igarashi:
A Type System for First-Class Layers with Inheritance, Subtyping, and Swapping. - Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick:
Quantitative Group Testing in the Sublinear Regime. - Jiachi Chen, Xin Xia, David Lo, John Grundy, Daniel Xiapu Luo, Ting Chen:
Domain Specific Code Smells in Smart Contracts. - Steven Kelk, Simone Linz:
New reduction rules for the tree bisection and reconnection distance. - Blikle Andrzej:
An experiment with denotational semantics. - Masakazu Sano:
Stochastic quantization with Weighted distribution in discrete time for Filtering and Control. - Blikle Andrzej:
A Denotational Engineering of Programming Languages. - Senthil Kumar Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez:
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving. - Wenjing Yan, Xiaoyan Kuai, Xiaojun Yuan:
Passive Beamforming and Information Transfer via Large Intelligent Surface. - Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani:
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. - Nikhil Bansal, Ola Svensson, Luca Trevisan:
New Notions and Constructions of Sparsification for Graphs and Hypergraphs. - Rui Portocarrero Sarmento, Luís Lemos, Mário Cordeiro, Giulio Rossetti, Douglas de O. Cardos:
DynComm R Package - Dynamic Community Detection for Evolving Networks. - Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. - Iran Ramezanipour, Hirley Alves, Pedro Henrique Juliano Nardelli, Ari Pouttu:
A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications. - David Sun, Chengzheng Sun, Agustina, Weiwei Cai:
Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications. - Chengzheng Sun, David Sun, Agustina, Weiwei Cai:
Real Differences between OT and CRDT under a General Transformation Framework for Consistency Maintenance in Co-Editors. - Abhishek Ghose, Balaraman Ravindran:
Optimal Resampling for Learning Small Models. - Ali Lenjani, Chul Min Yeum, Shirley Dyke, Ilias Bilionis:
Automated Building Image Extraction from 360-degree Panoramas for Post-Disaster Evaluation. - Mahsa Derakhshan, Negin Golrezaei, Renato Paes Leme:
LP-based Approximation for Personalized Reserve Prices. - Georgios S. Paschos, Apostolos Destounis, George Iosifidis:
Learning to Cooperate in D2D Caching Networks. - Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal:
Hierarchical Policy Learning is Sensitive to Goal Space Design. - Luciano Caroprese, Ester Zumpano:
A Logic Framework for P2P Deductive Databases. - Pan Li, Alexander Tuzhilin:
Latent Unexpected and Useful Recommendation. - Tyler Chen:
Predict-and-recompute conjugate gradient variants. - Elham Shaabani, Ashkan Sadeghi-Mobarakeh, Hamidreza Alvari, Paulo Shakarian:
An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter. - Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Deep Multi-Sensor Lane Detection. - Elham Shaabani, Ruocheng Guo, Paulo Shakarian:
Detecting Pathogenic Social Media Accounts without Content or Network Structure. - Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, Belén Masiá:
A Similarity Measure for Material Appearance. - Yasumasa Onoe, Greg Durrett:
Learning to Denoise Distantly-Labeled Data for Entity Typing. - Qi Wang, Junyu Gao, Yuan Yuan:
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling. - Qi Wang, Junyu Gao, Yuan Yuan:
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection. - Lin F. Yang, Chengzhuo Ni, Mengdi Wang:
Learning to Control in Metric Space with Optimal Regret. - Yuan Yuan, Zhitong Xiong, Qi Wang:
VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection. - Faen Zhang, Xinyu Fan, Guo Ai, Jianfei Song, Yongqiang Qin, Jiahong Wu:
Accurate Face Detection for High Performance. - Mostafa Ghobadi:
Stability Control of Walking Biped Robots based on Total Momentum. - Hoang NT, Choong Jun Jin, Tsuyoshi Murata:
Learning Graph Neural Networks with Noisy Labels. - Erfan Ghorbani, Venus Pasandi, Mehdi Keshmiri, Mostafa Ghobadi:
Stabilization of Bipedal Robot Motion based on Total Momentum. - Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. - Donghui Yan, Yingjie Wang, Jin Wang, Guodong Wu, Honggang Wang:
Fast communication-efficient spectral clustering over distributed data. - Dan Wu, Bin Wang:
A Holomorphic Embedding Based Continuation Method for Identifying Multiple Power Flow Solutions. - Siham Khoussi, Ayoub Nouri, Junxiao Shi, James Filliben, Lotfi Benmohamed, Abdella Battou, Saddek Bensalem:
Performance evaluation of a NDN forwarder using statistical model checking. - Yikang Li, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang:
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph. - Farhana Sultana, Abu Sufian, Paramartha Dutta:
A Review of Object Detection Models based on Convolutional Neural Network. - Alireza Javaheri, Navid Moghadamnejad, Hamidreza Keshavarz, Ehsan Javaheri, Chelsea Dobbins, Elaheh Momeni, Reza Rawassizadeh:
Public vs Media Opinion on Robots. - Gaoyang Li, Jinyu Yang, Chunguo Wu, Qin Ma:
Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization. - Lingyu Tan, Daoyi Dong, Dewei Li, Shibei Xue:
Quantum Hamiltonian Identification with Classical Colored Measurement Noise. - Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, David B. Lobell, Marshall Burke, Stefano Ermon:
Predicting Economic Development using Geolocated Wikipedia Articles. - Mohammadreza Doostmohammadian, Usman A. Khan:
On the Controllability of Clustered Scale-Free Networks. - Jiachen Li, Hengbo Ma, Masayoshi Tomizuka:
Conditional Generative Neural System for Probabilistic Trajectory Prediction. - Qi Wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong:
Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size. - Chengze Wang, Yuan Yuan, Qi Wang:
Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles. - Kai Li Lim, Thomas Bräunl:
A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications. - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Video Inpainting. - Ismail Balaban, Fatih Acun, Onur Yigit Arpali, Furkan Murat, Numan Ertugrul Babaroglu, Emre Akci, Mehmet Çulcu, Mümtaz Özkan, Selim Temizer:
Development of a Forecasting and Warning System on the Ecological Life-Cycle of Sunn Pest. - Minjie Hua, Fuyuan Shi, Yibing Nan, Kai Wang, Hao Chen, Shiguo Lian:
Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System. - Artur Czumaj, Hendrik Fichtenberger, Pan Peng, Christian Sohler:
Testable Properties in General Graphs and Random Order Streaming. - Gijs Wijnholds, Mehrnoosh Sadrzadeh:
A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction. - Simón Algorta, Özgür Simsek:
The Game of Tetris in Machine Learning. - Chengxiao Liu, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Cost-Effective Hybrid Satellite-Terrestrial Networks: Optimal Beamforming with Nonlinear PA and Imperfect CSIT. - Umair Mohammad, Sameh Sorour:
Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning. - Karim Amer, Mohamed Samy, Mahmoud Shaker, Mohamed ElHelw:
Deep Convolutional Neural Network-Based Autonomous Drone Navigation. - Mohamed Samy, Karim Amer, Mahmoud Shaker, Mohamed ElHelw:
Drone Path-Following in GPS-Denied Environments using Convolutional Networks. - Chao Peng, Ajitha Rajan:
SIF: A Framework for Solidity Code Instrumentation and Analysis. - Qi Wang, Zhenghang Yuan, Qian Du, Xuelong Li:
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled Ben Letaief:
Towards Big data processing in IoT: network management for online edge data processing. - Vasilios A. Siris, Dimitrios Dimopoulos, Nikos Fotiou, Spyros Voulgaris, George C. Polyzos:
OAuth 2.0 meets Blockchain for Authorization in Constrained IoT Environments. - Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. - Xiang Yan, Wei Zhu:
A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange. - Vasilios A. Siris, Dimitrios Dimopoulos, Nikos Fotiou, Spyros Voulgaris, George C. Polyzos:
Interledger Smart Contracts for Decentralized Authorization to Constrained Things. - Hanzhou Wu, Xinpeng Zhang:
Game-theoretic Analysis to Content-adaptive Reversible Watermarking. - Chaojie Gu, Rui Tan, Jun Huang:
Secure Data Timestamping in Synchronization-Free LoRaWAN. - Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or:
Learning Character-Agnostic Motion for Motion Retargeting in 2D. - Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Deep Discriminative Clustering Analysis. - Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira, Jonas Mårtensson, Bo Wahlberg:
Path Planning for Autonomous Bus Driving in Urban Environments. - Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. - Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira:
New Item Consumption Prediction Using Deep Learning. - Markus Hecher:
Answer Set Solving exploiting Treewidth and its Limits. - Hugo Sica de Andrade, Ivica Crnkovic:
A Review on Software Architectures for Heterogeneous Platforms. - Omolbanin Yazdanbakhsh, Scott Dick:
Multivariate Time Series Classification using Dilated Convolutional Neural Network. - Philippe Casgrain:
A Latent Variational Framework for Stochastic Optimization. - Seyed Mohammad Azimi-Abarghouyi, Masoumeh Nasiri-Kenari, Mérouane Debbah:
Stochastic Design and Analysis of Wireless Cloud Caching Networks. - Felipe Soares, Martin Krallinger:
BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts. - Hao Wu, Raj Rao Nadakuditi:
Free Component Analysis: Theory, Algorithms & Applications. - Felipe Soares, Gabrielli Harumi Yamashita, Michel Jose Anzanello:
A Parallel Corpus of Theses and Dissertations Abstracts. - Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. - Huy Tu, Tim Menzies:
Enhanced Labeling of Issue Reports (with F3T). - (Withdrawn) Intra-clip Aggregation for Video Person Re-identification.
- Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. - Gangan Prathap, Loet Leydesdorff:
Impact factors, Within-Journal Self-citations, and the Pinski-Narin Influence Weights: An analysis using both subfields and the complete Journal Citation Reports 2017. - Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples. - Luca Viganò:
Explaining Cybersecurity with Films and the Arts (Extended Abstract). - Marcus M. Scheunemann, Christoph Salge, Kerstin Dautenhahn:
Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots. - Makarius Wenzel:
Interaction with Formal Mathematical Documents in Isabelle/PIDE. - Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko:
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. - Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang:
Towards Instance-level Image-to-Image Translation. - Oren Mangoubi, Nisheeth K. Vishnoi:
Faster algorithms for polytope rounding, sampling, and volume computation via a sublinear "Ball Walk". - MohammadTaghi Hajiaghayi, Silvio Lattanzi, Saeed Seddighin, Cliff Stein:
MapReduce Meets Fine-Grained Complexity: MapReduce Algorithms for APSP, Matrix Multiplication, 3-SUM, and Beyond. - (Withdrawn) Efficient Inter-Datacenter Bulk Transfers with Mixed Completion Time Objectives.
- Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia:
Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution. - Matthew A. Bliss, Nicolò Michelusi:
Online Trajectory Optimization for Rotary-Wing UAVs in Wireless Networks. - Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola:
P3O: Policy-on Policy-off Policy Optimization. - Harshith Padigela, Hamed Zamani, W. Bruce Croft:
Investigating the Successes and Failures of BERT for Passage Re-Ranking. - Amol Kapoor, Hunter Larco, Raimondas Kiveris:
Nostalgin: Extracting 3D City Models from Historical Image Data. - H. Akin Ünver:
Internet, Social Media and Conflict Studies Can Greater Interdisciplinarity Solve the Analytical Deadlocks in Cybersecurity Research? - Siqing Shan, Yingwei Jia, Jichang Zhao:
Same Influenza, Different Responses: Social Media Can Sense a Regional Spectrum of Symptoms. - Bo Liu:
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge. - Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Differentiable Architecture Search with Ensemble Gumbel-Softmax. - Yiwu Yao, Weiqiang Yang, Haoqi Zhu:
Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices. - Mingzhou Liu, Xiaoyi He, Weiyao Lin, Xintong Han, Yanmin Zhu, Hongtao Lu, Hongkai Xiong:
A multimodal lossless coding method for skeletons in videos. - Zhaoxiang Liu, Huan Hu, Jinqiang Bai, Shaohua Li, Shiguo Lian:
Fine-grained Attention-based Video Face Recognition. - Chih-Hao Wang, Sosuke Kato, Tetsuya Sakai:
RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models. - Eric Bax:
Computing a Data Dividend. - Ruigang Wang, Roland Tóth, Ian R. Manchester:
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. - Xia Wu, Wei Lu, Xiwang Cao, Ming Chen:
Two constructions of asymptotically optimal codebooks via the trace functions. - Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei:
Extracting human emotions at different places based on facial expressions and spatial clustering analysis. - Akanksha Agrawal, Pradeesha Ashok, Meghana M. Reddy, Saket Saurabh, Dolly Yadav:
FPT Algorithms for Conflict-free Coloring of Graphs and Chromatic Terrain Guarding. - Pawan Kumar Patel, Amey Karkare:
Accessibility Evaluation of Computer Based Tests. - Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain. - Mingyuan Wu, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang:
Characterizing and Detecting CUDA Program Bugs. - Marco Buongiorno Nardelli:
Topology of Networks in Generalized Musical Spaces. - Xi Zheng:
Real-Time Simulation in Real-Time Systems: Current Status, Research Challenges and A Way Forward. - Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian:
P-ODN: Prototype based Open Deep Network for Open Set Recognition. - Felipe Soares, Viviane Pereira Moreira, Karin Becker:
A Large Parallel Corpus of Full-Text Scientific Articles. - Felipe Soares, Karin Becker:
UFRGS Participation on the WMT Biomedical Translation Shared Task. - Jiliang Zhang, Wuqiao Chen, Yuqi Niu:
DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning. - Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. - Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. - Vincent Beffara, Cong Bang Huynh, Benjamin Lévêque:
Scaling limits for random triangulations on the torus. - Aris Filos-Ratsikas, Evi Micha, Alexandros A. Voudouris:
The distortion of distributed voting. - Leandro Soares Indrusiak, Robert I. Davis, Piotr Dziurzanski:
Evolutionary Optimisation of Real-Time Systems and Networks. - Yifu Chen, Arnaud Dapogny, Matthieu Cord:
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. - Gemma Boleda:
Distributional Semantics and Linguistic Theory. - Szu-Wei Fu, Chien-Feng Liao, Yu Tsao:
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality. - Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck:
Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation. - Jie Xing, Zheren Li, Biyuan Wang, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets. - Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. - Justin Cheng, Moira Burke, Elena Goetz Davis:
Understanding Perceptions of Problematic Facebook Use: When People Experience Negative Life Impact and a Lack of Control. - Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser, René Schallner:
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing. - Sen-Zhe Xu, Hao-Zhi Huang, Shi-Min Hu, Wei Liu:
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing. - Ranveer Singh, Cheng Zheng, Naomi Shaked-Monderer, Abraham Berman:
Nonsingular (Vertex-Weighted) Block Graphs. - Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert:
Fast and Reliable Architecture Selection for Convolutional Neural Networks. - Huang Xie, Tuomas Virtanen:
Zero-Shot Audio Classification Based on Class Label Embeddings. - Tommi Oinonen, Tri Quach, Antti Karjalainen:
Continuous and Resource Managed Regression Testing: An Industrial Use Case. - Xiangwei Shi, Seyran Khademi, Jan C. van Gemert:
Deep Visual City Recognition Visualization. - Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz:
Few-shot Adaptive Gaze Estimation. - Anna Tietze, Serge Galam, Philip Hofmann:
Crediting multi-authored papers to single authors. - Amina Asif, Fayyaz ul Amir Afsar Minhas:
An embarrassingly simple approach to neural multiple instance classification. - Jorgen F. Erichsen, Heikki Sjöman, Martin Steinert, Torgeir Welo:
Digitally Capturing Physical Prototypes During Early-Stage Product Development Projects for Analysis. - Titouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès:
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding. - Rohollah Soltani, Alexandre Tomberg:
Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy. - Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song:
Relation Discovery with Out-of-Relation Knowledge Base as Supervision. - Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh:
The Methods to Improve Quality of Service by Accounting Secure Parameters. - Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak:
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. - Mehdi Drissi, Pedro Sandoval Segura, Vivaswat Ojha, Julie Medero:
Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector. - Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. - Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. - Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh, Mahmoud Al-Ayyoub:
Arabic Text Diacritization Using Deep Neural Networks. - Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour:
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models. - Ranjan Satapathy, Aalind Singh, Erik Cambria:
PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. - Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, Jason Weston:
Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers. - Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong:
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. - Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. - Béranger Dumont, Simona Maggio, Ghiles Sidi Said, Quoc-Tien Au:
Who wrote this book? A challenge for e-commerce. - Dong Cao, Dongdong Zhang, Haibo Chen:
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method. - Freek Boutkan, Jorn Ranzijn, David Rau, Eelco van der Wel:
Point-less: More Abstractive Summarization with Pointer-Generator Networks. - Md. Akmal Haidar, Mehdi Rezagholizadeh:
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks. - Yacine Jernite, Kavya Srinet, Jonathan Gray, Arthur Szlam:
CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant. - Qiuyun Zhang, Bin Guo, Hao Wang, Yunji Liang, Shaoyang Hao, Zhiwen Yu:
AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions. - Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Beyond Personalization: Research Directions in Multistakeholder Recommendation. - (Withdrawn) Disease Identification From Unstructured User Input.
- Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu, Ka Lok Man, Xin Huang:
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying. - Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi:
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. - Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim:
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. - Sudipto Mukherjee, Ke Jiang:
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation. - Oluwatobi Olabiyi, Anish Khazane, Alan Salimov, Erik T. Mueller:
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model. - Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen:
Review-Driven Answer Generation for Product-Related Questions in E-Commerce. - Lin Li, Mengjing Zhang, Zhaohui Chao, Jianwen Xiang:
Using Context Information to Enhance Simple Question Answering. - Maulik Parmar, V. Susheela Devi:
Neural Machine Translation with Recurrent Highway Networks. - Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. - Oluwatobi O. Olabiyi, Anish Khazane, Erik T. Mueller:
A Persona-based Multi-turn Conversation Model in an Adversarial Learning Framework. - Ferhat Özgür Çatak, Ahmet Faruk Yazi:
A Benchmark API Call Dataset for Windows PE Malware Classification. - (Withdrawn) Ideal Tightly Couple (t, m, n) Secret Sharing.
- Alexander Zap, Tobias Joppen, Johannes Fürnkranz:
Deep Ordinal Reinforcement Learning. - Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually-aware Recommendation with Aesthetic Features. - Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Errata Note: Discovering Order Dependencies through Order Compatibility. - Heguang Liu:
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System. - Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus D. McDonald-Maier:
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level. - Junao Wu, Arek Mikolajczak, James Cheney:
TryLinks: An interactive tutorial system for a cross-tier Web programming language. - Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. - Yusuke Shinyama, Yoshitaka Arahori, Katsuhiko Gondow:
Analyzing Code Comments to Boost Program Comprehension. - Stefan Fehrenbach, James Cheney:
Language-integrated provenance by trace analysis. - Philipp Müller, Andreas Bulling:
Emergent Leadership Detection Across Datasets. - Jefferson de Barros Santos, Bruno Lopes Vieira, Edward Hermann Haeusler:
Revisiting Counter-model Generation for Minimal Implicational Logic. - Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner:
ConfigCrusher: White-Box Performance Analysis for Configurable Systems. - Sang-Sub Kim, Rolf Klein, David Kübel, Elmar Langetepe, Barbara Schwarzwald:
Geometric Firefighting in the Half-plane. - Wilmer Ricciotti, James Cheney:
Mixing set and bag semantics. - Kenneth D. Harris:
Characterizing the invariances of learning algorithms using category theory. - Issam W. Damaj:
Programmable Logic Arrays. - Issam W. Damaj:
Logic Design. - Issam W. Damaj:
High-level Synthesis. - Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. - Xingyuan Zhang, Fuhai Zhang:
Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder. - Neville Grech, George Fourtounis, Adrian Francalanza, Yannis Smaragdakis:
Heaps Don't Lie: Countering Unsoundness with Heap Snapshots. - Xiao Wang, Ziliang Chen, Rui Yang, Bin Luo, Jin Tang:
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity. - Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié:
Localizing Adverts in Outdoor Scenes. - George Gunter, Derek Gloudemans, Raphael E. Stern, Sean T. McQuade, Rahul Bhadani, Matt Bunting, Maria Laura Delle Monache, Roman Lysecky, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work:
Are commercially implemented adaptive cruise control systems string stable? - Daniel Riley, Christopher D. Jones:
Multi-threaded Output in CMS using ROOT. - Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan:
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking. - Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel:
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget. - Ilkyoo Choi, François Dross, Pascal Ochem:
Partitioning sparse graphs into an independent set and a graph with bounded size components. - Naveen Garg, Anupam Gupta, Amit Kumar, Sahil Singla:
Non-clairvoyant Precedence Constrained Scheduling. - Alessandro Epasto, Bryan Perozzi:
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts. - Sérgio Queiroz de Medeiros, Gilney de Azevedo Alvez Junior, Fabio Mascarenhas:
A Semi-Automatic Approach for Syntax Error Reporting and Recovery in Parsing Expression Grammars. - David Durfee, Yu Gao, Anup B. Rao, Sebastian Wild:
Efficient Second-Order Shape-Constrained Function Fitting. - Xinying Wang, Abdullah Al-Mamun, Feng Yan, Mohammad Sadoghi, Dongfang Zhao:
BlockLite: A Lightweight Emulator for Public Blockchains. - Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard:
Parsl: Pervasive Parallel Programming in Python. - Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor:
Batch Normalization is a Cause of Adversarial Vulnerability. - Amber van der Heijden, Luca Allodi:
Cognitive Triaging of Phishing Attacks. - Lena Gorelick, Olga Veksler:
Simulating CRF with CNN for CNN. - Alexander Elkholy, Fangkai Yang, Steven Gustafson:
Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform. - Kurt Degiorgio, Fabio Cuzzolin:
Spatio-Temporal Action Localization in a Weakly Supervised Setting. - Baturalp Buyukates, Alkan Soysal, Sennur Ulukus:
Age of Information Scaling in Large Networks with Hierarchical Cooperation. - Michal Yemini, Andrea J. Goldsmith:
Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding. - Takuhiro Kaneko, Tatsuya Harada:
Label-Noise Robust Multi-Domain Image-to-Image Translation. - Jacob K. Rosenstein, Christopher Rose, Sherief Reda, Peter M. Weber, Eunsuk Kim, Jason Sello, Joseph Geiser, Eamonn Kennedy, Christopher E. Arcadia, Amanda Dombroski, Kady Oakley, Shui Ling Chen, Hokchhay Tann, Brenda M. Rubenstein:
Principles of Information Storage in Small-Molecule Mixtures. - Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin:
CARAFE: Content-Aware ReAssembly of FEatures. - Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. - Mohammadreza Khajeh-Hosseini, Alireza Talebpour:
Back to the Future: Predicting Traffic Shockwave Formation and Propagation Using a Convolutional Encoder-Decoder Network. - Ingrid Daubechies, Ronald A. DeVore, Simon Foucart, Boris Hanin, Guergana Petrova:
Nonlinear Approximation and (Deep) ReLU Networks. - Yuhao Kang, Song Gao, Robert E. Roth:
Transferring Multiscale Map Styles Using Generative Adversarial Networks. - Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen:
Lessons from Real-World Reinforcement Learning in a Customer Support Bot. - Gabriela Félix Solano, Ricardo Diniz Caldas, Genaína Nunes Rodrigues, Thomas Vogel, Patrizio Pelliccione:
Taming Uncertainty in the Assurance Process of Self-Adaptive Systems: a Goal-Oriented Approach. - Mikhail G. Mozerov, Fei Yang, Joost van de Weijer:
Sparse data interpolation using the geodesic distance affinity space. - Loïc Michel:
Online tuning of artificial neural networks using para-model algorithm - A preliminary study. - Ammar Abbas, Andrew Zisserman:
A Geometric Approach to Obtain a Bird's Eye View from an Image. - Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images. - Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze:
FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping. - Atul Kr. Ojha:
English-Bhojpuri SMT System: Insights from the Karaka Model. - Pramod S. Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James Gonzalo King, Michael L. Hines, Felix Schürmann:
An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language. - Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam:
Searching for MobileNetV3. - Mohammad Jafar Mashhadi, Taha R. Siddiqui, Hadi Hemmati, Howard W. Loewen:
Interactive Semi-automated Specification Mining for Debugging: An Experience Report. - Xiaoliang Chen, Baojia Li, Roberto Proietti, Hongbo Lu, Zuqing Zhu, S. J. Ben Yoo:
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks. - David Berthelot, Nicholas Carlini, Ian J. Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel:
MixMatch: A Holistic Approach to Semi-Supervised Learning. - Salvatore D'Oro, Francesco Restuccia, Tommaso Melodia:
Hiding Data in Plain Sight: Undetectable Wireless Communications Through Pseudo-Noise Asymmetric Shift Keying. - Xiufeng Yang, Ying Chen, Longlong Chang, Ariel A. Calderón, Néstor Osvaldo Pérez-Arancibia:
Bee+: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators. - Yuriy V. Pershin, Massimiliano Di Ventra:
Comment on "If it's pinched it's a memristor" by L. Chua [Semicond. Sci. Technol 29, 104001 (2014)]. - Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Toward Human-Like Summaries Generated from Heterogeneous Software Artefacts. - Michael Albright, Scott McCloskey:
Source Generator Attribution via Inversion. - Yang-Hui He, Minhyong Kim:
Learning Algebraic Structures: Preliminary Investigations. - Xusen Yin, Jonathan May:
Comprehensible Context-driven Text Game Playing. - Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. - Ray Li, Mary Wootters:
Lifted Multiplicity Codes. - Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar:
Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? - Taha Hassan:
On bias in social reviews of university courses. - Siyi Yang, Ahmed H. Hareedy, A. Robert Calderbank, Lara Dolecek:
Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage. - Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, Anthony Upton:
Caveats in Generating Medical Imaging Labels from Radiology Reports. - Niels Ole Salscheider:
Simultaneous Object Detection and Semantic Segmentation. - Mark-Oliver Stehr, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky, Akos Vertes:
Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data. - Jimuyang Zhang, Sanping Zhou, Jinjun Wang, Dong Huang:
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking. - Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro:
Are Graph Neural Networks Miscalibrated? - Giulia Bernardini, Pawel Gawrychowski, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
Even Faster Elastic-Degenerate String Matching via Fast Matrix Multiplication. - Alexander Feldman, Johan de Kleer, Ion Matei:
Design Space Exploration as Quantified Satisfaction. - Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis:
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. - Zongchen Chen, Santosh S. Vempala:
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions. - Hugo Raguet, Loïc Landrieu:
Parallel Cut Pursuit For Minimization of the Graph Total Variation. - Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao:
Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network. - Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu:
Spatially Constrained Generative Adversarial Networks for Conditional Image Generation. - Timothy M. Chan, Yakov Nekrich, Michiel H. M. Smid:
Orthogonal Range Reporting and Rectangle Stabbing for Fat Rectangles. - Abdollah Kavousi-Fard, Boyu Wang, Omid Avatefipour, Morteza Dabbaghjamanesh, Ramin Sahba, Amin Sahba:
Superconducting Fault Current Limiter Allocation in Reconfigurable Smart Grids. - Priyank Jaini, Kira A. Selby, Yaoliang Yu:
Sum-of-Squares Polynomial Flow. - (Withdrawn) Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval.
- Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. - Nick Feamster, Jason Livingood:
Internet Speed Measurement: Current Challenges and Future Recommendations. - Konpal Shaukat Ali, Mohamed-Slim Alouini, Ekram Hossain, Md. Jahangir Hossain:
On Clustering and Channel Disparity in Non-Orthogonal Multiple Access (NOMA). - Yang Jiang, Cong Zhao, Lei Pang:
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS. - Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad, Ping Koy Lam, Omid Kavehei:
Machine Learning Cryptanalysis of a Quantum Random Number Generator. - Saghir Ahmed Saghir Alfasly, Yongjian Hu, Tiancai Liang, Xiaofeng Jin, Qingli Zhao, Beibei Liu:
Variational Representation Learning for Vehicle Re-Identification. - Leonardo Muñoz, Oscar Avila:
Business and Information Technology Alignment Measurement - a recent Literature Review. - Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. - Leonardo Muñoz, Oscar Avila:
A model to assess customer alignment through customer experience concepts - Preprint version. - John Kallaugher, Eric Price:
Exponential Separations Between Turnstile Streaming and Linear Sketching. - Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. - Seungyul Han, Youngchul Sung:
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning. - (Withdrawn) What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?
- Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou:
Adversarially Robust Submodular Maximization under Knapsack Constraints. - Muye Li, Shun Zhang, Nan Zhao, Weile Zhang, Xianbin Wang:
Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration. - Sumit Kumar Tetarave, Somanath Tripathy, R. K. Ghosh:
Enhancing Quality of Experience using DHT Overlay on Device-to-Device Communications in LTE-A Networks. - Jinshuo Dong, Aaron Roth, Weijie J. Su:
Gaussian Differential Privacy. - Guoyao Feng, Srinivasan Seshan, Peter Steenkiste:
PARI: A Probabilistic Approach to AS Relationships Inference. - Rita Ibrahim, Mohamad Assaad, Berna Sayraç:
A Dynamic and Incentive Policy for Selecting D2D Mobile Relays. - Sanket Partani, Andreas Weinand, Hans D. Schotten:
A Controller for Network-Assisted CACC based Platooning. - Sukarna Barua, Sarah Monazam Erfani, James Bailey:
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. - Zitong Yu, Xiaobai Li, Guoying Zhao:
Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks. - Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, Longin Jan Latecki:
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation. - Marcin Mucha, Jesper Nederlof, Jakub Pawlewicz, Karol Wegrzycki:
Equal-Subset-Sum Faster Than the Meet-in-the-Middle. - Ran Wei, Tim P. Kelly, Xiaotian Dai, Shuai Zhao, Richard Hawkins:
Model Based System Assurance Using the Structured Assurance Case Metamodel. - Tobias Kaminski:
Integrated Algorithms for HEX-Programs and Applications in Machine Learning. - Iva Gornishka, Stevan Rudinac, Marcel Worring:
Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings. - Jianchen Zhu, Shengjie Zhao, Qingjiang Shi, Gonzalo R. Arce:
Greedy Signal Space Recovery Algorithm with Overcomplete Dictionaries in Compressive Sensing. - George A. Constantinides:
Rethinking Arithmetic for Deep Neural Networks. - Sho Maeoki, Kohei Uehara, Tatsuya Harada:
Interactive Video Retrieval with Dialog. - Faiza Samreen, Gordon S. Blair, Yehia Elkhatib:
Transferable Knowledge for Low-cost Decision Making in Cloud Environments. - Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MASS: Masked Sequence to Sequence Pre-training for Language Generation. - Sergiy Bogomolov, Marcelo Forets, Goran Frehse, Kostiantyn Potomkin, Christian Schilling:
Reachability analysis of linear hybrid systems via block decomposition. - Chao Li, Dongliang He, Xiao Liu, Yukang Ding, Shilei Wen:
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution. - Isaac Dunn, Tom Melham, Daniel Kroening:
Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Authorship analysis of specialized vs diversified research output. - Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Robust two-stage combinatorial optimization problems under convex uncertainty. - Chen Avin, Ingo van Duijn, Stefan Schmid:
Self-Adjusting Linear Networks. - Gianluca Maguolo, Loris Nanni, Stefano Ghidoni:
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions. - Marcel Walter, Robert Wille, Frank Sill Torres, Daniel Große, Rolf Drechsler:
fiction: An Open Source Framework for the Design of Field-coupled Nanocomputing Circuits. - Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
P2SGrad: Refined Gradients for Optimizing Deep Face Models. - Gaopeng Jian:
Two classes of linear codes and their generalized Hamming weights. - Srikanth Tamilselvam, Naveen Panwar, Shreya Khare, Rahul Aralikatte, Anush Sankaran, Senthil Mani:
A Visual Programming Paradigm for Abstract Deep Learning Model Development. - Zhangyu Chen, Yu Hua, Pengfei Zuo, Yuanyuan Sun, Yuncheng Guo:
Efficient Similarity-aware Compression to Reduce Bit-writes in Non-Volatile Main Memory for Image-based Applications. - Qi Wang, Xiang He, Xuelong Li:
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification. - Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals:
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. - Christos Liaskos, Ageliki Tsioliaridou, Shuai Nie, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
An Interpretable Neural Network for Configuring Programmable Wireless Environments. - Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak:
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement. - Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon:
Learning to Interpret Satellite Images in Global Scale Using Wikipedia. - Christopher Zach, Virginia Estellers:
Contrastive Learning for Lifted Networks. - Peter A. Brooksbank, Joshua A. Grochow, Yinan Li, Youming Qiao, James B. Wilson:
Incorporating Weisfeiler-Leman into algorithms for group isomorphism. - Gabriel Radanne, Thomas Gazagnaire, Anil Madhavapeddy, Jeremy Yallop, Richard Mortier, Hannes Mehnert, Mindy Preston, David J. Scott:
Programming Unikernels in the Large via Functor Driven Development. - Byung-Hak Kim:
Deep Learning to Predict Student Outcomes. - Xinshuo Weng, Kris Kitani:
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading. - Mohsen Annabestani, Alireza Rowhanimanesh, Aylar Mizani, Akram Rezaei:
Descriptive evaluation of students using fuzzy approximate reasoning. - Bo Sun, Philippos Mordohai:
Oriented Point Sampling for Plane Detection in Unorganized Point Clouds. - Derong Xie, Jinquan Luo:
Correcting Codes for Asymmetric Single Magnitude Four Error. - Omer Ben-Porat, Moshe Tennenholtz:
Regression Equilibrium. - Henan Zhao, Jian Chen:
Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics Data. - Diogo M. Costa, Luís M. S. Russo, Rui Henriques, Hideo Bannai, Alexandre P. Francisco:
Order-Preserving Pattern Matching Indeterminate Strings. - Michael Elkin, Arnold Filtser, Ofer Neiman:
Distributed Construction of Light Networks. - Martin Monperrus:
Explainable Software Bot Contributions: Case Study of Automated Bug Fixes. - Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang:
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care. - Stanislav Dashevskyi, Yury Zhauniarovich, Olga Gadyatskaya, Aleksandr Pilgun, Hamza Ouhssain:
Dissecting Android Cryptocurrency Miners. - Wen Dong, Bo Liu, Fan Yang:
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. - Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao:
PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms. - Luz Angela Aristizabal Quintero, Nicolás Toro García:
Reduction of Monitoring Register on Software Defined Networks. - Chunxu Zhang, Jiaxu Cui, Bo Yang:
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. - Sakshi Mishra, Praveen Palanisamy:
An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning. - Brigitte Pientka, David Thibodeau, Andreas Abel, Francisco Ferreira, Rébecca Zucchini:
A Type Theory for Defining Logics and Proofs. - John Iacono, Ben Karsin, Grigorios Koumoutsos:
External Memory Planar Point Location with Fast Updates. - Nataliya Shakhovska, Taras Cherna:
The method of automatic summarization from different sources. - Stéphane Bessy, François Dross, Katarína Hrináková, Martin Knor, Riste Skrekovski:
The structure of graphs with given number of blocks and the maximum Wiener index. - Sai Vemprala, Srikanth Saripalli:
Collaborative Localization for Micro Aerial Vehicles. - Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang:
High Frequency Residual Learning for Multi-Scale Image Classification. - Stéphane Lathuilière, Enver Sangineto, Aliaksandr Siarohin, Nicu Sebe:
Attention-based Fusion for Multi-source Human Image Generation. - Artyom Y. Sorokin, Mikhail S. Burtsev:
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory. - Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. - Armel Jacques Nzekon Nzeko'o, Maurice Tchuenté, Matthieu Latapy:
A general graph-based framework for top-N recommendation using content, temporal and trust information. - Alessio Caminata, Elisa Gorla:
The complexity of MinRank. - Dominic Liao-McPherson, Marco M. Nicotra, Ilya V. Kolmanovsky:
A Semismooth Predictor Corrector Method for Suboptimal Model Predictive Control. - Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan:
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. - Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous Open-Ended Learning of Interdependent Tasks. - Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker:
Learned human-agent decision-making, communication and joint action in a virtual reality environment. - Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. - John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangeability in Reinforcement Learning: Extended Abstract. - Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. - Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert:
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. - Manish Raghavan, Manish Purohit, Sreenivas Gollapudi:
Hiring Under Uncertainty. - Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo:
Context-Aware Automatic Occlusion Removal. - Emmi Bevensee, Alexander Reid Ross:
The Alt-Right and Global Information Warfare. - Julien Gamba, Mohammed Rashed, Abbas Razaghpanah, Juan Tapiador, Narseo Vallina-Rodriguez:
An Analysis of Pre-installed Android Software. - Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks. - Masanari Kimura, Masayuki Tanaka:
Intentional Attention Mask Transformation for Robust CNN Classification. - Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image. - Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan, Matthew Johnson-Roberson:
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery. - Litu Rout, Yatharath Bhateja, Ankur Garg, Indranil Mishra, S. Manthira Moorthi, Debajyoti Dhar:
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. - Vincent A. Cicirello:
Kendall Tau Sequence Distance: Extending Kendall Tau from Ranks to Sequences. - Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connection between Tracklets for Unconstrained Video-based Face Recognition. - Kevin Fritz, Daniel König, Ulrich Klauck, Michael Teutsch:
Generalization ability of region proposal networks for multispectral person detection. - Christopher Boyd, Roope Vehkalahti, Olav Tirkkonen, Antti Laaksonen:
Code Design Principles for Ultra-Reliable Random Access with Preassigned Patterns. - Tianshu Sun, Sean J. Taylor:
Displaying Things in Common to Encourage Friendship Formation: A Large Randomized Field Experiment. - Jiamin Wei, Yangquan Chen, Yongguang Yu, Yuquan Chen:
Optimal Randomness in Swarm-based Search. - Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura:
Uncertainty-Aware Data Aggregation for Deep Imitation Learning. - Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger:
Robust Dense Mapping for Large-Scale Dynamic Environments. - Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. - Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen:
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. - Roy Schwartz, Mohit Singh, Sina Yazdanbod:
Online and Offline Greedy Algorithms for Routing with Switching Costs. - Dmitry Pekurovsky:
P3DFFT: a framework for parallel computations of Fourier transforms in three dimensions. - Bernhard Haeupler, David Wajc, Goran Zuzic:
Network Coding Gaps for Completion Times of Multiple Unicasts. - Christopher J. Mendez, Lara Letaw, Margaret Burnett, Simone Stumpf, Anita Sarma, Claudia Hilderbrand:
From GenderMag to InclusiveMag: An Inclusive Design Meta-Method. - Zoe Steine-Hanson, Claudia Hilderbrand, Lara Letaw, Jillian Emard, Christopher Perdriau, Christopher J. Mendez, Margaret Burnett, Anita Sarma:
Fixing Inclusivity Bugs for Information Processing Styles and Learning Styles. - Guanghan Ning, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. - Stephen Bottos, Balakumar Balasingam:
Tracking the Progression of Reading Through Eye-gaze Measurements. - Emma Tosch, Kaleigh Clary, John Foley, David D. Jensen:
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning. - Akhil A. Dixit, Phokion G. Kolaitis:
A SAT-based System for Consistent Query Answering. - Deepan Muthirayan, Pramod P. Khargonekar:
Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. - Ezio Bartocci, Laura Kovács, Miroslav Stankovic:
Automatic Generation of Moment-Based Invariants for Prob-Solvable Loops. - Patrick Trentin, Roberto Sebastiani:
Optimization Modulo the Theories of Signed Bit-Vectors and Floating-Point Numbers. - Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli, Ludovica Marinucci, Andrea Giovanni Nuzzolese, Valentina Presutti, Chiara Veninata:
ArCo: the Italian Cultural Heritage Knowledge Graph. - (Withdrawn) Accelerated Target Updates for Q-learning.
- Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki:
FANTrack: 3D Multi-Object Tracking with Feature Association Network. - Chi-Kit Lam, C. Gregory Plaxton:
On the Existence of Three-Dimensional Stable Matchings with Cyclic Preferences. - Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley:
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. - Victor Zakhary, Divyakant Agrawal, Amr El Abbadi:
Atomic Commitment Across Blockchains. - Mingfei Gao, Ashish Tawari, Sujitha Martin:
Goal-oriented Object Importance Estimation in On-road Driving Videos. - Boris Knyazev, Graham W. Taylor, Mohamed R. Amer:
Understanding attention in graph neural networks. - Wataru Sakata, Tomohide Shibata, Ribeka Tanaka, Sadao Kurohashi:
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance. - Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang:
Learning Cascaded Siamese Networks for High Performance Visual Tracking. - Ali Dehghan:
On the semi-proper orientations of graphs. - Sagar Indurkhya:
Automatic Inference of Minimalist Grammars using an SMT-Solver. - Alejandro Cohen, Derya Malak, Vered Bar Bracha, Muriel Médard:
Adaptive Causal Network Coding with Feedback for Delay and Throughput Guarantees. - Jianming Huang, Yu Hua, Pengfei Zuo, Wen Zhou, Fangting Huang:
SAWL: A Self-adaptive Wear-leveling NVM Scheme for High Performance Storage Systems. - Xiaojun Hu, Ronald Rousseau, Sandra Rousseau:
Does Environmental Economics lead to patentable research? - Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael M. Bronstein, Stefanos Zafeiriou:
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. - Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang:
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. - Yifan Ding, Chuan Wang, Haibin Huang, Jiaming Liu, Jue Wang, Liqiang Wang:
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference. - Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy:
Deep Flow-Guided Video Inpainting. - Michal Yemini, Andrea J. Goldsmith:
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Cellular System Capacity. - Sudip Mittal, Anupam Joshi, Tim Finin:
Cyber-All-Intel: An AI for Security related Threat Intelligence. - Yu Luo, Beth Plale:
Pilot evaluation of Collection API with PID Kernel Information. - Jun Wu, Weiming Wang, Xifeng Gao:
Design and Optimization of Conforming Lattice Structures. - Nikolai Dokuchaev:
On recoverability of finite traces of square-summable sequences. - Jaehwan Lee, Donggeon Yoo, Jung Yin Huh, Hyo-Eun Kim:
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. - Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar:
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. - Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. - Dung Tien Pham, Thai Van Nguyen, Hai Xuan Le, Linh Nguyen, Nguyen Huu Thai, Tuan Anh Phan, Hai Tuan Pham, Anh Hoai Duong:
Adaptive neural network based dynamic surface control for uncertain dual arm robots. - Sakib Mahmud Khan, Mashrur Chowdhury, Linh Bao Ngo, Amy W. Apon:
Multi-class Twitter Data Categorization and Geocoding with a Novel Computing Framework. - Panos Achlioptas, Judy Fan, Robert X. D. Hawkins, Noah D. Goodman, Leonidas J. Guibas:
ShapeGlot: Learning Language for Shape Differentiation. - Yunyou Huang, Zhifei Zhang, Nana Wang, Nengquan Li, Mengjia Du, Tianshu Hao, Jianfeng Zhan:
A new direction to promote the implementation of artificial intelligence in natural clinical settings. - Yufei Han, Xiangliang Zhang:
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances. - Soujanya Poria, Navonil Majumder, Rada Mihalcea, Eduard H. Hovy:
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances. - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. - Mouhamed Abdulla, Zohreh Motamedi, Amjed Majeed:
Redesigning Telecommunication Engineering Courses with CDIO geared for Polytechnic Education. - Zhiqiang Wei, Min Qiu, Derrick Wing Kwan Ng, Jinhong Yuan:
A Two-Stage Beam Alignment Framework for Hybrid MmWave Distributed Antenna Systems. - Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang:
SAdam: A Variant of Adam for Strongly Convex Functions. - Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung:
Generalized Dilation Neural Networks. - Liang Sun, Bing Li, Chunfeng Yuan, Zhengjun Zha, Weiming Hu:
Multimodal Semantic Attention Network for Video Captioning. - Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. - Enrique Manjavacas, Brian Long, Mike Kestemont:
On the Feasibility of Automated Detection of Allusive Text Reuse. - Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll:
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. - Yijun Yuan, Letong Wang, Sören Schwertfeger:
Configuration-Space Flipper Planning for Rescue Robots. - Laurence Brandenberger, Giona Casiraghi, Vahan Nanumyan, Frank Schweitzer:
Quantifying Triadic Closure in Multi-Edge Social Networks. - Mohamed A. Abd-Elmagid, Aidin Ferdowsi, Harpreet S. Dhillon, Walid Saad:
Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks. - Martin Schuessler, Philipp Weiß:
Minimalistic Explanations: Capturing the Essence of Decisions. - Daniel Sánchez, Marc Oliu, Meysam Madadi, Xavier Baró, Sergio Escalera:
Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation. - Moritz Lichter, Ilia Ponomarenko, Pascal Schweitzer:
Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm. - Klaus-Tycho Foerster, Janne H. Korhonen, Joel Rybicki, Stefan Schmid:
Brief Announcement: Does Preprocessing Help under Congestion? - Ehsan Nekouei, Mikael Skoglund, Karl Henrik Johansson:
An Entropy Power Inequality for Discrete Random Variables. - Michal Król, Alberto Sonnino, Mustafa Al-Bassam, Argyrios G. Tasiopoulos, Ioannis Psaras:
Proof-of-Prestige: A Useful Work Reward System for Unverifiable Tasks. - Magnus Gedda:
Algorithms for Grey-Weighted Distance Computations. - Saeed Afrasiabi Gorgani, Gerhard Wunder:
The Method of Conditional Expectations for Cubic Metric Reduction in OFDM. - Xingbo Dong, Zhe Jin, Andrew Teoh Beng Jin:
A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics. - Panagiotis Kouzouglidis, Giorgos Sfikas, Christophoros Nikou:
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks. - Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. - Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg:
Meta-learning of Sequential Strategies. - Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu:
Applications of Social Media in Hydroinformatics: A Survey. - Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi:
Adaptive image-feature learning for disease classification using inductive graph networks. - Sanaz Bahargam, Theodoros Lappas, Evimaria Terzi:
The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm. - Zbigniew Lonc, Miroslaw Truszczynski:
Maximin share allocations on cycles. - Fei Ma, Ding Wang, Ping Wang, Bing Yao:
Handshake between Fibonacci series and pure preferential attachment mechanism on a graph-model. - Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Mining Subjectively Interesting Attributed Subgraphs. - Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin:
Tag2Vec: Learning Tag Representations in Tag Networks. - Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis:
Rumour Detection via News Propagation Dynamics and User Representation Learning. - Francesco Pierri, Carlo Piccardi, Stefano Ceri:
Topology comparison of Twitter diffusion networks reliably reveals disinformation news. - Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley:
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification. - Vince Kurtz, Hai Lin:
Bayesian Optimization for Polynomial Time Probabilistically Complete STL Trajectory Synthesis. - Shen-Huan Lv, Liang Yang, Zhi-Hua Zhou:
Forest Representation Learning Guided by Margin Distribution. - Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. - Md Rushdie Ibne Islam, Amit Shaw:
Numerical Modelling of Crack Initiation, Propagation and Branching under Dynamic Loading. - Nataliya Shakhovska, Oleh Veres, Mariia Hirnyak:
Generalized formal model of big data. - Manuel Herzog, Klaus Dietmayer:
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution. - Oded Goldreich:
Testing Bipartitness in an Augmented VDF Bounded-Degree Graph Model. - Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation. - Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black:
Capture, Learning, and Synthesis of 3D Speaking Styles. - Shadrokh Samavi, Pejman Khadivi:
Fault-Tolerant Routing in Hypercube Networks by Avoiding Faulty Nodes. - Mariem Hmila, Manuel Fernández-Veiga, Miguel Rodríguez-Pérez, Sergio Herrería-Alonso:
Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications. - Mohammad Riyaz Belgaum, Safeeullah Soomro, Zainab Alansari, Muhammad Alam:
Cloud Service ranking using Checkpoint based Load balancing in real time scheduling of Cloud Computing. - Mohammad Riyaz Belgaum, Safeeullah Soomro, Zainab Alansari, Shahrulniza Musa, Muhammad Alam, Mazliham Mohd Su'ud:
Load Balancing with preemptive and non-preemptive task scheduling in Cloud Computing. - Bob Briscoe:
Managing a Queue to a Soft Delay Target. - Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova:
Time series classification based on fractal properties. - Per Rutquist:
Unsupervised Learning through Temporal Smoothing and Entropy Maximization. - Henry Howard-Jenkins, Shuda Li, Victor Prisacariu:
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts. - Jeff Yan:
From Sicilian mafia to Chinese "scam villages". - Xiong Zheng, Vijay K. Garg:
Parallel and Distributed Algorithms for the housing allocation Problem. - Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen:
Locality-Sensitive Sketching for Resilient Network Flow Monitoring. - Rostislav I. Grigorchuk, Dima Grigoriev:
Key-agreement based on automaton groups. - Nadav Merlis, Shie Mannor:
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. - Xiaorui Zhu, Youngshik Kim, Mark A. Minor:
Cooperative Distributed Robust Control of Modular Mobile Robots with Bounded Curvature and Velocity. - Chunxin Qiu, Xiaorui Zhu, Xiaobing Zhao:
Vision-based Unscented FastSLAM for Mobile Robot. - Xiaorui Zhu, Chunxin Qiu, Mark A. Minor:
Terrain Inclination Aided Three Dimensional Localization and Mapping for an Outdoor Mobile Robot. - Guilherme de C. M. Gomes, Ignasi Sau:
Finding cuts of bounded degree: complexity, FPT and exact algorithms, and kernelization. - Dominik Ernst, Georg Hager, Jonas Thies, Gerhard Wellein:
Performance Engineering for a Tall & Skinny Matrix Multiplication Kernel on GPUs. - Jan Rüth, Konrad Wolsing, Martin Serror, Klaus Wehrle, Oliver Hohlfeld:
Blitz-starting QUIC Connections. - Zhongyuan Hau, John Henry Castellanos, Jianying Zhou:
Evaluating Cascading Effects of Attacks on Resilience of Industrial Control Systems: A Design-Centric Modeling Approach. - Laszlo B. Kish, Walter Daugherity:
Entanglement, and unsorted database search in noise-based logic. - (Withdrawn) Convolutional Neural Network for Intrusion Detection System In Cyber Physical Systems.
- Ti-Yen Lan, Tamir Bendory, Nicolas Boumal, Amit Singer:
Multi-target Detection with an Arbitrary Spacing Distribution. - Shashank Rajput, Zhili Feng, Zachary Charles, Po-Ling Loh, Dimitris S. Papailiopoulos:
Does Data Augmentation Lead to Positive Margin? - Rahul Shome, Kostas E. Bekris:
Anytime Multi-arm Task and Motion Planning for Pick-and-Place of Individual Objects via Handoffs. - Kiril Dichev, Dimitrios S. Nikolopoulos:
Implementing Efficient Message Logging Protocols as MPI Application Extensions. - Yuchen Xiao, Ruzhe Zhong:
A hybrid recommendation algorithm based on weighted stochastic block model. - Abbas Yazdinejad, Reza M. Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Blockchain-enabled Authentication Handover with Efficient Privacy Protection in SDN-based 5G Networks. - Katrin Casel, Philipp Fischbeck, Tobias Friedrich, Andreas Göbel, J. A. Gregor Lagodzinski:
Zeros and approximations of Holant polynomials on the complex plane. - Patrick Lühne:
Discovering and Proving Invariants in Answer Set Programming and Planning. - Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. - Bilel Benjdira, Yakoub Bazi, Anis Koubaa, Kaïs Ouni:
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images. - Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler:
Efficient On-line Computation of Visibility Graphs. - Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James E. East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher:
Endoscopy artifact detection (EAD 2019) challenge dataset. - Darii Kordiyak, Nataliya Shakhovska:
Analytical review of medical mobile diagnostic systems. - Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. - Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy:
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. - Yu Li, Hu Wang, Wenquan Shuai, Honghao Zhang, Yong Peng:
Image-based reconstruction for strong-nonlinear transient problems by using an enhanced ReConNN. - Matteo Papini, Matteo Pirotta, Marcello Restelli:
Smoothing Policies and Safe Policy Gradients. - Ahmed Arafa, Karim Banawan, Karim G. Seddik, H. Vincent Poor:
On Timely Channel Coding with Hybrid ARQ. - Huadong Liao, Jiawei He, Kunxian Shu:
Generative Model with Dynamic Linear Flow. - Majd Latah:
The Art of Social Bots: A Review and a Refined Taxonomy. - Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis:
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction. - Yichao Zhou, Haozhi Qi, Yi Ma:
End-to-End Wireframe Parsing. - Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst, Damien Kelly, Michael Krainin, Chia-Kai Liang, Marc Levoy, Peyman Milanfar:
Handheld Multi-Frame Super-Resolution. - David N. Levin:
On the representation of speech and music. - Shideh Rezaeifar, Behrooz Razeghi, Olga Taran, Taras Holotyak, Slava Voloshynovskiy:
Reconstruction of Privacy-Sensitive Data from Protected Templates. - Farhana Sultana, Abu Sufian, Paramartha Dutta:
Advancements in Image Classification using Convolutional Neural Network. - Mohammad Salehi, Ekram Hossain:
On Coverage Probability in Uplink NOMA With Instantaneous Signal Power-Based User Ranking. - Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney:
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. - Paulo E. Pinto Burke, Luciano da F. Costa:
Interdisciplinary Relationships Between Biological and Physical Sciences. - Orazio Giustolisi, Luca Ridolfi, Antonietta Simone:
Embedding vertex intrinsic relevance in network analysis: the case of Betweenness. - Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri:
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. - Yue Wang, Justin M. Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. - Hieu Le, Bento Collares Gonçalves, Dimitris Samaras, Heather J. Lynch:
Weakly Labeling the Antarctic: The Penguin Colony Case. - Daniela Huppenkothen, Brian McFee, Laura Norén:
Entrofy Your Cohort: A Data Science Approach to Candidate Selection. - Bo Huang, Chee Yap:
An Algorithmic Approach to Limit Cycles of Nonlinear Differential Systems: the Averaging Method Revisited. - Xiao Lin, Indranil Sur, Samuel A. Nastase, Ajay Divakaran, Uri Hasson, Mohamed R. Amer:
Data-Efficient Mutual Information Neural Estimator. - Moritz Schubotz, Olaf Teschke, Vincent Stange, Norman Meuschke, Bela Gipp:
Forms of Plagiarism in Digital Mathematical Libraries. - Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. - Ilya Kavalerov, Scott Wisdom, Hakan Erdogan, Brian Patton, Kevin W. Wilson, Jonathan Le Roux, John R. Hershey:
Universal Sound Separation. - Yunhan Jia, Yantao Lu, Senem Velipasalar, Zhenyu Zhong, Tao Wei:
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction. - Da Shen, Yuliya Lierler:
SMT-based Constraint Answer Set Solver EZSMT+. - Xiaorui Zhu, Wenwu Zeng, Zexiang Li, Chunyang Zheng:
A New Hybrid Control Architecture to Attenuate Large Horizontal Wind Disturbance for a Small-Scale Unmanned Helicopter. - Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Regression from Dependent Observations. - Bin Yang, Lin Yang, Xiaochun Li, Wenhan Zhang, Hua Zhou, Yequn Zhang, Yongxiong Ren, Yinbo Shi:
2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval. - Harald Steck:
Embarrassingly Shallow Autoencoders for Sparse Data. - Diptapriyo Majumdar, M. S. Ramanujan, Saket Saurabh:
On the Approximate Compressibility of Connected Vertex Cover. - Jiong Zhang, Hsiang-Fu Yu, Inderjit S. Dhillon:
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks. - Jan Schuchardt, Vladimir Golkov, Daniel Cremers:
Learning to Evolve. - Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa:
A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification. - Qi Cai, Tsung-Ching Lin, Yuanxin Wu, Wenxian Yu, Trieu-Kien Truong:
General Method for Prime-point Cyclic Convolution over the Real Field. - Vivek K. Singh, Connor Hofenbitzer:
Fairness across Network Positions in Cyberbullying Detection Algorithms. - Hai-Ying Ma, Xiao Jia, Ning Cai, Jianxiang Xi:
Adaptive Guaranteed-Performance Consensus Control for Multiagent Systems With an Adjustable Convergence Speed. - Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel E. Hurtado:
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. - Zihan Li, Matthias Fresacher, Jonathan Scarlett:
Learning Erdős-Rényi Random Graphs via Edge Detecting Queries. - Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. - Sang-ik An, Dongheui Lee:
Prioritized Inverse Kinematics: Nonsmoothness, Trajectory Existence, Task Convergence, Stability. - (Withdrawn) Deep Learning Acceleration Techniques for Real Time Mobile Vision Applications.
- Shuo Feng, Yiheng Feng, Chunhui Yu, Yi Zhang, Henry X. Liu:
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology. - Muhammad Bilal, Mohib Ullah:
A deep learning approach for analyzing the composition of chemometric data. - Kazuya Kakizaki, Kosuke Yoshida:
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems. - Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales:
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. - Jiaxin Pei, Aixin Sun, Chenliang Li:
Targeted Sentiment Analysis: A Data-Driven Categorization. - Abhinav Nellore, Austin Nguyen, Reid F. Thompson:
A multidimensional analog to the Burrows-Wheeler transform. - Luiz F. O. Moura Santos, Hugo T. Yoshida Yoshizaki, Claudio Barbieri da Cunha:
Variable Neighborhood Search for the Bin Packing Problem with Compatible Categories. - Shuo Feng, Yiheng Feng, Haowei Sun, Shao Bao, Aditi Misra, Yi Zhang, Henry X. Liu:
Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies. - Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks. - Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang:
MAP Inference via L2-Sphere Linear Program Reformulation. - Haofeng Li, Guanbin Li, Yizhou Yu:
ROSA: Robust Salient Object Detection against Adversarial Attacks. - Isaac Grosof, Ziv Scully, Mor Harchol-Balter:
Load Balancing Guardrails: Keeping Your Heavy Traffic on the Road to Low Response Times. - Yong Zeng, Xiaoli Xu:
Path Design for Cellular-Connected UAV with Reinforcement Learning. - Muralikrishnan Srinivasan, Athira Subhash, Sheetal Kalyani:
Joint power and resource allocation of D2D communication with low-resolution ADC. - Chao Huang, Boyuan Li, Masako Kishida:
Model predictive approach to integrated path planning and tracking for autonomous vehicles. - Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung:
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection. - Eviatar Bach:
parasweep: A template-based utility for generating, dispatching, and post-processing of parameter sweeps. - Di Zhao, Jiqiang Liu, Jialin Wang, Wenjia Niu, Endong Tong, Tong Chen, Gang Li:
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack. - Qiang Wu, Zhaoyang Yan:
Solo citations, duet citations, and prelude citations: New measures of the disruption of academic papers. - Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. - Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information. - Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei:
Grand Challenge of 106-Point Facial Landmark Localization. - Matthias Held, Theresa Velden:
How to interpret algorithmically constructed topical structures of research specialties? A case study comparing an internal and an external mapping of the topical structure of invasion biology. - Shiva Nejati, Khouloud Gaaloul, Claudio Menghi, Lionel C. Briand, Stephen Foster, David Wolfe:
Evaluating Model Testing and Model Checking for Finding Requirements Violations in Simulink Models. - Sakshi Agarwal, Lav R. Varshney:
Limits of Deepfake Detection: A Robust Estimation Viewpoint. - Xinyu You, Xuanjie Li, Yuedong Xu, Hui Feng, Jin Zhao:
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning. - Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. - Xiaoqin Zhang, Yunfei Li, Huimin Ma, Xiong Luo:
Pretrain Soft Q-Learning with Imperfect Demonstrations. - Karen Bodie, Maximilian Brunner, Michael Pantic, Stefan Walser, Patrick Pfändler, Ueli Angst, Roland Siegwart, Juan I. Nieto:
An Omnidirectional Aerial Manipulation Platform for Contact-Based Inspection. - Salam Hamdan, Amjad Hudaib, Arafat Awajan:
Detecting Sybil Attacks in Vehicular Ad Hoc Networks. - Lara Muñoz, César Díaz, Marta Orduna, José Ignacio Ronda, Pablo Pérez, Ignacio Benito, Narciso García:
Methodology for accurately assessing the quality perceived by users on 360VR contents. - Chris Einar San Agustin:
Mitigating Deep Learning Vulnerabilities from Adversarial Examples Attack in the Cybersecurity Domain. - Erik Sy, Tobias Mueller, Christian Burkert, Hannes Federrath, Mathias Fischer:
Enhanced Performance and Privacy for TLS over TCP Fast Open. - Liying Li, Chungang Yang, Mbazingwa Elirehema Mkiramweni, Lei Pang:
Intelligent Scheduling and Power Control for Multimedia Transmission in 5G CoMP Systems: A Dynamic Bargaining Game. - Lorenz Hübschle-Schneider, Peter Sanders:
Linear Work Generation of R-MAT Graphs. - (Withdrawn) Fog-Aided Device to Device Networks with Opportunistic Content Delivery.
- Filipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço, Penousal Machado:
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection. - Zhaoxia Yin, Yuan Ji, Bin Luo:
Reversible Data Hiding in JPEG Images with Multi-objective Optimization. - Léo Exibard, Emmanuel Filiot, Pierre-Alain Reynier:
Synthesis of Data Word Transducers. - Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Embedding Human Knowledge in Deep Neural Network via Attention Map. - Weimin Tan, Bo Yan, Chuming Lin, Xuejing Niu:
Cycle-IR: Deep Cyclic Image Retargeting. - Léo Exibard, Emmanuel Filiot, Ismaël Jecker:
The Complexity of Transducer Synthesis from Multi-Sequential Specifications. - Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. - Juan M. Romero-Jerez, Francisco Javier López-Martínez, Juan P. Peña-Martin, Ali Abdi:
Stochastic Fading Channel Models with Multiple Dominant Specular Components for 5G and Beyond. - Lamiaa A. Elrefaei, Bshaer Azan, Sameera Hakami, Safiah Melebari:
Jcave: A 3D Interactive Game to Assist Home Physiotherapy Rehabilitation. - Nikolaos Alexopoulos, Emmanouil Vasilomanolakis, Stéphane Le Roux, Steven Rowe, Max Mühlhäuser:
TRIDEnT: Building Decentralized Incentives for Collaborative Security. - Wen-Shuai Hu, Heng-Chao Li, Lei Pan, Wei Li, Ran Tao, Qian Du:
Feature Extraction and Classification Based on Spatial-Spectral ConvLSTM Neural Network for Hyperspectral Images. - Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox:
Learning Representations for Predicting Future Activities. - Cornelius Schubert, Andreas Kolb:
Designing technology, developing theory. Towards a symmetrical approach. - Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of Multifractal Properties of Additive Data Stream. - Igor Ivanisenko, Tamara Radivilova:
The multifractal load balancing method. - Milad Aghajohari, Guy Avni, Thomas A. Henzinger:
Determinacy in Discrete-Bidding Infinite-Duration Games. - Fayez Lahoud, Sabine Süsstrunk:
Fast and Efficient Zero-Learning Image Fusion. - Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez:
AI Enabling Technologies: A Survey. - Jirateep Tantisuwankul, Yusuf Sulistyo Nugroho, Raula Gaikovina Kula, Hideaki Hata, Arnon Rungsawang, Pattara Leelaprute, Kenichi Matsumoto:
A Topological Analysis of Communication Channels for Knowledge Sharing in Contemporary GitHub Projects. - Vamoua Yachongka, Hideki Yagi:
Fundamental Limits of Identification System With Secret Binding Under Noisy Enrollment. - Giuseppe Franzè, Massimiliano Mattei, Luciano Ollio, Valerio Scordamaglia:
HAPD aircraft Uncertain Norm-Bounded Mathematical model. - Mark Braverman, Cristobal Rojas, Jonathan Schneider:
Space-bounded Church-Turing thesis and computational tractability of closed systems. - Sungjae Cho, Jaeseo Lim, Chris Hickey, Jung Ae Park, Byoung-Tak Zhang:
Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models. - Yuan Cao, Yonglin Cao, Hai Q. Dinh, Songsak Sriboonchitta, Guidong Wang:
Explicit representation for a class of Type 2 constacyclic codes over the ring F22[u]/〈u2λ〉 with even length. - Ayush Jaiswal, Rex Yue Wu, Wael AbdAlmageed, Premkumar Natarajan:
Unified Adversarial Invariance. - Eva-Maria C. Hols, Stefan Kratsch, Astrid Pieterse:
Elimination Distances, Blocking Sets, and Kernels for Vertex Cover. - Jirí Málek, Zbynek Koldovský, Marek Bohác:
Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates. - Jan Kotera, Denys Rozumnyi, Filip Sroubek, Jiri Matas:
Intra-frame Object Tracking by Deblatting. - Magali Bardet, Manon Bertin, Alain Couvreur, Ayoub Otmani:
Practical Algebraic Attack on DAGS. - Hugo Caracalla, Axel Roebel:
Sound texture synthesis using convolutional neural networks. - Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He:
Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. - Karsten Roth, Tomasz K. Konopczynski, Jürgen Hesser:
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function. - Kit Kuksenok, Nina Praß:
Transparency in Maintenance of Recruitment Chatbots. - André G. C. Pacheco:
Multiplicação de matrizes: uma comparação entre as abordagens sequencial (CPU) e paralela (GPU). - André G. C. Pacheco:
Classificação de espécies de peixe utilizando redes neurais convolucional. - Hans L. Bodlaender, Lars Jaffke, Jan Arne Telle:
Typical Sequences Revisited - Algorithms for Linear Orderings of Series Parallel Digraphs. - Kai Fieger, Tomás Balyo, Christian Schulz, Dominik Schreiber:
Finding Optimal Longest Paths by Dynamic Programming in Parallel. - Shuai Yang, Wenjing Wang, Jiaying Liu:
TE141K: Artistic Text Benchmark for Text Effects Transfer. - Andreas Teucke, Marco Voigt, Christoph Weidenbach:
On the Expressivity and Applicability of Model Representation Formalisms. - Baojian Zhou, Feng Chen, Yiming Ying:
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. - Jason Ramapuram, Russ Webb:
Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. - Rafael Rodrigues da Silva, Vince Kurtz, Hai Lin:
Active Perception and Control from Temporal Logic Specifications. - Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer:
S4L: Self-Supervised Semi-Supervised Learning. - Jintao Zhang:
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution. - Xingyu Chen, Brandon Fain, Charles Lyu, Kamesh Munagala:
Proportionally Fair Clustering. - Ruben Tolosana, Rubén Vera-Rodríguez, Richard M. Guest, Julian Fiérrez, Javier Ortega-Garcia:
Exploiting Complexity in Pen- and Touch-based Signature Biometrics. - Donggeun Yoo, In So Kweon:
Learning Loss for Active Learning. - Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-view 3D Reconstruction Networks Learn? - Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu:
Adversarial Defense Framework for Graph Neural Network. - Olly Styles, Arun Ross, Victor Sanchez:
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. - Colin Wei, Tengyu Ma:
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation. - (Withdrawn) Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection - An Analysis on CIC-AWS-2018 dataset.
- Wei Yan, Yiting Shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li:
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds. - Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun:
Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function. - Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu:
Supervised Online Hashing via Hadamard Codebook Learning. - Wei Ding, KwangSoo Yang, Kwang Woo Nam:
Measuring similarity between geo-tagged videos using largest common view. - Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision. - Jorgen F. Erichsen, Sampsa Kohtala, Martin Steinert, Torgeir Welo:
On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects. - (Withdrawn) Inferring the Importance of Product Appearance: A Step Towards the Screenless Revolution.
- Helala AlShehri, Muhammad Hussain, Hatim A. Aboalsamh, Qazi Emad-ul-Haq, Aqil M. Azmi:
Alignment-Free Cross-Sensor Fingerprint Matching based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor. - John Mwangi Wandeto, Birgitta Dresp-Langley:
Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection. - Stephan J. Garbin, Yiru Shen, Immo Schuetz, Robert Cavin, Gregory Hughes, Sachin S. Talathi:
OpenEDS: Open Eye Dataset. - Luisa F. Polanía, Satyajit Gupte:
Learning fashion compatibility across apparel categories for outfit recommendation. - Yuenan Hou:
Agnostic Lane Detection. - Tao Wang, Anup Basu:
A note on 'A fully parallel 3D thinning algorithm and its applications'. - Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. - Schalk Wilhelm Pienaar, Reza Malekian:
Human Activity Recognition Using Visual Object Detection. - Javad Ghofrani, Robert Kirschne, Daniel Rossburg, Dirk Reichelt, Tom Dimter:
Machine Vision in the Context of Robotics: A Systematic Literature Review. - Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer T. Chayes, Yoshua Bengio:
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. - Lijun Yan, Jun-Bao Li, Xiaorui Zhu, Jeng-Shyang Pan, Lin-Lin Tang:
Bilinear discriminant feature line analysis for image feature extraction. - Angelos Katharopoulos, François Fleuret:
Processing Megapixel Images with Deep Attention-Sampling Models. - Kin Ng:
Tuned Inception V3 for Recognizing States of Cooking Ingredients. - Yiwu Yao, Yuhua Cheng:
Fully Parallel Architecture for Semi-global Stereo Matching with Refined Rank Method. - Yanhao Wang, Yuchen Li, Kian-Lee Tan:
Coresets for Minimum Enclosing Balls over Sliding Windows. - Jochen Stüber, Marek Sewer Kopicki, Claudio Zito:
Feature-Based Transfer Learning for Robotic Push Manipulation. - Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi:
Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. - Luca Mossina, Emmanuel Rachelson, Daniel Delahaye:
A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem. - Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah:
Interactive Image Generation Using Scene Graphs. - David J. Greaves:
Research Note: An Open Source Bluespec Compiler. - Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath:
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox. - Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. - Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. - Ashkan Khakzar, Shadi Albarqouni, Nassir Navab:
Learning Interpretable Features via Adversarially Robust Optimization. - Hu Fu, Christopher Liaw, Sikander Randhawa:
The Vickrey Auction with a Single Duplicate Bidder Approximates the Optimal Revenue. - Daniel S. Park, Jascha Sohl-Dickstein, Quoc V. Le, Samuel L. Smith:
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study. - Weilin Li, Wenjing Liao, Albert Fannjiang:
Super-resolution limit of the ESPRIT algorithm. - Huu Du Nguyen, Kim Phuc Tran, Xianyi Zeng, Ludovic Koehl, Guillaume Tartare:
Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach. - Andrew W. Stephan, Steven J. Koester:
Convolutional Neural Networks Utilizing Multifunctional Spin-Hall MTJ Neurons. - José Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra:
When Deep Learning Met Code Search. - Max Simchowitz, Kevin G. Jamieson:
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs. - David Hubbard, Benoit Rostykus, Yves Raimond, Tony Jebara:
Beta Survival Models. - Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu:
Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss. - Afshin Taghavi Nasrabadi, Aliehsan Samiei, Anahita Mahzari, Mylène C. Q. Farias, Marcelo M. Carvalho, Ryan P. McMahan, Ravi Prakash:
A Taxonomy and Dataset for 360° Videos. - Aonan Zhang, John W. Paisley:
Random Function Priors for Correlation Modeling. - Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. - Keran Li, Wenyuan Liao:
An Efficient and high accuracy finite-difference scheme for the acoustic wave equation in 3D heterogeneous media. - Guy Avni, Thomas A. Henzinger, Dorde Zikelic:
Bidding Mechanisms in Graph Games. - Mohamed Aturban, Michael L. Nelson, Michele C. Weigle, Martin Klein, Herbert Van de Sompel:
Collecting 16K archived web pages from 17 public web archives. - Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy:
Exploring the Hyperparameter Landscape of Adversarial Robustness. - Graham Cormode, Pavel Veselý:
Tight Lower Bound for Comparison-Based Quantile Summaries. - Juan Leni, John Levine, John Quigley:
Solving zero-sum extensive-form games with arbitrary payoff uncertainty models. - Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Demo Abstract: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. - Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang:
Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis. - El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault:
SGD: Decentralized Byzantine Resilience. - Bashima Islam, Yubo Luo, Shahriar Nirjon:
Zygarde: Time-Sensitive On-Device Deep Intelligence on Intermittently-Powered Systems. - Laura Giordano, Valentina Gliozzi:
A reconstruction of the multipreference closure. - Songyuan Li, Jiwei Huang, Bo Cheng, Lizhen Cui, Yuliang Shi:
FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints. - Om Thakkar, Galen Andrew, H. Brendan McMahan:
Differentially Private Learning with Adaptive Clipping. - Danish Sattar, Ashraf Matrawy:
DSAF: Dynamic Slice Allocation Framework for 5G Core Network. - Juuso Haavisto, Muhammad Arif, Lauri Lovén, Teemu Leppänen, Jukka Riekki:
Open-source RANs in practice: an over-the-air deployment for 5G MEC. - Isaac C. Sheff, Xinwen Wang, Haobin Ni, Robbert van Renesse, Andrew C. Myers:
Charlotte: Composable Authenticated Distributed Data Structures, Technical Report. - Simon F. G. Ehlers:
Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms. - Agata Mosinska, Mateusz Kozinski, Pascal Fua:
Joint Segmentation and Path Classification of Curvilinear Structures. - Chris M. Ward, Josh Harguess, Cameron Hilton:
Ship classification from overhead imagery using synthetic data and domain adaptation. - Yannick Hold-Geoffroy, Akshaya Athawale, Jean-François Lalonde:
Deep Sky Modeling for Single Image Outdoor Lighting Estimation. - Philip Feldman, Aaron Dant, Aaron Massey:
Integrating Artificial Intelligence into Weapon Systems. - Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
On Unlimited Sampling and Reconstruction. - Chaobing Zheng, Shiqian Wu, Wangming Xu, Shoulie Xie:
Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition. - Kanrun Huang, Tucker Hermans:
Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization. - Xin Yang, Wenbo Hu, Dawei Wang, Lijing Zhao, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu:
DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering. - Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma:
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation. - Yanting Ma, Cynthia Rush, Dror Baron:
Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors. - Li Lei, Kai Cong, Zhenkun Yang, Bo Chen, Fei Xie:
Hardware/Software Co-monitoring. - Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer:
On the Inevitability of Online Echo Chambers. - Hong Peng, Jiazhou Chen, Haiyan Wang, Yu Hu, Hongmin Cai:
Integrating Tensor Similarity to Enhance Clustering Performance. - Yang Feng, Lin Ma, Wei Liu, Jiebo Luo:
Spatio-temporal Video Re-localization by Warp LSTM. - Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Second Order Value Iteration in Reinforcement Learning. - Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Xianfu Chen:
GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing. - Arnav Dhamija:
Disruption Tolerant Networks for Underwater Communications. - Zehua Guo, Wendi Feng, Sen Liu, Wenchao Jiang, Yang Xu, Zhi-Li Zhang:
RetroFlow: Maintaining Control Resiliency and Flow Programmability for Software-Defined WANs. - Nikolay Dubina, Dasom Kang, Alex Suh:
Credit Scoring for Micro-Loans. - (Withdrawn) Dynamic Verification with Observational Equivalence of C/C++ Concurrency.
- Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko:
Priority-based Parameter Propagation for Distributed DNN Training. - Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai:
Memory-Attended Recurrent Network for Video Captioning. - Parantapa Sawant, Adrian Bürger, Minh Dang Doan, Clemens Felsmann, Jens Pfafferott:
Development and Experimental Evaluation of Grey-Box Models for Application in Model Predictive Control of a Microscale Polygeneration System. - Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Preeti Kaur, Rajiv Ratn Shah, Debanjan Mahata:
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices. - Wenmian Yang, Weijia Jia, Xiaojie Zhou, Yutao Luo:
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network. - Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar:
Reinforcement Learning in Non-Stationary Environments. - Ju Xu, Jin Ma, Zhanxing Zhu:
Bayesian Optimized Continual Learning with Attention Mechanism. - Elaheh Barati, Xuewen Chen, Zichun Zhong:
Attention-based Deep Reinforcement Learning for Multi-view Environments. - Till Menzel, Gerrit Bagschik, Leon Isensee, Andre Schomburg, Markus Maurer:
From Functional to Logical Scenarios: Detailing a Keyword-Based Scenario Description for Execution in a Simulation Environment. - Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. - Takanori Fujiwara, Jia-Kai Chou, Shilpika, Panpan Xu, Liu Ren, Kwan-Liu Ma:
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data. - Pauline Kergus, Martine Olivi, Charles Poussot-Vassal, Fabrice Demourant:
Data-driven reference model selection and application to L-DDC design. - Roee Mordechai Francos, Alfred M. Bruckstein:
Search for Smart Evaders with Sweeping Agents. - Lin Feng, Caifeng Liu, Shenglan Liu, Huibing Wang:
A fast online cascaded regression algorithm for face alignment. - Loïc Landrieu, Mohamed Boussaha:
Supervized Segmentation with Graph-Structured Deep Metric Learning. - Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu:
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables. - Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien:
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling. - Alberto Giaretta, Stefano Pepe, Nicola Dragoni:
UniquID: A Quest to Reconcile Identity Access Management and the Internet of Things. - Jakub Cervený, Veselin Dobrev, Tzanio V. Kolev:
Non-Conforming Mesh Refinement for High-Order Finite Elements. - Derya Çavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. - Pegdwendé N. Sawadogo, Tokio Kibata, Jérôme Darmont:
Metadata Management for Textual Documents in Data Lakes. - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. - Alexis Amid Neme, Sébastien Paumier:
Restoring Arabic vowels through omission-tolerant dictionary lookup. - Ermin Sakic, Nemanja Deric, Endri Goshi, Wolfgang Kellerer:
P4BFT: Hardware-Accelerated Byzantine-Resilient Network Control Plane. - Jaya Prakash Champati, Hussein Al-Zubaidy, James Gross:
On the Distribution of AoI for the GI/GI/1/1 and GI/GI/1/2* Systems: Exact Expressions and Bounds. - Jan Deriu, Álvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak:
Survey on Evaluation Methods for Dialogue Systems. - Nuno Ferreira Duarte, Mirko Rakovic, José Santos-Victor:
Learning Motor Resonance in Human-Human and Human-Robot Interaction with Coupled Dynamical System. - Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. - Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao:
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. - Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. - Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning. - Yat Hong Lam, Alireza Zare, Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Compressing Weight-updates for Image Artifacts Removal Neural Networks. - Yuankai Wu, Huachun Tan, Zhuxi Jiang, Bin Ran:
ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control. - Peng Zhang, Xiaoyu Ge, Jochen Renz:
Support Relation Analysis for Objects in Multiple View RGB-D Images. - Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, Alex C. Kot:
SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks. - Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. - Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao:
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. - Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical approach to classify food scenes in egocentric photo-streams. - Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Frank Neumann, Marc Schoenauer:
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. - Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Hai Nguyen:
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization. - Bernd Illing, Wulfram Gerstner, Johanni Brea:
Biologically plausible deep learning - but how far can we go with shallow networks? - Arnaud Casteigts, Swan Dubois, Franck Petit, John Michael Robson:
Robustness: a New Form of Heredity Motivated by Dynamic Networks. - Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Emotion Retrieval in Egocentric PhotoStream. - Shreya Tayade, Peter Rost, Andreas Mäder, Hans D. Schotten:
Cloud Control AGV over Rayleigh Fading Channel - The Faster The Better. - Yulong Gao, Karl Henrik Johansson, Lihua Xie:
Computing Probabilistic Controlled Invariant Sets. - Fedor V. Fomin, Petr A. Golovach, Fahad Panolan, Kirill Simonov:
Refined Complexity of PCA with Outliers. - Andrei Claudiu Roibu:
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning. - Eric Brachmann, Carsten Rother:
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. - Daniel Gâinâ, Ionut Tutu:
Horn Clauses in Hybrid-Dynamic First-Order Logic. - Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine:
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. - Pavlos Sermpezis, Vasileios Kotronis:
Inferring Catchment in Internet Routing. - Hamid Shiri, Jihong Park, Mehdi Bennis:
Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach. - Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song:
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration. - Deepanshu Vasal:
Signaling equilibria in mean-field games. - Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Device-Aware Efficient ConvNet Design. - Yonghua Zhang, Jiawan Zhang, Xiaojie Guo:
Kindling the Darkness: A Practical Low-light Image Enhancer. - Evripidis Bampis, Bruno Escoffier, Kevin Schewior, Alexandre Teiller:
Online Multistage Subset Maximization Problems. - Daniele Palossi, Francesco Conti, Luca Benini:
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs. - Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander García, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Viéville, Emmanuel Vincent:
AI in the media and creative industries. - Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. - Jarkko Kari:
Low-Complexity Tilings of the Plane. - Stephen Melczer, Bruno Salvy:
Effective Coefficient Asymptotics of Multivariate Rational Functions via Semi-Numerical Algorithms for Polynomial Systems. - Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo:
Multiple Independent Subspace Clusterings. - Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Do Autonomous Agents Benefit from Hearing? - John Törnblom, Simin Nadjm-Tehrani:
Formal Verification of Input-Output Mappings of Tree Ensembles. - Ghislain Fourny:
Perfect Prediction in Minkowski Spacetime: Perfectly Transparent Equilibrium for Dynamic Games with Imperfect Information. - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. - Edwin H. Wintermute, Matthieu Cisel, Ariel B. Lindner:
A survival model for course-course interactions in a Massive Open Online Course platform. - Stefan Rudolph, Sven Tomforde, Jörg Hähner:
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes. - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin:
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. - Martin C. Cooper, Achref El Mouelhi, Cyril Terrioux:
Variable elimination in binary CSPs. - Felipe Meneguzzi, André Grahl Pereira, Ramon Fraga Pereira:
Robust Goal Recognition with Operator-Counting Heuristics. - Xudong Mao, Yun Ma, Zhenguo Yang, Yangbin Chen, Qing Li:
Virtual Mixup Training for Unsupervised Domain Adaptation. - Aran Sena, Matthew J. Howard:
Quantifying Teaching Behaviour in Robot Learning from Demonstration. - Matthias Bentert, Jiehua Chen, Vincent Froese, Gerhard J. Woeginger:
Good Things Come to Those Who Swap Objects on Paths. - Zhong Qiu Lin, Brendan Chwyl, Alexander Wong:
EdgeSegNet: A Compact Network for Semantic Segmentation. - Rob Ashmore, Radu Calinescu, Colin Paterson:
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges. - Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs. - Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. - Patrik Christen, Olivier Del Fabbro:
Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy. - (Withdrawn) Autonomous Locomotion Mode Transition Simulation of a Track-legged Quadruped Robot Step Negotiation.
- Tong Wang, Qihang Lin:
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model. - Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks. - Parvin Yousefikamal:
Breast Tumor Classification and Segmentation using Convolutional Neural Networks. - Nathan Kau, Aaron Schultz, Natalie Ferrante, Patrick Slade:
Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped. - Yiding Feng, Jason D. Hartline, Yingkai Li:
Optimal Auctions vs. Anonymous Pricing: Beyond Linear Utility. - Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou, Rafael Andreou, George Pallis, Marios D. Dikaiakos, Evangelos P. Markatos:
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web. - Daria Boratyn, Werner Kirsch, Wojciech Slomczynski, Dariusz Stolicki, Karol Zyczkowski:
Average Weights and Power in Weighted Voting Games. - Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram:
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. - Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting temporal context for 3D human pose estimation in the wild. - Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. - Huitao Shen:
Mutual Information Scaling and Expressive Power of Sequence Models. - David Durfee, Ryan Rogers:
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition. - Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Selectivity Estimation with Deep Likelihood Models. - Setareh Sharifian, Alireza Poostindouz, Reihaneh Safavi-Naini:
A One-Round Key Agreement Protocol with Information-Theoretic Security. - Mohsen Joneidi, Nazanin Rahnavard:
Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition. - Salvador Pueyo:
Growth, degrowth, and the challenge of artificial superintelligence. - Idris Badmus, Marja Matinmikko-Blue, Jaspreet Singh Walia, Tarik Taleb:
Network Slice Instantiation for 5G Micro-Operator Deployment Scenario. - Stéphane Bessy, François Dross, Martin Knor, Riste Skrekovski:
Graphs with the second and third maximum Wiener index over the 2-vertex connected graphs. - Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua:
Differential Recurrent Neural Network and its Application for Human Activity Recognition. - Dean Eckles, Hossein Esfandiari, Elchanan Mossel, M. Amin Rahimian:
Seeding with Costly Network Information. - David Mestel:
Quantifying information flow in interactive systems. - Shipra Agrawal, Randy Jia:
Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. - Philipp Grete, Forrest Wolfgang Glines, Brian W. O'Shea:
K-Athena: a performance portable structured grid finite volume magnetohydrodynamics code. - Shauna Revay, Matthew Teschke:
Multiclass Language Identification using Deep Learning on Spectral Images of Audio Signals. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi, Jarkko Kaleva:
Subpacketization-Rate Trade-off in Multi-Antenna Coded Caching. - Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch:
Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks. - Jonah Philion:
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network. - Seung Gyu Hyun, Vincent Neiger, Éric Schost:
Implementations of efficient univariate polynomial matrix algorithms and application to bivariate resultants. - Mark Magsino, Dustin G. Mixon, Hans Parshall:
Kesten-McKay law for random subensembles of Paley equiangular tight frames. - Massimo Bartoletti, Letterio Galletta, Maurizio Murgia:
A true concurrent model of smart contracts executions. - Lixin Fan, Kam Woh Ng, Chee Seng Chan:
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks. - El-Mahdi El-Mhamdi, Rachid Guerraoui:
Fast and Secure Distributed Learning in High Dimension. - Onur Mutlu, Saugata Ghose, Juan Gómez-Luna, Rachata Ausavarungnirun:
Enabling Practical Processing in and near Memory for Data-Intensive Computing. - Nihal Soans, Yi Hong, Prashant Doshi:
SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams. - Sharib Ali, Jens Rittscher:
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. - Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Ink removal from histopathology whole slide images by combining classification, detection and image generation models. - Craig J. Bester, Steven D. James, George Dimitri Konidaris:
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. - Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines. - Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller:
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks. - Veljko Boljanovic, Forough Yaghoubi, Danijela Cabric:
User Association in Dense mmWave Networks based on Rate Requirements. - Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. - Chuan Yan, Huazhen Fang:
A New Encounter Between Leader-Follower Tracking and Observer-Based Control: Towards Enhancing Robustness against Disturbances. - Pranav Ashok, Jan Kretínský, Maximilian Weininger:
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games. - Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. - Bao Trung Chu, Kenji Hashimoto, Hiroyuki Seki:
On the Compositionality of Dynamic Leakage and Its Application to the Quantification Problem. - Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. - Thomas Hardjono, Ned M. Smith:
Decentralized Trusted Computing Base for Blockchain Infrastructure Security. - Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang:
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. - Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia:
Novel Long Short-Term Memory Cell Architectures: Application to Light Field Face Recognition. - Tiantian Gao:
Controlled Natural Languages and Default Reasoning. - Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen:
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. - Songsong Wu, Yan Yan, Hao Tang, Jianjun Qian, Jian Zhang, Xiao-Yuan Jing:
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation. - Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li:
Cyclone intensity estimate with context-aware cyclegan. - Tianyu Ren, Yunfei Dong, Dan Wu, Ken Chen:
Fast Skill Learning for Variable Compliance Robotic Assembly. - Christopher E. Mower, Wolfgang Merkt, Aled Davies, Sethu Vijayakumar:
Comparing Alternate Modes of Teleoperation for Constrained Tasks. - Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi:
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. - Tong Wu, Huan Zhao, Fanxin Liu, Jing Guo, Han Wang:
Machine Learning Approach for Device-Circuit Co-Optimization of Stochastic-Memristive-Device-Based Boltzmann Machine. - Songsong Wu, Zhiqiang Lu, Hao Tang, Yan Yan, Songhao Zhu, Xiao-Yuan Jing, Zuoyong Li:
Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering. - Manxi Wu, Saurabh Amin:
Learning an Unknown Network State in Routing Games. - Si Wei Feng, Shuai D. Han, Kai Gao, Jingjin Yu:
Efficient Algorithms for Optimal Perimeter Guarding. - J. V. Roig, Eunice Grace Gatdula:
HSTS Preloading is Ineffective as a Long-Term, Wide-Scale MITM-Prevention Solution: Results from Analyzing the 2013 - 2017 HSTS Preload List. - Yiwen Zhang, Yue Tan, Brent E. Stephens, Mosharaf Chowdhury:
RDMA Performance Isolation With Justitia. - Yu Cheng, Zhihao Jiang, Kamesh Munagala, Kangning Wang:
Group Fairness in Committee Selection. - Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre, Tobias Gerstenberg, Joshua B. Tenenbaum, Hyowon Gweon:
Explaining intuitive difficulty judgments by modeling physical effort and risk. - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. - Yin Tat Lee, Zhao Song, Qiuyi Zhang:
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time. - Arunabh Saxena, Bhumesh Kumar, Neeraja Sahasrabudhe, Sharayu Moharir:
Influencing Opinions of Heterogeneous Populations over Finite Time Horizons. - Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng:
Deep Plug-and-play Prior for Low-rank Tensor Completion. - Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. - Zhaokang Chen, Bertram E. Shi:
Appearance-Based Gaze Estimation via Gaze Decomposition and Single Gaze Point Calibration. - Sudeep Pillai, John J. Leonard:
Self-Supervised Visual Place Recognition Learning in Mobile Robots. - Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian:
Hadamard Matrix Guided Online Hashing. - Chavit Denninnart, James Gentry, Mohsen Amini Salehi:
Improving Robustness of Heterogeneous Serverless Computing Systems Via Probabilistic Task Pruning. - Yushu Feng, Huan Wang, Daniel T. Yi, Roland Hu:
Triplet Distillation for Deep Face Recognition. - Anna Kovalenko, Razin Farhan Hussain, Omid Semiari, Mohsen Amini Salehi:
Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks. - Vaughan Veillon, Chavit Denninnart, Mohsen Amini Salehi:
F-FDN: Federation of Fog Computing Systems for Low Latency Video Streaming. - Razin Farhan Hussain, Mohsen Amini Salehi, Omid Semiari:
Serverless Edge Computing for Green Oil and Gas Industry. - Yongge Wang:
Another Look at ALGORAND. - Fabian Truetsch, Alfred Schöttl:
Monocular Depth Estimation with Directional Consistency by Deep Networks. - Yong Tan:
A New Shortest Path Algorithm Generalized on Dynamic Graph for Commercial Intelligent Navigation for Transportation Management. - Yuli Sun, Xiang Tan, Xiao Li, Lin Lei, Gangyao Kuang:
Sparse Optimization Problem with s-difference Regularization. - Xiang Pan, Tianyu Zhao, Minghua Chen:
DeepOPF: Deep Neural Network for DC Optimal Power Flow. - Chaitanya S. Lakkundi, Vartika Agrahari, Sridhar Chimalakonda:
GE852: A Dataset of 852 Game Engines. - Masaki Waga, Étienne André, Ichiro Hasuo:
Symbolic Monitoring against Specifications Parametric in Time and Data. - Colin Cooper, Martin E. Dyer, Catherine S. Greenhill:
Triangle-creation processes on cubic graphs. - Fernando Gama, Joan Bruna, Alejandro Ribeiro:
Stability Properties of Graph Neural Networks. - Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Yuhong Liu, Dongxi Liu:
GraphSE2: An Encrypted Graph Database for Privacy-Preserving Social Search. - Suhansanu Kumar, Heting Gao, Changyu Wang, Hari Sundaram, Kevin Chen-Chuan Chang:
Mining Hidden Populations through Attributed Search. - Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. - Yao Xie, Peng Xu, Zhanyu Ma:
Deep Zero-Shot Learning for Scene Sketch. - Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas:
Unified Generator-Classifier for Efficient Zero-Shot Learning. - Guan Wang:
Interpret Federated Learning with Shapley Values. - Arijit Nandi, Nanda Dulal Jana:
Accuracy Improvement of Neural Network Training using Particle Swarm Optimization and its Stability Analysis for Classification. - Supritam Bhattacharjee, Devraj Mandal, Soma Biswas:
Segregation Network for Multi-Class Novelty Detection. - Zelong Zeng, Zhixiang Wang, Zheng Wang, Yung-Yu Chuang, Shin'ichi Satoh:
Illumination-Adaptive Person Re-identification. - Shahab Heshmati-Alamdari, Charalampos P. Bechlioulis, George C. Karras, Kostas J. Kyriakopoulos:
Decentralized Impedance Control for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems under Lean Communication. - James P. Bailey, Georgios Piliouras:
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes. - Fan Bao, Hang Su, Jun Zhu:
Boosting Generative Models by Leveraging Cascaded Meta-Models. - Shengjie Liu, Qian Shi, Zhixin Qi:
Multitask deep learning with spectral knowledge for hyperspectral image classification. - Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
Disentangling Content and Style via Unsupervised Geometry Distillation. - Adriano Baldeschi, Raffaella Margutti, Adam Miller:
Deep Learning: a new definition of artificial neuron with double weight. - Achintya Kumar Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James R. Glass:
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification. - Wuchen Li, Lexing Ying:
Hessian transport gradient flows. - Arash Gholami Davoodi, Anubhav Baweja, Hosein Mohimani:
Tree-wise Distribution Sensitive hashing: Efficient Maximum likelihood Classification by joint dimensionality reduction in known probabilistic settings. - Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp:
Semantic categories of artifacts and animals reflect efficient coding. - Amar Saini:
PrivateJobMatch: A Privacy-Oriented Deferred Multi-Match Recommender System for Stable Employment. - Luke Zeng, Shawn Xin, Avadesian Xu, Thomas Pang, Tim Yang, Maolin Zheng:
Seele's New Anti-ASIC Consensus Algorithm with Emphasis on Matrix Computation. - Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. - Alice Hutchings, Sergio Pastrana:
Understanding eWhoring. - Suzan Verberne, Jiyin He, Gineke Wiggers, Tony Russell-Rose, Udo Kruschwitz, Arjen P. de Vries:
Information search in a professional context - exploring a collection of professional search tasks. - Ting Chen, Song Bian, Yizhou Sun:
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. - Ireneusz Szczesniak, Ireneusz Olszewski, Bozena Wozna-Szczesniak:
The efficient and optimal algorithm for the dynamic dedicated path protection. - Pushpak Jagtap, Sadegh Soudjani, Majid Zamani:
Formal Synthesis of Stochastic Systems via Control Barrier Certificates. - Yang Zhang:
Language in Our Time: An Empirical Analysis of Hashtags. - Hongru Zhu, Peng Tang, Alan L. Yuille:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. - Konrad Kulakowski:
On the geometric mean method for incomplete pairwise comparisons. - Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee:
Explainable AI for Trees: From Local Explanations to Global Understanding. - Tatsuki Sekino:
Data description and retrieval using periods represented by uncertain time intervals. - Chengrui Li, Bruce J. MacLennan:
Continuous-Time Systems for Solving 0-1 Integer Linear Programming Feasibility Problems. - Seung Gyu Hyun, Stephen Melczer, Éric Schost, Catherine St-Pierre:
Change of basis for m-primary ideals in one and two variables. - Oliver Buckley, Jason R. C. Nurse:
The Language of Biometrics: Analysing Public Perceptions. - Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. - Panagiotis Chatzigiannis, Foteini Baldimtsi, Igor Griva, Jiasun Li:
Diversification Across Mining Pools: Optimal Mining Strategies under PoW. - En-Liang Hu, Quanming Yao:
Robust Learning from Noisy Side-information by Semidefinite Programming. - Yi Hsuan Hsiao, Pakpong Chirarattananon:
Ceiling Effects for Hybrid Aerial-Surface Locomotion of Small Rotorcraft. - Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani:
Theoretical Limits of One-Shot Distributed Learning. - Wenbo Tao, Xiaoyu Liu, Çagatay Demiralp, Remco Chang, Michael Stonebraker:
Kyrix: Interactive Visual Data Exploration at Scale. - Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Danlu Chen, Xu-Yao Zhang, Wei Zhang, Yao Lu, Xiuli Li, Tao Mei:
Predictive Ensemble Learning with Application to Scene Text Detection. - Ricardo Serrato Barrera, Gustavo Rodríguez Gómez, Julio César Pérez Sansalvador, Saúl E. Pomares Hernández, Leticia Flores-Pulido, Antonio Muñoz:
Software System Design based on Patterns for Newton-Type Methods. - Mohammad G. Raeini, Mehrdad Nojoumian:
Secure Error Correction using Multi-Party Computation. - Ali Basiri, Lorin Hochstein, Nora Jones, Haley Tucker:
Automating chaos experiments in production. - Abha Kumari, Ashok Singh Sairam:
A Survey of Controller Placement Problem in Software Defined Networks. - Muzammil Abdul Rehman, Sharon Goldberg, David R. Choffnes:
Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources. - Nikhil Mehta, Dan Goldwasser:
Improving Natural Language Interaction with Robots Using Advice. - Prasad Raghavendra, Morris Yau:
List Decodable Learning via Sum of Squares. - Nichita Diaconu, Daniel E. Worrall:
Learning to Convolve: A Generalized Weight-Tying Approach. - Marbin Pazos-Revilla, Mohamed Baza, Mahmoud Nabil, Ahmed B. T. Sherif, Mohamed Mahmoud, Waleed Alasmary:
Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grid. - Mohammadreza Babaee, David Full, Gerhard Rigoll:
On Flow Profile Image for Video Representation. - Wei Pan, Xuequan Lu, Yuanhao Gong, Wenming Tang, Jun Liu, Ying He, Guoping Qiu:
HLO: Half-kernel Laplacian Operator for Surface Smoothing. - Enxhell Luzhnica, Ben Day, Pietro Liò:
On Graph Classification Networks, Datasets and Baselines. - Nicolas T. Courtois, Aidan Patrick:
Lack of Unique Factorization as a Tool in Block Cipher Cryptanalysis. - A. Mani:
Rough Contact in General Rough Mereology. - Kevin Sam Tharayil, Benyamin Farshteindiker, Shaked Eyal, Nir Hasidim, Roy Hershkovitz, Shani Houri, Ilia Yoffe, Michal Oren, Yossi Oren:
Sensor Defense In-Software (SDI): Practical Software Based Detection of Spoofing Attacks on Position Sensor. - (Withdrawn) Adaptive Composition GAN towards Realistic Image Synthesis.
- Mohammad Abouei Mehrizi, Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo:
Election Control with Voters' Uncertainty: Hardness and Approximation Results. - Juho Lauri, Christodoulos Mitillos:
Complexity of fall coloring for restricted graph classes. - Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma:
Ensemble Super-Resolution with A Reference Dataset. - Nayan Joshi, Yogesh Sharma, Parv Parkhiya, Rishabh Khawad, K. Madhava Krishna, Brojeshwar Bhowmick:
Integrating Objects into Monocular SLAM: Line Based Category Specific Models. - Valerio Ficcadenti, Roy Cerqueti, Marcel Ausloos:
A joint text mining-rank size investigation of the rhetoric structures of the US Presidents' speeches. - Koby Bibas, Yaniv Fogel, Meir Feder:
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression. - Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan:
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. - Ali Mert Ertugrul, Yu-Ru Lin, Tugba Taskaya-Temizel:
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting. - Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li:
Diagnosing Reinforcement Learning for Traffic Signal Control. - Arun Ross, Sudipta Banerjee, Cunjian Chen, Anurag Chowdhury, Vahid Mirjalili, Renu Sharma, Thomas Swearingen, Shivangi Yadav:
Some Research Problems in Biometrics: The Future Beckons. - Ghafour Ahani, Pawel Wiatr, Di Yuan:
Routing and Scheduling of Network Flows with Deadlines and Discrete Capacity Allocation. - Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li:
Learning Phase Competition for Traffic Signal Control. - Sopo Pkhakadze:
Sequent-Type Proof Systems for Three-Valued Default Logic. - Milan Gritta:
A Comparison of Techniques for Sentiment Classification of Film Reviews. - Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Yang, Heng Tao Shen:
One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework. - Thomas Möllenhoff, Daniel Cremers:
Flat Metric Minimization with Applications in Generative Modeling. - Emanuel Sanchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. - Ireneusz Szczesniak, Piotr Cholda, Andrzej R. Pach, Bozena Wozna-Szczesniak:
Interoperator fixed-mobile network sharing. - Ha-Vu Tran, Georges Kaddoum, Panagiotis D. Diamantoulakis, Chadi Abou-Rjeily, George K. Karagiannidis:
Ultra-small Cell Networks with Collaborative RF and Lightwave Power Transfer. - Shouyu Wang, Weitao Tang:
Object Detection in Specific Traffic Scenes using YOLOv2. - Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. - Junaed Younus Khan, Md. Tawkat Islam Khondaker, Anindya Iqbal, Sadia Afroz:
A Benchmark Study on Machine Learning Methods for Fake News Detection. - Eljose E. Sajan, Yunpeng Zhang, Liang-Chieh Cheng:
Static Analyzers and Potential Future Research Directions for Scala: An Overview. - Mengtian Li, Ersin Yumer, Deva Ramanan:
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. - Aile Ge-Ernst, Christoph Scholl, Ralf Wimmer:
Quantifier Localization for DQBF. - Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot:
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding. - Mohsen Heidari, S. Sandeep Pradhan:
Structured Mappings and Conferencing Common Information for Multiple-access Channels. - Fahri Ali Rahman, Igi Ardiyanto, Adha Imam Cahyadi:
Real-Time Kinodynamic Motion Planning for Omnidirectional Mobile Robot Soccer using Rapidly-Exploring Random Tree in Dynamic Environment with Moving Obstacles. - Tobias Vinçon, Andreas Koch, Ilia Petrov:
Moving Processing to Data: On the Influence of Processing in Memory on Data Management. - Will Ma, David Simchi-Levi:
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios. - Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame:
Failure-Tolerant Connectivity Maintenance for Robot Swarms. - Novarun Deb, Nabendu Chaki:
AFSCR: Annotation of Functional Satisfaction Conditions and their Reconciliation within i* models. - Francesco Acciani, Paolo Frasca, Geert Heijenk, Anton A. Stoorvogel:
Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication. - Massimo Nazaria:
Simulation Based Formal Verification of Cyber-Physical Systems. - Mohammad Yousefvand, Kenza Hamidouche, Narayan B. Mandayam:
Learning-based Resource Optimization in Ultra Reliable Low Latency HetNets. - Onorina Kovalenko, Vladislav Golyanik, Jameel Malik, Ahmed Elhayek, Didier Stricker:
Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data. - Jun Zhang, Tong Zheng, Shengping Zhang, Meng Wang:
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks. - Shea Ketsdever, Michael J. Fischer:
Incentives Don't Solve Blockchain's Problems. - Mustafa Bal, Caitlin Ner:
NFTracer: A Non-Fungible Token Tracking Proof-of-Concept Using Hyperledger Fabric. - Martín Barrère, Chris Hankin, Nicolas Nicolaou, Demetrios G. Eliades, Thomas Parisini:
Identifying Security-Critical Cyber-Physical Components in Industrial Control Systems. - Junting Ye, Steven Skiena:
The Secret Lives of Names? Name Embeddings from Social Media. - Josef Spillner:
Quantitative Analysis of Cloud Function Evolution in the AWS Serverless Application Repository. - Linjie Yang, Yuchen Fan, Ning Xu:
Video Instance Segmentation. - Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris:
Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning. - Yilun Du, Karthik Narasimhan:
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. - Oleksii Omelchenko, Andrei A. Bulatov:
Satisfiability Threshold for Power Law Random 2-SAT in Configuration Model. - Chris M. Ward, Josh Harguess, Alexander G. Corelli:
Leveraging synthetic imagery for collision-at-sea avoidance. - Yinglu Liu, Hailin Shi, Yue Si, Hao Shen, Xiaobo Wang, Tao Mei:
A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark. - Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in Feature Deception Games. - Hossein K. Mousavi, MohammadReza Nazari, Martin Takác, Nader Motee:
Multi-Agent Image Classification via Reinforcement Learning. - Ling Xu, Feng Shu, Guiyang Xia, Yijin Zhang, Zhihong Zhuang, Jiangzhou Wang:
Secure Hybrid Digital and Analog Precoder for mmWave Systems with low-resolution DACs and finite-quantized phase shifters. - Michael Crosscombe, Jonathan Lawry:
Evidence Propagation and Consensus Formation in Noisy Environments. - Mythra V. Balakuntala, Vishnunandan L. N. Venkatesh, Jyothsna Padmakumar Bindu, Richard M. Voyles, Juan P. Wachs:
Extending Policy from One-Shot Learning through Coaching. - Jessie Sun:
A Stock Selection Method Based on Earning Yield Forecast Using Sequence Prediction Models. - Long Zhou, Jiajun Zhang, Chengqing Zong:
Synchronous Bidirectional Neural Machine Translation. - Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi:
ISBNet: Instance-aware Selective Branching Network. - Kazuya Haraguchi, Kotaro Torii, Motomu Endo:
Maximum Weighted Matching with Few Edge Crossings for 2-Layered Bipartite Graph. - Ziling Huang, Zheng Wang, Shin'ichi Satoh, Chia-Wen Lin:
Group Re-identification via Transferred Single and Couple Representation Learning. - Chia-Ling Huang, Wei-Chang Yeh:
A new SSO-based Algorithm for the Bi-Objective Time-constrained task Scheduling Problem in Cloud Computing Services. - Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara:
Physically-interpretable classification of network dynamics for complex collective motions. - Santosh Parajuli, Ram Kaji Budhathoki, Hyongsuk Kim:
Nonvolatile Memory Cell Based on Memristor Emulator. - Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron C. Courville:
Hierarchical Importance Weighted Autoencoders. - Quan Hoang Nguyen, Andre Cronje:
ONLAY: Online Layering for scalable asynchronous BFT system. - Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu:
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction. - K. S. Sesh Kumar, Marc Peter Deisenroth:
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms. - Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. - Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. - Qi Ni, Fei Wang, Ziwei Zhao, Peng Gao:
FPGA-based Binocular Image Feature Extraction and Matching System. - Graham Cormode, Pavel Veselý:
Streaming Algorithms for Bin Packing and Vector Scheduling. - Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. - Xiaohui Bei, Xinhang Lu, Pasin Manurangsi, Warut Suksompong:
The Price of Fairness for Indivisible Goods. - Jianhao Jiao, Yang Yu, Qinghai Liao, Haoyang Ye, Ming Liu:
Automatic Calibration of Multiple 3D LiDARs in Urban Environments. - Lingbing Guo, Zequn Sun, Wei Hu:
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. - Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan:
BayesNAS: A Bayesian Approach for Neural Architecture Search. - Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
Differentiable Game Mechanics. - Konstantinos A. Mountris, George C. Bourantas, Daniel Millan, Grand R. Joldes, Karol Miller, Esther Pueyo, Adam Wittek:
Cell-based Maximum Entropy Approximants for Three Dimensional Domains: Application in Large Strain Elastodynamics using the Meshless Total Lagrangian Explicit Dynamics Method. - Lihi Dery, Svetlana Obraztsova, Zinovi Rabinovich, Meir Kalech:
Lie on the Fly: Strategic Voting in an Iterative Preference Elicitation Process. - Mazen Alamir:
Explicit approximation of stochastic optimal feedback control for combined therapy of cancer. - Yi Ouyang, Xianhong Xie, Honggang Hu, Ming Mao:
Construction of three classes of Strictly Optimal Frequency-Hopping Sequence Sets. - Kaito Fujii:
An improved algorithm for the submodular secretary problem with a cardinality constraint. - Nicolas Keriven, Gabriel Peyré:
Universal Invariant and Equivariant Graph Neural Networks. - Theodoros Giannakas, Thrasyvoulos Spyropoulos, Pavlos Sermpezis:
The Order of Things: Position-Aware Network-friendly Recommendations in Long Viewing Sessions. - Ehsan Mohammadpour, Eleni Stai, Jean-Yves Le Boudec:
Improved Delay Bound for a Service Curve Element with Known Transmission Rate. - Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. - Manuel Peuster, Stefan Schneider, Holger Karl:
The Softwarised Network Data Zoo. - Theodor Cimpeanu, The Anh Han, Francisco C. Santos:
Exogenous Rewards for Promoting Cooperation in Scale-Free Networks. - Dushyant Mehta, Kwang In Kim, Christian Theobalt:
Implicit Filter Sparsification In Convolutional Neural Networks. - Aaron Klein, Frank Hutter:
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization. - Mirko Myllykoski, Carl Christian Kjelgaard Mikkelsen:
Introduction to StarNEig - A Task-based Library for Solving Nonsymmetric Eigenvalue Problems. - Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou:
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. - Malinka Ivanova, Sushil Bhattacharjee, Sébastien Marcel, Anna Rozeva, Mariana Durcheva:
Enhancing Trust in eAssessment - the TeSLA System Solution. - Iqra Altaf Gillani, Amitabha Bagchi:
A Distributed Laplacian Solver and its Applications to Electrical Flow and Random Spanning Tree Computation. - Julius Berner, Dennis Elbrächter, Philipp Grohs, Arnulf Jentzen:
Towards a regularity theory for ReLU networks - chain rule and global error estimates. - Andrea Aler Tubella, Andreas Theodorou, Virginia Dignum, Frank Dignum:
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour. - Laura Carreras, Albert Turón, Brian L. V. Bak, Esben Lindgaard, Jordi Renart, Federico Martín de la Escalera, Yasser Essa:
A simulation method for fatigue-driven delamination in layered structures involving non-negligible fracture process zones and arbitrarily shaped crack fronts. - Alfredo Jaramillo, Gustavo C. Buscaglia:
An extended Elrod-Adams model to account for backpressure and blow-by inception. - Wenjie Hu, Yang Yang, Liang Wu, Zongtao Liu, Zhanlin Sun, Bingshen Yao:
Capturing Evolution Genes for Time Series Data. - Wenjie Hu, Yang Yang, Zilong You, Zongtao Liu, Xiang Ren:
Modeling Combinatorial Evolution in Time Series Prediction. - Oleksii Sidorov, Jon Yngve Hardeberg:
"The cracks that wanted to be a graph": application of image processing and Graph Neural Networks to the description of craquelure patterns. - Susmita Dey Manasi, Farhana Sharmin Snigdha, Sachin S. Sapatnekar:
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients. - Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands, Cameron Browne:
Ludii - The Ludemic General Game System. - Giovanni Cuffaro, Federica Paganelli, Georgios Mylonas:
A resource-based rule engine for energy savings recommendations in educational buildings. - Ioana Leustean, Natalia Moanga, Traian-Florin Serbanuta:
Operational semantics and program verification using many-sorted hybrid modal logic. - Alexander Bihlo:
Precipitation nowcasting using a stochastic variational frame predictor with learned prior distribution. - Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang:
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. - Qixuan Zhang, Bowen Xu, Haotian Jing, Zeyu Zheng:
Ques-Chain: an Ethereum Based E-Voting System. - Eirini Papagiannopoulou, Grigorios Tsoumakas:
A Review of Keyphrase Extraction. - Shuowen Zhang, Rui Zhang:
Radio Map Based Path Planning for Cellular-Connected UAV. - Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multi-View Multiple Clustering. - Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye:
Object Detection in 20 Years: A Survey. - Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo:
Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization. - Ankush Acharyya, Anil Maheshwari, Subhas C. Nandy:
Color spanning Localized query. - Jan van den Brand, Danupon Nanongkai, Thatchaphol Saranurak:
Dynamic Matrix Inverse: Improved Algorithms and Matching Conditional Lower Bounds. - Simon M. Lucas, Vanessa Volz:
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels. - Shiyu Cai:
Analysis of Committee Selection Mechanism in Blockchain. - Kewen Liu, Yuan Ma, Hongxia Xiong, Zejun Yan, Zhijun Zhou, Panpan Fang, Chaoyang Liu:
Medical image super-resolution method based on dense blended attention network. - Zhiqiang Gong, Ping Zhong, Weidong Hu, Zixuan Xiao, Xuping Yin:
A novel statistical metric learning for hyperspectral image classification. - Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-supervised Caricature Face Parsing through Domain Adaptation. - Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo:
Joint demosaicing and denoising by overfitting of bursts of raw images. - Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. - V. Charumathi, M. Ramakrishna, Vinita Vasudevan:
Fast Proper Orthogonal Decomposition Using Improved Sampling and Iterative Techniques for Singular Value Decomposition. - Yu Sun, Jiaming Liu, Ulugbek S. Kamilov:
Block Coordinate Regularization by Denoising. - Stefan Jaax, Stefan Kiefer:
On Semigroups of Two-Dimensional Upper-Triangular Integer Matrices. - Son Dinh, Christopher D. Gill, Kunal Agrawal:
Analysis of Global Fixed-Priority Scheduling for Generalized Sporadic DAG Tasks. - Kevin M. Judd, Jonathan D. Gammell:
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. - Venkat Arun, Hari Balakrishnan:
RFocus: Practical Beamforming for Small Devices. - Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg:
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. - Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks. - Jochen Stüber, Claudio Zito, Rustam Stolkin:
Let's Push Things Forward: A Survey on Robot Pushing. - Yujing Chen, Yue Ning, Zheng Chai, Huzefa Rangwala:
Federated Multi-task Hierarchical Attention Model for Sensor Analytics. - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
VideoGraph: Recognizing Minutes-Long Human Activities in Videos. - Youngjun Cho, Nadia Bianchi-Berthouze, Manuel Fradinho Oliveira, Catherine Holloway, Simon Julier:
Nose Heat: Exploring Stress-induced Nasal Thermal Variability through Mobile Thermal Imaging. - Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart:
AMZ Driverless: The Full Autonomous Racing System. - Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim:
Impossibility of Full Decentralization in Permissionless Blockchains. - Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov:
Spectral Coarsening of Geometric Operators. - Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. - Siddharth Barman, Federico Echenique:
The Edgeworth Conjecture with Small Coalitions and Approximate Equilibria in Large Economies. - Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun:
Zoom To Learn, Learn To Zoom. - Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li:
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. - Catarina Moreira, Lauren Fell, Shahram Dehdashti, Peter Bruza, Andreas Wichert:
Towards a Quantum-Like Cognitive Architecture for Decision-Making. - Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao:
A Distributed Approach towards Discriminative Distance Metric Learning. - Hongyang Gao, Shuiwang Ji:
Graph U-Nets. - Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz:
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. - Libo Xing:
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning. - Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev, Grégoire Cattan, Pedro Coelho Rodrigues, Marco Congedo:
Building Brain Invaders: EEG data of an experimental validation. - Jia Bi, Steve R. Gunn:
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. - Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. - Sara Elkerdawy, Hong Zhang, Nilanjan Ray:
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning. - Nicole Immorlica, Jieming Mao, Christos Tzamos:
Diversity and Exploration in Social Learning. - Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li:
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. - Philipp H. Kindt, Samarjit Chakraborty:
On Optimal Neighbor Discovery. - Meredydd Williams, Jason R. C. Nurse, Sadie Creese:
Smartwatch games: Encouraging privacy-protective behaviour in a longitudinal study. - Ali Bereyhi, Saba Asaad, Bernhard Gäde, Ralf R. Müller:
RLS-Based Detection for Massive Spatial Modulation MIMO. - Xavier de Carné de Carnavalet, Mohammad Mannan:
Privacy and Security Risks of "Not-a-Virus" Bundled Adware: The Wajam Case. - Pravesh Kothari, Divyarthi Mohan, Ariel Schvartzman, Sahil Singla, S. Matthew Weinberg:
Approximation Schemes for a Buyer with Independent Items via Symmetries. - Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond linear polinomials. - Kiran Khatter:
Interval Valued Trapezoidal Neutrosophic Set for Prioritization of Non-functional Requirements. - Matias Valdenegro-Toro:
Deep Neural Networks for Marine Debris Detection in Sonar Images. - Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp:
Robustness Analysis of Face Obscuration. - Philipp Wanko:
Design Space Exploration via Answer Set Programming Modulo Theories. - Ke Wang:
Learning Scalable and Precise Representation of Program Semantics. - Yunbo Zhang, Wenhao Yu, Greg Turk:
Learning Novel Policies For Tasks. - Michael J. De Lucia, Allison Newcomb, Alexander Kott:
Features and Operation of an Autonomous Agent for Cyber Defense. - Wei Quan Lim:
Optimal Multithreaded Batch-Parallel 2-3 Trees. - Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar:
Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks. - Ashkan Aghdai, Yang Xu, Mark Huang, David H. Dai, H. Jonathan Chao:
Enabling Mobility in LTE-Compatible Mobile-edge Computing with Programmable Switches. - Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds. - Xiao Ma, Justin Cheng, Shankar Iyer, Mor Naaman:
When Do People Trust Their Social Groups? - Martin Hjelm:
Human Visual Understanding for Cognition and Manipulation - A primer for the roboticist. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
Transtemporal edges and crosslayer edges in incompressible high-order networks. - Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez:
Deep Local Trajectory Replanning and Control for Robot Navigation. - Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman:
Friendship Paradox Biases Perceptions in Directed Networks. - Jerome R. Busemeyer, Peter D. Kvam, Timothy J. Pleskac:
Markov versus quantum dynamic models of belief change during evidence monitoring. - Stefan Mengel, Romain Wallon:
Revisiting Graph Width Measures for CNF-Encodings. - Madhusudan Verma, Alok Chauhan, V. Vijayakumar:
5/4 approximation for Symmetric TSP. - Shrimai Prabhumoye, Chris Quirk, Michel Galley:
Towards Content Transfer through Grounded Text Generation. - Amir Jalilifard, Vinicius Fernandes Caridá, Alex Mansano, Rogers Cristo:
Can NetGAN be improved by short random walks originated from dense vertices? - Rene Bidart, Alexander Wong:
Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift. - Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. - George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Viktor Zamaraev, Philipp Zschoche:
Computing Maximum Matchings in Temporal Graphs. - Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez:
Consequential Ranking Algorithms and Long-term Welfare. - Harshit Roy, Mrigank Sharad:
Current Mode Neuron for the Memristor based synapse. - Mohammed Saad ElBamby, Cristina Perfecto, Chen-Feng Liu, Jihong Park, Sumudu Samarakoon, Xianfu Chen, Mehdi Bennis:
Wireless Edge Computing with Latency and Reliability Guarantees. - Seemanta Saha, William Eiers, Ismet Burak Kadron, Lucas Bang, Tevfik Bultan:
Incremental Adaptive Attack Synthesis. - Danupon Nanongkai, Thatchaphol Saranurak, Sorrachai Yingchareonthawornchai:
Computing and Testing Small Vertex Connectivity in Near-Linear Time and Queries. - Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra:
Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops. - Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi:
Correlated Variational Auto-Encoders. - Shaojie Tang, Jing Yuan:
Adaptive Robust Optimization with Nearly Submodular Structure. - Esther Max-Onakpoya, Oluwashina Madamori, Faren Grant, Robin Vanderpool, Ming-Yuan Chih, David K. Ahern, Eliah Aronoff Spencer, Corey E. Baker:
Augmenting Cloud Connectivity with Opportunistic Networks for Rural Remote Patient Monitoring. - Pejman Habashi, Boubakeur Boufama, Imran Shafiq Ahmad:
Disparity-Augmented Trajectories for Human Activity Recognition. - Penghui Sun, Jingwei Qu, Xiaoqing Lyu, Haibin Ling, Zhi Tang:
Graph Attribute Aggregation Network with Progressive Margin Folding. - Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. - Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. - Rostislav Matveev, Jacobus W. Portegies:
Tropical probability theory and an application to the entropic cone. - Weirui Lu, Xiaofen Xing, Bolun Cai, Xiangmin Xu:
Listwise View Ranking for Image Cropping. - Dongdong Yu, Kai Su, Xin Geng, Changhu Wang:
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation. - Jianfeng Chen, Tim Menzies:
Faster Creation of Smaller Test Suites (with SNAP). - Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
Fully Integrated On-FPGA Molecular Dynamics Simulations. - Jangho Kwon, Laehyun Kim:
Emotion recognition using a glasses-type wearable device via multi-channel facial responses. - Yujie Jia, Zhaoxia Yin, Xinpeng Zhang, Yonglong Luo:
Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting. - Yiling Yuan, Tao Yang, Hui Feng, Bo Hu:
Learning for Matching Game in Cooperative D2D Communication with Incomplete Information. - Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran:
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN). - Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang:
Self-supervised Audio Spatialization with Correspondence Classifier. - Kenneth L. Clarkson, Ruosong Wang, David P. Woodruff:
Dimensionality Reduction for Tukey Regression. - Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto:
A human-inspired recognition system for premodern Japanese historical documents. - Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel W. Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. - Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa:
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting. - Chuan-Xian Ren, Bo-Hua Liang, Zhen Lei:
Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation. - Rawad Bitar, Mary Wootters, Salim El Rouayheb:
Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning. - Soumyava Das, Abhishek Santra, Jay Bodra, Sharma Chakravarthy:
Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs. - Sumit Kumar Tetarave, Somanath Tripathy:
Robust Node ID Assignment for Mobile P2P Networks. - Matthias Geiger, Changkun Ou, Cedric Quintes:
WatchOut: A Road Safety Extension for Pedestrians on a Public Windshield Display. - Long Gong, Jun Xu, Liang Liu, Siva Theja Maguluri:
QPS-r: A Cost-Effective Crossbar Scheduling Algorithm and Its Stability and Delay Analysis. - Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen:
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. - Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Survey of Multilingual Neural Machine Translation. - Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. - Stefano Rini, Joseph Chataignon:
Comparison-limited Vector Quantization. - Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. - Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. - Dmytro Krasnoshtan:
On the number of k-skip-n-grams. - Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi:
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. - Richard Cloete, Nick S. Holliman:
Measuring and simulating latency in interactive remote rendering systems. - Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. - Hao Tang, Wei Wang, Songsong Wu, Xinya Chen, Dan Xu, Nicu Sebe, Yan Yan:
Expression Conditional GAN for Facial Expression-to-Expression Translation. - Çagatay Odabasi, Jewel Jose:
Towards a Skeleton-Based Action Recognition For Realistic Scenarios. - Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai:
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors. - Shenglong Peng, Xuan He, Junyi Du, Yong Liang Guan, Liang Zhou:
A TDMA-like Access Scheme with Splitting Request and Transmission for Vehicular Networks. - Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Joint Power Control and Rate Allocation enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks. - Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu:
Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data. - Loïc Simon, Ryan Webster, Julien Rabin:
Revisiting Precision and Recall Definition for Generative Model Evaluation. - Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Ming-Ming Cheng, Kai Wang, Shao-Ping Lu:
LSANet: Feature Learning on Point Sets by Local Spatial Attention. - Eric Benhamou, Jamal Atif, Rida Laraki, David Saltiel:
NGO-GM: Natural Gradient Optimization for Graphical Models. - Zhe Chen, Xiao-Jun Wu, Josef Kittler:
Transition Subspace Learning based Least Squares Regression for Image Classification. - Hamidreza Bakhshzad Mahmoodi, Jarkko Kaleva, Seyed Pooya Shariatpanahi, Babak H. Khalaj, Antti Tölli:
D2D Assisted Beamforming for Coded Caching. - Xuanxuan Wang, Wei Feng, Yunfei Chen, Ning Ge:
UAV Swarm-Enabled Aerial CoMP: A Physical Layer Security Perspective. - Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He:
Fixed-price Diffusion Mechanism Design. - Christian Wildner, Heinz Koeppl:
Moment-Based Variational Inference for Markov Jump Processes. - Francesco Malandrino, Cristina Rottondi, Carla-Fabiana Chiasserini, Andrea Bianco, Ioannis Stavrakakis:
Multiservice UAVs for Emergency Tasks in Post-disaster Scenarios. - Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy:
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering. - Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. - Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka:
Learning Generative Models across Incomparable Spaces. - Weida Li, Fang Chen, Daoqiang Zhang:
A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment. - Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung:
An Improved Self-supervised GAN via Adversarial Training. - Richard Csaky, Patrik Purgai, Gábor Recski:
Improving Neural Conversational Models with Entropy-Based Data Filtering. - Yunsu Kim, Yingbo Gao, Hermann Ney:
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. - Ivan Yanchin, Oleg Petrov:
Parallel genetic algorithm for planning safe and optimal route for ship. - Wen Zhang, Yao Zhang, Dengji Zhao:
Crowdsourcing Data Acquisition via Social Networks. - Nikhil Kasukurthi, Brij Rokad, Shiv Bidani, Aju Dennisan:
American Sign Language Alphabet Recognition using Deep Learning. - Apostolos Chalkis, Ioannis Z. Emiris, Vissarion Fisikopoulos:
Practical Volume Estimation by a New Annealing Schedule for Cooling Convex Bodies. - Binyamin Manela, Armin Biess:
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization. - Simon Foster, James Baxter, Ana Cavalcanti, Jim Woodcock, Frank Zeyda:
Unifying Semantic Foundations for Automated Verification Tools in Isabelle/UTP. - Nikolaos Pappas, James Henderson:
Deep Residual Output Layers for Neural Language Generation. - Barbora Buhnova, Dita Prikrylova:
Women Want to Learn Tech: Lessons from the Czechitas Education Project. - Gerco van Heerdt, Joshua Moerman, Matteo Sammartino, Alexandra Silva:
A (co)algebraic theory of succinct automata. - Yuxian Meng, Xiaoya Li, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li:
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? - Boris Bogaerts, Seppe Sels, Steve Vanlanduit, Rudi Penne:
Near-Optimal Path Planning for Complex Robotic Inspection Tasks. - Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li:
Entity-Relation Extraction as Multi-Turn Question Answering. - Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He:
Atom Responding Machine for Dialog Generation. - Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop:
Long-Run Average Behavior of Vector Addition Systems with States. - Maria Becker, Michael Staniek, Vivi Nastase, Anette Frank:
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting. - Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend:
The Language of Legal and Illegal Activity on the Darknet. - Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla:
Multilingual Factor Analysis. - Dongyun Liang, Guohua Wang, Jing Nie:
A Dynamic Evolutionary Framework for Timeline Generation based on Distributed Representations. - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
Efficient Computation of Hessian Matrices in TensorFlow. - Mirko Zichichi, Michele Contu, Stefano Ferretti, Gabriele D'Angelo:
LikeStarter: a Smart-contract based Social DAO for Crowdfunding. - Shufan Zhang, Hu Xiong:
Laocoön: Scalable and Portable Receipt-free E-voting Protocol without Untappable Channels. - Gorker Alp Malazgirt, Osman S. Unsal, Adrián Cristal Kestelman:
TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture. - Michael Orr, Oliver Sinnen:
Parallel and Memory-limited Algorithms for Optimal Task Scheduling Using a Duplicate-Free State-Space. - Hongyuan Mei, Guanghui Qin, Jason Eisner:
Imputing Missing Events in Continuous-Time Event Streams. - Albin Severinson, Eirik Rosnes, Alexandre Graell i Amat:
Coded Distributed Tracking. - Andreas Brandstädt, Raffaele Mosca:
Finding Dominating Induced Matchings in S1, 1, 5-Free Graphs in Polynomial Time. - Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang:
How to Fine-Tune BERT for Text Classification? - Aline Roc, Léa Pillette, Bernard N'Kaoua, Fabien Lotte:
Would Motor-Imagery based BCI user training benefit from more women experimenters? - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Selection Combining Scheme over Non-identically Distributed Fisher-Snedecor F Fading Channels. - Hailong Liu, Toshihiro Hiraoka, Takatsugu Hirayama, Dongmin Kim:
Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background. - Peter Bubenik, Alexander Wagner:
Embeddings of Persistence Diagrams into Hilbert Spaces. - Shi-Xiong Zhang, Yifan Gong, Dong Yu:
Encrypted Speech Recognition using Deep Polynomial Networks. - Maria Pittou, George Rahonis:
Weighted parametric systems: Modelling and architecture. - Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han:
A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. - Na Pang, Li Qian, Weimin Lyu, Jin-Dong Yang:
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model. - Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin:
Monocular 3D Object Detection via Geometric Reasoning on Keypoints. - Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang:
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. - Boyi Jiang, Juyong Zhang, Jianfei Cai, Jianmin Zheng:
Learning 3D Human Body Embedding. - Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin, Kyrre Glette:
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing. - Yang Du, Zhaoxia Yin, Xinpeng Zhang:
High Capacity Lossless Data Hiding for JPEG images by NLCM Relationship Constrcution. - Oluwashina Madamori, Esther Max-Onakpoya, Christan Grant, Corey E. Baker:
Using Delay Tolerant Networks as a Backbone for Low-cost Smart Cities. - Jean-Christophe Mourrat:
On the share of mathematics published by Elsevier and Springer. - Myungjae Shin, Joongheon Kim:
Randomized Adversarial Imitation Learning for Autonomous Driving. - Guangda Zang, Hei Victor Cheng, Ying Cui, Wei Liu, Feng Yang, Lianghui Ding, Hui Liu:
Low Complexity Algorithms for Robust Multigroup Multicast Beamforming. - Raphael Memmesheimer, Isabelle Kuhlmann, Mark Mints, Patrik Schmidt, Christian Korbach, Ida Germann, Dietrich Paulus:
Scratchy: A Lightweight Modular Autonomous Robot for Robotic Competitions. - Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. - Xingqian Li, Chenwei Lou, Jian Zhao, HuaPeng Wei, Hongwei Zhao:
"Tom" pet robot applied to urban autism. - Spyros Angelopoulos, Christoph Dürr, Shendan Jin, Shahin Kamali, Marc P. Renault:
Online Computation with Untrusted Advice. - Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. - Ivan Kreso, Josip Krapac, Sinisa Segvic:
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images. - Marcelo Finger:
Quantitative Logic Reasoning. - Julio-Omar Palacio-Niño, Fernando Berzal:
Evaluation Metrics for Unsupervised Learning Algorithms. - Christian Mai, Heinrich Hußmann:
A Qualitative Post-Experience Method for Evaluating Changes in VR Presence Experience Over Time. - Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva:
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. - Loïc Vial, Benjamin Lecouteux, Didier Schwab:
Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation. - Sushrut Karmalkar, Adam R. Klivans, Pravesh K. Kothari:
List-Decodable Linear Regression. - Xiang Lin, Shafiq R. Joty, Prathyusha Jwalapuram, Saiful Bari:
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing. - Tobias Harks, Anja Schedel:
Capacity and Price Competition in Markets with Congestion Effects. - Kartik Nagar, Suresh Jagannathan:
Automated Parameterized Verification of CRDTs. - Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei:
Network Pruning for Low-Rank Binary Indexing. - Vanesa Daza, Xavier Salleras:
LASER: Lightweight And SEcure Remote keyless entry protocol (Extended version). - Baohua Sun, Lin Yang, Michael Lin, Charles Young, Jason Dong, Wenhan Zhang, Patrick Dong:
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models. - Baris Baburoglu, Adem Tekerek, Mehmet Tekerek:
Development of Deep Learning Based Natural Language Processing Model for Turkish. - Waleed A. Yousef, Omar M. Ibrahime, Taha M. Madbouly, Moustafa A. Mahmoud:
Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis. - Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi:
Modeling user context for valence prediction from narratives. - Ben Peters, Vlad Niculae, André F. T. Martins:
Sparse Sequence-to-Sequence Models. - (Withdrawn) Using syntactical and logical forms to evaluate textual inference competence.
- Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas:
The relational processing limits of classic and contemporary neural network models of language processing. - Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. - Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. - Alessandro Umbrico:
Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice. - Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu:
Machine Learning at Microsoft with ML .NET. - Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Michael Schwarz, Claudio Canella, Lukas Giner, Daniel Gruss:
Store-to-Leak Forwarding: Leaking Data on Meltdown-resistant CPUs. - Michael Schwarz, Moritz Lipp, Daniel Moghimi, Jo Van Bulck, Julian Stecklina, Thomas Prescher, Daniel Gruss:
ZombieLoad: Cross-Privilege-Boundary Data Sampling. - Katerina Koutlia, Ramon Ferrús, Estefanía Coronado, Roberto Riggio, Ferran Casadevall, Anna Umbert, Jordi Pérez-Romero:
Design and Experimental Validation of a Software-Defined Radio Access Network Testbed with Slicing Support. - Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. - Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. - Nikhil Mehta, Lawrence Carin, Piyush Rai:
Stochastic Blockmodels meet Graph Neural Networks. - Ian Walker, Ben Glocker:
Graph Convolutional Gaussian Processes. - Lukas Mosser, Olivier Dubrule, Martin J. Blunt:
DeepFlow: History Matching in the Space of Deep Generative Models. - Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter:
Dashboard Mechanisms for Online Marketplaces. - Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov:
Learnable Triangulation of Human Pose. - Jingjing Fei, Shiliang Sun:
Online Anomaly Detection with Sparse Gaussian Processes. - Samarth Tripathi, Jiayi Liu, Unmesh Kurup, Mohak Shah:
Robust Neural Network Training using Periodic Sampling over Model Weights. - Shi Feng, Eric Wallace, Jordan L. Boyd-Graber:
Misleading Failures of Partial-input Baselines. - Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid, Tim Menzies:
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization. - Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez:
Combining Parametric and Nonparametric Models for Off-Policy Evaluation. - Alexey Turchin, Michael Batin, David Denkenberger, Roman Yampolskiy:
Simulation Typology and Termination Risks. - Qinheping Hu, Jason Breck, John Cyphert, Loris D'Antoni, Thomas W. Reps:
Proving Unrealizability for Syntax-Guided Synthesis. - Olivier Carton, Joseph Vandehey:
Preservation of normality by non-oblivious group selection. - Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Cameron Browne:
Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates. - Ilyasse Belkacem, Isabelle Pecci, Benoît Martin:
Pointing task on smart glasses: Comparison of four interaction techniques. - Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. - Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh:
Curriculum Learning for Domain Adaptation in Neural Machine Translation. - Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. - Yujia Chen, Yang Lou, Kun Wang, Matthew A. Kupinski, Mark A. Anastasio:
Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference. - Yichen Li, Dobroslav Tsonev, Harald Haas:
Performance Analysis of Non-DC-Biased OFDM. - Michael Oberst, David A. Sontag:
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models. - Miguel Mendoza, Juan Irving Vasquez-Gomez, Hind Taud, Luis Enrique Sucar, Carolina Reta:
Supervised Learning of the Next-Best-View for 3D Object Reconstruction. - Pablo Moriano, Raquel Hill, L. Jean Camp:
Using Bursty Announcements for Early Detection of BGP Routing Anomalies. - Ilya Amburg, Jon M. Kleinberg, Austin R. Benson:
Planted Hitting Set Recovery in Hypergraphs. - Yanli Liu, Chu-Min Li, Hua Jiang, Kun He:
A Learning based Branch and Bound for Maximum Common Subgraph Problems. - Siavash Golkar, Kyunghyun Cho:
Task-Driven Data Verification via Gradient Descent. - Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Zhe He:
Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. - Sarah McRoberts, Joshua Wissbroecker, Ruotong Wang, F. Maxwell Harper:
Exploring Interactions with Voice-Controlled TV. - Pratik Gajane, Ronald Ortner, Peter Auer:
Variational Regret Bounds for Reinforcement Learning. - Marco Coraggio, Pietro De Lellis, Mario di Bernardo:
Achieving Convergence and Synchronization in Networks of Piecewise-Smooth Systems via Distributed Discontinuous Coupling. - Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj:
Nonlinear Semi-Parametric Models for Survival Analysis. - Anne Greenbaum, Hexuan Liu, Tyler Chen:
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. - Wilson Lau, Thomas H. Payne, Özlem Uzuner, Meliha Yetisgen:
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset. - Miriam Bellver, Amaia Salvador, Jordi Torres, Xavier Giró-i-Nieto:
Budget-aware Semi-Supervised Semantic and Instance Segmentation. - Diego Marrón, Eduard Ayguadé, José Ramon Herrero, Albert Bifet:
Resource-aware Elastic Swap Random Forest for Evolving Data Streams. - Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf:
Kernel Mean Matching for Content Addressability of GANs. - Youhei Akimoto, Nikolaus Hansen:
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. - Christoph Salge, Christian Guckelsberger, Michael Cerny Green, Rodrigo Canaan, Julian Togelius:
Generative Design in Minecraft: Chronicle Challenge. - Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun:
DARNet: Deep Active Ray Network for Building Segmentation. - Adwan Alownie Alanazi, Muhammad Bilal:
Crowd Density Estimation using Novel Feature Descriptor. - Ahmad Khaled Zarabie, Sanjoy Das:
Pareto-Optimal Allocation of Transactive Energy at Market Equilibrium in Distribution Systems: A Constrained Vector Optimization Approach. - Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James:
Online Normalization for Training Neural Networks. - Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind:
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. - Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
Threats on Logic Locking: A Decade Later. - Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. - P. Balasubramanian, Douglas L. Maskell:
Indicating Asynchronous Array Multipliers. - Jianpeng Ma, Shun Zhang, Hongyan Li, Feifei Gao, Zhu Han:
Time-Varying Downlink Channel Tracking for Quantized Massive MIMO Networks. - Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato:
Task-Driven Modular Networks for Zero-Shot Compositional Learning. - Sam Lindley, Gabriel Scherer:
Proceedings ML Family / OCaml Users and Developers workshops, ML/OCaml 2017, Oxford, UK, 7th September 2017. EPTCS 294, 2019 [contents] - Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Passage Ranking with Weak Supervsion. - Jian Wang, Chen Xu, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang:
Deep Reinforcement Learning for Scheduling in Cellular Networks. - Guanghui Wang, Shiyin Lu, Lijun Zhang:
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. - David Laredo, Zhaoyin Chen, Oliver Schütze, Jian-Qiao Sun:
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems. - Zhiyuan Wang, Lin Gao, Jianwei Huang:
Multi-Cap Optimization for Wireless Data Plans with Time Flexibility. - Haoran Niu, Jiangnan Li, Yu Zhao:
SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning. - Hongyu Yang, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Connectivity-Aware UAV Path Planning with Aerial Coverage Maps. - Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha:
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. - Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang:
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. - Kui Jia, Shuai Li, Yuxin Wen, Tongliang Liu, Dacheng Tao:
Orthogonal Deep Neural Networks. - Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. - Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor:
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations. - Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng:
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections. - Sergio Trejo, Karla Martinez, Gerardo Flores:
Depth map estimation methodology for detecting free-obstacle navigation areas. - Zongliang Li, Chi Zhang, Gaofeng Meng, Yuehu Liu:
Joint haze image synthesis and dehazing with mmd-vae losses. - Ian Tenney, Dipanjan Das, Ellie Pavlick:
BERT Rediscovers the Classical NLP Pipeline. - Subhabrata Mukherjee, Stephan Günnemann:
GhostLink: Latent Network Inference for Influence-aware Recommendation. - Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu:
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Mohammad Movahednasab, Behrooz Makki, Naeimeh Omidvar, Mohammad Reza Pakravan, Tommy Svensson, Michele Zorzi:
An Energy-Efficient Controller for Wirelessly-Powered Communication Networks. - Zijian Wang, Scott A. Hale, David Ifeoluwa Adelani, Przemyslaw A. Grabowicz, Timo Hartmann, Fabian Flöck, David Jurgens:
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. - Heming Zhang, Xiaolong Wang, C.-C. Jay Kuo:
Deep Kinship Verification via Appearance-shape Joint Prediction and Adaptation-based Approach. - Jonathon Schwartz, Hanna Kurniawati:
Autonomous Penetration Testing using Reinforcement Learning. - Bohua Zhan:
holpy: Interactive Theorem Proving in Python. - Salessawi Ferede Yitbarek, Todd M. Austin:
Neverland: Lightweight Hardware Extensions for Enforcing Operating System Integrity. - Elena Voita, Rico Sennrich, Ivan Titov:
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. - Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation. - Jiacheng Wu, Yong Zhang, Jin Wang, Chunbin Lin, Yingjia Fu, Chunxiao Xing:
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling. - Simon D. Duque Antón, Mathias Strufe, Hans Dieter Schotten:
Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection. - Nicolas Jullien, Klaas-Jan Stol, James D. Herbsleb:
A Preliminary Theory for Open Source Ecosystem Micro-economics. - Nana Wang, Li Cui, Xi Huang, Yingcong Xiang, Jing Xiao, Yi Rao:
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction. - Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo:
Deep reinforcement learning for scheduling in large-scale networked control systems. - Tongyu Dai, Xinggong Zhang, Yihang Zhang, Zongming Guo:
Statistical Learning Based Congestion Control for Real-time Video Communication. - Matteo Romiti, Aljosha Judmayer, Alexei Zamyatin, Bernhard Haslhofer:
A Deep Dive into Bitcoin Mining Pools: An Empirical Analysis of Mining Shares. - Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Dietrich Paulus:
Simitate: A Hybrid Imitation Learning Benchmark. - David Laredo, Yulin Qin, Oliver Schütze, Jian-Qiao Sun:
Automatic Model Selection for Neural Networks. - Chris Whitmire, Brij Rokad, Caleb Crumley:
Origami Inspired Solar Panel Design. - Lukas Galke, Iacopo Vagliano, Ansgar Scherp:
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. - Siddhartha S. Borkotoky, Udo Schilcher, Christian Bettstetter:
Cooperative Relaying in LoRa Sensor Networks. - Bin Cao, Yixin Li, Lei Zhang, Long Zhang, Shahid Mumtaz, Zhenyu Zhou, Mugen Peng:
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus. - Brij Rokad, Tushar Karumudi, Omkar Acharya, Akshay Jagtap:
Survival of the Fittest in PlayerUnknown BattleGround. - Vagan Y. Terziyan, Anton Nikulin:
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning. - Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots. - Timur Sokhin, Nikolay Butakov, Denis A. Nasonov:
User profiles matching for different social networks based on faces embeddings. - Siu-Wing Cheng, Yuchen Mao:
Restricted Max-Min Allocation: Approximation and Integrality Gap. - Guy Goren, Yoram Moses:
Byzantine Consensus in the Common Case. - Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran:
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. - José Rui Figueira, Salvatore Greco, Bernard Roy:
Electre-Score: A first outranking based method for scoring actions. - Chun-Hung Liu, Kai-Hsiang Ho, Jwo-Yuh Wu:
MmWave UAV Networks with Multi-cell Association: Performance Limit and Optimization. - Christian Mai, Alexander Knittel, Heinrich Hußmann:
Frontal Screens on Head-Mounted Displays to Increase Awareness of the HMD Users' State in Mixed Presence Collaboration. - Shangyuan Li, Li Feng, Deqiang Gan, Zhen Wang, Wei Bao, Hao Xu:
Closed Loop Load Model Identification Using Small Disturbance Data. - Stepan G. Margaryan:
About a certain NP complete problem. - Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. - Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft:
A New Anchor Word Selection Method for the Separable Topic Discovery. - T. H. H. Duong, T. D. Vu, Vuong Minh Ngo:
Detecting Vietnamese Opinion Spam. - Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras:
Human Motion Trajectory Prediction: A Survey. - Vuong Minh Ngo:
Semantic Search using Spreading Activation based on Ontology. - Jiangning Chen, Zhibo Dai, Juntao Duan, Heinrich Matzinger, Ionel Popescu:
Naive Bayes with Correlation Factor for Text Classification Problem. - Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. - David Hofbauer, Igor Ivkic, Silia Maksuti, Andreas Aldrian, Markus Tauber:
On the Cost of Security Compliance in Information Systems. - Igor Ivkic, Andreas Mauthe, Markus Tauber:
Towards a Security Cost Model for Cyber-Physical Systems. - Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu:
Distributional Reinforcement Learning for Efficient Exploration. - Nadia Fawaz:
Recommending Dream Jobs in a Biased Real World. - Jarkko Peltomäki:
Abelian periods of factors of Sturmian words. - Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun:
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning. - Giacomo Vaccario, Luca Verginer, Frank Schweitzer:
The Mobility Network of Scientists: Analyzing Temporal Correlations in Scientific Careers. - Simon Docherty, Reuben N. S. Rowe:
A Non-wellfounded, Labelled Proof System for Propositional Dynamic Logic. - Ruben Grandia, Farbod Farshidian, René Ranftl, Marco Hutter:
Feedback MPC for Torque-Controlled Legged Robots. - Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. - Lizheng Ma, Jiaxu Cui, Bo Yang:
Deep Neural Architecture Search with Deep Graph Bayesian Optimization. - George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas:
A Survey of Blocking and Filtering Techniques for Entity Resolution. - Alessandro Berti, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science. - Vasilis Efthymiou, George Papadakis, Kostas Stefanidis, Vassilis Christophides:
MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities. - Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features. - Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. - Simon Marynissen:
Extensions to Justification Theory. - Yifan Yang, Daniel Cooper, John P. Collomosse, Constantin Catalin Dragan, Mark Manulis, Jamie Steane, Arthi Manohar, Jo Briggs, Helen S. Jones, Wendy Moncur:
TAPESTRY: A Blockchain based Service for Trusted Interaction Online. - Yakoub Nemouchi, Simon Foster, Mario Gleirscher, Tim Kelly:
Mechanised Assurance Cases with Integrated Formal Methods in Isabelle. - Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Dual Supervised Learning for Natural Language Understanding and Generation. - Mohammad Mahdi Dehshibi, Gerard Pons, Bita Baiani, David Masip:
VICSOM: VIsual Clues from SOcial Media for psychological assessment. - Michael Borkowski, Marten Sigwart, Philipp Frauenthaler, Taneli Hukkinen, Stefan Schulte:
DeXTT: Deterministic Cross-Blockchain Token Transfers. - Alexandru-Sabin Bana, Elisabeth de Carvalho, Beatriz Soret, Taufik Abrão, José Carlos Marinello Filho, Erik G. Larsson, Petar Popovski:
Massive MIMO for Internet of Things (IoT) Connectivity. - William W. Cohen, Matthew Siegler, R. Alex Hofer:
Neural Query Language: A Knowledge Base Query Language for Tensorflow. - Meng Qu, Yoshua Bengio, Jian Tang:
GMNN: Graph Markov Neural Networks. - David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law, Jin Myung Park:
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions. - Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. - Andreas Thoma, Sridhar Ravi:
Significance of parallel computing on the performance of Digital Image Correlation algorithms in MATLAB. - Josef B. Spjut, Ben Boudaoud, Jonghyun Kim, Trey Greer, Rachel A. Albert, Michael Stengel, Kaan Aksit, David Luebke:
Toward Standardized Classification of Foveated Displays. - Pedro Mercado, Francesco Tudisco, Matthias Hein:
Spectral Clustering of Signed Graphs via Matrix Power Means. - Yueh-Tung Chen, Martin Garbade, Juergen Gall:
3D Semantic Scene Completion from a Single Depth Image using Adversarial Training. - Horatiu Cirstea, Pierre-Etienne Moreau:
Generic Encodings of Constructor Rewriting Systems. - Karan Aggarwal, Uday Bondhugula, Varsha Sreenivasan, Devarajan Sridharan:
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems. - Palwasha W. Shaikh, Issam W. Damaj:
Analysis of Pipelined KATAN Ciphers under Handle-C for FPGAs. - Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. - Antonios Makris:
Implementation of functions in R tool in parallel environment. - Jian Weng, Vidushi Dadu, Tony Nowatzki:
Exploiting Fine-Grain Ordered Parallelism in Dense Matrix Algorithms. - Ben Bogin, Matt Gardner, Jonathan Berant:
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. - Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. - Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra:
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. - Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. - Cristiano Saltori, Subhankar Roy, Nicu Sebe, Giovanni Iacca:
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search. - Pengfei Li, Yu Hua, Pengfei Zuo, Jingnan Jia:
A Scalable Learned Index Scheme in Storage Systems. - Padraig Corcoran:
Function Space Pooling For Graph Convolutional Networks. - Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin:
SMART: Semantic Malware Attribute Relevance Tagging. - Martin J. Wainwright:
Stochastic approximation with cone-contractive operators: Sharp 𝓁∞-bounds for Q-learning. - Weiqing Min, Shuqiang Jiang, Ramesh C. Jain:
Food Recommendation: Framework, Existing Solutions and Challenges. - Narendra Patwardhan, Zequn Wang:
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction. - Hisham S. Galal, Amr M. Youssef:
Trustee: Full Privacy Preserving Vickrey Auction on top of Ethereum. - Rongzhi Gu, Jian Wu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
End-to-End Multi-Channel Speech Separation. - Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez:
Output-Constrained Bayesian Neural Networks. - Kory W. Mathewson:
A Human-Centered Approach to Interactive Machine Learning. - Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz:
A Surprisingly Robust Trick for Winograd Schema Challenge. - Dong Wook Shu, Sung Woo Park, Junseok Kwon:
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. - Juho Lauri, Christodoulos Mitillos:
Perfect Italian domination on planar and regular graphs. - Yichen Li, Majid Safari, Robert K. Henderson, Harald Haas:
Performance Analysis of SPAD-based OFDM. - Per Skarin, Johan Eker, Maria Kihl, Karl-Erik Årzén:
An assisting Model Predictive Controller approach to Control over the Cloud. - JianMing Zhou, Yu Li:
Inquiry of P-reduction in Cook's 1971 Paper - from Oracle machine to Turing machine. - Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian, Matthew Chin Heng Chua, Li Chen, Xin Xu:
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading. - Insik Yoon, Malik Aqeel Anwar, Titash Rakshit, Arijit Raychowdhury:
Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones. - Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick:
What do you learn from context? Probing for sentence structure in contextualized word representations. - Shijie Wu, Ryan Cotterell:
Exact Hard Monotonic Attention for Character-Level Transduction. - Xuaner Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng:
Synthetic Defocus and Look-Ahead Autofocus for Casual Videography. - Huai-Yu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu:
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. - Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin:
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction. - Junlin Zhang, Tongwen Huang, Zhiqi Zhang:
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine. - Oriane Siméoni, Yannis Avrithis, Ondrej Chum:
Local Features and Visual Words Emerge in Activations. - Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. - Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu:
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. - Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu:
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. - Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian:
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. - Shay Maymon, Hila Barel:
Contrast Optimization And Local Adaptation (COALA) for HDR Compression. - Ahmed Khalifa, Daniel Gopstein, Julian Togelius:
ELIMINATION from Design to Analysis. - Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection. - Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-agnostic Progressive Entity Resolution (extended version). - Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Marcelino Almeida, Kayvan Mansoorshahi, Aleksandra Faust, Vijay Janapa Reddi:
MAVBench: Micro Aerial Vehicle Benchmarking. - Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies:
Predicting Breakdowns in Cloud Services (with SPIKE). - Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz:
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. - Manuel Fernandez, David P. Woodruff, Taisuke Yasuda:
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering. - Amir Alipour-Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng:
Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. - Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis:
End-to-End Entity Resolution for Big Data: A Survey. - Grzegorz Chrupala, Afra Alishahi:
Correlating neural and symbolic representations of language. - Bence Cserna, Kevin C. Gall, Wheeler Ruml:
Improved Safe Real-time Heuristic Search. - Nemi Chandra Rathore, Somanath Tripathy:
InfoRest: Restricting Privacy Leakage to Online Social Network App. - Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. - Mathieu Ritou, Farouk Belkadi, Zakaria Yahouni, Catherine Da Cunha, Florent Laroche, Benoît Furet:
Knowledge-based multi-level aggregation for decision aid in the machining industry. - Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson:
Ethically Aligned Design: An empirical evaluation of the RESOLVEDD-strategy in Software and Systems development context. - Mengshuo Jia, Chen Shen, Zhaojian Wang:
A Distributed Privacy-preserving Incremental Update Algorithm for Probability Distribution of Wind Power Forecast Error. - Victor Cook, Christina L. Peterson, Zachary Painter, Damian Dechev:
Quantifiability: Concurrent Correctness from First Principles. - Jan Humplik, Alexandre Galashov, Leonard Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess:
Meta reinforcement learning as task inference. - Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi:
An Empirical Analysis of Deep Learning for Cardinality Estimation. - José de Jesús Rubio, Francisco Jacob Ávila, Adolfo Meléndez, Juan Manuel Stein-Carrillo, Jesús Alberto Meda-Campaña, Carlos Aguilar Ibáñez:
Classification via an Embedded Approach. - Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. - Khavee Agustus Botangen, Jian Yu, Sira Yongchareon, Liang Huai Yang, Quan Bai:
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling. - Khavee Agustus Botangen, Jian Yu, Michael Sheng:
Towards Measuring the Adaptability of an AO4BPEL Process. - Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
Fluorescence Image Histology Pattern Transformation using Image Style Transfer. - Nathaniel Tucker, Bryce L. Ferguson, Mahnoosh Alizadeh:
An Online Pricing Mechanism for Electric Vehicle Parking Assignment and Charge Scheduling. - Andrew Stanton, Akhila Ananthram, Congzhe Su, Liangjie Hong:
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces. - Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin:
On Norm-Agnostic Robustness of Adversarial Training. - Emily Evans, Marissa Graham:
An interdisciplinary survey of network similarity methods. - Xiao Chen, Zhi-Gang Jia, Yunfeng Cai, Mei-Xiang Zhao:
Relaxed 2-D Principal Component Analysis by Lp Norm for Face Recognition. - Hung Dang, Ee-Chien Chang:
Autonomous Membership Service for Enclave Applications. - Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan:
Data Markets to support AI for All: Pricing, Valuation and Governance. - Alimire Nabijiang, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Qun Liu:
Why do you take that route? - Jasper S. Wijnands, Kerry A. Nice, Jason Thompson, Haifeng Zhao, Mark Stevenson:
Streetscape augmentation using generative adversarial networks: insights related to health and wellbeing. - Kira Kempinska, Roberto Murcio:
Modelling urban networks using Variational Autoencoders. - Wang Chi Cheung:
Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards. - Nathaniel Tucker, Mahnoosh Alizadeh:
An Online Admission Control Mechanism for Electric Vehicles at Public Parking Infrastructures. - Murat Cubuktepe, Nils Jansen, Mohammed Alshiekh, Ufuk Topcu:
Synthesis of Provably Correct Autonomy Protocols for Shared Control. - Gustavo Kasper Facenda, Danilo Silva:
Efficient Scheduling for the Massive Random Access Gaussian Channel. - Rafael S. Gonçalves, Martin J. O'Connor, Marcos Martínez Romero, Attila L. Egyedi, Debra Willrett, John Graybeal, Mark A. Musen:
The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments. - Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. - Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey W. Arnold:
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. - Wesam Eid, Marius-Calin Silaghi:
Speeding Up Elliptic Curve Multiplication with Mixed-base Representation for Applications to SIDH Ciphers. - Fang Liu, Ness B. Shroff:
Data Poisoning Attacks on Stochastic Bandits. - Jake Silverman, Zachary Kincaid:
Loop Summarization with Rational Vector Addition Systems (extended version). - Bingguo Mu, Pakpong Chirarattananon:
Trajectory Generation for Underactuated Multirotor Vehicles with Tilted Propellers via a Flatness-based Method. - Chengcheng Li, Zi Wang, Dali Wang, Xiangyang Wang, Hairong Qi:
Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study. - Chi Zhang, Yuehu Liu, Ying Wu, Qilin Zhang, Le Wang:
Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair. - Kyoungjun Park, Myungchul Kim:
EVSO: Environment-aware Video Streaming Optimization of Power Consumption. - (Withdrawn) Parameterized Inapproximability of Exact Cover and Nearest Codeword.
- Tryphon T. Georgiou, Faryar Jabbari, Malcolm C. Smith:
Principles of lossless adjustable one-ports. - Yao Luo, Xiaoguang Tu, Mei Xie:
Learning Robust 3D Face Reconstruction and Discriminative Identity Representation. - Tae Joon Jun, Youngsub Eom, Dohyeun Kim, Cherry Kim, Ji-Hye Park, Hoang Minh Nguyen, Daeyoung Kim:
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. - Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang:
Incorporating Sememes into Chinese Definition Modeling. - Aixian Zhang, Keqin Feng:
An Unified Approach on Constructing of MDS Self-dual Codes via Reed-Solomon Codes. - Ziqiang Zheng, Yang Wu, Zhibin Yu, Yang Yang, Haiyong Zheng, Takeo Kanade:
ReshapeGAN: Object Reshaping by Providing A Single Reference Image. - Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang:
Efficient hinging hyperplanes neural network and its application in nonlinear system identification. - Dumitrel Loghin, Gang Chen, Tien Tuan Anh Dinh, Beng Chin Ooi, Yong Meng Teo:
Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes. - Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li:
Joint Learning of Neural Networks via Iterative Reweighted Least Squares. - Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang:
Meta Reinforcement Learning with Task Embedding and Shared Policy. - Roni Permana Saputra:
Implementation 2D EKF-Based Simultaneous Localisation and Mapping for Mobile Robot. - Emre Yilmaz, Vikramjit Mitra, Ganesh Sivaraman, Horacio Franco:
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech. - Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu:
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network. - (Withdrawn) A Non-Intrusive Method of Face Liveness Detection Using Specular Reflection and Local Binary Patterns.
- Runhang Li, Jeremy Yallop:
Extending OCaml's 'open'. 1-14 - Oleg Kiselyov:
Effects Without Monads: Non-determinism - Back to the Meta Language. 15-40 - John G. Whitington, Tom Ridge:
Direct Interpretation of Functional Programs for Debugging. 41-73 - Jeremy Yallop, Stephen Dolan:
First-Class Subtypes. 74-85 - Sung Whan Yoon, Jun Seo, Jaekyun Moon:
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. - Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka:
Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. - Chanchal Suman, Somanath Tripathy, Sriparna Saha:
Building an Effective Intrusion Detection System using Unsupervised Feature Selection in Multi-objective Optimization Framework. - Xingxing Zhang, Furu Wei, Ming Zhou:
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. - Jiaying Liu, Sifeng Xia, Wenhan Yang:
Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction. - Javier Hernandez-Ortega, Shigenori Nagae, Julian Fiérrez, Aythami Morales:
Quality-based Pulse Estimation from NIR Face Video with Application to Driver Monitoring. - Hongnian Wang, Han Su:
STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction. - Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch:
On Conditioning GANs to Hierarchical Ontologies. - Qiong Wu, Yong Liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang:
Recent Advances in Diversified Recommendation. - José A. R. Fonollosa, Noe Casas, Marta R. Costa-jussà:
Joint Source-Target Self Attention with Locality Constraints. - Xiuyu Wu, Yunfang Wu:
A Simple Dual-decoder Model for Generating Response with Sentiment. - Gustav Eje Henter, Simon Alexanderson, Jonas Beskow:
MoGlow: Probabilistic and controllable motion synthesis using normalising flows. - Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. - Sergio Bezzecchi, Paolo Crisafulli, Charlotte Pichot, Burkhart Wolff:
Making Agile Development Processes fit for V-style Certification Procedures. - Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks. - Hai Dinh-Tuan, Felix Beierle, Sandro Rodriguez Garzon:
MAIA: A Microservices-based Architecture for Industrial Data Analytics. - Frances Cooper, David F. Manlove:
Two-sided profile-based optimality in the stable marriage problem. - Xiaowei Huang, Marta Kwiatkowska, Maciej Olejnik:
Reasoning about Cognitive Trust in Stochastic Multiagent Systems. - Seungyong Moon, Gaon An, Hyun Oh Song:
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. - Menouar Boulif:
Heterogeneous Parallel Genetic Algorithm Paradigm. - Alon Rozental, Zohar Kelrich, Daniel Fleischer:
Latent Universal Task-Specific BERT. - Lumin Liu, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Edge-Assisted Hierarchical Federated Learning with Non-IID Data. - Tran Thi Ngoc Thao, Nguyen Ngoc Kim Lien, Vuong Minh Ngo:
Machine Learning based English Sentiment Analysis. - P. T. Nguyen, L. T. Le, Vuong Minh Ngo, P. M. Nguyen:
Using Entity Relations for Opinion Mining of Vietnamese Comments. - Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang:
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How. - Laura Aina, Carina Silberer, Matthijs Westera, Ionut-Teodor Sorodoc, Gemma Boleda:
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue. - Rui-Xiao Zhang, Tianchi Huang, Chenglei Wu, Lifeng Sun:
Reactive Video Caching via long-short-term fusion approach. - Mohamed Afifi, Yara Ali, Karim Amer, Mahmoud Shaker, Mohamed ElHelw:
Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2. - Joongbo Shin, Yoonhyung Lee, Kyomin Jung:
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition. - Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao:
One-Shot Texture Retrieval with Global Context Metric. - Guoguang Du, Kai Wang, Shiguo Lian:
Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review. - Achim Blumensath, Felix Wolf:
Bisimulation Invariant Monadic-Second Order Logic in the Finite. - Baran Tan Bacinoglu, Yin Sun, Elif Uysal-Biyikoglu, Volkan Mutlu:
Optimal Status Updating with a Finite-Battery Energy Harvesting Source. - Hao Wu, Xiangrong Xu, Wenbin Gao:
Uneven illumination surface defects inspection based on convolutional neural network. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation. - Steffen Haas, Florian Wilkens, Mathias Fischer:
Efficient Attack Correlation and Identification of Attack Scenarios based on Network-Motifs. - Habibul Islam, Om Prakash:
On ZpZp[u, v]-additive cyclic and constacyclic codes. - Zhiyuan Wang, Lin Gao, Jianwei Huang, Biying Shou:
Economic Viability of Data Trading with Rollover. - Thomas Bläsius, Tobias Friedrich, Maximilian Katzmann, Ulrich Meyer, Manuel Penschuck, Christopher Weyand:
Efficiently Generating Geometric Inhomogeneous and Hyperbolic Random Graphs. - Jessica Schrouff, Kai Wohlfahrt, Bruno Marnette, Liam Atkinson:
Inferring Javascript types using Graph Neural Networks. - Elisabeth Bauer, Oliver Schluga, Silia Maksuti, Ani Bicaku, David Hofbauer, Igor Ivkic, Markus Tauber, Alexander Wöhrer:
Towards a Security Baseline for IaaS-Cloud Back-Ends in Industry 4.0. - Igor Ivkic, Stephan Wolfauer, Thomas Oberhofer, Markus Tauber:
On the Cost of Cyber Security in Smart Business. - Hege Haavaldsen, Max Aasbø, Frank Lindseth:
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments. - Abdulelah Abuabat, Steven Johnston, Mohammed Aldosari, Taylor Neal:
Homegrown Governments: Visualizing Regional Governance in the United States. - Antoine Flepp, Julie Dugdale, Fabrice Bourge, Tiphaine Marie-Cardot:
A Method to Discover Digital Collaborative Conversations in Business Collaborations. - Xavier Favory, Xavier Serra:
Multi Web Audio Sequencer: Collaborative Music Making. - Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. - Yan Wu, Mihaela Rosca, Timothy P. Lillicrap:
Deep Compressed Sensing. - Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. - Maryam Bagheri, Marjan Sirjani, Ehsan Khamespanah, Ali Movaghar:
A Compositional Approach for Reliable Adaptation of Track-based Traffic Control Systems at Runtime. - Bestoun S. Ahmed:
Generating Pairwise Combinatorial Interaction Test Suites Using Single Objective Dragonfly Optimisation Algorithm. - Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma, Jin Tang:
RGB-T Image Saliency Detection via Collaborative Graph Learning. - Said Ghoul:
A Road to Bio-inspired Software Engineering. - Yaoyi Li, Jianfu Zhang, Weijie Zhao, Hongtao Lu:
Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices. - Chungkwong Chan:
Stroke extraction for offline handwritten mathematical expression recognition. - Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris:
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. - Lucas Lersch, Wolfgang Lehner, Ismail Oukid:
Persistent Buffer Management with Optimistic Consistency. - Glib Shchur, Nataliya Shakhovska:
Smartphone app with usage of AR technologies - SolAR System. - Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Learning Visually Consistent Label Embeddings for Zero-Shot Learning. - Xiaorui Zhu, Chen Liang, Zhen-guo Yin, Zhong Shao, Meng-qi Liu, Hao Chen:
A New Hierarchical Software Architecture Towards Safety-Critical Aspects of a Drone System. - Guangrui Xie, Xi Chen, Yang Weng:
Input Modeling and Uncertainty Quantification for Improving Volatile Residential Load Forecasting. - Yi-Fan Song, Zhang Zhang, Liang Wang:
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons. - Igor Ivkic, Alexander Wöhrer, Markus Tauber:
Towards Comparing Programming Paradigms. - Waren Long, Vadim Markovtsev, Hugo Mougard, Egor Bulychev, Jan Hula:
Identifying collaborators in large codebases. - Jurek Czyzowicz, Konstantinos Georgiou, Ryan Killick, Evangelos Kranakis, Danny Krizanc, Manuel Lafond, Lata Narayanan, Jaroslav Opatrny, Sunil M. Shende:
Time-Energy Tradeoffs for Evacuation by Two Robots in the Wireless Model. - Johann Sawatzky, Debayan Banerjee, Juergen Gall:
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation. - Mohsen Annabestani, Mahshid Nasserian, Fatemeh Hasanzadeh, Mohammad Taherzadeh-Sani, Alireza Hassanzadeh:
An Algebraic Approach to Fast Estimation of the Threshold Voltage of Junctionless Double Gate MOSFETs Using the Gram Schmidt Method. - Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min, Guodong Guo, Patrick Le Callet:
GazeGAN: A Generative Adversarial Saliency Model based on Invariance Analysis of Human Gaze During Scene Free Viewing. - Paolo Galluzzi, Edoardo Longo, Alessandro E. C. Redondi, Matteo Cesana:
Occupancy Estimation Using Low-Cost Wi-Fi Sniffers. - Parnian Ghasemi, Shibin Lin, Derrick K. Rollins, R. Christopher Williams:
Predicting Dynamic Modulus of Asphalt Mixture Using Data Obtained from Indirect Tension Mode of Testing. - Alexander M. Linkov:
Modern theory of hydraulic fracture modeling with using explicit and implicit schemes. - Guan Wang, Hamid Laga, Jinyuan Jia, Stanley J. Miklavcic, Anuj Srivastava:
Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots. - Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black:
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision. - Koen Dercksen, Wouter Bulten, Geert Litjens:
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification. - Xuan Guo, Robert D. Mullins:
Fast TLB Simulation for RISC-V Systems. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
Towards Interlingua Neural Machine Translation. - Karthik Abinav Sankararaman, Anand Louis, Navin Goyal:
Stability of Linear Structural Equation Models of Causal Inference. - Vadim Fomin, Daria Bakshandaeva, Julia Rodina, Andrey Kutuzov:
Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines. - Alexandros Nikou, Shahab Heshmati-Alamdari, Dimos V. Dimarogonas:
Design and Experimental Validation of Tube-based MPC for Timed-constrained Robot Planning. - Safaa J. Kasbah, Ramzi A. Haraty, Issam W. Damaj:
Reconfigurable Hardware Implementation of the Successive Overrelaxation Method. - Friso H. Kingma, Pieter Abbeel, Jonathan Ho:
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. - John L. Singleton, Gary T. Leavens, Hridesh Rajan, David R. Cok:
Inferring Concise Specifications of APIs. - Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose:
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining. - Marten Sigwart, Michael Borkowski, Marco Peise, Stefan Schulte, Stefan Tai:
Blockchain-based Data Provenance for the Internet of Things. - Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein, Viet Hung Nguyen:
An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners. - Farzad Eskandanian, Bamshad Mobasher:
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. - Mario Coccia:
Artificial intelligence technology in oncology: a new technological paradigm. - Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Better Security Bug Report Classification via Hyperparameter Optimization. - Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie:
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. - Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou:
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba. - Kit T. Rodolfa, Adolfo De Unánue, Matt Gee, Rayid Ghani:
A Clinical Approach to Training Effective Data Scientists. - Jessica Morley, Luciano Floridi, Libby Kinsey, Anat Elhalal:
From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices. - Chen Qian, Lijie Wen, Akhil Kumar:
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking. - Felix Petersen, Christian Borgelt, Oliver Deussen:
AlgoNet: C∞ Smooth Algorithmic Neural Networks. - Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau:
Leveraging exploration in off-policy algorithms via normalizing flows. - Ahad N. Zehmakan, Serge Galam:
Fake news and rumors: a trigger for proliferation or fading away. - Ahad N. Zehmakan, Jerri Nummenpalo, Alexander Pilz, Daniel Wolleb-Graf:
Switches in Eulerian graphs. - Ahad N. Zehmakan:
Target Set in Threshold Models. - Fabien André, Anne-Marie Kermarrec, Nicolas Le Scouarnec:
Derived Codebooks for High-Accuracy Nearest Neighbor Search. - Avinash Madasu, Vijjini Anvesh Rao:
Gated Convolutional Neural Networks for Domain Adaptation. - Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu:
Learning discriminative features in sequence training without requiring framewise labelled data. - Derek Weitzel, Marián Zvada, Ilija Vukotic, Robert W. Gardner, Brian Bockelman, Mats Rynge, Edgar Fajardo Hernandez, Brian Lin, Matyas Selmeci:
StashCache: A Distributed Caching Federation for the Open Science Grid. - Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg:
Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series. - Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu:
Fooling Computer Vision into Inferring the Wrong Body Mass Index. - Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. - Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker:
On Variational Bounds of Mutual Information. - Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. - Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. - Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. - Wei-Ting Chang, Ravi Tandon:
Random Sampling for Distributed Coded Matrix Multiplication. - Valentin Wüstholz, Maria Christakis:
Harvey: A Greybox Fuzzer for Smart Contracts. - Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. - Fernando Paganini, Enrique Mallada:
Global analysis of synchronization performance for power systems: bridging the theory-practice gap. - Ítalo A. S. Assis, João B. Fernandes, Tiago Barros, Samuel Xavier de Souza:
Auto-tuning of dynamic load balancing applied to 3D reverse time migration on multicore systems. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems. - Vijay Anand, Vivek Kanhangad:
PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint Recognition. - Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim:
Efficient Deep Gaussian Process Models for Variable-Sized Input. - Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin:
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. - Ahmad Abdellatif, Emad Shihab:
MSRBot: Using Bots to Answer Questions from Software Repositories. - Diane Hosfelt:
Making ethical decisions for the immersive web. - Tuhin Chakrabarty, Christopher Hidey, Kathleen R. McKeown:
IMHO Fine-Tuning Improves Claim Detection. - Oren Melamud, Chaitanya Shivade:
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models. - Tom van Dijk, Guido C. H. E. de Croon:
How do neural networks see depth in single images? - Alex Beatson, Ryan P. Adams:
Efficient Optimization of Loops and Limits with Randomized Telescoping Sums. - Bahareh Abbasi, Ehsan Noohi, Sina Parastegari, Milos Zefran:
Understanding of Object Manipulation Actions Using Human Multi-Modal Sensory Data. - Philipp Frauenthaler, Michael Borkowski, Stefan Schulte:
A Framework for Blockchain Interoperability and Runtime Selection. - Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian:
TERMINATOR: Better Automated UI Test Case Prioritization. - Igor Kadota, Eytan H. Modiano:
Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals. - Michael Varley, Vaishak Belle:
Fairness in Machine Learning with Tractable Models. - Laszlo Treszkai, Vaishak Belle:
A Correctness Result for Synthesizing Plans With Loops in Stochastic Domains. - Daoming Lyu:
Knowledge-Based Sequential Decision-Making Under Uncertainty. - Daniel Vieira, João Paixão:
Vector Field Neural Networks. - Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski:
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing. - Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Fiduciary Bandits. - Lionel P. Robert Jr.:
Are Automated Vehicles Safer than Manually Driven Cars? - Carrie Gardner, Abby Waliga, David Thaw, Sarah Churchman:
Using Camouflaged Cyber Simulations as a Model to Ensure Validity in Cybersecurity Experimentation. - Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun:
Non-Parametric Priors For Generative Adversarial Networks. - Dariusz R. Kowalski, Jaroslaw Mirek:
On the complexity of fault-tolerant consensus. - Li Chen:
Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels. - Karan Sikka, Lucas Van Bramer, Ajay Divakaran:
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks. - Richard Marcus, Michael Kohlhase, Florian Rabe:
TGView3D System Description: 3-Dimensional Visualization of Theory Graphs. - Yuantian Miao, Benjamin Zi Hao Zhao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Dali Kaafar, Yang Xiang:
The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT. - Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon:
Sliced Score Matching: A Scalable Approach to Density and Score Estimation. - Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu:
Exact-K Recommendation via Maximal Clique Optimization. - Dequn Liang, Xinyu Dou:
Discussions on Signal Uncertainty Principle in Shannon Channel Capacity Equation and Research on Breaking Shannon Limit Method. - Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. - Darwin Bautista, Raimarc S. Dionido:
Mastering the Game of Sungka from Random Play. - Mahsa Mozaffari, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-dimensional Settings. - Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei:
Group Re-Identification with Multi-grained Matching and Integration. - Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund:
SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. - Nicholas Carlini:
A critique of the DeepSec Platform for Security Analysis of Deep Learning Models. - Ye Zhu:
High Throughput Push Based Storage Manager. - Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger:
Simple Black-box Adversarial Attacks. - Ankush Acharyya, Minati De, Subhas C. Nandy, Supantha Pandit:
Variations of largest rectangle recognition amidst a bichromatic point set. - Kaifeng Han, Seung-Woo Ko, Seungmin Lee, Woo-Suk Ko, Kaibin Huang:
Joint Frequency-and-Phase Modulation for Backscatter-Tag Assisted Vehicular Positioning. - Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. - David P. Woodruff, Guang Yang:
Separating k-Player from t-Player One-Way Communication, with Applications to Data Streams. - Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks. - Mohamed Faten Zhani, Hesham Elbakoury:
FlexNGIA: A Flexible Internet Architecture for the Next-Generation Tactile Internet. - Yu-Fang Chen, Vojtech Havlena, Ondrej Lengál:
Simulations in Rank-Based Büchi Automata Complementation. - Nicolás Robinson-García, Daniel Torres-Salinas, Enrique Herrera-Viedma, Domingo Docampo:
Mining university rankings: Publication output and citation impact as their basis. - Nilanjan Biswas, Goutam Das, Priyadip Ray:
Buffer-aided Resource Allocation for a Price Based Opportunistic Cognitive Radio Network. - Jianing Zhai, Sid Chi-Kin Chau, Minghua Chen:
Stay or Switch: Competitive Online Algorithms for Energy Plan Selection in Energy Markets with Retail Choice. - Valentin Wüstholz, Maria Christakis:
Targeted Greybox Fuzzing with Static Lookahead Analysis. - Jan Rüth, Ike Kunze, Oliver Hohlfeld:
An Empirical View on Content Provider Fairness. - Juste Raimbault, Denise Pumain:
Exploration methods for simulation models. - (Withdrawn) Non-signaling Approximations of Stochastic Team Problems.
- Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Keeping Track of User Steering Actions in Dynamic Workflows. - Shuaifeng Pang, Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou:
Concurrency Protocol Aiming at High Performance of Execution and Replay for Smart Contracts. - Marina Bannikova, Lihi Dery, Svetlana Obraztsova, Zinovi Rabinovich, Jeffrey S. Rosenschein:
Between Discord and Deadlock: Consensus Under a Deadline. - Hui Yin, Yuanhao Gong, Guoping Qiu:
Side Window Filtering. - Conor Kelleher, Mark T. Keane:
Plotting Markson's 'Mistress'. - Mark T. Keane, Eoin M. Kenny:
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins. - Eugene A. Golikov:
An Essay on Optimization Mystery of Deep Learning. - Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou:
Reference-Based Sequence Classification. - Phong Le, Ivan Titov:
Distant Learning for Entity Linking with Automatic Noise Detection. - Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. - Vincent Wan, Chun-an Chan, Tom Kenter, Jakub Vit, Rob Clark:
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network. - Simon Chadwick, Paul Newman:
Training Object Detectors With Noisy Data. - Misgina Tsighe Hagos, Shri Kant:
Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset. - Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani:
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks. - Sandra Dylus, Jan Christiansen, Finn Teegen:
Implementing a Library for Probabilistic Programming using Non-strict Non-determinism. - Yuri Kuratov, Mikhail Y. Arkhipov:
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language. - Maryam Abdolali, Mohammad Rahmati:
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data. - Maël Kerbiriou, Rayan Chikhi:
Parallel decompression of gzip-compressed files and random access to DNA sequences. - Roland Pellegrini, Igor Ivkic, Markus Tauber:
Towards a Security-Aware Benchmarking Framework for Function-as-a-Service. - Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. - Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. - Liliane Ableitner, Arne Meeuw, Sandro Schopfer, Verena Tiefenbeck, Felix Wortmann, Anselma Wörner:
Quartierstrom - Implementation of a real world prosumer centric local energy market in Walenstadt, Switzerland. - Makarius Wenzel:
Isabelle technology for the Archive of Formal Proofs. - Yuan Yin, Zhewei Wei:
Scalable Graph Embeddings via Sparse Transpose Proximities. - Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. - Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang:
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks. - Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig:
Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. - Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac:
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection. - Nantheera Anantrasirichai, Juliet Biggs, Fabien Albino, David R. Bull:
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets. - Max Mehltretter, Christian Heipke:
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching. - Jakub Sawicki, Maciej Smolka, Marcin Los, Robert Schaefer:
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy. - Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. - Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Nader Essam:
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving. - Julien Schroeter, Kirill A. Sidorov, A. David Marshall:
Weakly-Supervised Temporal Localization via Occurrence Count Learning. - Hongjiao Guan:
MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems. - Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. - Michael Wurster, Uwe Breitenbücher, Michael Falkenthal, Christoph Krieger, Frank Leymann, Karoline Saatkamp, Jacopo Soldani:
The Essential Deployment Metamodel: A Systematic Review of Deployment Automation Technologies. - John D. Martin, Michal Lyskawinski, Xiaohu Li, Brendan J. Englot:
Stochastically Dominant Distributional Reinforcement Learning. - Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Yongjun Xu:
EENA: Efficient Evolution of Neural Architecture. - Meilin Zhan, Roger Levy:
Availability-Based Production Predicts Speakers' Real-time Choices of Mandarin Classifiers. - Jeffrey Liu, Andrew J. Weinert, Saurabh Amin:
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection. - Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici:
Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation. - Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. - Edvinas Byla, Wei Pang:
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence. - Matthijs Westera, Gemma Boleda:
Don't Blame Distributional Semantics if it can't do Entailment. - Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann:
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. - José Camacho-Collados, Yerai Doval, Eugenio Martínez-Cámara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert:
Learning Cross-lingual Embeddings from Twitter via Distant Supervision. - Tapabrata Chakraborti, Arijit Patra, J. Alison Noble:
Contrastive Algorithmic Fairness: Part 1 (Theory). - Baltasar Trancón y Widemann, Markus Lepper:
Simple and Effective Relation-Based Approaches To XPath and XSLT Type Checking (Technical Report, Bad Honnef 2015). - Victor Roussanaly, Ocan Sankur, Nicolas Markey:
Abstraction Refinement Algorithms for Timed Automata. - Christian Schröder de Witt, Thomas Hornigold:
Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem. - Farhan Khawar, Nevin L. Zhang:
Cleaned Similarity for Better Memory-Based Recommenders. - Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan:
Online Hyper-parameter Learning for Auto-Augmentation Strategy. - Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou:
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. - Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan:
AM-LFS: AutoML for Loss Function Search. - Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg, Max Welling:
Integer Discrete Flows and Lossless Compression. - Helen F. Hastie, David A. Robb, José Lopes, Muneeb Imtiaz Ahmad, Pierre Le Bras, Xingkun Liu, Ronald P. A. Petrick, Katrin S. Lohan, Mike J. Chantler:
Challenges in Collaborative HRI for Remote Robot Teams. - Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal:
Neural Message Passing on Hybrid Spatio-Temporal Visual and Symbolic Graphs for Video Understanding. - Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin:
POPQORN: Quantifying Robustness of Recurrent Neural Networks. - Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong:
MiSC: Mixed Strategies Crowdsourcing. - Elias Koutsoupias, Philip Lazos, Paolo Serafino, Foluso Ogunlana:
Blockchain Mining Games with Pay Forward. - Nandini Negi, Aranya Chakrabortty:
Sparsity-Promoting Optimal Control of Cyber-Physical Systems over Shared Communication Networks. - Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi:
Montague Semantics for Lambek Pregroups. 84-94 - Alejandro Linares-Barranco, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Tobi Delbrück:
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification. - Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
A Coordinated Search Strategy for Multiple Solitary Robots: An Extension. - Harkirat Singh Behl, Atilim Günes Baydin, Philip H. S. Torr:
Alpha MAML: Adaptive Model-Agnostic Meta-Learning. - Osman Asif Malik, Stephen Becker:
Randomization of Approximate Bilinear Computation for Matrix Multiplication. - Byungsoo Kim, Vinicius C. Azevedo, Markus H. Gross, Barbara Solenthaler:
Transport-Based Neural Style Transfer for Smoke Simulations. - Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox:
AutoDispNet: Improving Disparity Estimation with AutoML. - Zain ul Abi Din, Panagiotis Tigas, Samuel T. King, Benjamin Livshits:
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning. - Azin Asgarian, Shun Zhao, Ahmed Bilal Ashraf, M. Erin Browne, Kenneth M. Prkachin, Alex Mihailidis, Thomas Hadjistavropoulos, Babak Taati:
Limitations and Biases in Facial Landmark Detection - An Empirical Study on Older Adults with Dementia. - Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman:
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. - Ahmed Shokry:
Shortest Path Algorithms between Theory and Practice. - Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. - Satish Ramakrishna, Kamesh Aiyer:
Speeding up the Karatsuba algorithm. - Saswat Padhi, Todd D. Millstein, Aditya V. Nori, Rahul Sharma:
Overfitting in Synthesis: Theory and Practice (Extended Version). - Tung Tran, Ramakanth Kavuluru:
Neural Metric Learning for Fast End-to-End Relation Extraction. - Ali Reza Pedram, Takashi Tanaka, Matthew T. Hale:
Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control. - Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. - Luchen Li, Matthieu Komorowski, Aldo A. Faisal:
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs. - Michael Dinitz, Yasamin Nazari, Zeyu Zhang:
Lasserre Integrality Gaps for Graph Spanners and Related Problems. - Francesco Maurelli, Szymon Krupinski:
A semantic-aided particle filter approach for AUV localization. - Jacob Beckerman, Theodore Christakis:
Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets. - Christopher Aicher, Nicholas J. Foti, Emily B. Fox:
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. - Rongjun Qin:
Automated 3D recovery from very high resolution multi-view satellite images. - Rongjun Qin:
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping. - Bryan Seybold, Emily Fertig, Alex Alemi, Ian Fischer:
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. - Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim:
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach. - Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. - Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma:
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image. - Noga Alon, Shiri Chechik, Sarel Cohen:
Deterministic Combinatorial Replacement Paths and Distance Sensitivity Oracles. - Jiankang Zhang, Taihai Chen, Shida Zhong, Jingjing Wang, Wenbo Zhang, Xin Zuo, Robert G. Maunder, Lajos Hanzo:
Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds. - David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke:
Automatic Posterior Transformation for Likelihood-Free Inference. - Jongrae Kim:
Sequential training algorithm for neural networks. - Szymon Krupinski, Francesco Maurelli:
Positioning aiding using LiDAR in GPS signal loss scenarios. - Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu:
A comprehensive study of speech separation: spectrogram vs waveform separation. - Panos Stinis:
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning. - Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. - Zhongyang Li, Xiao Ding, Ting Liu:
Story Ending Prediction by Transferable BERT. - Changkyu Song, Abdeslam Boularias:
Object Rearrangement with Nested Nonprehensile Manipulation Actions. - Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. - Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi:
Cross-referencing using Fine-grained Topic Modeling. - Kyle Kuan, Tosiron Adegbija:
HALLS: An Energy-Efficient Highly Adaptable Last Level STT-RAM Cache for Multicore Systems. - Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra:
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. - Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Jun Xing, Ari Shapiro, Hao Li:
Learning Perspective Undistortion of Portraits. - Pengbo Bo, Yujian Zheng, Caiming Zhang:
Smooth quasi-developable surfaces bounded by smooth curves. - Robert Mieth, Yury Dvorkin:
Distribution Electricity Pricing under Uncertainty. - Genaro J. Martínez, Juan Carlos Seck Tuoh Mora, Sergio Víctor Chapa Vergara, Christian Lemaître:
Brief Notes and History Computing in Mexico during 50 years. - Daniel Zhang, Nathan Vance, Dong Wang:
When Social Sensing Meets Edge Computing: Vision and Challenges. - Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. - Yanfang Mo, Wei Chen, Sei Zhen Khong, Li Qiu:
A Structure-Tensor Approach to Integer Matrix Completion with Applications to Differentiated Energy Services. - Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Lacki, Warren Schudy, Vahab S. Mirrokni:
Massively Parallel Computation via Remote Memory Access. - Ali Jahani Amiri, Shing Yan Loo, Hong Zhang:
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network. - Nikhil Garg, Hamid Nazerzadeh:
Driver Surge Pricing. - Zhenya Zhang, Ichiro Hasuo, Paolo Arcaini:
Multi-Armed Bandits for Boolean Connectives in Hybrid System Falsification (Extended Version). - Man Luo:
Strong equivalence for LPMLN programs. - Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? - Jens Abraham, Torbjörn Ekman:
Power Inversion of the Massive MIMO Channel. - Yair Bartal, Nova Fandina, Ofer Neiman:
Covering Metric Spaces by Few Trees. - Khaled Ahmed Nagaty:
Discrete Logarithmic Fuzzy Vault Scheme. - Feng Qi, Wenchuan Wu:
Human-like machine thinking: Language guided imagination. - Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang:
RaFM: Rank-Aware Factorization Machines. - Sherif Saad, William Briguglio, Haytham Elmiligi:
The Curious Case of Machine Learning In Malware Detection. - Francesco Sovrano:
Combining Experience Replay with Exploration by Random Network Distillation. - Shangeth Rajaa, Jajati Keshari Sahoo:
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction. - Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. - Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li:
BERTSel: Answer Selection with Pre-trained Models. - Edilson Anselmo Corrêa Jr., Vanessa Q. Marinho, Diego R. Amancio:
Semantic flow in language networks. - Yufan Huang, Huaiyu Dai:
Quantifying Differential Privacy of Gossip Protocols in General Networks. - Rajakumar Arul, Gunasekaran Raja, Ali Kashif Bashir, Junaid Chaudry, Amjad Ali:
A Console GRID LA Console GRID Leveraged Authentication and Key Agreement Mechanism for LTE/SAE. - Thomas Byrd, Vuk Marojevic, Roger Piqueras Jover:
CSAI: Open-Source Cellular Radio Access Network Security Analysis Instrument. - Samuel E. Otto, Clarence W. Rowley:
A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds. - Teguh Santoso Lembono, Francisco Suárez-Ruiz, Quang-Cuong Pham:
SCALAR: Simultaneous Calibration of 2D Laser and Robot Kinematic Parameters Using Planarity and Distance Constraints. - Aleksandra Faust, Anthony G. Francis, Dar Mehta:
Evolving Rewards to Automate Reinforcement Learning. - Nicola Atzei, Massimo Bartoletti, Stefano Lande, Nobuko Yoshida, Roberto Zunino:
Developing secure Bitcoin contracts with BitML. - George Kesidis, Bhuvan Urgaonkar, Mahmut T. Kandemir, Takis Konstantopoulos:
A caching system with object sharing. - Gauvain Tanguy Henri Gabriel Isidore Roussel-Tarbouriech, Noel Menard, Tyler True, TiniVi, Reisyukaku:
Methodically Defeating Nintendo Switch Security. - Kalind Karia, Rucmenya Bessariya, Krishna Lala, Kavi Arya:
Learning while Competing - 3D Modeling & Design. - Hongteng Xu, Dixin Luo, Lawrence Carin:
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. - Chaitanya Kaul, Nick E. Pears, Suresh Manandhar:
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing. - Yonghae Kim, Hyesoon Kim:
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL. - Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantifying Robotic Swarm Coverage. - Christina Chaccour, Ramy Amer, Bo Zhou, Walid Saad:
On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies. - Anuj Singh:
Regions In a Linked Dataset For Change Detection. - Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang, Xue Li:
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care. - Takahiro Itazuri, Yoshihiro Fukuhara, Hirokatsu Kataoka, Shigeo Morishima:
What Do Adversarially Robust Models Look At? - Pengfei Gao, Fu Song, Taolue Chen, Yao Zeng, Ting Su:
Model-based Automated Testing of JavaScript Web Applications via Longer Test Sequences. - Yuchao Duan, Zhe Zhao, Lei Bu, Fu Song:
Things You May Not Know About Adversarial Example: A Black-box Adversarial Image Attack. - Tyler McDaniel, Jared M. Smith, Max Schuchard:
The Maestro Attack: Orchestrating Malicious Flows with BGP. - Sina Mohseni, Akshay Jagadeesh, Zhangyang Wang:
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems. - Roman Overko, Rodrigo H. Ordóñez-Hurtado, Sergiy Zhuk, Pietro Ferraro, Andrew Cullen, Robert Shorten:
Spatial Positioning Token (SPToken) for Smart Mobility. - MohamadAli Torkamani, Phillip Wallis, Shiv Shankar, Amirmohammad Rooshenas:
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions. - Chien-Sheng Wu:
Learning to Memorize in Neural Task-Oriented Dialogue Systems. - Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie:
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. - Alexios Gidiotis, Grigorios Tsoumakas:
Structured Summarization of Academic Publications. - Guido Governatori, Antonino Rotolo:
Is Free Choice Permission Admissible in Classical Deontic Logic? - Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan:
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations. - Mengyu Guo, Pin Wang, Ching-Yao Chan, Sid Askary:
A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections. - Sikder Huq, Sukumar Ghosh:
Locally Self-Adjusting Hypercubic Networks. - Chao Tan, Xin Feng, Jianwu Long, Li Geng:
FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting. - Ron Shemer, Arie Gurfinkel, Sharon Shoham, Yakir Vizel:
Property Directed Self Composition. - Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. - Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes:
Geometric Pose Affordance: 3D Human Pose with Scene Constraints. - Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang:
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis. - Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama:
Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation. - Chongwen Huang, George C. Alexandropoulos, Chau Yuen, Mérouane Debbah:
Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces. - Mehran Attar, Mohammadreza Dabirian:
Reinforcement Learning for Learning of Dynamical Systems in Uncertain Environment: a Tutorial. - Abhik Ghosh:
Optimal Guessing under Nonextensive Framework and associated Moment Bounds. - Michel Fliess, Cédric Join, Maria Bekcheva, Alireza Moradi, Hugues Mounier:
A simple but energy-efficient HVAC control synthesis for data centers. - Ziyuan Gao:
The teaching complexity of erasing pattern languages with bounded variable frequency. - Yotam M. Y. Feldman, James R. Wilcox, Sharon Shoham, Mooly Sagiv:
Inferring Inductive Invariants from Phase Structures. - Lingxiang Li, Marie Siew, Tony Q. S. Quek, Ju Ren, Zhi Chen, Yaoxue Zhang:
Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing. - Åsmund Brekke, Fredrik Vatsendvik, Frank Lindseth:
Multimodal 3D Object Detection from Simulated Pretraining. - Joseph H. Tien, Marisa C. Eisenberg, Sarah T. Cherng, Mason A. Porter:
Online reactions to the 2017 'Unite the Right' rally in Charlottesville: measuring polarization in Twitter networks using media followership. - Wenhao Wang, Yichen Jiang, Qintao Shen, Weihao Huang, Hao Chen, Shuang Wang, Xiaofeng Wang, Haixu Tang, Kai Chen, Kristin E. Lauter, Dongdai Lin:
Toward Scalable Fully Homomorphic Encryption Through Light Trusted Computing Assistance. - Firat Coskun Dalgic, Ahmet Selman Bozkir, Murat Aydos:
Phish-IRIS: A New Approach for Vision Based Brand Prediction of Phishing Web Pages via Compact Visual Descriptors. - Aviv Rosenberg, Yishay Mansour:
Online Convex Optimization in Adversarial Markov Decision Processes. - Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma:
A type of generalization error induced by initialization in deep neural networks. - Lijie Chen, Ofer Grossman:
Broadcast Congested Clique: Planted Cliques and Pseudorandom Generators. - Rahul Mehta:
Sparse Transfer Learning via Winning Lottery Tickets. - Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Y. Hammerla:
Correlation Coefficients and Semantic Textual Similarity. - Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova:
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. - Sven Jacobsson, Carl Lindquist, Giuseppe Durisi, Thomas Eriksson, Christoph Studer:
Timing and Frequency Synchronization for 1-bit Massive MU-MIMO-OFDM Downlink. - Yipu Zhao, Wenkai Ye, Patricio A. Vela:
Low-latency Visual SLAM with Appearance-Enhanced Local Map Building. - Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. - Idan Berkovits, Marijana Lazic, Giuliano Losa, Oded Padon, Sharon Shoham:
Verification of Threshold-Based Distributed Algorithms by Decomposition to Decidable Logics. - Yipu Zhao, Patricio A. Vela:
Good Feature Selection for Least Squares Pose Optimization in VO/VSLAM. - Wenkai Ye, Yipu Zhao, Patricio A. Vela:
Characterizing SLAM Benchmarks and Methods for the Robust Perception Age. - Shehroz S. Khan, Jacob Nogas, Alex Mihailidis:
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls. - Milan Cvitkovic, Günther Koliander:
Minimal Achievable Sufficient Statistic Learning. - Heguang Liu, Jingle Jiang:
U-Net Based Multi-instance Video Object Segmentation. - Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? - Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray:
Testing Deep Neural Network based Image Classifiers. - Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina:
Shaping the learning landscape in neural networks around wide flat minima. - Xu Zhang, Yang Yao, Baile Xu, Lekun Mao, Furao Shen, Jian Zhao, Qingwei Lin:
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning. - Linda Wang, Alexander Wong:
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration. - Jun Yu, Jing Li, Zhou Yu, Qingming Huang:
Multimodal Transformer with Multi-View Visual Representation for Image Captioning. - Minki Song, Seunghwan Lee, Eunsang Lee, Dong-Joon Shin, Young-Sik Kim, Jong-Seon No:
Improving security and bandwidth efficiency of NewHope using error-correction schemes. - Linda Wang, Alexander Wong:
Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment. - Alexey Bokhovkin, Evgeny Burnaev:
Boundary Loss for Remote Sensing Imagery Semantic Segmentation. - Xingyu Liu, Joon-Young Lee, Hailin Jin:
Learning Video Representations from Correspondence Proposals. - Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. - Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev:
MaxEntropy Pursuit Variational Inference. - Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models. - Andrew Adamatzky, Florian Huber, Joerg Schnauss:
Actin droplet machine. - Ashley D. Edwards, Charles L. Isbell Jr.:
Perceptual Values from Observation. - Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts. - Xingyu Lin, Harjatin Singh Baweja, David Held:
Reinforcement Learning without Ground-Truth State. - Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Error Exponent Bounds for the Bee-Identification Problem. - Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. - Xu Zhang, Quang-Cuong Pham:
Planning coordinated motions for tethered planar mobile robots. - Ramin Norouzi, Amirreza Kosari, Mohammad Hossein Sabour:
Investigating Flight Envelope Variation Predictability of Impaired Aircraft using Least-Squares Regression Analysis. - Hossein Khoshnevis, Ian D. Marsland, Hamid Jafarkhani, Halim Yanikomeroglu:
Space-Time Signal Design for Multilevel Polar Coding in Slow Fading Broadcast Channels. - Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev:
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. - Robin Scheibler, Nobutaka Ono:
Independent Vector Analysis with more Microphones than Sources. - Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Eugeny Burnaev:
Learning Ensembles of Anomaly Detectors on Synthetic Data. - Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li, Jing Chen:
Adaptive DDoS attack detection method based on multiple-kernel learning. - Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features. - Jianfeng Wang, Rong Xiao, Yandong Guo, Lei Zhang:
Learning to Count Objects with Few Exemplar Annotations. - Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand forecasting techniques for build-to-order lean manufacturing supply chains. - Ruslan Nikolaev, Binoy Ravindran:
Hyaline: Fast and Transparent Lock-Free Memory Reclamation. - Xuan Son Nguyen, Luc Brun, Olivier Lezoray, Sébastien Bougleux:
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks. - Jennifer Bonnard, Gilles Valette, Céline Loscos:
Disparity-based HDR imaging. - Yangbin Lin, Jialian Li, Cheng Wang, Zhonggui Chen, Zongyue Wang, Jonathan Li:
Fast Regularity-Constrained Plane Reconstruction. - Sangkyun Lee, Jeonghyun Lee:
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems. - Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu:
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. - Alain Brenzikofer, Noa Melchior:
Privacy-Preserving P2P Energy Market on the Blockchain. - Zhen-Qing He, Xiaojun Yuan:
Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO. - Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. - Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto:
A novel Multiplicative Polynomial Kernel for Volterra series identification. - Bartosz Piotrowski, Josef Urban:
Guiding Theorem Proving by Recurrent Neural Networks. - Jonas Tebbe, Lukas Klamt, Andreas Zell:
Spin Detection in Robotic Table Tennis. - Oleksii Sidorov, Marius Pedersen, Nam Wook Kim, Sumit Shekhar:
Are all the frames equally important? - Sebastian Berndt, Valentin Dreismann, Kilian Grage, Klaus Jansen, Ingmar Knof:
Robust Online Algorithms for Dynamic Problems. - Anne Reinarz, Dominic Etienne Charrier, Michael Bader, Luke Bovard, Michael Dumbser, Kenneth Duru, Francesco Fambri, Alice-Agnes Gabriel, Jean-Mathieu Gallard, Sven Köppel, Lukas Krenz, Leonhard Rannabauer, Luciano Rezzolla, Philipp Samfass, Maurizio Tavelli, Tobias Weinzierl:
ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems. - Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. - Omar Al-Debagy, Péter Martinek:
A Comparative Review of Microservices and Monolithic Architectures. - Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov:
Deep Reinforcement Learning Based Parameter Control in Differential Evolution. - Zheng Wang, Jianwu Li, Ge Song, Tieling Li:
Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction. - Oren Kalinsky, Benny Kimelfeld, Yoav Etsion:
The TrieJax Architecture: Accelerating Graph Operations Through Relational Joins. - Caifa Zhou, Andreas Wieser:
An iterative scheme for feature based positioning using a weighted dissimilarity measure. - Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. - Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher:
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. - Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani:
Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data. - Roman Galay:
A new algebraic approach to the graph isomorphism and clique problems. - Anton Kolonin, Ben Goertzel, Cassio Pennachin, Deborah Duong, Matt Iklé, Nejc Znidar, Marco Argentieri:
A Reputation System for Multi-Agent Marketplaces. - Thuy M. Pham, Ronan Farrell, Le-Nam Tran:
On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint. - Jiajing Wu, Dan Lin, Zibin Zheng, Qi Yuan:
T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis. - Matthew Smith, Martin Strohmeier, Jon Harman, Vincent Lenders, Ivan Martinovic:
Safety vs. Security: Attacking Avionic Systems with Humans in the Loop. - J. M. Calabuig, Hervé Falciani, Antonia Ferrer-Sapena, Lluís Miquel Garcia-Raffi, Enrique Alfonso Sánchez-Pérez:
Graph distances for determining entities relationships: a topological approach to fraud detection. - Rui Portocarrero Sarmento:
Inventory Management - A Case Study with NetLogo. - Xiaokang Zhang, Inge Jonassen:
A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-treated Atlantic Cod (Gadus morhua) Liver. - Diptanshu Kakwani, Yogesh Simmhan:
Distributed Algorithms for Subgraph-Centric Graph Platforms. - Molly S. Quinn, Kathleen Campbell, Mark T. Keane:
The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected. - Mariam Nouh, Jason R. C. Nurse, Michael Goldsmith:
Understanding the Radical Mind: Identifying Signals to Detect Extremist Content on Twitter. - Mark T. Keane, Eoin M. Kenny:
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning. - Ali Mohammed, Aurélien Cavelan, Florina M. Ciorba:
Online Research Report: rDLB: A Novel Approach for Robust Dynamic Load Balancing of Scientific Applications with Parallel Independent Tasks. - Dorien Herremans, David Martens, Kenneth Sörensen:
Dance Hit Song Prediction. - Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian:
Catastrophic forgetting: still a problem for DNNs. - Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang:
A Regularized Opponent Model with Maximum Entropy Objective. - Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi:
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation. - Martine S. Lenders, Thomas C. Schmidt, Matthias Wählisch:
A Lesson in Scaling 6LoWPAN - Minimal Fragment Forwarding in Lossy Networks. - Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis. - Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. - Mohamadreza Ahmadi, Nils Jansen, Bo Wu, Ufuk Topcu:
Control Theory Meets POMDPs: A Hybrid Systems Approach. - Benedikt Pfülb, Alexander Gepperth:
A comprehensive, application-oriented study of catastrophic forgetting in DNNs. - Mahesh B. Patil, M. Naveen Naidu, A. Vasan, Murari R. R. Varma:
Water Distribution System Design Using Multi-Objective Genetic Algorithm with External Archive and Local Search. - Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. - Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He:
Image Captioning based on Deep Learning Methods: A Survey. - Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. - Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi:
Continual Learning in Deep Neural Network by Using a Kalman Optimiser. - Pascal Caron, Jean-Gabriel Luque, Bruno Patrou:
A combinatorial approach for the state complexity of the Shuffle product. - Darren M. Chitty, Elizabeth F. Wanner, Rakhi Parmar, Peter R. Lewis:
Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems. - Mahdi Boroujeni, Sina Dehghani, Soheil Ehsani, Mohammad Taghi Hajiaghayi, Saeed Seddighin:
Subcubic Equivalences Between Graph Centrality Measures and Complementary Problems. - Salvatore D'Oro, Francesco Restuccia, Tommaso Melodia:
Toward Operator-to-Waveform 5G Radio Access Network Slicing. - Lin Feng, Xiangzhu Meng, Huibing Wang:
Multi-view Locality Low-rank Embedding for Dimension Reduction. - Jacob Gildenblat, Eldad Klaiman:
Self-Supervised Similarity Learning for Digital Pathology. - Etienne Lemaire:
Pretty Modular Symmetric Encryption (PMSE), compact algorithm for "embedded cryptography" with quite low computational cost. - Wei-Ye Zhao, Xiya Guan, Yang Liu, Xiaoming Zhao, Jian Peng:
Stochastic Variance Reduction for Deep Q-learning. - Jasmijn Bastings, Wilker Aziz, Ivan Titov:
Interpretable Neural Predictions with Differentiable Binary Variables. - Dhiman Chakraborty, Lucjan Hanzlik, Sven Bugiel:
simTPM: User-centric TPM for Mobile Devices (Technical Report). - Beyazit Yalcinkaya, Ebru Aydin Gol:
ATAC: A Tool for Automating Timed Automata Construction. - Shashank Singh, Ashish Khetan, Zohar S. Karnin:
DARC: Differentiable ARchitecture Compression. - Qin Wang, Wen Li, Luc Van Gool:
Semi-Supervised Learning by Augmented Distribution Alignment. - Sandeep Dasgupta, Tanmay Gangwani:
Partial Redundancy Elimination using Lazy Code Motion. - Álvaro Peris, Francisco Casacuberta:
A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks. - Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. - Sahil Suneja, Canturk Isci:
Secure Extensibility for System State Extraction via Plugin Sandboxing. - Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. - Mahed Abroshan, Ramji Venkataramanan, Lara Dolecek, Albert Guillén i Fàbregas:
Coding for Deletion Channels with Multiple Traces. - Sarah C. Helble, Alexander J. Gartner, Jennifer A. McKneely:
Increasing the Security of Weak Passwords: the SPARTAN Interface. - Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons, Michael Zink:
Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. - Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. - Xinyi Wang, Graham Neubig:
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation. - Xiaoyan Zou, Ruofan Zhou, Majed El Helou, Sabine Süsstrunk:
Drone Shadow Tracking. - Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory, Randolph E. Kirchain, Joana Maria, Lav R. Varshney:
Accelerated Discovery of Sustainable Building Materials. - Abbas Kazerouni, Lawrence M. Wein:
Best Arm Identification in Generalized Linear Bandits. - Qingfu Wan, Weichao Qiu, Alan L. Yuille:
Patch-based 3D Human Pose Refinement. - Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. - Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky:
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. - Nikolaos Pappas, Marios Kountouris:
Delay Violation Probability and Age of Information Interplay in the Two-user Multiple Access Channel. - Jakub Zádník, Jarmo Takala:
Low-power Programmable Processor for Fast Fourier Transform Based on Transport Triggered Architecture. - Peter T. Breuer:
Safe and Chaotic Compilation for Hidden Deterministic Hardware Aliasing. - Shanchan Wu, Yifan He:
Enriching Pre-trained Language Model with Entity Information for Relation Classification. - Uthsav Chitra, Benjamin J. Raphael:
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights. - Roman Lukyanenko, Andrea Wiggins, Holly K. Rosser:
Citizen Science: An Information Quality Research Frontier. - Nicholas Denis:
Issues concerning realizability of Blackwell optimal policies in reinforcement learning. - Yavuz Yaman, Predrag Spasojevic:
An Intra-Cluster Model with Diffuse Scattering for mmWave Communications: RT-ICM. - Fahmid M. Fahid, Zhe Yu, Tim Menzies:
Better Technical Debt Detection via SURVEYing. - Hansenclever de F. Bassani, Aluízio F. R. Araújo:
A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts. - Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference under Information Constraints II: Communication Constraints and Shared Randomness. - Hong Zhao:
Prediction of System Evolution by Learning Machine. - Yuan Lin, John McPhee, Nasser L. Azad:
Longitudinal Dynamic versus Kinematic Models for Car-following Control Using Deep Reinforcement Learning. - Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek:
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression. - Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric:
Consistent and Accurate Frequency Oracles under Local Differential Privacy. - Omer Katz, Yuval Olshaker, Yoav Goldberg, Eran Yahav:
Towards Neural Decompilation. - Jasprit Singh Gill, Pierluigi Pisu, Venkat N. Krovi, Matthias J. Schmid:
Behavior Identification and Prediction for a Probabilistic Risk Framework. - Subhasis Dasgupta, Aditya Bagchi, Amarnath Gupta:
Ingesting High-Velocity Streaming Graphs from Social Media Sources. - Chen Avin, Manya Ghobadi, Chen Griner, Stefan Schmid:
Measuring the Complexity of Packet Traces. - Kai Sauerwald, Christoph Beierle:
Decrement Operators in Belief Change. - Wenjie Xiong, Jakub Szefer:
Leaking Information Through Cache LRU States. - Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, Juan Pablo Bello:
Robust sound event detection in bioacoustic sensor networks. - Kashif Zia, Alois Ferscha, Dari Trendafilov:
Importance of Coordination and Cultural Diversity for an Efficient and Flexible Manufacturing System. - André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William I. Grosky, Bela Gipp:
Why Machines Cannot Learn Mathematics, Yet. - Samuel Drews, Aws Albarghouthi, Loris D'Antoni:
Efficient Synthesis with Probabilistic Constraints. - Andrew Banman:
SmartNight: Turning Off the Lights on Android. - Mário Pereira:
Desfuncionalizar para Provar. - Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices. - Aina Garí Soler, Marianna Apidianaki, Alexandre Allauzen:
Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes. - Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju:
Scylla: A Mesos Framework for Container Based MPI Jobs. - Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju:
Tromino: Demand and DRF Aware Multi-Tenant Queue Manager for Apache Mesos Cluster. - Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju:
Exploring the Fairness and Resource Distribution in an Apache Mesos Environment. - Md. Iftekhar Tanveer, Md. Kamrul Hasan, Daniel Gildea, Mohammed (Ehsan) Hoque:
A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks. - Yun Kuen Cheung, Georgios Piliouras:
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games. - Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea:
Checking Robustness Against Snapshot Isolation. - Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. - Percy Deift, Stephen D. Miller, Thomas Trogdon:
Stopping time signatures for some algorithms in cryptography. - Marc Eder, Jan-Michael Frahm:
Convolutions on Spherical Images. - Beatriz Soret, Israel Leyva-Mayorga, Petar Popovski:
Inter-plane satellite matching in dense LEO constellations. - Gleb Belov, Liron Cohen, Maria Garcia de la Banda, Daniel Harabor, Sven Koenig, Xinrui Wei:
Position Paper: From Multi-Agent Pathfinding to Pipe Routing. - Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu:
Dual-branch residual network for lung nodule segmentation. - Pankaj Saha, Angel Beltre, Piotr Uminski, Madhusudhan Govindaraju:
Evaluation of Docker Containers for Scientific Workloads in the Cloud. - Haichao Cao, Hong Liu, Enmin Song:
A novel algorithm for segmentation of leukocytes in peripheral blood. - Ahmed Ewaisha, Cihan Tepedelenlioglu:
Offloading Deadline-Constrained Cellular Traffic. - Zhao Wang, Anna Sapienza, Aron Culotta, Emilio Ferrara:
Personality and Behavior in Role-based Online Games. - Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu:
Clustering with Similarity Preserving. - Fande Kong:
Parallel memory-efficient all-at-once algorithms for the sparse matrix triple products in multigrid methods. - Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard G. Baraniuk:
The Geometry of Deep Networks: Power Diagram Subdivision. - Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation. - Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil, Sarah M. Collins, Patricia A. Soranno:
Spatially Constrained Spectral Clustering Algorithms for Region Delineation. - Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao:
Towards Safety-Aware Computing System Design in Autonomous Vehicles. - Wei Jiang, Yan Tang:
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation. - Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao:
Parallel Neural Text-to-Speech. - Vijith Kumar K. P, Brijesh Kumar Rai, Tony Jacob:
Fundamental Limits of Coded Caching: The Memory Rate Pair (K-1-1/K, 1/(K-1)). - Yakov Miron, Yona Coscas:
S-Flow GAN. - Ahmed Nasrallah, Venkatraman Balasubramanian, Akhilesh S. Thyagaturu, Martin Reisslein, Hesham Elbakoury:
Cyclic Queuing and Forwarding for Large Scale Deterministic Networks: A Survey. - Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. - Juan Wang, Chengyang Fan, Jie Wang, Yueqiang Cheng, Yinqian Zhang, Wenhui Zhang, Peng Liu, Hongxin Hu:
SvTPM: A Secure and Efficient vTPM in the Cloud. - Patric Bonnier, Patrick Kidger, Imanol Pérez Arribas, Cristopher Salvi, Terry J. Lyons:
Deep Signatures. - Mengxiao Hu, Jinlong Li:
Exploring Bias in GAN-based Data Augmentation for Small Samples. - Jonathan Ho, Evan Lohn, Pieter Abbeel:
Compression with Flows via Local Bits-Back Coding. - Yosuke Kaga, Masakazu Fujio, Kenta Takahashi, Tetsushi Ohki, Masakatsu Nishigaki:
PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance. - Andrea Romanoni, Matteo Matteucci:
Mesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement. - Giuseppe Carlo Calafiore, Stephane Gaubert, Corrado Possieri:
A Universal Approximation Result for Difference of log-sum-exp Neural Networks. - Dirk Beyer, Heike Wehrheim:
Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework. - Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao:
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria. - Xinhan Di, Pengqian Yu, Mingchao Sun, Rui Bu:
Neighborhood Enlargement in Graph Neural Networks. - Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita:
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction. - Ce Ju, Dong Eui Chang:
Stochastic Inverse Reinforcement Learning. - Anwitaman Datta:
Blockchain in the Government Technology Fabric. - Yukiko Yamauchi, Masafumi Yamashita:
Coding theory for noiseless channels realized by anonymous oblivious mobile robots. - Roberto Dessì, Marco Baroni:
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks. - Mathias Ruggaard Pedersen:
Behavioural Preorders on Stochastic Systems - Logical, Topological, and Computational Aspects. - Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida:
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. - Patrick Kidger, Terry J. Lyons:
Universal Approximation with Deep Narrow Networks. - Rafsanjany Kushol, Md. Nishat Raihan, Md Sirajus Salekin, A. B. M. Ashikur Rahman:
Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element. - Sharath Adavanne, Archontis Politis, Tuomas Virtanen:
A multi-room reverberant dataset for sound event localization and detection. - Sebastiano Barbieri, Óscar Pérez Concha, Sradha Kotwal, Martin Gallagher, Angus Ritchie, Louisa Jorm:
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk. - Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting:
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. - Jana Wagemaker, Marcello M. Bonsangue, Tobias Kappé, Jurriaan Rot, Alexandra Silva:
Completeness and Incompleteness of Synchronous Kleene Algebra. - Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Bayesian Pitch Tracking Based on the Harmonic Model. - Cong Zuo, Shifeng Sun, Joseph K. Liu, Jun Shao, Josef Pieprzyk:
Dynamic Searchable Symmetric Encryption Schemes Supporting Range Queries with Forward/Backward Privacy. - Lélia Blin, Laurent Feuilloley, Gabriel Le Bouder:
Memory Lower Bounds for Self-Stabilization. - Lélia Blin, Swan Dubois, Laurent Feuilloley:
Silent MST approximation for tiny memory. - Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure. - Ahmad Mani-Varnosfaderani, Mohammad Javad Masroor:
Exploring the effects of Lx-norm penalty terms in multivariate curve resolution methods for resolving LC/GC-MS data. - Deepika Verma, Kerstin Bach, Paul Jarle Mork:
Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach. - Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. - Marin Bougeret, Klaus Jansen, Michael Poss, Lars Rohwedder:
Approximation results for makespan minimization with budgeted uncertainty. - Salimeh Yasaei Sekeh, Alfred O. Hero III:
Geometric Estimation of Multivariate Dependency. - Sarah Azouvi, Alexander Hicks:
SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies. - Michaël Ramamonjisoa, Vincent Lepetit:
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation. - Vincent Lostanlen:
Une ou deux composantes ? La réponse de la diffusion en ondelettes. - Juan Wilches:
VGG Fine-tuning for Cooking State Recognition. - Yu-Min Chung, Chuan-Shen Hu, Austin Lawson, Clifford D. Smyth:
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification. - Lei Qu, Changfeng Wu, Liang Zou:
3D Dense Separated Convolution Module for Volumetric Image Analysis. - Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. - Brij Rokad, Sureshkumar Nagarajan:
Skin Cancer Recognition using Deep Residual Network. - Rupali Khatun, Soumick Chatterjee:
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features. - Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers:
Vehicle Shape and Color Classification Using Convolutional Neural Network. - Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. - Hua Wang, Jie Wang, Zhaoxia Yin:
War: Detecting adversarial examples by pre-processing input data. - Hiroshi Kaizuka, Yasuhiro Nagasaki, Ryo Sako:
ROI Regularization for Semi-supervised and Supervised Learning. - Alex Wong, Xiaohan Fei, Stefano Soatto:
VOICED: Depth Completion from Inertial Odometry and Vision. - Chongyang Bai, Maksim Bolonkin, Judee K. Burgoon, Chao Chen, Norah E. Dunbar, Bharat Singh, V. S. Subrahmanian, Zhe Wu:
Automatic Long-Term Deception Detection in Group Interaction Videos. - (Withdrawn) Neurons Activation Visualization and Information Theoretic Analysis.
- Herman J. Haverkort, David Kübel, Elmar Langetepe:
Shortest-Path-Preserving Rounding. - Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou:
Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling. - Apollos Ezeogu:
Performance Analysis of 6T and 9T SRAM. - Razvan V. Marinescu, Daniel C. Alexander, Polina Golland:
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. - Sascha Caron, Tom Heskes, Sydney Otten, Bob Stienen:
Constraining the Parameters of High-Dimensional Models with Active Learning. - Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail Douhaniaris, Preethi Seshadri, John Whaley:
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification. - Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy, Lili Jiang:
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure. - Sébastien Lerique, Jacob Levy Abitbol, Márton Karsai:
Joint embedding of structure and features via graph convolutional networks. - Vinicius Vielmo Cogo, Alysson Bessani:
Auditable Register Emulations. - Valentin P. Bakoev:
Fast Computing the Algebraic Degree of Boolean Functions. - Simon Tamayo, Thibaud Monteiro:
Mathematical method for calculating batch fragmentations and their impacts on product recall within a FIFO assignment policy. - Flávia Dias Casagrande, Evi Zouganeli:
Activity Recognition and Prediction in Real Homes. - Simon Bruggmann, Rico Zenklusen:
An Optimal Monotone Contention Resolution Scheme for Bipartite Matchings via a Polyhedral Viewpoint. - Zhen-Liang Ni, Gui-Bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Yan-Jie Zhou:
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network. - Florian Frohn, Jürgen Giesl:
Termination of Triangular Integer Loops is Decidable. - Doheum Park, Juhan Nam, Juyong Park:
Quantifying Novelty and Influence, and the Patterns of Paradigm Shifts. - Daniel S. Katz, Daina Bouquin, Neil P. Chue Hong, Jessica Hausman, Catherine Mary Jones, Daniel Chivvis, Tim Clark, Mercè Crosas, Stephan Druskat, Martin Fenner, Tom Gillespie, Alejandra N. González-Beltrán, Morane Gruenpeter, Ted Habermann, Robert Haines, Melissa Harrison, Edwin A. Henneken, Lorraine J. Hwang, Matthew B. Jones, Alastair A. Kelly, David N. Kennedy, Katrin Leinweber, Fernando Rios, Carly Robinson, Ilian T. Todorov, Mingfang Wu, Qian Zhang:
Software Citation Implementation Challenges. - Simon Gottschalk, Elena Demidova:
MultiWiki: Interlingual Text Passage Alignment in Wikipedia. - Jen-Yen Chang, Antonio Tejero-de-Pablos, Tatsuya Harada:
Improved Optical Flow for Gesture-based Human-robot Interaction. - Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli:
Proprioceptive Robot Collision Detection through Gaussian Process Regression. - Ioannis Z. Emiris, Christina Katsamaki:
Voronoi diagram of orthogonal polyhedra in two and three dimensions. - Vojtech Havlena, Lukás Holík, Ondrej Lengál, Tomás Vojnar:
Automata Terms in a Lazy WSkS Decision Procedure (Technical Report). - Ananda Theertha Suresh, Brian Roark, Michael Riley, Vlad Schogol:
Approximating probabilistic models as weighted finite automata. - Katsushi Ikeuchi, David Baumert, Shunsuke Kudoh, Masaru Takizawa:
Design of conversational humanoid robot based on hardware independent gesture generation. - Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. - Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos:
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud. - Alexander Kozlov, Vadim Andronov, Yana Gritsenko:
Lightweight Network Architecture for Real-Time Action Recognition. - Satya Jayadev P., Shankar Narasimhan, Nirav P. Bhatt:
Learning Conserved Networks from Flows. - Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. - Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió:
Factorised Neural Relational Inference for Multi-Interaction Systems. - Ting-Shuo Yo, Edwin D. de Jong:
A comparison of evaluation methods in coevolution. - Chu-Ren Huang, Ting-Shuo Yo, Petr Simon, Shu-Kai Hsieh:
A realistic and robust model for Chinese word segmentation. - Jan Skrzypczak, Florian Schintke, Thorsten Schütt:
Linearizable State Machine Replication of State-Based CRDTs without Logs. - Konrad Simon, Jörn Behrens:
Semi-Lagrangian Subgrid Reconstruction for Advection-Dominant Multiscale Problems. - Matteo Cardaioli, Mauro Conti, Kiran S. Balagani, Paolo Gasti:
Your PIN Sounds Good! On The Feasibility of PIN Inference Through Audio Leakage. - Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. - David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Limitations of routing-by-agreement based capsule networks. - Khac-Hoang Ngo, Alexis Decurninge, Maxime Guillaud, Sheng Yang:
Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications. - Maximilian Jaroschek, Manuel Kauers, Laura Kovács:
Lonely Points in Simplices. - Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif:
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. - Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and learning over networks under subspace constraints. - Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig:
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge. - Martin Jansche, Alexander Gutkin:
Sampling from Stochastic Finite Automata with Applications to CTC Decoding. - Yihui Ren, Shinjae Yoo, Adolfy Hoisie:
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. - Xuewei Zhang, Tiejun Lv, Yuan Ren, Wei Ni, Norman C. Beaulieu, Y. Jay Guo:
Economical Caching for Scalable Videos in Cache-enabled Heterogeneous Networks. - Wenju Xu, Shawn Shahriar Keshmiri, Guanghui Wang:
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation. - Jordan Jueckstock, Shaown Sarker, Peter Snyder, Panagiotis Papadopoulos, Matteo Varvello, Benjamin Livshits, Alexandros Kapravelos:
The Blind Men and the Internet: Multi-Vantage Point Web Measurements. - Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard:
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. - Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams. - Marwa Kandil, Reem AlBaghdadi, Fatemah AlAttar, Issam W. Damaj:
AmIE: An Ambient Intelligent Environment for Assisted Living. - David Castells-Graells, Christopher Salahub, Evangelos Pournaras:
On Cycling Risk and Discomfort: Urban Safety Mapping and Bike Route Recommendations. - Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor S. Lempitsky:
Textured Neural Avatars. - Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Instructions' Latencies Characterization for NVIDIA GPGPUs. - Miguel Ángel Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media. - Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. - Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. - Zirui Xu, Fuxun Yu, Xiang Chen:
DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks. - Jean-François Têtu, Louis-Charles Trudeau, Michiel Van Beirendonck, Alexios Balatsoukas-Stimming, Pascal Giard:
FPGA-based Mining of Lyra2REv2 Cryptocurrencies. - Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
Revisiting hard thresholding for DNN pruning. - Simon Gottschalk, Elena Demidova:
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation. - Avi Caciularu, David Burshtein:
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders. - Suyoun Kim, Florian Metze:
Acoustic-to-Word Models with Conversational Context Information. - Thomas Hardjono, Alex Pentland:
Data Cooperatives: Towards a Foundation for Decentralized Personal Data Management. - Indu Manickam, Andrew S. Lan, Gautam Dasarathy, Richard G. Baraniuk:
IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election. - Afiya Ayman, Amna Aziz, Amin Alipour, Aron Laszka:
Smart Contract Development in Practice: Trends, Issues, and Discussions on Stack Overflow. - Yanfeng Qi, Sihem Mesnager, Chunming Tang:
Codebooks from generalized bent Z4-valued quadratic forms. - Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser:
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. - Arun Jambulapati, Yang P. Liu, Aaron Sidford:
Parallel Reachability in Almost Linear Work and Square Root Depth. - David A. Plaisted:
Properties and Extensions of Alternating Path Relevance - I. - Ahmad Babaeian Jelodar, Yu Sun:
Joint Object and State Recognition using Language Knowledge. - Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. - Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara:
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization. - Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring Concept Meta-learning for Evolving Data Streams. - Tianhao Zhu, Sergül Aydöre:
Time-Smoothed Gradients for Online Forecasting. - Chao Wang, Xiaohu Guo:
Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction. - Chiho Choi, Behzad Dariush:
Looking to Relations for Future Trajectory Forecast. - Anne-Laure Ehresmann, Manuel Lafond, Lata Narayanan, Jaroslav Opatrny:
Distributed Pattern Formation in a Ring. - Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. - Yinchuan Xu, Junlin Yang:
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution. - Elisa Ferrari, Alessandra Retico, Davide Bacciu:
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI). - Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi:
Adaptive Model Selection Framework: An Application to Airline Pricing. - Na Du, Jacob Haspiel, Qiaoning Zhang, Dawn M. Tilbury, Anuj K. Pradhan, X. Jessie Yang, Lionel P. Robert Jr.:
Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload. - Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang:
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic. - Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke:
Explainable Machine Learning for Scientific Insights and Discoveries. - Benjamin Inden, Jürgen Jost:
Evolving neural networks to follow trajectories of arbitrary complexity. - Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet:
ALEX: An Updatable Adaptive Learned Index. - Shibo Yao, Dantong Yu, Keli Xiao:
Enhancing Domain Word Embedding via Latent Semantic Imputation. - Simon Duque Antón, Daniel Fraunholz, Christoph Lipps, Frederic Pohl, Marc Zimmermann, Hans D. Schotten:
Two Decades of SCADA Exploitation: A Brief History. - Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman:
Equilibrium Characterization for Data Acquisition Games. - Michael Kissner, Helmut Mayer:
A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-Learning. - Camila Sonoda Gomes, Adilson Luiz Bonifácio:
Automatically Checking Conformance on Asynchronous Reactive Systems. - Bingli Jiao, Mingxi Yin, Yuli Yang:
Cocktail Intra-Symbol-Codes: Exceeding the Channel Limit of QPSK Input. - Luisa März, Dietrich Trautmann, Benjamin Roth:
Domain adaptation for part-of-speech tagging of noisy user-generated text. - Markus Lepper, Baltasar Trancón y Widemann:
D2d - XML for Authors. - Stefan Carlsson:
Geometry of Deep Convolutional Networks. - Peng Xu, Zhaohong Deng, Kup-Sze Choi, Jun Wang, Shitong Wang:
Joint Information Preservation for Heterogeneous Domain Adaptation. - Haris Aziz, Bo Li, Xiaowei Wu:
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores. - Deepali Jain, Atil Iscen, Ken Caluwaerts:
Hierarchical Reinforcement Learning for Quadruped Locomotion. - Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan:
Learning Fully Dense Neural Networks for Image Semantic Segmentation. - Sumit Kumar Monga, Sheshadri K. R, Yogesh Simmhan:
ElfStore: A Resilient Data Storage Service for Federated Edge and Fog Resources. - Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann:
Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. - Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. - Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni:
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. - Jinyi Zhang, Tadahiro Matsumoto:
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation. - Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. - Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan:
Recent Advances in Neural Question Generation. - Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. - Zherong Pan, Min Liu, Xifeng Gao, Kai Xu, Dinesh Manocha:
Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages. - Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft:
ANTIQUE: A Non-Factoid Question Answering Benchmark. - Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang:
Segmentation-Aware Image Denoising without Knowing True Segmentation. - (Withdrawn) Multiple reconstruction compression framework based on PNG image.
- Sung Gwan Park, Amihood Amir, Gad M. Landau, Kunsoo Park:
Cartesian Tree Matching and Indexing. - Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan:
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets. - Inayat Ali, Huhnkuk Lim:
Anchor-Less Producer Mobility Management in Named Data Networking for Real-Time Multimedia. - Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan:
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks. - Damien Vurpillot, Perrine Pittet, Johann Forte, Benoist Pierre:
From heterogeneous data to heterogeneous public: thoughts on transmedia applications for digital heritage research and dissemination. - Shahram Shahsavari, Farhad Shirani, Mohammad Ali Amir Khojastepour, Elza Erkip:
Opportunistic Temporal Fair Mode Selection and User Scheduling for Full-duplex Systems. - Aihua Zheng, Xianmin Lin, Chenglong Li, Ran He, Jin Tang:
Attributes Guided Feature Learning for Vehicle Re-identification. - Mingming Shi, Claudio De Persis, Pietro Tesi, Nima Monshizadeh:
Bias estimation in sensor networks. - Yousif Hashisho, Mohamad Albadawi, Tom Krause, Uwe Freiherr von Lukas:
Underwater Color Restoration Using U-Net Denoising Autoencoder. - Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko:
PEPSI++: Fast and Lightweight Network for Image Inpainting. - Tamir Tassa, Tal Grinshpoun, Avishay Yanai:
A Privacy Preserving Collusion Secure DCOP Algorithm. - Liran Funaro, Orna Agmon Ben-Yehuda, Assaf Schuster:
Efficient Multi-Resource, Multi-Unit VCG Auction. - Shreyas Pai, Sriram V. Pemmaraju:
Connectivity Lower Bounds in Broadcast Congested Clique. - Akansel Cosgun, Thomas Rowntree, Ian D. Reid, Tom Drummond:
Practical Robot Learning from Demonstrations using Deep End-to-End Training. - Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou:
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. - Davide Mazzini, Raimondo Schettini:
Spatial Sampling Network for Fast Scene Understanding. - Antonino Furnari, Giovanni Maria Farinella:
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. - Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation from Pairwise Matches. - Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht:
End-to-End Learned Random Walker for Seeded Image Segmentation. - Konstantinos Makantasis, Maria Kontorinaki, Ioannis K. Nikolos:
A Deep Reinforcement Learning Driving Policy for Autonomous Road Vehicles. - Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung:
Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images. - Gloria Feher, Andreas Spitz, Michael Gertz:
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings. - Mete Ozay:
Fine-grained Optimization of Deep Neural Networks. - Alexander Jung:
Learning Networked Exponential Families with Network Lasso. - Wanthanee Rathasamuth, Kitsuchart Pasupa, Sissades Tongsima:
Selection of a Minimal Number of Significant Porcine SNPs by an Information Gain and Genetic Algorithm Hybrid Model. - Raghavendra Bhat, Pravin Chandran, Juby Jose, Viswanath Dibbur, Prakash Sirra Ajith:
NTP : A Neural Network Topology Profiler. - Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli:
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. - Rachid Oucheikh, Ismail Berrada, Outman El Hichami:
A Hypergraph Based Approach for the 4-Constraint Satisfaction Problem Tractability. - Martin Ekerå:
Revisiting Shor's quantum algorithm for computing general discrete logarithms. - Nikola Milosevic, Dimitar Marinov, Abdullah Gök, Goran Nenadic:
From web crawled text to project descriptions: automatic summarizing of social innovation projects. - Akanda Wahid-Ul-Ashraf, Marcin Budka, Katarzyna Musial:
Simulation and Augmentation of Social Networks for Building Deep Learning Models. - Mohammad Khodaei, Hamid Noroozi, Panos Papadimitratos:
Scaling Pseudonymous Authentication for Large Mobile Systems. - David Cerezo Sánchez:
Zero-Knowledge Proof-of-Identity: Sybil-Resistant, Anonymous Authentication on Permissionless Blockchains and Incentive Compatible, Strictly Dominant Cryptocurrencies. - Robin Haunschild, Lutz Bornmann, Jonathan Adams:
R package for producing beamplots as a preferred alternative to the h index when assessing single researchers (based on downloads from Web of Science). - Ryan Viertel, Braxton Osting, Matthew L. Staten:
Coarse Quad Layouts Through Robust Simplification of Cross Field Separatrix Partitions. - Michael Schwarz, Robert Schilling, Florian Kargl, Moritz Lipp, Claudio Canella, Daniel Gruss:
ConTExT: Leakage-Free Transient Execution. - Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni:
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. - Sofia Gil-Clavel, Emilio Zagheni:
Demographic Differentials in Facebook Usage Around the World. - Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis:
Blind identification of stochastic block models from dynamical observations. - Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold:
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. - Stefano Giovanni Rizzo, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System. - Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor:
A Joint Named-Entity Recognizer for Heterogeneous Tag-setsUsing a Tag Hierarchy. - Muhammad Ikram, Pierrick Beaume, Mohamed Ali Kâafar:
DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling. - Kunal Banerjee, Chandan Karfa:
A Quick Introduction to Functional Verification of Array-Intensive Programs. - Gábor Borbély, András Kornai:
Sentence Length. - Armando Maciel Toda, Wilk Oliveira, Lei Shi, Ig Ibert Bittencourt, Seiji Isotani, Alexandra I. Cristea:
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. - Bihe Chen, Rongjun Qin, Xu Huang, Shuang Song, Xiaohu Lu:
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images. - Jingjing Zhang, Osvaldo Simeone:
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning. - Xiaohu Lu, Rongjun Qin, Xu Huang:
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model. - Xu Huang, Rongjun Qin:
Multi-View Large-Scale Bundle Adjustment Method for High-Resolution Satellite Images. - Timothy A. Miller:
Simplified Neural Unsupervised Domain Adaptation. - Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong:
ZJUNlict Extended Team Description Paper for RoboCup 2019. - Giulio Lovisotto, Simon Eberz, Ivan Martinovic:
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating. - Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok:
The Computational Complexity of Understanding Network Decisions. - Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
A framework for the extraction of Deep Neural Networks by leveraging public data. - Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari:
Two stage cluster for resource optimization with Apache Mesos. - Shervin Rahimzadeh Arashloo, Josef Kittler:
Multi-Task Kernel Null-Space for One-Class Classification. - Giuseppe F. Italiano, Silvio Lattanzi, Vahab S. Mirrokni, Nikos Parotsidis:
Dynamic Algorithms for the Massively Parallel Computation Model. - Ulysse Léchine, Sébastien Tixeuil:
Asynchronous Scattering. - Robin Kaarsgaard:
Condition/Decision Duality and the Internal Logic of Extensive Restriction Categories. - Jonathan Aigrain, Marcin Detyniecki:
Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection. - Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk:
Thresholding Graph Bandits with GrAPL. - Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka:
Learning Robust Options by Conditional Value at Risk Optimization. - Leonard Adolphs, Jonas Kohler, Aurélien Lucchi:
Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training. - Krzysztof J. Cios, Bartosz Krawczyk, Jacquelyne Cios, Kevin J. Staley:
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine. - William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore:
Evaluating recommender systems for AI-driven data science. - Moitrayee Chatterjee, Akbar Siami Namin:
Deep Reinforcement Learning for Detecting Malicious Websites. - Zachary Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos:
Convergence and Margin of Adversarial Training on Separable Data. - Berkan Demirel, Omer Ozdil, Yunus Emre Esin, Safak Ozturk:
Segmentation-Aware Hyperspectral Image Classification. - Nataly S. Vlasova, Nikita V. Bykov:
The Problem of Adhesion Methods and Locomotion Mechanism Development for Wall-Climbing Robots. - Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. - Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko:
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. - Loris Bozzato, Thomas Eiter, Luciano Serafini:
A Note on Reasoning on DL-LiteR with Defeasibility. - Jianjun Zheng, Akbar Siami Namin:
Markov Decision Process to Enforce Moving Target Defence Policies. - Boyuan Ma, Chuni Liu, Xiaoyan Wei, Mingfei Gao, Xiaojuan Ban, Hao Wang, Haiyou Huang, Weihua Xue:
WPU-Net: Boundary learning by using weighted propagation in convolution network. - Franz Brauße, Konstantin Korovin, Margarita V. Korovina, Norbert Th. Müller:
A CDCL-style calculus for solving non-linear constraints. - Vijay Menon, Kate Larson:
Mechanism Design for Locating a Facility under Partial Information. - Zahra Montazeri, Gopi M:
Separating Overlapping Tissue Layers from Microscopy Images. - Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez:
Optimal Decision Making Under Strategic Behavior. - Elmar H. Langholz:
Oculum afficit: Ocular Affect Recognition. - Azadeh Farzan, Anthony Vandikas:
Reductions for Automated Hypersafety Verification. - Alexander Fengler, Peter Jung:
On the Restricted Isometry Property of Centered Self Khatri-Rao Products. - Johan Phan, Massimiliano Ruocco, Francesco Scibilia:
Dual Active Sampling on Batch-Incremental Active Learning. - Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. - Murali Mani, Zhenyan Liu:
Exploring Query Results. - Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
FastSpeech: Fast, Robust and Controllable Text to Speech. - Sam Kriegman, Stephanie Walker, Dylan S. Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Automated shapeshifting for function recovery in damaged robots. - Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu:
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. - Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta:
Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-based Connected Vehicle Applications. - Quentin Bramas, Stéphane Devismes, Pascal Lafourcade:
Infinite Grid Exploration by Disoriented Robots. - Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord:
Data-Efficient Image Recognition with Contrastive Predictive Coding. - Mustafa Al-Bassam:
LazyLedger: A Distributed Data Availability Ledger With Client-Side Smart Contracts. - Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner:
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration. - Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. - Jung Hun Oh, Maryam Pouryahya, Aditi Iyer, Aditya P. Apte, Allen R. Tannenbaum, Joseph O. Deasy:
Kernel Wasserstein Distance. - Elad Domanovitz, Uri Erez:
A Simple Receive Diversity Technique for Distributed Beamforming. - Jonathan Binas, Sherjil Ozair, Yoshua Bengio:
The Journey is the Reward: Unsupervised Learning of Influential Trajectories. - Faraz Torabi, Garrett Warnell, Peter Stone:
Imitation Learning from Video by Leveraging Proprioception. - David Thaw, Bret Barkley, Gerry Bella, Carrie Gardner:
Simulation-Based Cyber Data Collection Efficacy. - Maryana Alegro, Eduardo J. L. Alho, Maria da Graça Morais Martin, Lea Tenenholz Grinberg, Helmut Heinsen, Roseli de Deus Lopes, Edson Amaro Jr., Lilla Zöllei:
Automating Whole Brain Histology to MRI Registration: Implementation of a Computational Pipeline. - Mohammad Kachuee, Kimmo Kärkkäinen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh:
Generative Imputation and Stochastic Prediction. - Juntao Chen, Quanyan Zhu:
Interdependent Strategic Security Risk Management with Bounded Rationality in the Internet of Things. - Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. - Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. - Jing Chen, Bo Li, Yingkai Li:
Approximately Maximizing the Broker's Profit in a Two-sided Market. - Soheil Abbasloo, Yang Xu, H. Jonathan Chao, Hang Shi, Ulas C. Kozat, Yinghua Ye:
Toward Optimal Performance with Network Assisted TCP at Mobile Edge. - Dan Calacci, Alex Berke, Kent Larson, Alex Pentland:
The tradeoff between the utility and risk of location data and implications for public good. - Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka, Jens Grossklags:
Hey Google, What Exactly Do Your Security Patches Tell Us? A Large-Scale Empirical Study on Android Patched Vulnerabilities. - Sandhya Saisubramanian, Shlomo Zilberstein:
Minimizing the Negative Side Effects of Planning with Reduced Models. - Biyi Fang, Diego Klabjan:
Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. - Victor Zakhary, Mohammad Javad Amiri, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi:
Towards Global Asset Management in Blockchain Systems. - Weijian Zheng, Dali Wang, Fengguang Song:
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. - Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli:
Outlier Robust Extreme Learning Machine for Multi-Target Regression. - Thomas Helmuth, Edward R. Pantridge, Lee Spector:
Lexicase Selection of Specialists. - Lia Jundt, Thomas Helmuth:
Comparing and Combining Lexicase Selection and Novelty Search. - Thomas Durieux, Rui Abreu:
Critical Review of BugSwarm for Fault Localization and Program Repair. - Kaiyu Yang, Jia Deng:
Learning to Prove Theorems via Interacting with Proof Assistants. - Jaeseung Byun, Karan P. Jain, Siddharth H. Nair, Haoyun Xu, Jiaming Zha:
Predictive Control for Chasing a Ground Vehicle using a UAV. - David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell:
Cognitive Model Priors for Predicting Human Decisions. - Siddhesh Khandelwal, Leonid Sigal:
AttentionRNN: A Structured Spatial Attention Mechanism. - Ibrahim Al-Nahhal, Ertugrul Basar, Octavia A. Dobre, Salama Ikki:
Optimum Low-Complexity Decoder for Spatial Modulation. - Hyungik Oh, Ramesh C. Jain:
Detecting Events of Daily Living Using Multimodal Data. - Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. - Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov:
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. - Hanten Chang, Shinji Nakaoka, Hiroyasu Ando:
Effect of shapes of activation functions on predictability in the echo state network. - Matthew Reimherr, Jordan Awan:
Elliptical Perturbations for Differential Privacy. - Joseph Eremondi:
Set Constraints, Pattern Match Analysis, and SMT. - Yeonwoo Jeong, Hyun Oh Song:
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement. - Tongwen Huang, Zhiqi Zhang, Junlin Zhang:
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction. - Morad Behandish, Saigopal Nelaturi, Chaman Singh Verma, Mats Allard:
Automated Process Planning for Turning: A Feature-Free Approach. - Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar:
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling. - Matthew Reimherr, Jordan Awan:
KNG: The K-Norm Gradient Mechanism. - Alex Long, Joel Mason, Alan Blair, Wei Wang:
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal. - Shabnam Tafreshi, Mona T. Diab:
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus. - Haofei Kuang, Qingwen Xu, Sören Schwertfeger:
Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network. - Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. - Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca, Elza Erkip:
Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks. - Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng:
Prototype Reminding for Continual Learning. - Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. - Tadeusz Litak, Albert Visser:
Lewisian Fixed Points I: Two Incomparable Constructions. - Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson:
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network. - Roni Mateless, Michael Segal:
Approximate String Matching for DNS Anomaly Detection. - Étienne André:
Formalizing Time4sys using parametric timed automata. - Vadim E. Levit, Eugen Mandrescu:
On the Critical Difference of Almost Bipartite Graphs. - Vy-An Phan:
Private Queries on Public Certificate Transparency Data. - Kien Nguyen, Clinton Fookes, Sridha Sridharan:
Constrained Design of Deep Iris Networks. - Hongyu Chen, Xiting Zhao, Jianwen Luo, Zhijie Yang, Zehao Zhao, Haochuan Wan, Xiaoya Ye, Guangyuan Weng, Zhenpeng He, Tian Dong, Sören Schwertfeger:
Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets. - Elad Domanovitz, Uri Erez:
Simple Bounds for the Symmetric Capacity of the Rayleigh Fading Multiple Access Channel. - Lianjiang Li, Yunrong Yang, Bingna Li:
Combine PPO with NES to Improve Exploration. - Bachir El Khadir, Jake Varley, Vikas Sindhwani:
Teleoperator Imitation with Continuous-time Safety. - Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. - Eric S. Kim, Murat Arcak, Sanjit A. Seshia:
Flexible Computational Pipelines for Robust Abstraction-Based Control Synthesis. - Yixin Cao, Guozhen Rong, Jianxin Wang, Zhifeng Wang:
Graph Searches and Their End Vertices. - Mehmet Yigit Yildirim, Mert Ozer, Hasan Davulcu:
Leveraging Uncertainty in Deep Learning for Selective Classification. - Min Qiu, Yu-Chih Huang, Jinhong Yuan:
Downlink Non-Orthogonal Multiple Access without SIC for Block Fading Channels: An Algebraic Rotation Approach. - Cedric Le Gentil, Teresa A. Vidal-Calleja, Shoudong Huang:
IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping. - C. Maria Keet:
The African Wildlife Ontology tutorial ontologies: requirements, design, and content. - Katherine Cordwell, André Platzer:
Towards Physical Hybrid Systems. - Pawel Trajdos, Robert Burduk:
Combination of linear classifiers using score function - analysis of possible combination strategies. - Niels Hellinga, Vlado Menkovski:
Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning. - Simon Ostermann, Michael Roth, Manfred Pinkal:
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants. - Wookhyun Han, Md. Lutfor Rahman, Yuxuan Chen, Chengyu Song, Byoungyoung Lee, Insik Shin:
SynFuzz: Efficient Concolic Execution via Branch Condition Synthesis. - Jilin Mei, Huijing Zhao:
Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation. - Christopher Hampson, Stanislav Kikot, Agi Kurucz, Sérgio Marcelino:
Non-finitely axiomatisable modal product logics with infinite canonical axiomatisations. - Amir Rubin, Shay Kels, Danny Hendler:
Detecting Malicious PowerShell Scripts Using Contextual Embeddings. - Igor Korkin:
MemoryRanger Prevents Hijacking FILE_OBJECT Structures in Windows Kernel. - Jürgen Giesl, Peter Giesl, Marcel Hark:
Computing Expected Runtimes for Constant Probability Programs. - Vishal Sharma, Yousik Lee, Ilsun You:
Security of 5G-V2X: Technologies, Standardization and Research Directions. - Jinkui Yao, Lianghua Xu:
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation. - Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao:
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Binary Classification with Bounded Abstention Rate. - Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau:
Recurrent Value Functions. - Zarathustra Amadeus Goertzel, Jan Jakubuv, Josef Urban:
ENIGMAWatch: ProofWatch Meets ENIGMA. - Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich:
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring. - Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. - Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Xueqi Cheng:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. - Seongmun Jung, Oh Joon Kwon:
Improving Neural Networks by Adopting Amplifying and Attenuating Neurons. - Hamza Khan, Petri Luoto, Sumudu Samarakoon, Mehdi Bennis, Matti Latva-aho:
Network Slicing for Vehicular Communication. - Nasser Mohammed Al-Fannah, Wanpeng Li, Chris J. Mitchell:
Beyond Cookie Monster Amnesia: Real World Persistent Online Tracking. - Qijian Chen, Lihui Wang, Li Wang, Zeyu Deng, Jian Zhang, Yuemin Zhu:
Glioma Grade Predictions using Scattering Wavelet Transform-Based Radiomics. - Thomas Nowak, Ulrich Schmid, Kyrill Winkler:
Topological Characterization of Consensus under General Message Adversaries. - Huaxia Wang, Chun-Nam Yu:
A Direct Approach to Robust Deep Learning Using Adversarial Networks. - Christoph Dürr, Kim Thang Nguyen, Abhinav Srivastav, Léo Tible:
Non-monotone DR-submodular Maximization: Approximation and Regret Guarantees. - Emmanuel Pignat, Teguh Santoso Lembono, Sylvain Calinon:
Variational Inference with Mixture Model Approximation: Robotic Applications. - Rohit Gavval, Vadlamani Ravi, Kalavala Revanth Harshal, Akhilesh Gangwar, Kumar Ravi:
CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM. - Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo:
Diffusion and Auction on Graphs. - Xingyu Xu, Gen Li, Yuantao Gu:
Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. - Luís Cruz-Filipe, Graça Gaspar, Isabel Nunes:
Hypothetical answers to continuous queries over data streams. - Daniel A. Ashlock, Christoph Salge:
Automatic Generation of Level Maps with the Do What's Possible Representation. - Timo Bingmann, Phelim Bradley, Florian Gauger, Zamin Iqbal:
COBS: a Compact Bit-Sliced Signature Index. - Youqing Wu, Youzhi Xiang, Yutang Guo, Jin Tang, Zhaoxia Yin:
An Improved Reversible Data Hiding in Encrypted Images using Parametric Binary Tree Labeling. - Ziquan Lan, Zi Jian Yew, Gim Hee Lee:
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes. - Ye Liu, JunJun Pan, Michael K. Ng:
Tucker Decomposition Network: Expressive Power and Comparison. - William R. Clements, Benoît-Marie Robaglia, Bastien Van Delft, Reda Bahi Slaoui, Sébastien Toth:
Estimating Risk and Uncertainty in Deep Reinforcement Learning. - Enkhbold Bataa, Joshua Wu:
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese. - Sergey Andreyev:
Scientific Programs Imply Uncertainty. Results Expected and Unexpected. - Nantheera Anantrasirichai, Rencheng Zheng, Ivan W. Selesnick, Alin Achim:
Image Fusion via Sparse Regularization with Non-Convex Penalties. - Xiang Li, Xiaolin Hu, Jian Yang:
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks. - Tangui Aladjidi, François Pasqualini:
New methods for SVM feature selection. - Endre Erós, Martin Dahl, Kristofer Bengtsson, Atieh Hanna, Petter Falkman:
A ROS2 based communication architecture for control in collaborative and intelligent automation systems. - Pawel Szalachowski, Daniël Reijsbergen, Ivan Homoliak, Siwei Sun:
StrongChain: Transparent and Collaborative Proof-of-Work Consensus. - Florian Stober, Armin Weiß:
On the Average Case of MergeInsertion. - Léa Pillette, Camille Jeunet, Roger Nkambou, Bernard N'Kaoua, Fabien Lotte:
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces. - Javad Amirian, Wouter van Toll, Jean-Bernard Hayet, Julien Pettré:
Data-Driven Crowd Simulation with Generative Adversarial Networks. - Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies. - Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. - Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Disentangling Redundancy for Multi-Task Pruning. - Konstantinos Pitas, Andreas Loukas, Mike Davies, Pierre Vandergheynst:
Some limitations of norm based generalization bounds in deep neural networks. - Hakan Girgin, Sylvain Calinon:
Nullspace Structure in Model Predictive Control. - Hyunghun Cho, Yongjin Kim, Eunjung Lee, Daeyoung Choi, Yongjae Lee, Wonjong Rhee:
DEEP-BO for Hyperparameter Optimization of Deep Networks. - Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. - Ryo Yonetani, Tomohiro Takahashi, Atsushi Hashimoto, Yoshitaka Ushiku:
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data. - Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge:
The Convolutional Tsetlin Machine. - Takahiro Omi, Naonori Ueda, Kazuyuki Aihara:
Fully Neural Network based Model for General Temporal Point Processes. - Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor:
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. - Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Average reward reinforcement learning with unknown mixing times. - Xin Zhang, Ning Jia, Ioannis P. Ivrissimtzis:
Watermark retrieval from 3D printed objects via synthetic data training. - Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor:
Inverse Reinforcement Learning in Contextual MDPs. - Jinke Ren, Guanding Yu, Guangyao Ding:
Accelerating DNN Training in Wireless Federated Edge Learning System. - Seyed Omid Sajedi, Xiao Liang:
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection. - Xuanyi Dong, Yi Yang:
Network Pruning via Transformable Architecture Search. - Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. - Shaojie Tang:
Price of Dependence: Stochastic Submodular Maximization with Dependent Items. - Ali Ebnenasir:
Verification and Synthesis of Symmetric Uni-Rings for Leads-To Properties. - Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. - Cristian Ivan, Bipin Indurkhya:
On modelling the emergence of logical thinking. - Éric Fourneret, Blaise Yvert:
Digital Normativity: A challenge for human subjectivization and free will. - Maurice Herlihy, Barbara Liskov, Liuba Shrira:
Cross-chain Deals and Adversarial Commerce. - Christoph Ager, Alexander Seitz, Wolfgang A. Wall:
A consistent and comprehensive computational approach for general Fluid-Structure-Contact Interaction problems. - Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein:
Adversarially Robust Distillation. - Asaf Levin:
Approximation schemes for the generalized extensible bin packing problem. - Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. - Kun Dong, Austin R. Benson, David Bindel:
Network Density of States. - Gabriel Ferreira, Christian Kästner, Joshua Sunshine, Sven Apel, William L. Scherlis:
Design Dimensions for Software Certification: A Grounded Analysis. - Md. Faisal Mahbub Chowdhury, Robert Farrell:
An Efficient Approach for Super and Nested Term Indexing and Retrieval. - Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
Geometric Laplacian Eigenmap Embedding. - Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha:
Workflow Design Analysis for High Resolution Satellite Image Analysis. - Paul Micaelli, Amos J. Storkey:
Zero-shot Knowledge Transfer via Adversarial Belief Matching. - Chaoyun Zhang, Marco Fiore, Paul Patras:
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. - Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. - Oded Stein, Alec Jacobson, Max Wardetzky, Eitan Grinspun:
A Smoothness Energy without Boundary Distortion for Curved Surfaces. - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. - Kaustav Bose, Ranendu Adhikary, Manash Kumar Kundu, Buddhadeb Sau:
Positional Encoding by Robots with Non-Rigid Movements. - Hiroshi Inoue:
Multi-Sample Dropout for Accelerated Training and Better Generalization. - Ivana Balazevic, Carl Allen, Timothy M. Hospedales:
Multi-relational Poincaré Graph Embeddings. - Ramin Norouzi, Amirreza Kosari, Mohammad Hossein Sabour:
Evaluating the Effects of Control Surfaces Failure on the GTM. - Kashif Zia, Dinesh Kumar Saini, Arshad Muhammad, Alois Ferscha:
Nature-Inspired Computational Model of Population Desegregation under Group Leaders Influence. - Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag:
Augmenting correlation structures in spatial data using deep generative models. - Tianyuan Zhang, Zhanxing Zhu:
Interpreting Adversarially Trained Convolutional Neural Networks. - Julius Berner, Dennis Elbrächter, Philipp Grohs:
How degenerate is the parametrization of neural networks with the ReLU activation function? - Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine:
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. - Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza:
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design. - Alex Withers, Brian Bockelman, Derek Weitzel, Duncan A. Brown, Jason Patton, Jeff Gaynor, Jim Basney, Todd Tannenbaum, You Alex Gao, Zach Miller:
SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor. - Pawel Trajdos, Marek Kurzynski:
Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers. - Vivek Seshadri, Onur Mutlu:
In-DRAM Bulk Bitwise Execution Engine. - Bernd Finkbeiner, Felix Klein, Ruzica Piskac, Mark Santolucito:
Synthesizing Functional Reactive Programs. - Chao Wang, Xiaohu Guo:
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes. - Muhammad Idris, Martín Ugarte, Stijn Vansummeren, Hannes Voigt, Wolfgang Lehner:
Conjunctive Queries with Theta Joins Under Updates. - Chen Tessler, Guy Tennenholtz, Shie Mannor:
Distributional Policy Optimization: An Alternative Approach for Continuous Control. - Vasileios Lioutas, Andriy Drozdyuk:
Copy this Sentence. - Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber:
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. - Long Van Ho, Melissa D. Aczon, David R. Ledbetter, Randall C. Wetzel:
Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks. - Malvina Nissim, Rik van Noord, Rob van der Goot:
Fair is Better than Sensational: Man is to Doctor as Woman is to Doctor. - Jérémy Charlier, Radu State, Jean Hilger:
Modeling Smart Contracts Activities: A Tensor Based Approach. - Jérémy Charlier, Radu State, Jean Hilger:
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling. - Haidar Khan, Daniel Park, Azer Khan, Bülent Yener:
Thwarting finite difference adversarial attacks with output randomization. - Yunru Liu, Tingran Gao, Haizhao Yang:
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. - Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess:
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. - Haidar Khan, Lara Marcuse, Bülent Yener:
Deep density ratio estimation for change point detection. - Yong Zheng Ong, Charles K. Chui, Haizhao Yang:
CASS: Cross Adversarial Source Separation via Autoencoder. - Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva, Walid Saad, Jussi Haapola:
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems. - Belinda Tzen, Maxim Raginsky:
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit. - Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui:
Naive Feature Selection: Sparsity in Naive Bayes. - Omar Mahmood, José Miguel Hernández-Lobato:
A COLD Approach to Generating Optimal Samples. - Michael Kissner, Helmut Mayer:
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks. - Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. - Holden Lee, Cyril Zhang:
Robust guarantees for learning an autoregressive filter. - Thodoris Lykouris, Éva Tardos, Drishti Wali:
Graph regret bounds for Thompson Sampling and UCB. - Shuai Zheng, James T. Kwok:
Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning. - Jiawei Ma, Zheng Shou, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang:
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation. - Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez:
Neural ODEs with stochastic vector field mixtures. - Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire:
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. - Yuting Hu, Zhiling Long, Ghassan AlRegib:
Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks. - Milan Ceska, Jan Kretínský:
Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks. - Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, John Mitchell, Noah D. Goodman, Chris Piech:
Generative Grading: Neural Approximate Parsing for Automated Student Feedback. - Cyprien de Masson d'Autume, Mihaela Rosca, Jack W. Rae, Shakir Mohamed:
Training language GANs from Scratch. - Xiao Liao, Zhihong Li, Yunjiang Xi, Haibo Wang, Kenneth Zantow:
An Integrated Model for User Innovation Knowledge Based on Super-network. - Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev:
Precipitation Nowcasting with Satellite Imagery. - Zheyuan Huang, Yunkai Wang, Lingyun Chen, Jiacheng Li, Zexi Chen, Rong Xiong:
Mechatronic Design of a Dribbling System for RoboCup Small Size Robot. - Hassan Afzal, Djamila Aouada, Michel Antunes, David Fofi, Bruno Mirbach, Björn E. Ottersten:
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration. - David G. Clark, Jesse A. Livezey, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. - Victor Zakhary, Ishani Gupta, Rey Tang, Amr El Abbadi:
Multifaceted Privacy: How to Express Your Online Persona without Revealing Your Sensitive Attributes. - Michael Mathioudakis, Carlos Castillo, Giorgio Barnabò, Sergio Celis:
Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions. - Nachiket Deo, Mohan M. Trivedi:
Scene Induced Multi-Modal Trajectory Forecasting via Planning. - Andrew K. Lampinen, James L. McClelland:
Embedded Meta-Learning: Toward more flexible deep-learning models. - Or Raveh, Ron Meir:
PAC Guarantees for Concurrent Reinforcement Learning with Restricted Communication. - Wenshuo Guo, Nhat Ho, Michael I. Jordan:
Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport. - Roja Eini, Sherif Abdelwahed:
Urban Traffic Network Control in Smart Cities; a Distributed Model-based Control Approach. - Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. - Renée Burton:
Characterizing Certain DNS DDoS Attacks. - Hau Chan, Jing Chen, Bo Li, Xiaowei Wu:
Maximin-Aware Allocations of Indivisible Goods. - Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu:
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints. - Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab:
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. - Hanhan Li, Joe Yue-Hei Ng, Paul Natsev:
EnsembleNet: End-to-End Optimization of Multi-headed Models. - Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato:
Hypothesis Testing Interpretations and Renyi Differential Privacy. - Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink:
On Recurrent Neural Networks for Sequence-based Processing in Communications. - Soichiro Imoto, Yuichi Sudo, Hirotsugu Kakugawa, Toshimitsu Masuzawa:
Atomic Cross-Chain Swaps with Improved Space and Time Complexity. - Payam Ghassemi, Souma Chowdhury:
Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search. - Diego Ihara, Neshat Mohammadi, Anastasios Sidiropoulos:
Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms. - Frederic Koehler:
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay. - Xiaoye Sun, Shaoyun Xu, Gongyan Li:
A Real-Time Tiny Detection Model for Stem End and Blossom End of Navel Orange. - Peizun Liu, Thomas Wahl, Akash Lal:
Verifying Asynchronous Event-Driven Programs Using Partial Abstract Transformers (Extended Manuscript). - Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien:
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. - Jialin Wu, Raymond J. Mooney:
Self-Critical Reasoning for Robust Visual Question Answering. - Yongxi Lu, Ziyao Tang, Tara Javidi:
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning. - Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy:
Graph Representations for Higher-Order Logic and Theorem Proving. - Yingjing Lu, Runde Yang:
Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation. - Yixing Li, Fengbo Ren:
Light-Weight RetinaNet for Object Detection. - Guangyu Zhu, Tingting Zhao:
Deep-gKnock: nonlinear group-feature selection with deep neural network. - Changjian Li, Krzysztof Czarnecki:
Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. - Takuya Isomura:
Computational cost for determining an approximate global minimum using the selection and crossover algorithm. - Ashok Cutkosky, Francesco Orabona:
Momentum-Based Variance Reduction in Non-Convex SGD. - Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. - Antonios Anastasopoulos:
An Analysis of Source-Side Grammatical Errors in NMT. - Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang:
Neural Temporal-Difference Learning Converges to Global Optima. - Ben Adcock, Simone Brugiapaglia, Matthew King-Roskamp:
Do log factors matter? On optimal wavelet approximation and the foundations of compressed sensing. - Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi:
Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering. - Vishesh Jain, Frederic Koehler, Jingbo Liu, Elchanan Mossel:
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation. - Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Personalizing Dialogue Agents via Meta-Learning. - Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Shinji Nishimoto:
Brain-mediated Transfer Learning of Convolutional Neural Networks. - Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. - Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Efficient Batch Black-box Optimization with Deterministic Regret Bounds. - Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Yueming Lyu, Ivor W. Tsang:
Curriculum Loss: Robust Learning and Generalization against Label Corruption. - Zheng Wang, Zhixiang Wang, Yang Wu, Jingdong Wang, Shin'ichi Satoh:
Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification. - Yang Liu, Yingting Liu, Zhijie Liu, Junbo Zhang, Chuishi Meng, Yu Zheng:
Federated Forest. - Sathyaprakash Narayanan, Yeshwanth Bethi, Chetan Singh Thakur:
A Compressive Sensing Video dataset using Pixel-wise coded exposure. - Yuanyuan Liu, Jiyao Peng, Jiabei Zeng, Shiguang Shan:
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition. - Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. - Peng Sun, Peiwen Lin, Guangliang Cheng, Jianping Shi, Jiawan Zhang, Xi Li:
OVSNet : Towards One-Pass Real-Time Video Object Segmentation. - Bernadette Spieler, Wolfgang Slany:
A Customised App to Attract Female Teenagers to Coding. - Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. - Xin Huang, Boli Chen, Lin Xiao, Liping Jing:
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification. - Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee:
Exploration via Flow-Based Intrinsic Rewards. - Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv:
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation. - Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Training decision trees as replacement for convolution layers. - Alexander May, Lars Schlieper:
Quantum Period Finding with a Single Output Qubit - Factoring n-bit RSA with n/2 Qubits. - Hong Shen, Wei Xu, Shulei Gong, Zhenyao He, Chunming Zhao:
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications. - Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. - Younghan Jeon, Minsik Lee, Jin Young Choi:
Neuro-Optimization: Learning Objective Functions Using Neural Networks. - Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang:
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing. - Junyu Gao, Qi Wang, Xuelong Li:
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network. - Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information. - Xinxin Hu, Kailun Yang, Lei Fei, Kaiwei Wang:
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation. - David Brayford, Sofia Vallecorsa, Atanas Atanasov, Fabio Baruffa, Walter Riviera:
Deploying AI Frameworks on Secure HPC Systems with Containers. - Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian:
Disentangled Feature for Weakly Supervised Multi-class Sound Event Detection. - Katharina Bieker, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, Michael Dellnitz:
Deep Model Predictive Control with Online Learning for Complex Physical Systems. - Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu:
Learning Cross-Domain Representation with Multi-Graph Neural Network. - Boris Muzellec, Marco Cuturi:
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. - Yang Lu, Xiaohui Liang, Frederick W. B. Li:
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing. - Lin Zhu, Jiaxing Lu, Yihong Chen:
HDI-Forest: Highest Density Interval Regression Forest. - Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. - Josif Grabocka, Randolf Scholz, Lars Schmidt-Thieme:
Learning Surrogate Losses. - Shuo Li, Erik van der Horst, Philipp Duernay, Christophe De Wagter, Guido C. H. E. de Croon:
Visual Model-predictive Localization for Computationally Efficient Autonomous Racing of a 72-gram Drone. - Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. - Manas Mejari, Mihály Petreczky:
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs. - Badong Chen, Xin Wang, Zejian Yuan, Pengju Ren, Jing Qin:
Multi-Kernel Correntropy for Robust Learning. - Andreas Pfeuffer, Klaus Dietmayer:
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion. - Yuqing Ni, Kemi Ding, Yong Yang, Ling Shi:
On the Performance Analysis of Binary Hypothesis Testing with Byzantine Sensors. - Chun-Chi Wang, He-Zhi Liu, Rui-Yuan Lin, Li-Yang Lu, Norbert Michael Mayer:
Designing an Inertia Actuator with a Fast Rotating Gyro inside an Egg-shaped Robot. - Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei:
Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. - Enis Ulqinaku, Julinda Stefa, Alessandro Mei:
Scan-and-Pay on Android is Dangerous. - Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. - Hu Ding, Haikuo Yu:
A Practical Framework for Solving Center-Based Clustering with Outliers. - Refael Vivanti, Talya D. Sohlberg-Baris, Shlomo Cohen, Orna Cohen:
Adaptive Symmetric Reward Noising for Reinforcement Learning. - Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei:
Learning Low-Rank Approximation for CNNs. - Keisuke Okumura, Yasumasa Tamura, Xavier Défago:
winPIBT: Expanded Prioritized Algorithm for Iterative Multi-agent Path Finding. - Yang Li, Xuanqin Mou:
Saliency detection based on structural dissimilarity induced by image quality assessment model. - Mohammad Amin Sarafrazi, Ewa Pawluszewicz, Zbigniew Bartosiewicz, Ülle Kotta:
On the finiteness of accessibility test for nonlinear discrete-time systems. - Bing Yu, Junzhao Zhang, Zhanxing Zhu:
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks. - Sebastiaan Paul Mulders, Tobias Gybel Hovgaard, Jacob Deleuran Grunnet, Jan-Willem van Wingerden:
Preventing wind turbine tower natural frequency excitation with a quasi-LPV model predictive control scheme. - Kalliopi Basioti, George V. Moustakides:
Optimizing Shallow Networks for Binary Classification. - Makoto Naruse, Takashi Matsubara, Nicolas Chauvet, Kazutaka Kanno, Tianyu Yang, Atsushi Uchida:
Generative adversarial network based on chaotic time series. - Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran:
Generative Flow via Invertible nxn Convolution. - Kelly Blincoe, Olga Springer, Michal R. Wróbel:
Perceptions of Gender Diversity's impact on mood in software development teams. - Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
What if Process Predictions are not followed by Good Recommendations? - Jinping Fan, Yujie Gu, Masahiro Hachimori, Ying Miao:
Signature codes for weighted binary adder channel and multimedia fingerprinting. - Yinzhong Yan, Qingming Li:
Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfaces. - Marijn J. H. Heule, Manuel Kauers, Martina Seidl:
New ways to multiply 3 x 3-matrices. - Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Xu Sun:
Memorized Sparse Backpropagation. - Jie M. Zhang, Earl T. Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor:
Perturbed Model Validation: A New Framework to Validate Model Relevance. - Ivan Dolgakov, Dmitry Pavlov:
Landau: language for dynamical systems with automatic differentiation. - Thiago Rocha Silva, Jean-Luc Hak, Marco Winckler:
A Behavior-Based Ontology for Supporting Automated Assessment of Interactive Systems. - Théo Ryffel, Edouard Dufour Sans, Romain Gay, Francis R. Bach, David Pointcheval:
Partially Encrypted Machine Learning using Functional Encryption. - Gabriela Bosetti, Sergio Firmenich, Alejandro Fernández, Marco Winckler, Gustavo Rossi:
From Search Engines to Search Services: An End-User Driven Approach. - Dominik Alfke, Martin Stoll:
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks. - Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang:
Deep Reason: A Strong Baseline for Real-World Visual Reasoning. - Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Statistical embedding for directed graphs. - Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. - Hongming Zhang, Yan Song, Yangqiu Song:
Incorporating Context and External Knowledge for Pronoun Coreference Resolution. - Yunpeng Li, Dominik Roblek, Marco Tagliasacchi:
From Here to There: Video Inbetweening Using Direct 3D Convolutions. - Hans Liljestrand, Thomas Nyman, Lachlan J. Gunn, Jan-Erik Ekberg, N. Asokan:
PACStack: an Authenticated Call Stack. - Michael A. Lones:
Instruction-Level Design of Local Optimisers using Push GP. - Sungjin Lee, Igor Shalyminov:
Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation. - Stefano Tortora, Gloria Beraldo, Luca Tonin, Emanuele Menegatti:
Entropy-based Motion Intention Identification for Brain-Computer Interface. - Lachlan J. Gunn, Jian Liu, Bruno Vavala, N. Asokan:
Making Speculative BFT Resilient with Trusted Monotonic Counters. - Yassir Saquil, Qun-Ce Xu, Yong-Liang Yang, Peter Hall:
Rank3DGAN: Semantic mesh generation using relative attributes. - Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette:
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. - Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma:
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks. - Arthur Charpentier, Emmanuel Flachaire:
Extended Scale-Free Networks. - Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Loss Surface Modality of Feed-Forward Neural Network Architectures. - Alexey Ilyushkin, André Bauer, Alessandro Vittorio Papadopoulos, Ewa Deelman, Alexandru Iosup:
Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows. - Nir Bachrach, Keren Censor-Hillel, Michal Dory, Yuval Efron, Dean Leitersdorf, Ami Paz:
Hardness of Distributed Optimization. - Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. - Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt:
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects. - Simon D. Duque Antón, Alexander Hafner, Hans Dieter Schotten:
Devil in the Detail: Attack Scenarios in Industrial Applications. - Antreas Antoniou, Amos J. Storkey:
Learning to learn via Self-Critique. - Florian Kraus, Klaus Dietmayer:
Uncertainty Estimation in One-Stage Object Detection. - Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo:
An Explicitly Relational Neural Network Architecture. - Dan Andrei Calian, Peter Roelants, Jacques Calì, Ben Carr, Krishna Dubba, John E. Reid, Dell Zhang:
SCRAM: Spatially Coherent Randomized Attention Maps. - Sebastian Pölsterl, Christian Wachinger:
Likelihood-Free Inference and Generation of Molecular Graphs. - Oleksii Oleksenko, Bohdan Trach, Mark Silberstein, Christof Fetzer:
SpecFuzz: Bringing Spectre-type vulnerabilities to the surface. - Ahmed Raoof, Ashraf Matrawy, Chung-Horng Lung:
Secure Routing in IoT: Evaluation of RPL Secure Mode under Attacks. - Yunlong Wang, Harald Reiterer:
The Impact of Augmented-Reality Head-Mounted Displays on Users' Movement Behavior: An Exploratory Study. - Joachim de Curtò, Irene C. Zarza:
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks. - Yun Shen, Enrico Mariconti, Pierre-Antoine Vervier, Gianluca Stringhini:
Tiresias: Predicting Security Events Through Deep Learning. - Xiyang Liu, Sewoong Oh:
Minimax Rates of Estimating Approximate Differential Privacy. - Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. - Zeyuan Allen-Zhu, Yuanzhi Li:
What Can ResNet Learn Efficiently, Going Beyond Kernels? - Mitko Yanchev:
Decidability of an Expressive Description Logic with Rational Grading. - Iddo Drori, Yamuna Krishnamurthy, Raoni Lourenço, Rémi Rampin, Kyunghyun Cho, Cláudio T. Silva, Juliana Freire:
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. - Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan:
Mask-Guided Portrait Editing with Conditional GANs. - Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole:
Discrete Flows: Invertible Generative Models of Discrete Data. - André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia de Oliveira-Lage:
Predicting Brazilian court decisions. - Ivan Lobov, Sergey Ivanov:
Unsupervised Community Detection with Modularity-Based Attention Model. - Cornelius Fritz, Michael Lebacher, Göran Kauermann:
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. - Tauseef Ali, Eissa Jaber Alreshidi:
Deep Trajectory for Recognition of Human Behaviours. - Aleksandr Y. Aravkin, James V. Burke, Daiwei He:
On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise. - Vitaly Feldman, Roy Frostig, Moritz Hardt:
The advantages of multiple classes for reducing overfitting from test set reuse. - Claudia Hilderbrand, Christopher Perdriau, Lara Letaw, Jillian Emard, Zoe Steine-Hanson, Margaret Burnett, Anita Sarma:
Engineering Gender-Inclusivity into Software: Tales from the Trenches. - Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition. - Paul Linton:
Would Gaze-Contingent Rendering Improve Depth Perception in Virtual and Augmented Reality? - Lin F. Yang, Mengdi Wang:
Reinforcement Leaning in Feature Space: Matrix Bandit, Kernels, and Regret Bound. - Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller:
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. - Junteng Jia, Austin R. Benson:
Neural Jump Stochastic Differential Equations. - Aadil Hayat, Utsav Singh, Vinay P. Namboodiri:
InfoRL: Interpretable Reinforcement Learning using Information Maximization. - Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster:
Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks. - Kévin Garanger, Thanakorn Khamvilai, Eric Feron:
Additive manufacturing for high precision structural properties via feedback control. - Numa Dhamani, Paul Azunre, Jeffrey L. Gleason, Craig Corcoran, Garrett Honke, Steve Kramer, Jonathon Morgan:
Using Deep Networks and Transfer Learning to Address Disinformation. - William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler:
Differentiable Representations For Multihop Inference Rules. - Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. - Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. - Nikita Nangia, Samuel R. Bowman:
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark. - Maryam Majzoubi, Anna Choromanska:
LdSM: Logarithm-depth Streaming Multi-label Decision Trees. - Ethan Wilcox, Roger Levy, Richard Futrell:
What Syntactic Structures block Dependencies in RNN Language Models? - Aina Niemetz, Mathias Preiner, Andrew Reynolds, Yoni Zohar, Clark W. Barrett, Cesare Tinelli:
Towards Bit-Width-Independent Proofs in SMT Solvers. - Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. - Oleksii Sidorov, Joshua S. Harvey, Hannah E. Smithson, Jon Yngve Hardeberg:
Overt visual attention on rendered 3D objects. - Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao:
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks. - Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi, Marko Bertogna, Luca Benini:
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. - Shuoyang Ding, Adithya Renduchintala, Kevin Duh:
A Call for Prudent Choice of Subword Merge Operations. - Joseph Daws Jr., Clayton G. Webster:
A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks. - Suayb S. Arslan, Turguy Goker:
Compress-Store on Blockchain: A Decentralized Data Processing and Immutable Storage for Multimedia Streaming. - Tosho Hirasawa, Mamoru Komachi:
Debiasing Word Embeddings Improves Multimodal Machine Translation. - Mayank Baranwal, Kunal Garg, Alfred O. Hero III, Dimitra Panagou:
Distributed Optimization in Fixed-Time. - David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten:
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. - Adam Sealfon, Jonathan R. Ullman:
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy. - Cole Hawkins, Zheng Zhang:
Bayesian Tensorized Neural Networks with Automatic Rank Selection. - Viktor Reshniak, Clayton G. Webster:
Robust learning with implicit residual networks. - Junan Guo, Subhasis Dasgupta, Amarnath Gupta:
Multi-Model Investigative Exploration of Social Media Data with boutique: A Case Study in Public Health. - Keegan Lensink, Eldad Haber, Bas Peters:
Fully Hyperbolic Convolutional Neural Networks. - Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit:
Generative Latent Flow: A Framework for Non-adversarial Image Generation. - Henry Elder, Jennifer Foster, James Barry, Alexander O'Connor:
Designing a Symbolic Intermediate Representation for Neural Surface Realization. - Cleber Jorge Amaral, Sérgio Pereira Bernardes, Mateus Conceição, Jomi Fred Hübner, Luis Pedro Arenhart Lampert, Otávio Arruda Matoso, Maicon Rafael Zatelli:
Finding new routes for integrating Multi-Agent Systems using Apache Camel. - Hirohiko Kushida:
On the Constructive Truth and Falsity in Peano Arithmetic. - Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu:
Sparse Gaussian Process Modulated Hawkes Process. - Tian Li, Maziar Sanjabi, Virginia Smith:
Fair Resource Allocation in Federated Learning. - Chhavi Yadav, Léon Bottou:
Cold Case: The Lost MNIST Digits. - Yaohui Chen, Dongliang Mu, Jun Xu, Zhichuang Sun, Wenbo Shen, Xinyu Xing, Long Lu, Bing Mao:
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary. - Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, Christian Szegedy:
Learning to Reason in Large Theories without Imitation. - Lijing Zheng, Jie Peng, Haibin Kan, Yanjun Li, Juan Luo:
On constructions and properties of (n, m)-functions with maximal number of bent components. - Yihao Feng, Lihong Li, Qiang Liu:
A Kernel Loss for Solving the Bellman Equation. - Lijing Zheng, Jie Peng, Haibin Kan, Yanjun Li:
Constructing vectorial bent functions via second-order derivatives. - Chang Xiao, Peilin Zhong, Changxi Zheng:
Resisting Adversarial Attacks by k-Winners-Take-All. - Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng:
Semi-supervised Learning with Contrastive Predicative Coding. - Baohua Sun, Lin Yang, Michael Lin, Charles Young, Patrick Dong, Wenhan Zhang, Jason Dong:
SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding. - Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai:
ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning. - Gleb Naumenko, Gregory Maxwell, Pieter Wuille, Alexandra Fedorova, Ivan Beschastnikh:
Bandwidth-Efficient Transaction Relay for Bitcoin. - Arsalan Mousavian, Clemens Eppner, Dieter Fox:
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. - Kyungwoo Song, JoonHo Jang, Seungjae Shin, Il-Chul Moon:
Bivariate Beta LSTM. - Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. - Yangru Huang, Peixi Peng, Yi Jin, Junliang Xing, Congyan Lang, Songhe Feng:
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification. - Dhanamma Jagli, Seema Purohit, N. Subhash Chandra:
SAASQUAL: A Quality Model For Evaluating SaaS on The Cloud Computing Environment. - Dhanamma Jagli, Seema Purohit, N. Subhash Chandra:
SaaS CloudQual: A Quality Model for Evaluating Software as a Service on the Cloud Computing Environment. - Constantin Pape, Alex Matskevych, Julian Hennies, Anna Kreshuk:
Leveraging Domain Knowledge to improve EM image segmentation with Lifted Multicuts. - Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. - Xin Qian, Matthew Kennedy, Diego Klabjan:
Dynamic Cell Structure via Recursive-Recurrent Neural Networks. - Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. - Zhenzhou Wang:
A New Clustering Method Based on Morphological Operations. - Vincenzo Crescimanna, Bruce Graham:
The variational infomax autoencoder. - Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. - Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. - Giovanni Chierchia, Benjamin Perret:
Ultrametric Fitting by Gradient Descent. - Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. - Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. - Angelika Beatrix Schwarz, Carl Christian Kjelgaard Mikkelsen:
Robust Task-Parallel Solution of the Triangular Sylvester Equation. - Xiang Ma, Zhaohong Deng, Peng Xu, Kup-Sze Choi, Shitong Wang:
Deep Image Feature Learning with Fuzzy Rules. - Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. - Èric Pairet, Paola Ardón, Michael N. Mistry, Yvan R. Petillot:
Learning and Composing Primitive Skills for Dual-arm Manipulation. - Kwang Ho Kim, Jong Hyok Choe, Dok Nam Lee, Dae Song Go, Sihem Mesnager:
Solutions of xqk+...+xq+x=a in GF{2n}. - Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer:
Detecting Path Anomalies in Time Series Data on Networks. - Jan Melchior, Laurenz Wiskott:
Hebbian-Descent. - Yann Disser, Sören Schmitt:
Evacuating Two Robots from a Disk: A Second Cut. - Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
Multi-view Information-theoretic Co-clustering for Co-occurrence Data. - Honey Gupta, Kaushik Mitra:
Unsupervised Single Image Underwater Depth Estimation. - Chai Wah Wu:
LUTNet: speeding up deep neural network inferencing via look-up tables. - Ayesha Afzal, Georg Hager, Gerhard Wellein:
Delay Propagation and Overlapping Mechanisms on Clusters: A Case Study of Idle Periods based on Workload, Communication, and Delay Granularity. - Yandong Wen, Rita Singh, Bhiksha Raj:
Reconstructing faces from voices. - Michael J. Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi:
Average Individual Fairness: Algorithms, Generalization and Experiments. - Tingting Xie, Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Ioannis Patras:
Exploring Feature Representation and Training strategies in Temporal Action Localization. - Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Reasoning on Grasp-Action Affordances. - Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell:
Adversarial Policies: Attacking Deep Reinforcement Learning. - Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass:
Quantifying Exposure Bias for Neural Language Generation. - Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Ngan Le:
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks. - Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro:
Dynamic Epistemic Logic with ASP Updates: Application to Conditional Planning. - Arka Ujjal Dey, Suman Kumar Ghosh, Ernest Valveny:
Beyond Visual Semantics: Exploring the Role of Scene Text in Image Understanding. - Dongjun Wei, Yaxin Liu:
ESA: Entity Summarization with Attention. - Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu:
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. - Engkarat Techapanurak, Takayuki Okatani:
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity. - Jonathan Vacher, Ruben Coen Cagli:
Combining mixture models with linear mixing updates: multilayer image segmentation and synthesis. - Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. - Gowri Sankar Ramachandran, Bhaskar Krishnamachari:
A Reference Architecture for Blockchain-based Peer-to-Peer IoT Applications. - Adrian Rivera Cardoso, He Wang, Huan Xu:
Large Scale Markov Decision Processes with Changing Rewards. - Paul Michel, Omer Levy, Graham Neubig:
Are Sixteen Heads Really Better than One? - Yi Zhu:
Exploring Temporal Information for Improved Video Understanding. - Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Equitable Allocations of Indivisible Goods. - Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu:
Eliciting and Enforcing Subjective Individual Fairness. - Johannes Schneider:
Locality-Promoting Representation Learning. - Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. - Hans L. Bodlaender, Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi, Yoshio Okamoto, Yota Otachi, Tom C. van der Zanden:
Subgraph Isomorphism on Graph Classes that Exclude a Substructure. - Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. - Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers. - Avishek Joey Bose, William L. Hamilton:
Compositional Fairness Constraints for Graph Embeddings. - Alfonso Medela, Artzai Picón:
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding. - Jürgen Großmann, Michael Felderer, Johannes Viehmann, Ina Schieferdecker:
A Taxonomy to Assess and Tailor Risk-based Testing in Recent Testing Standards. - Minke Xiu, Zhen Ming Jack Jiang, Bram Adams:
An Exploratory Study on Machine Learning Model Stores. - Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg:
Training neural networks to have brain-like representations improves object recognition performance. - Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona:
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration. - Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip:
Composing Ensembles of Policies with Deep Reinforcement Learning. - Amirhossein Kazeminia, Andrei A. Bulatov:
Counting Homomorphisms Modulo a Prime Number. - Hao Yin, Austin R. Benson, Johan Ugander:
Measuring Directed Triadic Closure with Closure Coefficients. - Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo:
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. - Osbert Bastani:
Safe Reinforcement Learning via Online Shielding. - Manu V. Nair, Giacomo Indiveri:
A neuromorphic boost to RNNs using low pass filters. - Hamed R. Tavakoli, Ali Borji, Esa Rahtu, Juho Kannala:
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction. - Zekun Zhang, Tianfu Wu:
Adversarial Distillation for Ordered Top-k Attacks. - Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. - Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di-Jorio, Stan Matwin:
Efficient Neural Task Adaptation by Maximum Entropy Initialization. - Ziang Xiao, Michelle X. Zhou, Q. Vera Liao, Gloria Mark, Chang Yan Chi, Wenxi Chen, Huahai Yang:
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys. - Aditya Narayanaswamy, Yichuan Philip Ma, Piyush Shrivastava:
Image Detection and Digit Recognition to solve Sudoku as a Constraint Satisfaction Problem. - Afshin Sadeghi, Damien Graux, Jens Lehmann:
MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. - Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme:
Interactive Differentiable Simulation. - Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves:
Underwater Fish Detection with Weak Multi-Domain Supervision. - Doyup Lee, Suehun Jung, Yeongjae Cheon, Dongil Kim, Seungil You:
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding. - Alexander Tong, Guy Wolf, Smita Krishnaswamy:
A Lipschitz-constrained anomaly discriminator framework. - Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomír Mech, Ulrich Neumann:
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction. - Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He:
Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. - Baojian Zhou, Feng Chen, Yiming Ying:
Dual Averaging Method for Online Graph-structured Sparsity. - Amin Salehi, Hasan Davulcu:
Graph Attention Auto-Encoders. - Rasoul Shahsavarifar:
Algorithmic and geometric aspects of data depth with focus on β-skeleton depth. - Dong Xu, Wu-Jun Li:
Hashing based Answer Selection. - Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li:
Gated Group Self-Attention for Answer Selection. - Lianying Zhao, Mohammad Mannan:
TEE-aided Write Protection Against Privileged Data Tampering. - Linfeng Song, Daniel Gildea:
SemBleu: A Robust Metric for AMR Parsing Evaluation. - Jan Malakhovski, Sergei Soloviev:
Programming with Applicative-like expressions. - Hebi Li, Qi Xiao, Shixin Tian, Jin Tian:
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders. - Sitao Xiang, Hao Li:
Disentangling Style and Content in Anime Illustrations. - Manikanta Srikar Yellapragada, Konkimalla Chandra Prakash:
Variational Bayes: A report on approaches and applications. - Igor S. Sergeev:
On the monotone complexity of the shift operator. - Guanyu Cai, Yuqin Wang, Lianghua He:
Learning Smooth Representation for Unsupervised Domain Adaptation. - Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection. - Shariq Mobin, Bruno A. Olshausen:
Auditory Separation of a Conversation from Background via Attentional Gating. - Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. - Zhihong Chen, Chao Chen, Zhaowei Cheng, Ke Fang, Xinyu Jin:
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation. - Jihun Yun, Aurélie C. Lozano, Eunho Yang:
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. - Ben Amiet, Andrea Collevecchio, Marco Scarsini:
Pure Nash Equilibria and Best-Response Dynamics in Random Games. - Yash Akhauri:
HadaNets: Flexible Quantization Strategies for Neural Networks. - Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. - Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida:
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. - Gerard David Howard, Alberto Elfes:
A Staged Approach to Evolving Real-world UAV Controllers. - Michal Edelstein, Danielle Ezuz, Mirela Ben-Chen:
A Genetic Algorithm for Fully Automatic Non-Isometric Shape Matching. - Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly:
Evaluating Generative Models Using Divergence Frontiers. - Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. - Miao Cui, Guangchi Zhang, Rui Zhang:
Secure Wireless Communication via Intelligent Reflecting Surface. - Haris Aziz:
Justifications of Welfare Guarantees under Normalized Utilities. - Janosch Deurer, Fabian Kuhn, Yannic Maus:
Deterministic Distributed Dominating Set Approximation in the CONGEST Model. - Hanyang Kong, Jian Zhao, Xiaoguang Tu, Junliang Xing, Shengmei Shen, Jiashi Feng:
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation. - Haris Aziz:
Strategyproof Multi-Item Exchange Under Single-Minded Dichotomous Preferences. - Romain Belmonte, Benjamin Allaert, Pierre Tirilly, Ioan Marius Bilasco, Chaabane Djeraba, Nicu Sebe:
What is the relationship between face alignment and facial expression recognition? - Zhaoguo Wang, Changgeng Zhao, Shuai Mu, Haibo Chen, Jinyang Li:
On the parallels between Paxos and Raft, and how to port optimizations. - Damien Anderson, Cristina Guerrero-Romero, Diego Pérez-Liébana, Philip Rodgers, John Levine:
Ensemble Decision Systems for General Video Game Playing. - Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Unsupervised Intuitive Physics from Past Experiences. - Andriy Sarabakha, Erdal Kayacan:
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge. - Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth:
Why do These Match? Explaining the Behavior of Image Similarity Models. - Weiyu Liu, Angel Andres Daruna, Zsolt Kira, Sonia Chernova:
Path Ranking with Attention to Type Hierarchies. - Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing:
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification. - Tung-Wei Kuo:
Minimum Age TDMA Scheduling. - Szymon Rutkowski:
Evaluation of basic modules for isolated spelling error correction in Polish texts. - Alexander Broad, Todd D. Murphey, Brenna D. Argall:
Operation and Imitation under Safety-Aware Shared Control. - Guy Uziel:
Deep Online Learning with Stochastic Constraints. - Dave Dice, Alex Kogan:
Avoiding Scalability Collapse by Restricting Concurrency. - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. - Guy Uziel:
Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks. - Mohamed Elgharib, Mallikarjun B. R., Ayush Tewari, Hyeongwoo Kim, Wentao Liu, Hans-Peter Seidel, Christian Theobalt:
EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment. - David Simchi-Levi, Yunzong Xu:
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. - Lili Su, Pengkun Yang:
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. - Evan M. Drumwright:
An Unconditionally Stable First-Order Constraint Solver for Multibody Systems. - Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. - Michal Dory, Mohsen Ghaffari:
Improved Distributed Approximations for Minimum-Weight Two-Edge-Connected Spanning Subgraph. - Yunzhe Xue, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves:
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images. - Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. - Guy Davidson, Michael C. Mozer:
Sequential mastery of multiple tasks: Networks naturally learn to learn. - Petr N. Vabishchevich:
Approximation of a fractional power of an elliptic operator. - Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
On Coresets for Regularized Loss Minimization. - Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang:
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. - Muthu Kumar Chandrasekaran, Min-Yen Kan:
When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums. - Anne Elorza, Leticia Hernando, José Antonio Lozano:
Taxonomization of Combinatorial Optimization Problems in Fourier Space. - Guy Hacohen, Daphna Weinshall:
All Neural Networks are Created Equal. - Martin Sulzmann, Kai Stadtmüller:
Data Race Prediction for Inaccurate Traces. - Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. - Roberto Arroyo, Javier Tovar, Francisco J. Delgado, Emilio J. Almazán, Diego G. Serrador, Antonio Hurtado:
Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories. - Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
Temporal Attentive Alignment for Video Domain Adaptation. - Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton:
SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version). - Avishek Joey Bose, Andre Cianflone, William L. Hamilton:
Generalizable Adversarial Attacks Using Generative Models. - Andrea Calì, Igor Razgon:
Regular resolution for CNF of bounded incidence treewidth with few long clauses. - Sundar Krishnan, Lei Chen:
Legal Concerns and Challenges in Cloud Computing. - Pan Li, I (Eli) Chien, Olgica Milenkovic:
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. - Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. - Safa Cicek, Stefano Soatto:
Unsupervised Domain Adaptation via Regularized Conditional Alignment. - Yanai Elazar, Yoav Goldberg:
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. - Suman V. Ravuri, Oriol Vinyals:
Classification Accuracy Score for Conditional Generative Models. - Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving Change Prediction Models with Code Smell-Related Information. - Ji Ni, Bowei Chen, Nigel M. Allinson, Xujiong Ye:
A hybrid model for predicting human physical activity status from lifelogging data. - Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation. - Shuhan Wang, Hao Wu, Ji Hun Kim, Erik Andersen:
Adaptive Learning Material Recommendation in Online Language Education. - Serguei Popov:
On fast probabilistic consensus in the Byzantine setting. - Ernest K. Ryu, Kun Yuan, Wotao Yin:
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. - Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu:
Enhancing ML Robustness Using Physical-World Constraints. - Andrew Hryniowski, Alexander Wong:
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks. - Damir Ferizovic, Demian Hespe, Sebastian Lamm, Matthias Mnich, Christian Schulz, Darren Strash:
Engineering Kernelization for Maximum Cut. - Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng:
Robust Classification using Robust Feature Augmentation. - Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh:
Non-Determinism in Neural Networks for Adversarial Robustness. - Douglas Rebstock, Christopher Solinas, Michael Buro:
Learning Policies from Human Data for Skat. - Chuka Oham, Raja Jurdak, Sanjay K. Jha:
Risk Analysis Study of Fully Autonomous Vehicle. - Douglas Rebstock, Christopher Solinas, Michael Buro, Nathan R. Sturtevant:
Policy Based Inference in Trick-Taking Card Games. - Aditya Dendukuri, Blake Keeling, Arash Fereidouni, Joshua Burbridge, Khoa Luu, Hugh Churchill:
Defining Quantum Neural Networks via Quantum Time Evolution. - Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu:
SpecNet: Spectral Domain Convolutional Neural Network. - Andrea Agazzi, Jianfeng Lu:
Temporal-difference learning for nonlinear value function approximation in the lazy training regime. - Claude Crépeau, Rafael Dowsley, Anderson C. A. Nascimento:
On the Commitment Capacity of Unfair Noisy Channels. - Anthony P. Young, David Kohan Marzagão, Josh Murphy:
Applying Abstract Argumentation Theory to Cooperative Game Theory. - Yixin Li, Bin Cao, Mugen Peng, Long Zhang, Lei Zhang, Daquan Feng, Jihong Yu:
Direct Acyclic Graph based Blockchain for Internet of Things: Performance and Security Analysis. - Michail Tzoufras, Marcin Gajek, Andrew Walker:
Magnetoresistive RAM for error resilient XNOR-Nets. - Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai:
Bid Optimization by Multivariable Control in Display Advertising. - Sean Welleck, Kyunghyun Cho:
Sequential Graph Dependency Parser. - Yu Yang, Guoqiang Hu, Costas J. Spanos:
HVAC Energy Cost Optimization for a Multi-zone Building via a Decentralized Approach. - Shuai Zheng, Ziyue Huang, James T. Kwok:
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. - Masanari Kimura:
PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure. - Pedram Kheirkhah Sangdeh, Hossein Pirayesh, Adnan Quadri, Huacheng Zeng:
A Practical Spectrum Sharing Scheme for Cognitive Radio Networks: Design and Experiments. - Matthew Staib, Stefanie Jegelka:
Distributionally Robust Optimization and Generalization in Kernel Methods. - Shuzhi Yu, Carlo Tomasi:
Identity Connections in Residual Nets Improve Noise Stability. - J. Jon Ryu, Yoojin Choi, Young-Han Kim, Mostafa El-Khamy, Jungwon Lee:
Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. - Kenta Oono, Taiji Suzuki:
On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective. - Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. - Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. - Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li:
On the Evaluation Metric for Hashing. - Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. - Justin Sybrandt, Ilya Safro:
FOBE and HOBE: First- and High-Order Bipartite Embeddings. - Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. - Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao:
Dynamically Visual Disambiguation of Keyword-based Image Search. - Song Cheng, Qi Liu:
Enhancing Item Response Theory for Cognitive Diagnosis. - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
Explainable Reinforcement Learning Through a Causal Lens. - Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian:
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images. - Marie Katsurai, Shunsuke Ono:
TrendNets: Mapping Research Trends From Dynamic Co-Word Networks via Sparse Representation. - Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable deep Gaussian processes. - Frédéric Chyzak, Frank Nielsen:
A closed-form formula for the Kullback-Leibler divergence between Cauchy distributions. - Shuai Tang, Mahta Mousavi, Virginia R. de Sa:
An Empirical Study on Post-processing Methods for Word Embeddings. - Agnieszka Mikolajczyk, Michal Grochowski:
Style transfer-based image synthesis as an efficient regularization technique in deep learning. - Cole Freeman, Mrinal Kanti Roy, Michele Fattoruso, Hamed Alhoori:
Shared Feelings: Understanding Facebook Reactions to Scholarly Articles. - Xinyu Wang:
Epistemic Logic with Partial Dependency Operator. - Aravindakshan Babu, Saurabh Agarwal, Sudarshan Babu, Hariharan Chandrasekaran:
Scalable K-Medoids via True Error Bound and Familywise Bandits. - Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li:
Deep Multi-Index Hashing for Person Re-Identification. - Sulaiman Khan, Hazrat Ali, Zia Ullah, Mohammad Farhad Bulbul:
An Intelligent Monitoring System of Vehicles on Highway Traffic. - Zikai Zhang, Yidong Li, Hairong Dong, Yizhe You, Fengping Zhao:
Attention-based Supply-Demand Prediction for Autonomous Vehicles. - Jeff Clune:
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence. - Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko:
Learning to Route in Similarity Graphs. - Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. - Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum:
Commonsense Properties from Query Logs and Question Answering Forums. - Frederik Diehl:
Edge Contraction Pooling for Graph Neural Networks. - Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Graph Filtration Learning. - Valerio Bonometti, Charles Ringer, Mark Hall, Alex R. Wade, Anders Drachen:
Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability. - Shipra Sharma, Balwinder Sodhi:
Using Social Choice Theory to Finalize Architectural Decisions. - Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan:
Ordinal Distribution Regression for Gait-based Age Estimation. - Jiatao Gu, Changhan Wang, Jake Zhao:
Levenshtein Transformer. - Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu:
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. - Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. - Qi Xuan, Jun Zheng, Lihong Chen, Shanqing Yu, Jinyin Chen, Dan Zhang, Qingpeng Zhang:
Unsupervised Euclidean Distance Attack on Network Embedding. - Chengjian Sun, Chenyang Yang:
Learning to Optimize with Unsupervised Learning: Training Deep Neural Networks for URLLC. - Jørgen Bang-Jensen, Frédéric Havet, Anders Yeo:
Spanning eulerian subdigraphs in semicomplete digraphs. - Xiangmo Zhao, Xiao-Chi Li, Zhigang Xu, Ting Chen:
An Optimal Game Approach for Heterogeneous Vehicular Network Selection with Varying Network Performance. - Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Zhenyu Zhong, Tao Wei:
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking. - Ke Sun, Frank Nielsen:
Lightlike Neuromanifolds, Occam's Razor and Deep Learning. - Amanda Berg, Jörgen Ahlberg, Michael Felsberg:
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training. - David Vilares, Carlos Gómez-Rodríguez:
Harry Potter and the Action Prediction Challenge from Natural Language. - Oliviero Riganelli, Marco Mobilio, Daniela Micucci, Leonardo Mariani:
A Benchmark of Data Loss Bugs for Android Apps. - Chuheng Zhang, Yuanqi Li, Jian Li:
Policy Search by Target Distribution Learning for Continuous Control. - Chao Tao, Saúl A. Blanco, Jian Peng, Yuan Zhou:
Thresholding Bandit with Optimal Aggregate Regret. - Lutz Bornmann, Christian Ganser, Alexander Tekles, Loet Leydesdorff:
Does the hα index reinforce the Matthew effect in science? Agent-based simulations using Stata and R. - Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou:
An Open-Source Benchmark Suite for Cloud and IoT Microservices. - Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan:
LAW: Learning to Auto Weight. - José M. Barceló-Ordinas, Messaoud Doudou, Jorge García-Vidal, Nadjib Badache:
Self-Calibration Methods for Uncontrolled Environments in Sensor Networks: A Reference Survey. - Hanwei Wu, Ather Gattami, Markus Flierl:
Quantization-Based Regularization for Autoencoders. - Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme:
Dataset2Vec: Learning Dataset Meta-Features. - Mircea Digulescu:
Farsighted Collusion in Stable Marriage Problem. - Daniel Schleich, Tobias Klamt, Sven Behnke:
Value Iteration Networks on Multiple Levels of Abstraction. - Thodoris Sotiropoulos, Dimitris Mitropoulos, Diomidis Spinellis:
Detecting Missing Dependencies and Notifiers in Puppet Programs. - Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang:
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection. - Yufei Wang, Ziju Shen, Zichao Long, Bin Dong:
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. - Zhenan Feng, Vicente A. González, Robert Amor, Michael Spearpoint, Jared Thomas, Rafael Sacks, Ruggiero Lovreglio, Guillermo Cabrera-Guerrero:
An Immersive Virtual Reality Serious Game to Enhance Earthquake Behavioral Responses and Post-earthquake Evacuation Preparedness in Buildings. - Edward J. Anderson, Bo Chen, Lusheng Shao:
Capacity Games with Supply Function Competition. - Jee Seok Yoon, Wonjun Ko, Heung-Il Suk:
Plug-in Factorization for Latent Representation Disentanglement. - Cao Vien Phung, Jasenka Dizdarevic, Admela Jukan:
Enhancing Block-Wise Transfer with Network Coding in CoAP. - Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok:
A Rate-Distortion Framework for Explaining Neural Network Decisions. - Julián Urbano, Harlley Lima, Alan Hanjalic:
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors. - Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Pere Tuset-Peiró, Francisco Vazquez Gallego, Jonathan Muñoz, Thomas Watteyne, Jesus Alonso-Zarate, Xavier Vilajosana:
Experimental Interference Robustness Evaluation of IEEE 802.15.4-2015 OQPSK-DSSS and SUN-OFDM Physical Layers. - Dongming Wang, Menghan Wang, Pengcheng Zhu, Jiamin Li, Jiangzhou Wang, Xiaohu You:
Performance of Network-Assisted Full-Duplex for Cell-Free Massive MIMO. - Siddharth Reddy, Anca D. Dragan, Sergey Levine:
SQIL: Imitation Learning via Regularized Behavioral Cloning. - Zhi-Xuan Tan, Desmond C. Ong:
Bayesian Inference of Social Norms as Shared Constraints on Behavior. - Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang:
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. - Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, Arnaud Legrand, Nicolas P. Rougier:
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. - Devendra Bhave, Shankara Narayanan Krishna, Ramchandra Phawade, Ashutosh Trivedi:
On Timed Scope-bounded Context-sensitive Languages. - Eric Horton, Chris Parnin:
DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets. - M. Sadegh Talebi, Odalric-Ambrym Maillard:
Learning Multiple Markov Chains via Adaptive Allocation. - Martin Karlsson:
On Motion Control and Machine Learning for Robotic Assembly. - Martin Karlsson, Anders Robertsson, Rolf Johansson:
Autonomous Interpretation of Demonstrations for Modification of Dynamical Movement Primitives. - (Withdrawn) A collaborative filtering model with heterogeneous neural networks for recommender systems.
- Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman:
Provably Powerful Graph Networks. - Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex M. Bronstein:
Toward Self-Supervised Object Detection in Unlabeled Videos. - Devraj Mandal, Pramod Rao, Soma Biswas:
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval. - Guanzhong Tian, Yi Yuan, Yong Liu:
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. - Christian Herta, Benjamin Voigt:
Radial Prediction Layer. - Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. - Khac-Hoang Ngo, Maxime Guillaud, Alexis Decurninge, Sheng Yang, Subrata Sarkar, Philip Schniter:
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel. - Paritosh K. Pandya, Amol Wakankar:
Specification and Reactive Synthesis of Robust Controllers. - Michal Byra, Michael P. André:
Breast mass classification in ultrasound based on Kendall's shape manifold. - Xuelong Sun, Tian Liu, Cheng Hu, Qingbin Fu, Shigang Yue:
ColCOSΦ: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research. - Wojciech Michal Matkowski, Adams Wai-Kin Kong, Han Su, Peng Chen, Rong Hou, Zhihe Zhang:
Giant Panda Face Recognition Using Small Dataset. - Johannes Blum:
Hierarchy of Transportation Network Parameters and Hardness Results. - Hongyu Chen, Sören Schwertfeger:
Heterogeneous Multi-sensor Calibration based on Graph Optimization. - Miguel Jaques, Michael Burke, Timothy M. Hospedales:
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. - Xiaoqi Jia, Jianwei Tai, Qingjia Huang, Yakai Li, Weijuan Zhang, Haichao Du:
EG-GAN: Cross-Language Emotion Gain Synthesis based on Cycle-Consistent Adversarial Networks. - Martin Karlsson, Anders Robertsson, Rolf Johansson:
Temporally Coupled Dynamical Movement Primitives in Cartesian Space. - Igor Ivkic, Harald Pichler, Mario Zsilak, Andreas Mauthe, Markus Tauber:
A Framework for Measuring the Costs of Security at Runtime. - Florian Frohn, Jürgen Giesl:
Proving Non-Termination via Loop Acceleration. - Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera:
Model-Agnostic Counterfactual Explanations for Consequential Decisions. - Yanpei Huang:
Development of an Intuitive Foot-Machine Interface for Robotic Surgery. - Jintao Song, Huizhu Pan, Wuanquan Liu, Zhenkuan Pan:
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation. - Robert Feldt, Felix Dobslaw:
Towards Automated Boundary Value Testing with Program Derivatives and Search. - Riho Kawaguchi, Daichi Yanagisawa, Katsuhiro Nishinari:
Decision-making with reference information. - Günter Rote:
The Largest Quadrilateral in a Convex Polygon. - Qiang Huo, Zhenhua Wu, Weixing Huang, Xingsheng Wang, Geyu Tang, Jiaxin Yao, Yongpan Liu, Feng Zhang, Ling Li, Ming Liu:
A Novel General Compact Model Approach for 7nm Technology Node Circuit Optimization from Device Perspective and Beyond. - Francesco Croce, Matthias Hein:
Provable robustness against all adversarial lp-perturbations for p≥1. - (Withdrawn) Soft Options Critic.
- Farhad Shakerin, Gopal Gupta:
Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining. - P. Balasubramanian, Douglas L. Maskell, Nikos E. Mastorakis:
Indicating Asynchronous Multipliers. - Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels. - Linhao Dong, Bo Xu:
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition. - Francesco Malandrino, Carla-Fabiana Chiasserini, Giada Landi:
Service Shifting: a Paradigm for Service Resilience in 5G. - Shang-Yu Su, Yun-Nung Chen:
Bridging Dialogue Generation and Facial Expression Synthesis. - Andrew Collins, Jöran Beel:
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems. - Pablo Strasser, Stéphane Armand, Stéphane Marchand-Maillet, Alexandros Kalousis:
Learning by stochastic serializations. - Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet:
Kernel Conditional Density Operators. - Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Radar-based Feature Design and Multiclass Classification for Road User Recognition. - Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gasic, Kai Yu:
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning. - (Withdrawn) Stochastic Multi-armed Bandits with Arm-specific Fairness Guarantees.
- Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton:
Combating Adversarial Misspellings with Robust Word Recognition. - Julia Navarro, Neus Sabater:
Learning Occlusion-Aware View Synthesis for Light Fields. - Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. - Boris Ginsburg, Patrice Castonguay, Oleksii Hrinchuk, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Huyen Nguyen, Jonathan M. Cohen:
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. - Luka V. Petrovic, Ingo Scholtes:
Counting Causal Paths in Big Times Series Data on Networks. - Tianjian Chen, Long Wang, Maximilian Haas-Heger, Matei T. Ciocarlie:
Tendon-driven Underactuated Hand Design via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces. - Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song:
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. - Alon Gonen, Elad Hazan, Shay Moran:
Private Learning Implies Online Learning: An Efficient Reduction. - Natalie Schluter:
On approximating dropout noise injection. - Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar:
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. - Alessandro Neri, Sven Puchinger, Anna-Lena Horlemann-Trautmann:
Invariants and Inequivalence of Linear Rank-Metric Codes. - Senanayak Sesh Kumar Karri, Francis R. Bach, Thomas Pock:
Fast Decomposable Submodular Function Minimization using Constrained Total Variation. - Swapnil Das, Jim Demmel, Kimon Fountoulakis, Laura Grigori, Michael W. Mahoney:
Parallel and Communication Avoiding Least Angle Regression. - Shawn M. Jones, Michele C. Weigle, Michael L. Nelson:
Social Cards Probably Provide For Better Understanding Of Web Archive Collections. - Nadav Dym, Barak Sober, Ingrid Daubechies:
Expression of Fractals Through Neural Network Functions. - Robert C. Holte, Rubén Majadas, Alberto Pozanco, Daniel Borrajo:
Error Analysis and Correction for Weighted A*'s Suboptimality (Extended Version). - Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Laurynas Miksys, Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr:
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate. - Georgia Avarikioti, Eleftherios Kokoris-Kogias, Roger Wattenhofer:
Brick: Asynchronous State Channels. - Lee Cohen, Zachary C. Lipton, Yishay Mansour:
Efficient candidate screening under multiple tests and implications for fairness. - Hamed Vahdat-Nejad:
Context-Aware Middleware: A Review. - Abdulaziz Alaboudi, Thomas D. LaToza:
Supporting Software Engineering Research and Education by Annotating Public Videos of Developers Programming. - Wei Hu, Zhiyuan Li, Dingli Yu:
Understanding Generalization of Deep Neural Networks Trained with Noisy Labels. - Relja Arandjelovic, Andrew Zisserman:
Object Discovery with a Copy-Pasting GAN. - Winter Guerra, Ezra Tal, Varun Murali, Gilhyun Ryou, Sertac Karaman:
FlightGoggles: Photorealistic Sensor Simulation for Perception-driven Robotics using Photogrammetry and Virtual Reality. - Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai:
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks. - Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio, Michael C. Mozer:
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. - Diana F. Sousa, Andre Lamurias, Francisco M. Couto:
Using Neural Networks for Relation Extraction from Biomedical Literature. - Wenchao Lin, Xiao Ma, Suihua Cai, Baodian Wei:
Statistical Learning Aided List Decoding of Semi-Random Block Oriented Convolutional Codes. - Mengyang Chen, Jin Zeng, Jie Lou:
A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications. - Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye:
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. - Pedro Ascencio, Kirk Smith, David A. Howey, Charles W. Monroe:
A State Observer Design for Simultaneous Estimation of Charge State and Crossover in Self-Discharging Disproportionation Redox Flow Batteries. - Abhinav Kumar, Thiago Serra, Srikumar Ramalingam:
Equivalent and Approximate Transformations of Deep Neural Networks. - Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications. - Ke Wang, Mihai Christodorescu:
COSET: A Benchmark for Evaluating Neural Program Embeddings. - Lihua Jian, Xiaomin Yang, Zheng Liu, Gwanggil Jeon, Mingliang Gao, David Chisholm:
A Symmetric Encoder-Decoder with Residual Block for Infrared and Visible Image Fusion. - Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizhou Li, Satoshi Nakamura:
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019. - Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Differentiable Quantization of Deep Neural Networks. - Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. - Marjan Albooyeh, Daniele Bertolini, Siamak Ravanbakhsh:
Incidence Networks for Geometric Deep Learning. - Mohammadreza Ghanbari, Hamidreza Arian:
Forecasting Stock Market with Support Vector Regression and Butterfly Optimization Algorithm. - Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. - Dinh-Luan Nguyen, Anil K. Jain:
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae. - Sheikh Rabiul Islam, William Eberle, Sid C. Bundy, Sheikh Khaled Ghafoor:
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction. - Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde:
Divide-and-Conquer Adversarial Detection. - Tianju Sui, Damián Marelli, Ximing Sun, Minyue Fu:
Multi-sensor State Estimation over Lossy Channels using Coded Measurements. - Annie Cherkaev, Waiming Tai, Jeff M. Phillips, Vivek Srikumar:
Learning In Practice: Reasoning About Quantization. - Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart:
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. - Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari:
Generalization Bounds in the Predict-then-Optimize Framework. - Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
FAN: Focused Attention Networks. - Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon:
One-Shot Learning for Text-to-SQL Generation. - Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz:
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. - Julia Chuzhoy, Sanjeev Khanna:
A New Algorithm for Decremental Single-Source Shortest Paths with Applications to Vertex-Capacitated Flow and Cut Problems. - Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala, Tome Eftimov, James Zou, Suzanne Tamang:
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic. - Alex Gain, Hava T. Siegelmann:
Deep Neural Networks Abstract Like Humans. - Dora Jambor, Peng Yu:
On a scalable problem transformation method for multi-label learning. - Kush R. Varshney, Aleksandra Mojsilovic:
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact. - Valentin Khrulkov, Ivan V. Oseledets:
Universality Theorems for Generative Models. - Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. - Murad Abu-Khalaf, Sertac Karaman, Daniela Rus:
Shared Linear Quadratic Regulation Control: A Reinforcement Learning Approach. - Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor:
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. - Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. - Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao:
Efficient Network Construction through Structural Plasticity. - Amir Ziai:
Compositional pre-training for neural semantic parsing. - Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher J. Pal:
Structure Learning for Neural Module Networks. - Xiaocong Du, Zheng Li, Yu Cao:
CGaP: Continuous Growth and Pruning for Efficient Deep Learning. - Robert Porter:
OrderNet: Ordering by Example. - Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli:
Reasoning about Quality and Fuzziness of Strategic Behaviours. - Mandar Dixit, Yunsheng Li, Nuno Vasconcelos:
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. - Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. - Naveed Akhtar, Mohammad A. A. K. Jalwana, Mohammed Bennamoun, Ajmal Mian:
Label Universal Targeted Attack. - Michal Derezinski, Michael W. Mahoney:
Distributed estimation of the inverse Hessian by determinantal averaging. - Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao:
Single-Net Continual Learning with Progressive Segmented Training (PST). - Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. - Vidya Muthukumar, Anant Sahai:
Robust Commitments and Partial Reputation. - Ting Huang, Gehui Shen, Zhi-Hong Deng:
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. - Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang:
Road Segmentation with Image-LiDAR Data Fusion. - Andy T. Liu, Po-Chun Hsu, Hung-yi Lee:
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion. - Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody:
Adversarially Robust Learning Could Leverage Computational Hardness. - Qiong Wu, Felix Ming Fai Wong, Zhenming Liu, Yanhua Li, Varun Kanade:
Adaptive Reduced Rank Regression. - Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. - Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. - Philipp Bamberger, Mohsen Ghaffari, Fabian Kuhn, Yannic Maus, Jara Uitto:
On the Complexity of Distributed Splitting Problems. - Minje Park:
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels. - Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-stream Cooperation. - Emmanuel Noutahi, Dominique Beaini, Julien Horwood, Prudencio Tossou:
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. - Michael B. Cohen, Ben Cousins, Yin Tat Lee, Xin Yang:
A near-optimal algorithm for approximating the John Ellipsoid. - Chengxu Zhuang, Xuehao Ding, Divyanshu Murli, Daniel Yamins:
Local Label Propagation for Large-Scale Semi-Supervised Learning. - Ziqiang Zheng, Hongzhi Liu, Zhibin Yu, Haiyong Zheng, Yang Wu, Yang Yang, Jianbo Shi:
EncryptGAN: Image Steganography with Domain Transform. - Ruihan Yang, Qiwei Ye, Tie-Yan Liu:
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy. - Evgeny Burnaev:
Rare Failure Prediction via Event Matching for Aerospace Applications. - Guillaume Dupont, Jerry den Hartog, Sandro Etalle, Alexios Lekidis:
Network intrusion detection systems for in-vehicle network - Technical report. - Enmei Tu, Jie Yang:
A Review of Semi Supervised Learning Theories and Recent Advances. - Yufei Wang, Qiwei Ye, Tie-Yan Liu:
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function. - Sharan Ramjee, Aly El Gamal:
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination. - Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan:
Inference with Hybrid Bio-hardware Neural Networks. - Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. - Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. - Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak:
SGD on Neural Networks Learns Functions of Increasing Complexity. - Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu:
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. - Rida A. Bazzi, Maurice Herlihy:
Clairvoyant State Machine Replication. - (Withdrawn) Average Bias and Polynomial Sources.
- Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon:
Uncertainty-based Continual Learning with Adaptive Regularization. - Yuanxin Wu:
Next-Generation Inertial Navigation Computation Based on Functional Iteration. - Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. - Kenshin Abe, Zijian Xu, Issei Sato, Masashi Sugiyama:
Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge. - Zih-Siou Hung, Arun Mallya, Svetlana Lazebnik:
Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation. - Mingshuai Chen, Jian Wang, Jie An, Bohua Zhan, Deepak Kapur, Naijun Zhan:
NIL: Learning Nonlinear Interpolants. - Abu Sufian, Farhana Sultana, Paramartha Dutta:
Data Load Balancing In Mobile Ad Hoc Network Using Fuzzy Logic (DBMF). - Marco Guermandi, Simone Benatti, Davide Brunelli, Victor Javier Kartsch, Luca Benini:
Towards a Wearable Interface for Food Quality Grading through ERP Analysis. - Songyang Zhang, Shipeng Yan, Xuming He:
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. - Hamid Javadi, Randall Balestriero, Richard G. Baraniuk:
A Hessian Based Complexity Measure for Deep Networks. - Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. - Markos Papageorgiou, Kyriakos-Simon Mountakis, Iasson Karafyllis, Ioannis Papamichail:
Lane-free Artificial-Fluid Concept for Vehicular Traffic. - Abu Sufian, Anuradha Banerjee, Paramartha Dutta:
Cheat-Proof Communication through Cluster Head (C3H) in Mobile Ad Hoc Network. - Wojciech Michal Matkowski, Krzysztof Matkowski, Adams Wai-Kin Kong, Cory Lloyd Hall:
The Nipple-Areola Complex for Criminal Identification. - Ahmed Hussein, Mahmoud Barhamgi, Massimo Vecchio, Charith Perera:
Crowdsourced Peer Learning Activity for Internet of Things Education: A Case Study. - Yuxian Meng, Muyu Li, Wei Wu, Jiwei Li:
DSReg: Using Distant Supervision as a Regularizer. - Dan Levi, Liran Gispan, Niv Giladi, Ethan Fetaya:
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. - Binghui Peng, Wei Chen:
Adaptive Influence Maximization with Myopic Feedback. - Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun:
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. - Artur Strzelecki:
A Framework for App Store Optimization. - Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian:
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks. - Muhammad Asim, Ali Ahmed, Paul Hand:
Invertible generative models for inverse problems: mitigating representation error and dataset bias. - Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang:
A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. - Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
Brain Signal Classification via Learning Connectivity Structure. - Phani Raj Lolakapuri, Umang Bhaskar, Ramasuri Narayanam, Gyana R. Parija, Pankaj S. Dayama:
Computational Aspects of Equilibria in Discrete Preference Games. - Matthew C. Robinson, Robert C. Glen, Alpha A. Lee:
Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction. - Won-Ik Cho, Ji Won Kim, Seok Min Kim, Nam Soo Kim:
On Measuring Gender Bias in Translation of Gender-neutral Pronouns. - Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang:
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation. - Valeria Fionda, Giuseppe Pirrò:
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs. - Eyal Nussbaum, Michael Segal:
Privacy Vulnerabilities of Dataset Anonymization Techniques. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets. - Daniel E. Worrall, Max Welling:
Deep Scale-spaces: Equivariance Over Scale. - Ines Hajri, Arda Goknil, Fabrizio Pastore, Lionel C. Briand:
Automating Test Case Classification and Prioritization for Use Case-Driven Testing in Product Lines. - Marc Sarfati, Anthony Hu, Jonathan Donier:
Ensemble-based cover song detection. - Simon D. Duque Antón, Hans Dieter Schotten:
Putting Together the Pieces: A Concept for Holistic Industrial Intrusion Detection. - Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed:
Conditions on Features for Temporal Difference-Like Methods to Converge. - Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. - Theodoros Karagkioules, Georgios S. Paschos, Nikolaos Liakopoulos, Attilio Fiandrotti, Dimitrios Tsilimantos, Marco Cagnazzo:
Online Learning for Robust Adaptive Video Streaming in Mobile Networks. - Roland Pellegrini, Igor Ivkic, Markus Tauber:
Function-as-a-Service Benchmarking Framework. - Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang:
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. - Maksim Belousov, Nikola Milosevic, William G. Dixon, Goran Nenadic:
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017. - Maxim Borisyak, Nikita Kazeev:
Machine Learning on data with sPlot background subtraction. - Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama:
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation. - Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson:
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. - Sze-Teng Liong, Yee Siang Gan, Yen-Chang Huang, Kun-Hong Liu, Wei-Chuen Yau:
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification. - Nao Hirokawa, Julian Nagele, Vincent van Oostrom, Michio Oyamaguchi:
Confluence by Critical Pair Analysis Revisited (Extended Version). - Stefano Tortora, Stefano Michieletto, Francesca Stival, Emanuele Menegatti:
Fast human motion prediction for human-robot collaboration with wearable interfaces. - Simon Duque Antón, Daniel Fraunholz, Stephan Teuber, Hans Dieter Schotten:
A Question of Context: Enhancing Intrusion Detection by Providing Context Information. - Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. - Deepayan Das, Jerin Philip, Minesh Mathew, C. V. Jawahar:
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections. - Yigit Ugur, George Arvanitakis, Abdellatif Zaidi:
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding. - Congzheng Song, Vitaly Shmatikov:
Overlearning Reveals Sensitive Attributes. - Thomas Espitau, Antoine Joux:
Certified lattice reduction. - Vítor Cerqueira, Luís Torgo, Igor Mozetic:
Evaluating time series forecasting models: An empirical study on performance estimation methods. - Arsalan Sharif-Nassab, S. Jamaloddin Golestani:
When do Trajectories have Bounded Sensitivity to Cumulative Perturbations. - Simon Duque Antón, Daniel Fraunholz, Dennis Krummacker, Christoph Fischer, Michael Karrenbauer, Hans Dieter Schotten:
The Dos and Don'ts of Industrial Network Simulation: A Field Report. - Simon Duque Antón, Suneetha Kanoor, Daniel Fraunholz, Hans Dieter Schotten:
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set. - Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge:
Manipulating a Learning Defender and Ways to Counteract. - Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer:
Two-level Explanations in Music Emotion Recognition. - Maciej Kokocinski, Tadeusz Kobus, Pawel T. Wojciechowski:
On mixing eventual and strong consistency: Bayou revisited. - Werner Damm, Martin Fränzle, Willem Hagemann, Paul Kröger, Astrid Rakow:
Justification Based Reasoning in Dynamic Conflict Resolution. - Ankit Jalan, Purushottam Kar:
Accelerating Extreme Classification via Adaptive Feature Agglomeration. - David Chettrit, Orna Bregman-Amitai, Itamar Tamir, Amir Bar, Eldad Elnekave:
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension. - Pekka Siirtola, Heli Koskimäki, Juha Röning:
Importance of user inputs while using incremental learning to personalize human activity recognition models. - Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu:
Effect of context in swipe gesture-based continuous authentication on smartphones. - Zhengguang Zhou, Wengang Zhou, Xutao Lv, Xuan Huang, Xiaoyu Wang, Houqiang Li:
Progressive Learning of Low-Precision Networks. - Nour Karessli, Romain Guigourès, Reza Shirvany:
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. - Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling:
Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning. - Zhengguang Zhou, Wengang Zhou, Richang Hong, Houqiang Li:
Online Filter Clustering and Pruning for Efficient Convnets. - Stefan Reif, Andreas Schmidt, Timo Hönig, Thorsten Herfet, Wolfgang Schröder-Preikschat:
Δelta: Differential Energy-Efficiency, Latency, and Timing Analysis for Real-Time Networks. - Zijia Li, Andreas Müller:
Mechanism Singularities Revisited from an Algebraic Viewpoint. - Mevlut Serkan Tok, Osman Tufan Tekin, Kemal Bicakci:
Analyzing Turkish F and Turkish E keyboard layouts using learning curves. - Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet:
Repeated A/B Testing. - Yongyi Tang, Lin Ma, Lianqiang Zhou:
Hallucinating Optical Flow Features for Video Classification. - Haytham H. Elmousalami:
Prediction of Construction Cost for Field Canals Improvement Projects in Egypt. - Jiangning Zhang, Xianfang Zeng, Yusu Pan, Yong Liu, Yu Ding, Changjie Fan:
FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment. - Andrei Catalin Coman, Koichiro Yoshino, Yukitoshi Murase, Satoshi Nakamura, Giuseppe Riccardi:
An Incremental Turn-Taking Model For Task-Oriented Dialog Systems. - Andrew Powell:
Artificial Consciousness and Security. - Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean M. Tullsen, Hadi Esmaeilzadeh:
Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge. - Julian Zimmert, Tor Lattimore:
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio. - Vincent Arcila, Isabel Piedrahita, Mauricio Toro:
Robotic bees: Algorithms for collision detection and prevention. - Soham Deshmukh, Rahul Rade, Faruk Kazi:
Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models. - Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Compositional Convolutional Networks For Robust Object Classification under Occlusion. - Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang:
AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. - Nathaniel Lahn, Deepika Mulchandani, Sharath Raghvendra:
A Graph Theoretic Additive Approximation of Optimal Transport. - Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder:
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. - Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. - Mariya Toneva, Leila Wehbe:
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). - Marie-Christine Bornes-Varol, Marie-Sol Ortola, Jean-Daniel Gronoff:
Specific polysemy of the brief sapiential units. - Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. - Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya:
A Parameterized Perspective on Protecting Elections. - Pamela Fleischmann, Mitja Kulczynski, Dirk Nowotka:
On Collapsing Prefix Normal Words. - Diane Bouchacourt, Ludovic Denoyer:
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction. - Matteo Gallet, Niels Lubbes, Josef Schicho, Jan Vrsek:
Reconstruction of rational ruled surfaces from their silhouettes. - Özlem Salehi, Abuzer Yakaryilmaz, A. C. Cem Say:
New Results on Vector and Homing Vector Automata. - Peixian Chen, Pingyang Dai, Qiong Wu, Yuyu Huang:
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding. - Levi N. Naden, Sam Ellis, Shantenu Jha:
MolSSI and BioExcel Workflow Workshop 2018 Report. - Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner:
When can unlabeled data improve the learning rate? - Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. - Diane Bouchacourt, Marco Baroni:
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances. - Dong Lu, Dingkang Wang, Fanghui Xiao:
Factorizations for a Class of Multivariate Polynomial Matrices. - Fran Casino, Kim-Kwang Raymond Choo, Constantinos Patsakis:
HEDGE: Efficient Traffic Classification of Encrypted and Compressed Packets. - Antoine Cully:
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors. - C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
Chasing Convex Bodies with Linear Competitive Ratio. - Constantinos Patsakis, Fran Casino:
Hydras and IPFS: A Decentralised Playground for Malware. - Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. - Poorya Mianjy, Raman Arora:
On Dropout and Nuclear Norm Regularization. - Jayadev Acharya, Ziteng Sun:
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. - Marc Rußwurm, Sébastien Lefèvre, Marco Körner:
BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification. - Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. - Rico Sennrich, Biao Zhang:
Revisiting Low-Resource Neural Machine Translation: A Case Study. - Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale:
Correlation Clustering with Adaptive Similarity Queries. - Bor-Chun Chen, Larry S. Davis, Ser-Nam Lim:
An Analysis of Object Embeddings for Image Retrieval. - George Retsinas, Athena Elafrou, Georgios I. Goumas, Petros Maragos:
RecNets: Channel-wise Recurrent Convolutional Neural Networks. - Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman:
Controlling Neural Level Sets. - Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. - Oliver Johnson:
Maximal correlation and the rate of Fisher information convergence in the Central Limit Theorem. - Arpit Jadon, Mohd. Omama, Akshay Varshney, Mohammad Samar Ansari, Rishabh Sharma:
FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications. - Ari Kobren, Barna Saha, Andrew McCallum:
Paper Matching with Local Fairness Constraints. - Luciano da F. Costa:
Quantifying Complexity. - Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. - S. R. Nandakumar, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Bipin Rajendran:
Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. - Armin Biess, Aryeh Kontorovich, Yury Makarychev, Hanan Zaichyk:
Regression via Kirszbraun Extension with Applications to Imitation Learning. - Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. - Boyang Deng, Simon Kornblith, Geoffrey E. Hinton:
Cerberus: A Multi-headed Derenderer. - Mingxing Tan, Quoc V. Le:
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. - Clément L. Canonne, Gautam Kamath, Audra McMillan, Jonathan R. Ullman, Lydia Zakynthinou:
Private Identity Testing for High-Dimensional Distributions. - Pei Li, Michael H. Böhlen, Jaroslaw Szlichta, Divesh Srivastava:
Discovery of Band Order Dependencies. - Chengxu Zhuang, Alex Andonian, Daniel Yamins:
Unsupervised Learning from Video with Deep Neural Embeddings. - Anna Philippou, Kyriaki Psara, Harun Siljak:
Controlling Reversibility in Reversing Petri Nets with Application to Wireless Communications. - Juliano Henrique Foleiss, Tiago Fernandes Tavares:
Texture Selection for Automatic Music Genre Classification. - Petra Berenbrink, Dominik Kaaser, Tomasz Radzik:
On Counting the Population Size. - Mostafa Haghir Chehreghani:
Sketch-based Randomized Algorithms for Dynamic Graph Regression. - Mark Sellke:
Chasing Convex Bodies Optimally. - Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. - Thomas Durieux, Fernanda Madeiral, Matias Martinez, Rui Abreu:
Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2, 141 Bugs and 23, 551 Repair Attempts. - Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung:
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. - Yanshuai Cao, Peng Xu:
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer. - Pim de Haan, Dinesh Jayaraman, Sergey Levine:
Causal Confusion in Imitation Learning. - Haoming Li, Sujoy Sikdar, Rohit Vaish, Junming Wang, Lirong Xia, Chaonan Ye:
Minimizing Time-to-Rank: A Learning and Recommendation Approach. - David Rozado:
Algorithmic Bias and the Biases of the Bias Catchers. - Daniel Vriesman, Alessandro Zimmer, Alceu S. Britto Jr., Alessandro L. Koerich:
Texture CNN for Thermoelectric Metal Pipe Image Classification. - Jonathan de Matos, Alceu de Souza Britto Jr., Luiz Eduardo Soares de Oliveira, Alessandro L. Koerich:
Texture CNN for Histopathological Image Classification. - Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. - Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade, Alexis Asseman, Ahmet S. Ozcan:
Leveraging Medical Visual Question Answering with Supporting Facts. - Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
A Control-Model-Based Approach for Reinforcement Learning. - Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh:
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. - Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran:
Image Alignment in Unseen Domains via Domain Deep Generalization. - Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. - Tian Guo, Tao Lin, Nino Antulov-Fantulin:
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. - Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. - Michail C. Doukas, Viktoriia Sharmanska, Stefanos Zafeiriou:
Video-to-Video Translation for Visual Speech Synthesis. - Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. - Andrew Stirn, Tony Jebara, David A. Knowles:
A New Distribution on the Simplex with Auto-Encoding Applications. - Henrik Grønholt Jensen, François Lauze, Sune Darkner:
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images. - Celine Irvene, David Formby, Raheem Beyah:
On Evaluating the Effectiveness of the HoneyBot: A Case Study. - Hagit Attiya, Constantin Enea:
Putting Strong Linearizability in Context: Preserving Hyperproperties in Programs that Use Concurrent Objects. - Richard Sproat, Jan P. H. van Santen:
Automatic Ambiguity Detection. - Rafael T. Anchiêta, Marco Antonio Sobrevilla Cabezudo, Thiago A. S. Pardo:
SEMA: an Extended Semantic Evaluation Metric for AMR. - Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín, Daniel Borrajo:
Guarantees for Sound Abstractions for Generalized Planning (Extended Paper). - Cesar Santoyo, Maxence Dutreix, Samuel Coogan:
Verification and Control for Finite-Time Safety of Stochastic Systems via Barrier Functions. - Benjamin Burchfiel, George Dimitri Konidaris:
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. - Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie:
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. - Dylan C. Tannugi, Alceu S. Britto Jr., Alessandro L. Koerich:
Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition. - Maroua Nouiri, Damien Trentesaux, Abdelghani Bekrar:
EasySched: a multi-agent architecture for the predictive and reactive scheduling of Industry 4.0 production systems based on the available renewable energy. - Aditya Bhaskara, Wai Ming Tai:
Approximate Guarantees for Dictionary Learning. - Yoonseon Oh, Roma Patel, Thao Nguyen, Baichuan Huang, Ellie Pavlick, Stefanie Tellex:
Planning with State Abstractions for Non-Markovian Task Specifications. - Piero Molino, Yang Wang, Jiawei Zhang:
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. - Eugene Bagdasaryan, Vitaly Shmatikov:
Differential Privacy Has Disparate Impact on Model Accuracy. - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristics in Multi-Winner Approval Voting. - Alexander Levine, Sahil Singla, Soheil Feizi:
Certifiably Robust Interpretation in Deep Learning. - Jeongyeol Kwon, Constantine Caramanis:
EM Converges for a Mixture of Many Linear Regressions. - Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough:
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers. - Tianyi Zhang, Di Yang, Cristina Videira Lopes, Miryung Kim:
Analyzing and Supporting Adaptation of Online Code Examples. - Tianlin Liu:
Harnessing Slow Dynamics in Neuromorphic Computation. - Yizhen Wang, Kamalika Chaudhuri:
An Investigation of Data Poisoning Defenses for Online Learning. - Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. - Ethan Steinberg, Peter J. Liu:
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models. - Shariq Iqbal, Fei Sha:
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. - James B. Aimone, William Severa, Craig M. Vineyard:
Composing Neural Algorithms with Fugu. - Prudencio Tossou, Basile Dura, François Laviolette, Mario Marchand, Alexandre Lacoste:
Adaptive Deep Kernel Learning. - Edmon Begoli, Tyler Akidau, Fabian Hueske, Julian Hyde, Kathryn Knight, Kenneth L. Knowles:
One SQL to Rule Them All. - Yassin Khalifa, Justin Hawks, Ervin Sejdic:
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems. - Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Virendra J. Marathe, Igor Zablotchi:
The Impact of RDMA on Agreement. - Marwa El Halabi, Stefanie Jegelka:
Minimizing approximately submodular functions. - Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. - Arushi Gupta, Sanjeev Arora:
A Simple Saliency Method That Passes the Sanity Checks. - Michael Mitzenmacher:
The Supermarket Model with Known and Predicted Service Times. - Vikas K. Garg, Tommi S. Jaakkola:
Solving graph compression via optimal transport. - Reza Vosooghi, Jakob Puchinger, Joschka Bischoff, Marija Jankovic, Anthony Vouillon:
Shared Autonomous Electric Vehicle Service Performance: Assessing the Impact of Charging Infrastructure and Battery Capacity. - Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. - Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen:
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE. - Vikas K. Garg, Tommi S. Jaakkola:
Strategic Prediction with Latent Aggregative Games. - Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. - Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma:
Brain-inspired reverse adversarial examples. - Kun Su, Eli Shlizerman:
Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks. - Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings. - David Brandfonbrener, Joan Bruna:
On the Expected Dynamics of Nonlinear TD Learning. - Michael K. Cohen, Badri N. Vellambi, Marcus Hutter:
Asymptotically Unambitious Artificial General Intelligence. - Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu:
Exploiting Persona Information for Diverse Generation of Conversational Responses. - Zhengqiang Zhang, Shujian Yu, Shi Yin, Qinmu Peng, Xinge You:
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation. - Junnan Song, Shalabh Gupta:
CARE: Cooperative Autonomy for Resilience and Efficiency of Robot Teams for Complete Coverage of Unknown Environments under Robot Failures. - Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex. - Tianyin Xu:
Configuration Testing: Testing Configuration Values Together with Code Logic. - Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. - Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao:
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation. - Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson:
A Topology Layer for Machine Learning. - Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans:
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. - Xuanwu Liu, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Weakly-paired Cross-Modal Hashing. - Hyunwook Kang, Aydar Mynbay, James R. Morrison, Jinkyoo Park:
Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection. - Joe Kileel, Matthew Trager, Joan Bruna:
On the Expressive Power of Deep Polynomial Neural Networks. - Alessandro Achille, Stefano Soatto:
Where is the Information in a Deep Neural Network? - Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh:
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. - Pengfei Jin, Tianhao Lai, Rongjie Lai, Bin Dong:
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds. - Beakal Gizachew Assefa, Öznur Özkasap:
EPT: Energy Profit Threshold Metric and Algorithm for Energy Efficient Routing in SDN. - Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
Using Micro-collections in Social Media to Generate Seeds for Web Archive Collections. - Minlong Peng, Qi Zhang:
Address Instance-level Label Prediction in Multiple Instance Learning. - Peng Chen, Jianzhong Liu, Hao Chen:
Matryoshka: fuzzing deeply nested branches. - Naoyuki Kanda, Christoph Böddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach:
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. - Yoichi Iwata, Yusuke Kobayashi:
Improved Analysis of Highest-Degree Branching for Feedback Vertex Set. - Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. - Simon Duque Antón, Daniel Fraunholz, Christoph Lipps, Khurshid Alam, Hans Dieter Schotten:
Putting Things in Context: Securing Industrial Authentication with Context Information. - Na Dong, Wen-Qi Zhang, Zhongke Gao:
Research on fuzzy PID Shared control method of small brain-controlled uav. - Xuelong Li, Aihong Yuan, Xiaoqiang Lu:
Vision-to-Language Tasks Based on Attributes and Attention Mechanism. - Sarah Gross, Xingxing Wei, Jun Zhu:
Automatic Realistic Music Video Generation from Segments of Youtube Videos. - Feng Zhou:
Efficient EM-Variational Inference for Hawkes Process. - Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller:
Instant Quantization of Neural Networks using Monte Carlo Methods. - Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu:
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. - Vihan Jain, Gabriel Magalhães, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge:
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation. - Kyungeun Lee, Wonjong Rhee:
Graph Convolutional Modules for Traffic Forecasting. - Karan Singhal, Karthik Raman, Balder ten Cate:
Learning Multilingual Word Embeddings Using Image-Text Data. - Che-Han Chang, Chun-Hsien Yu, Szu-Ying Chen, Edward Y. Chang:
KG-GAN: Knowledge-Guided Generative Adversarial Networks. - Antonio Anastasio Bruto da Costa, Goran Frehse, Pallab Dasgupta:
Flexible Mining of Prefix Sequences from Time-Series Traces. - Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek:
Privacy Amplification by Mixing and Diffusion Mechanisms. - Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec:
Pre-training Graph Neural Networks. - Reza Vosooghi, Joseph Kamel, Jakob Puchinger, Vincent Leblond, Marija Jankovic:
Robo-Taxi service fleet sizing: assessing the impact of user trust and willingness-to-use. - Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-specific Representation for Novel Words in Sequence Labeling. - Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels:
An Inertial Newton Algorithm for Deep Learning. - Léonard Hussenot, Matthieu Geist, Olivier Pietquin:
Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations. - Pekka Siirtola, Heli Koskimäki, Juha Röning:
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone. - Sanket Tavarageri:
Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support. - Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou:
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? - Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio:
Attention Based Pruning for Shift Networks. - Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. - Guichen Zhang, Pedram Ghamisi, Xiao Xiang Zhu:
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones. - Mingfei Sun, Xiaojuan Ma:
Adversarial Imitation Learning from Incomplete Demonstrations. - Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang:
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. - Kiminori Iriyama:
A Method of Expressing the Magnitude of Merit of Being Able to Access a Side Information During Encoding. - Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen:
Complex-valued neural networks for machine learning on non-stationary physical data. - Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey:
A Study of BFLOAT16 for Deep Learning Training. - Antonio Jesús Muñoz-Montoro, Pedro Vera-Candeas, David Suarez-Dou, Raquel Cortina:
A new definition of the distortion matrix for an audio-to-score alignment system. - Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric, Emmanuel Dupoux, Marco Baroni:
Word-order biases in deep-agent emergent communication. - Naveen Mellempudi, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul:
Mixed Precision Training With 8-bit Floating Point. - Andreas Spitz, Satya Almasian, Michael Gertz:
TopExNet: Entity-Centric Network Topic Exploration in News Streams. - Gavneet Singh Chadha, Andreas Schwung:
Learning the Non-linearity in Convolutional Neural Networks. - Matthijs Van Keirsbilck, Alexander Keller, Xiaodong Yang:
Rethinking Full Connectivity in Recurrent Neural Networks. - Yuangang Pan, Weijie Chen, Gang Niu, Ivor W. Tsang, Masashi Sugiyama:
Fast and Robust Rank Aggregation against Model Misspecification. - Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. - Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Nyström landmark sampling and regularized Christoffel functions. - Yang Yao, Xu Zhang, Baile Xu, Furao Shen, Jian Zhao:
Super Interaction Neural Network. - Victor Cook, Zachary Painter, Christina L. Peterson, Damian Dechev:
Read-Uncommitted Transactions for Smart Contract Performance. - Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha:
SECRET: Semantically Enhanced Classification of Real-world Tasks. - Arsalan Sharif-Nassab, John N. Tsitsiklis, S. Jamaloddin Golestani:
Nonexpansive Piecewise Constant Hybrid Systems are Conservative. - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel López-Antequera, Peter Kontschieder:
Disentangling Monocular 3D Object Detection. - Chang Li, Maarten de Rijke:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. - Michal Garlík:
Resolution Lower Bounds for Refutation Statements. - Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. - Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis:
Reallocating Multiple Facilities on the Line. - Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang:
Coherent Semantic Attention for Image Inpainting. - Erwin Quiring, Alwin Maier, Konrad Rieck:
Misleading Authorship Attribution of Source Code using Adversarial Learning. - Frank van Harmelen, Annette ten Teije:
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems. - Jeppe Nørregaard, Lars Kai Hansen:
Probabilistic Decoupling of Labels in Classification. - Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng:
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking. - Lutz Bornmann, K. Brad Wray, Robin Haunschild:
Citation concept analysis (CCA) - A new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by two exemplary case studies including classic books by Thomas S. Kuhn and Karl R. Popper. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Designing and Implementing Data Warehouse for Agricultural Big Data. - Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
VecHGrad for solving accurately complex tensor decomposition. - Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Bernard Ghanem:
Probabilistically True and Tight Bounds for Robust Deep Neural Network Training. - Bastien Maubert, Sophie Pinchinat, François Schwarzentruber:
Reachability Games in Dynamic Epistemic Logic. - Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis:
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. - Haizhong Zheng, Earlence Fernandes, Atul Prakash:
Analyzing the Interpretability Robustness of Self-Explaining Models. - Antoine Ledent, Yunwen Lei, Marius Kloft:
Improved Generalisation Bounds for Deep Learning Through L∞ Covering Numbers. - Balamurali B. T., Kin Wah Edward Lin, Simon Lui, Jer-Ming Chen, Dorien Herremans:
Towards robust audio spoofing detection: a detailed comparison of traditional and learned features. - Minsuk Shin, Young Lee, Jun S. Liu:
Generative Parameter Sampler For Scalable Uncertainty Quantification. - Simon Duque Antón, Michael Gundall, Daniel Fraunholz, Hans Dieter Schotten:
Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods. - Andrzej Blikle:
An Experiment with a User Manual of a Programming Language Based on a Denotational Semantics. - Antoine Mottet, Karin Quaas:
On the Containment Problem for Unambiguous Single-Register Automata with Guessing. - Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Learning for Bug-Localization in Student Programs. - Jiazhu Dai, Chuanshuai Chen, Yike Guo:
A backdoor attack against LSTM-based text classification systems. - Paolo Di Lillo, Filippo Arrichiello, Gianluca Antonelli, Stefano Chiaverini:
Safety-related Tasks within the Set-Based Task-Priority Inverse Kinematics Framework. - Yu Nakahata:
On the Clique-Width of Unigraphs. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Hierarchical Feature Aggregation Networks for Video Action Recognition. - Luigi Portinale:
Approaching Adaptation Guided Retrieval in Case-Based Reasoning through Inference in Undirected Graphical Models. - Dave McEwan, José L. Núñez-Yáñez:
Relationship Detection Measures for Binary SoC Data. - Robert Schöne, Thomas Ilsche, Mario Bielert, Andreas Gocht, Daniel Hackenberg:
Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance. - François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia Prosperi, Jiang Bian:
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. - Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. - Soaad Hossain:
Complexity Analysis of Approaching Clinical Psychiatry with Predictive Analytics and Neural Networks. - Samuel Cris Ayo:
Data Breach e-Crime, A Case Study and Legal Analysis. - Thomas Bläsius, Philipp Fischbeck, Tobias Friedrich, Martin Schirneck:
Understanding the Effectiveness of Data Reduction in Public Transportation Networks. - Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. - Pascal Ochem, Alexandre Pinlou:
Oriented coloring of graphs with low maximum degree. - Kaylen J. Pfisterer, Jennifer Boger, Alexander Wong:
Food for thought: Ethical considerations of user trust in computer vision. - Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. - Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida:
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. - Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem:
Are Disentangled Representations Helpful for Abstract Visual Reasoning? - Han Bao, Masashi Sugiyama:
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification. - Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Smooth Shells: Multi-Scale Shape Registration with Functional Maps. - Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber:
Racial Bias in Hate Speech and Abusive Language Detection Datasets. - Dennis Peuter, Viorica Sofronie-Stokkermans:
On Invariant Synthesis for Parametric Systems. - Ricard Durall, Franz-Josef Pfreundt, Janis Keuper:
Stabilizing GANs with Octave Convolutions. - Penelope Faulkner Rainford, Angelika Sebald, Susan Stepney:
MetaChem: An Algebraic Framework for Artificial Chemistries. - Diana Peters, Philipp Martin Fischer, Philipp Matthias Schäfer, Kobkaew Opasjumruskit, Andreas Gerndt:
Digital Availability of Product Information for Collaborative Engineering of Spacecraft. - Adarsh Barik, Jean Honorio:
Learning Bayesian Networks with Low Rank Conditional Probability Tables. - Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition. - Ensar Seker:
Use of Artificial Intelligence Techniques / Applications in Cyber Defense. - Frederik Kunstner, Lukas Balles, Philipp Hennig:
Limitations of the Empirical Fisher Approximation. - Kshitij Tiwari, Xuesu Xiao, Ville Kyrki, Nak Young Chong:
ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle. - Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna:
On the equivalence between graph isomorphism testing and function approximation with GNNs. - Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux, Marco Baroni:
Anti-efficient encoding in emergent communication. - Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. - Mohamed Aturban, Sawood Alam, Michael L. Nelson, Michele C. Weigle:
Archive Assisted Archival Fixity Verification Framework. - Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Modified Q-Learning for Vasicek Model. - Jérémy Charlier, Radu State, Jean Hilger:
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. - Chi-Wei Hsiao, Cheng Sun, Min Sun, Hwann-Tzong Chen:
Flat2Layout: Flat Representation for Estimating Layout of General Room Types. - Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. - Khurram Javed, Martha White:
Meta-Learning Representations for Continual Learning. - Yun Shen, Gianluca Stringhini:
ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks. - Si Kai Lee, Luigi Gresele, Mijung Park, Krikamol Muandet:
Private Causal Inference using Propensity Scores. - Guillermo Suarez-Tangil, Matthew Edwards, Claudia Peersman, Gianluca Stringhini, Awais Rashid, Monica T. Whitty:
Automatically Dismantling Online Dating Fraud. - Hengchu Zhang, Edo Roth, Andreas Haeberlen, Benjamin C. Pierce, Aaron Roth:
Fuzzi: A Three-Level Logic for Differential Privacy. - Mihai Cristian Pîrvu, Alexandra Anghel:
Predicting next shopping stage using Google Analytics data for E-commerce applications. - Asaf Amrami, Yoav Goldberg:
Towards better substitution-based word sense induction. - Philip M. Long, Hanie Sedghi:
Size-free generalization bounds for convolutional neural networks. - Sawood Alam, Michele C. Weigle, Michael L. Nelson, Fernando Melo, Daniel Bicho, Daniel Gomes:
MementoMap Framework for Flexible and Adaptive Web Archive Profiling. - Ashish Kumar, Saurabh Gupta, Jitendra Malik:
Learning Navigation Subroutines by Watching Videos. - Sunny Duan, Nicholas Watters, Loic Matthey, Chris Burgess, Alexander Lerchner, Irina Higgins:
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning. - Pan Xu, Felicia Gao, Quanquan Gu:
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient. - Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. - Giulia Vezzani, Abhishek Gupta, Lorenzo Natale, Pieter Abbeel:
Learning latent state representation for speeding up exploration. - Idan Rejwan, Yishay Mansour:
Combinatorial Bandits with Full-Bandit Feedback: Sample Complexity and Regret Minimization. - Pekka Siirtola, Heli Koskimäki, Juha Röning:
Personalizing human activity recognition models using incremental learning. - Fabio Paolizzo, Natalia Pichierri, Daniele Casali, Daniele Giardino, Marco Matta, Giovanni Costantini:
Multilabel Automated Recognition of Emotions Induced Through Music. - Oscar J. Romero:
Cognitively-inspired Agent-based Service Composition for Mobile & Pervasive Computing. - Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu:
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. - Joerg Evermann, Henry M. Kim:
Workflow Management on BFT Blockchains. - Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. - Daniel Stoller, Sebastian Ewert, Simon Dixon:
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators. - Adam Bielski, Paolo Favaro:
Emergence of Object Segmentation in Perturbed Generative Models. - Darwin Saire Pilco, Adín Ramírez Rivera:
Graph Learning Network: A Structure Learning Algorithm. - Anthony C. Constantinou:
Evaluating structure learning algorithms with a balanced scoring function. - Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang:
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes. - Young Hun Jung, Ambuj Tewari:
Regret Bounds for Thompson Sampling in Restless Bandit Problems. - Agnieszka Falenska, Jonas Kuhn:
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. - Rozenn Dahyot, Hana Alghamdi, Mairéad Grogan:
Entropic Regularisation of Robust Optimal Transport. - Andrew W. Stephan, Qiuwen Lou, Michael T. Niemier, Xiaobo Sharon Hu, Steven J. Koester:
Nonvolatile Spintronic Memory Cells for Neural Networks. - Weiyao Wang, Du Tran, Matt Feiszli:
What Makes Training Multi-Modal Networks Hard? - Xiaoke Shen:
A survey of Object Classification and Detection based on 2D/3D data. - Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes:
Learning Representations by Humans, for Humans. - Guido Caldarelli, Rocco De Nicola, Fabio Del Vigna, Marinella Petrocchi, Fabio Saracco:
The role of bot squads in the political propaganda on Twitter. - Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig:
Choosing Transfer Languages for Cross-Lingual Learning. - Günter Wallner, Simone Kriglstein, Anders Drachen:
Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game. - Charalambos D. Charalambous, Jan H. van Schuppen:
A New Approach to Lossy Network Compression of a Tuple of Correlated Multivariate Gaussian RVs. - Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam, Chun-Chen Tu:
Generating Contrastive Explanations with Monotonic Attribute Functions. - Marina Minkin, Daniel Moghimi, Moritz Lipp, Michael Schwarz, Jo Van Bulck, Daniel Genkin, Daniel Gruss, Frank Piessens, Berk Sunar, Yuval Yarom:
Fallout: Reading Kernel Writes From User Space. - Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Spatial Evolutionary Generative Adversarial Networks. - Athma Narayanan, Isht Dwivedi, Behzad Dariush:
Dynamic Traffic Scene Classification with Space-Time Coherence. - Benson Chen, Regina Barzilay, Tommi S. Jaakkola:
Path-Augmented Graph Transformer Network. - Andrew Halterman:
Geolocating Political Events in Text. - Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran:
An adaptive nearest neighbor rule for classification. - Valérie Hayot-Sasson, Tristan Glatard:
Evaluation of pilot jobs for Apache Spark applications on HPC clusters. - Ashok Cutkosky, Tamás Sarlós:
Matrix-Free Preconditioning in Online Learning. - Jiawei Mo, Junaed Sattar:
Extending Monocular Visual Odometry to Stereo Camera System by Scale Optimization. - Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger:
Diffusion Variational Autoencoders. - Sergio Lucarini, Javier Segurado:
DBFFT: A displacement based FFT approach for homogenization of the mechanical behavior. - Marc Brittain, Joshua R. Bertram, Xuxi Yang, Peng Wei:
Prioritized Sequence Experience Replay. - Fernando Martínez-Plumed, Cèsar Ferri, David Nieves, José Hernández-Orallo:
Fairness and Missing Values. - Badih Ghazi, Rina Panigrahy, Joshua R. Wang:
Recursive Sketches for Modular Deep Learning. - Earl T. Barr, David W. Binkley, Mark Harman, Mohamed Nassim Seghir:
Sub-Turing Islands in the Wild. - Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. - Victor Veitch, Dhanya Sridhar, David M. Blei:
Using Text Embeddings for Causal Inference. - Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau:
Fair Decision Making using Privacy-Protected Data. - Aurko Roy, David Grangier:
Unsupervised Paraphrasing without Translation. - Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian:
Clustering without Over-Representation. - Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum:
MCompiler: A Synergistic Compilation Framework. - Ranjith Dinakaran, Philip Easom, Li Zhang, Ahmed Bouridane, Richard Jiang, Eran A. Edirisinghe:
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks. - Mikolaj Binkowski, R. Devon Hjelm, Aaron C. Courville:
Batch weight for domain adaptation with mass shift. - Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward. - Seung Yeob Shin, Shiva Nejati, Mehrdad Sabetzadeh, Lionel C. Briand, Chetan Arora, Frank Zimmer:
Dynamic Adaptive Network Configuration for IoT Systems: A Search-based Approach. - Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier:
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder:
d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding. - Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. - Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola:
Latent Space Secrets of Denoising Text-Autoencoders. - Vineet Goyal, Rajan Udwani:
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path Based Formulation. - Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi:
Learning to Crawl. - Mina Karzand, Robert D. Nowak:
Active Learning in the Overparameterized and Interpolating Regime. - Alessio Ansuini, Alessandro Laio, Jakob H. Macke, Davide Zoccolan:
Intrinsic dimension of data representations in deep neural networks. - Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal:
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. - Elman Mansimov, Alex Wang, Kyunghyun Cho:
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models. - Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris:
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. - Yuping Lin, Kasra Ahmadi K. A., Hui Jiang:
Bandlimiting Neural Networks Against Adversarial Attacks. - Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh:
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation. - Yusu Qian, Urwa Muaz, Ben Zhang, Jae Won Hyun:
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function. - (Withdrawn) A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files.
- Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore:
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. - Abdalla Swikir, Majid Zamani:
Compositional Synthesis of Symbolic Models for Networks of Switched Systems. - Saraju P. Mohanty, Elias Kougianos:
iVAMS 1.0: Polynomial-Metamodel-Integrated Intelligent Verilog-AMS for Fast, Accurate Mixed-Signal Design Optimization. - Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha:
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models. - Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen:
Deep Learning Approach for Receipt Recognition. - Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang:
Deep ensemble learning for Alzheimers disease classification. - Youssef Mroueh:
Wasserstein Style Transfer. - Haijun Liu, Jian Cheng, Shiguang Wang, Wen Wang:
Attention: A Big Surprise for Cross-Domain Person Re-Identification. - Ba Xuan Nguyen, Markus Luczak-Rösch, Jesse David Dinneen:
Exploring the Effects of Data Set Choice on Measuring International Research Collaboration: an Example Using the ACM Digital Library and Microsoft Academic Graph. - Xingyuan Chen, Yanzhe Li, Peng Jin, Jiuhua Zhang, Xinyu Dai, Jiajun Chen, Gang Song:
Adversarial Sub-sequence for Text Generation. - Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su:
The General Pair-based Weighting Loss for Deep Metric Learning. - Courtney Williams, Margaret-Anne D. Storey, Neil A. Ernst, Alexey Zagalsky, Eirini Kalliamvakou:
Methodology Matters: How We Study Socio-Technical Aspects in Software Engineering. - Karl Krauth, Stephen Tu, Benjamin Recht:
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. - Alekh Agarwal, Miroslav Dudík, Zhiwei Steven Wu:
Fair Regression: Quantitative Definitions and Reduction-based Algorithms. - Ning Wang, Xianhan Zeng, Renjie Xie, Zefei Gao, Yi Zheng, Ziran Liao, Junyan Yang, Qiao Wang:
Unsupervised Classification of Street Architectures Based on InfoGAN. - Xiang Li, Chan Lu, Danni Cheng, Weihong Li, Mei Cao, Bo Liu, Jiechao Ma, Wei-Shi Zheng:
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks. - Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita:
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension. - Yu Bai, Tengyang Xie, Nan Jiang, Yu-Xiang Wang:
Provably Efficient Q-Learning with Low Switching Cost. - Hang Yan, Sachini Herath, Yasutaka Furukawa:
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods. - Takuya Mieno, Dominik Köppl, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Compact Data Structures for Shortest Unique Substring Queries. - A. K. M. Bahalul Haque, Rabeya Sultana, Mohammad Sajid Fahad, M. D. Nasif Latif, Md. Amdadul Bari:
XDoser, A Benchmarking Tool for System Load Measurement Using Denial of Service Features. - Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. - Ye Guo, Yali Li, Shengjin Wang:
Hierarchical Structure and Joint Training for Large Scale Semi-supervised Object Detection. - Samuel Barham, Soheil Feizi:
Interpretable Adversarial Training for Text. - Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. - Dae Ung Jo, Byeongju Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi:
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators. - Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. - Hideaki Hayashi, Seiichi Uchida:
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. - Nicolas Pinchaud:
Information theoretic learning of robust deep representations. - Guillermo Angeris, Kunal Shah, Mac Schwager:
Fast Reciprocal Collision Avoidance Under Measurement Uncertainty. - Tommy Liu, Jochen Renz, Peng Zhang, Matthew Stephenson:
Using Restart Heuristics to Improve Agent Performance in Angry Birds. - Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang:
Multi-Objective Generalized Linear Bandits. - Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. - Hrushikesh N. Mhaskar, Tomaso A. Poggio:
Function approximation by deep networks. - Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu:
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. - Fabio Paolizzo:
M-GWAP: An Online and Multimodal Game With A Purpose in WordPress for Mental States Annotation. - Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. - Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. - Brady Zhou, Philipp Krähenbühl, Vladlen Koltun:
Does computer vision matter for action? - Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Imitation Learning as f-Divergence Minimization. - Nicolas Pinchaud:
Unsupervised pre-training helps to conserve views from input distribution. - Vahid Yazdanpanah, Devrim Murat Yazan, Jos van Hillegersberg, Mehdi Dastani:
An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. - Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. - Dave Deriso, Stephen P. Boyd:
A General Optimization Framework for Dynamic Time Warping. - Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung:
A Compare-Aggregate Model with Latent Clustering for Answer Selection. - Ziheng Zhang, Anpei Chen, Ling Xie, Jingyi Yu, Shenghua Gao:
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation. - Bjarke Mønsted, Sune Lehmann:
Algorithmic Detection and Analysis of Vaccine-Denialist Sentiment Clusters in Social Networks. - Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert:
Deep multi-class learning from label proportions. - Xuecheng Liu, Luoyi Fu, Bo Jiang, Xiaojun Lin, Xinbing Wang:
Information Source Detection with Limited Time Knowledge. - Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. - Yang-En Chen, Kai-Fu Tang, Yu-Shao Peng, Edward Y. Chang:
Effective Medical Test Suggestions Using Deep Reinforcement Learning. - Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. - Teng Xue, Wenhai Liu, Mingshuo Han, Zhenyu Pan, Jin Ma, Quanquan Shao, Weiming Wang:
Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge. - Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona:
Quantifying the alignment of graph and features in deep learning. - Junaid Rashid, Toqeer Mahmood, Muhammad Wasif Nisar:
A Study on Software Metrics and its Impact on Software Quality. - Tom Hess, Sivan Sabato:
Sequential no-Substitution k-Median-Clustering. - Ke Wang, Hang Hua, Xiaojun Wan:
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation. - Filippo Arrichiello, Paolo Di Lillo, Daniele Di Vito, Gianluca Antonelli, Stefano Chiaverini:
Assistive robot operated via P300-based Brain Computer Interface. - Swati Bhardwaj, Madhu Raka:
Skew constacyclic codes over a non-chain ring Fq[u, v]/〈f(u), g(v), uv-vu〉. - Jan Bydzovsky, Jan Krajícek, Igor C. Oliveira:
Consistency of circuit lower bounds with bounded theories. - Jan Melchior, Mehdi Bayati, Amir Hossein Azizi, Sen Cheng, Laurenz Wiskott:
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences. - Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs with Recursive Tree Search and Planning. - Sung-Hyeon Joo, Sumaira Manzoor, Yuri Goncalves Rocha, Hyun-Uk Lee, Tae-Yong Kuc:
A Realtime Autonomous Robot Navigation Framework for Human like High-level Interaction and Task Planning in Global Dynamic Environment. - René Haberland, Kirill Krinkin:
A Non-repetitive Logic for Verification of Dynamic Memory with Explicit Heap Conjunction and Disjunction. - Paolo Di Lillo, Stefano Chiaverini, Gianluca Antonelli:
Handling robot constraints within a Set-Based Multi-Task Priority Inverse Kinematics Framework. - Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik:
One-element Batch Training by Moving Window. - Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang:
Equipping Experts/Bandits with Long-term Memory. - Ehsan Toreini, Maryam Mehrnezhad, Siamak F. Shahandashti, Feng Hao:
DOMtegrity: Ensuring Web Page Integrity against Malicious Browser Extensions. - Chung Chan, Ali Al-Bashabsheh, Hing Pang Huang, Michael Lim, Da Sun Handason Tam, Chao Zhao:
Neural Entropic Estimation: A faster path to mutual information estimation. - Jude Okwuibe, Juuso Haavisto, Erkki Harjula, Ijaz Ahmad, Mika Ylianttila:
Orchestrating Service Migration for Low Power MEC-Enabled IoT Devices. - Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene:
Learning Nonsymmetric Determinantal Point Processes. - Omar al Duhaiby, Jan Friso Groote:
Distribution of Behaviour into Parallel Communicating Subsystems. 54-68 - Zhengui Xue, Zhiwei Lin, Hui Wang, Sally I. McClean:
Quantifying consensus of rankings based on q-support patterns. - Marcel Kurovski, Florian Wilhelm:
On the Effectiveness of Low-rank Approximations for Collaborative Filtering compared to Neural Networks. - Biwei Li, Zhenqiang Mi, Yu Guo, Yang Yang, Mohammad S. Obaidat:
Partial Computing Offloading Assisted Cloud Point Registration in Multi-robot SLAM. - Anirban Chakraborty, Sarani Bhattacharya, Debdeep Mukhopadhyay:
Using Memory Allocation Schemes in Linux to Exploit DRAM Vulnerability: with Rowhammer as a Case Study. - Álvaro Peris, Francisco Casacuberta:
Interactive-predictive neural multimodal systems. - Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier González:
Meta-Surrogate Benchmarking for Hyperparameter Optimization. - Felipe A. Louza, Sabrina Mantaci, Giovanni Manzini, Marinella Sciortino, Guilherme P. Telles:
Inducing the Lyndon Array. - Aji Resindra Widya, Yusuke Monno, Kosuke Imahori, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki:
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion. - Mauro Maggioni, James M. Murphy:
Learning by Active Nonlinear Diffusion. - Vladislav Ryzhikov, Przemyslaw Andrzej Walega, Michael Zakharyaschev:
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics (Full Version). - Diego Calvanese, Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Formal Modeling and SMT-Based Parameterized Verification of Multi-Case Data-Aware BPMN. - Evgeniy O. Kiktenko, Mikhail A. Kudinov, Andrey A. Bulychev, Aleksey K. Fedorov:
Proof-of-forgery for hash-based signatures. - Junjun Pan, Nicolas Gillis:
Generalized Separable Nonnegative Matrix Factorization. - Nicolò Pagliana, Lorenzo Rosasco:
Implicit Regularization of Accelerated Methods in Hilbert Spaces. - Jatinder Singh, Jennifer Cobbe:
The Security Implications of Data Subject Rights. - Arthur Charlesworth:
Definitively Identifying an Inherent Limitation to Actual Cognition. - Pratyush Mahapatra, Mark D. Hill, Michael M. Swift:
Don't Persist All : Efficient Persistent Data Structures. - Julien Berger, Denys Dutykh:
Evaluation of the reliability of building energy performance models for parameter estimation. - Chengjian Sun, Chenyang Yang:
Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications. - Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger:
PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders. - Lilya Budaghyan, Nikolay S. Kaleyski, Soonhak Kwon, Constanza Riera, Pantelimon Stanica:
Partially APN Boolean functions and classes of functions that are not APN infinitely often. - Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. - Clément Calauzènes, Thomas Nedelec, Vianney Perchet, Noureddine El Karoui:
Robust Stackelberg buyers in repeated auctions. - Julien Berger, Suelen Gasparin, Denys Dutykh, Nathan Mendes:
On the comparison of three numerical methods applied to building simulation: finite-differences, RC circuit approximation and a spectral method. - Chungkwong Chan:
Memory-efficient and fast implementation of local adaptive binarization methods. - Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran:
Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models. - Na Dong, Wen-Qi Zhang, Zhongke Gao:
Shared control schematic for brain controlled vehicle based on fuzzy logic. - Xiaoran Xu, Wei Feng, Zhiqing Sun, Zhi-Hong Deng:
Neural Consciousness Flow. - Roman V. Yampolskiy:
Unpredictability of AI. - Liam Hayes, Hendra Gunadi, Adrian Herrera, Jonathon Milford, Shane Magrath, Maggi Sebastian, Michael Norrish, Antony L. Hosking:
MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation. - Fabio Calefato, Filippo Lanubile, Bogdan Vasilescu:
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem. - Lum Ramabaja:
The Bloom Clock. - Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon:
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting. - António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, André F. T. Martins:
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing. - Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto:
Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty. - Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. - Iryna Kulchytska-Ruchka, Herbert De Gersem, Sebastian Schöps:
An efficient steady-state analysis of the eddy current problem using a parallel-in-time algorithm. - Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. - Manuele Rusci, Alessandro Capotondi, Luca Benini:
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers. - Qingchao Li:
A Novel Time-Based Modulation Scheme in Time-Asynchronous Channels for Molecular Communications. - Zhongliang Yang, Ke Wang, Jian Li, Yongfeng Huang, Yu-Jin Zhang:
TS-RNN: Text Steganalysis Based on Recurrent Neural Networks. - Daewon Seo, Avhishek Chatterjee, Lav R. Varshney:
On Multiple-Access Systems with Queue-Length Dependent Service Quality. - Zsolt Zombori, Adrián Csiszárik, Henryk Michalewski, Cezary Kaliszyk, Josef Urban:
Towards Finding Longer Proofs. - Wei Ouyang, Florian Mueller, Martin Hjelmare, Emma Lundberg, Christophe Zimmer:
ImJoy: an open-source computational platform for the deep learning era. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version). - Ajinkya Borle, Josh McCarter:
On Post-Processing the Results of Quantum Optimizers. - Alberto Marchesi, Matteo Castiglioni, Nicola Gatti:
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version). - Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson:
Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies. - (Withdrawn) A Deep Framework for Bone Age Assessment based on Finger Joint Localization.
- Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif:
Seeker: Real-Time Interactive Search. - Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi:
Automatic Evaluation of Local Topic Quality. - Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao:
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation. - Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. - Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. - Seoungjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang:
SAIN: Self-Attentive Integration Network for Recommendation. - Mathias Kraus, Stefan Feuerriegel:
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. - Kevin Joseph, Hui Jiang:
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs. - (Withdrawn) Collaborative Self-Attention for Recommender Systems.
- Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski:
FairSearch: A Tool For Fairness in Ranked Search Results. - Katy Williams, Alex Bigelow, Kate Isaacs:
Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns. - Amber Nigam, Aakash Roy, Hartaran Singh, Aabhas Tonwer:
Job Recommendation through Progression of Job Selection. - Xin Jin, Cuiling Lan, Wenjun Zeng, Guoqiang Wei, Zhibo Chen:
Semantics-Aligned Representation Learning for Person Re-identification. - Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Prostate Cancer Detection using Deep Convolutional Neural Networks. - Rakshit Sunil Kothari, Zhizhuo Yang, Christopher Kanan, Reynold Bailey, Jeff B. Pelz, Gabriel J. Diaz:
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities. - Manpreet Singh Minhas, John S. Zelek:
Anomaly Detection in Images. - Qun Song, Zhenyu Yan, Rui Tan:
Moving Target Defense for Deep Visual Sensing against Adversarial Examples. - Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
The Art of Food: Meal Image Synthesis from Ingredients. - Joachim Fainberg, Ondrej Klejch, Steve Renals, Peter Bell:
Lattice-based lightly-supervised acoustic model training. - Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. - Emil Jerábek:
Rules with parameters in modal logic II. - Subhojyoti Mukherjee, Odalric-Ambrym Maillard:
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits. - Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. - Yang Liu, Mirella Lapata:
Hierarchical Transformers for Multi-Document Summarization. - Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez:
Defining Admissible Rewards for High Confidence Policy Evaluation. - Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi:
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. - Alberto Padoan, Fulvio Forni, Rodolphe Sepulchre:
Dominance margins for feedback systems. - Phillip Smith, Anh Luong, Shamik Sarkar, Harsimran Singh, Neal Patwari, Sneha Kumar Kasera, Kurt Derr, Samuel Ramirez:
Sitara: Spectrum Measurement Goes Mobile Through Crowd-sourcing. - Jenny Liu, Aviral Kumar, Jimmy Ba, Jamie Kiros, Kevin Swersky:
Graph Normalizing Flows. - Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith:
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential. - Jesse Hostetler:
Toward Runtime-Throttleable Neural Networks. - Mohammad Reza Amini, Yiheng Feng, Hao Wang, Ilya V. Kolmanovsky, Jing Sun:
Thermal Responses of Connected HEVs Engine and Aftertreatment Systems to Eco-Driving. - Minjie Xu, Gary Kazantsev:
Understanding Goal-Oriented Active Learning via Influence Functions. - Mikolaj Bojanczyk, Sandra Kiefer, Nathan Lhote:
String-to-String Interpretations with Polynomial-Size Output. - Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes:
Ridesharing with Driver Location Preferences. - Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu:
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. - Peter Bubenik, Michael Hull, Dhruv Patel, Benjamin Whittle:
Persistent homology detects curvature. - Vineeth S. Bhaskara, Sneha Desai:
Exploiting Uncertainty of Loss Landscape for Stochastic Optimization. - Raphael Steiner, Sebastian Wiederrecht:
Parametrised Algorithms for Directed Modular Width. - Eric R. Anschütz, Cristian Zanoci:
Near-Term Quantum-Classical Associative Adversarial Networks. - Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold:
An attention-based multi-resolution model for prostate whole slide imageclassification and localization. - Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova:
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. - Yuan Cao, Quanquan Gu:
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks. - Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka:
What Can Neural Networks Reason About? - Xiaofeng Li, Ahmed Alkhateeb:
Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems. - Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. - Ismael T. Freire, Xerxes D. Arsiwalla, Jordi-Ysard Puigbò, Paul F. M. J. Verschure:
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control. - Ba Xuan Nguyen, Jesse David Dinneen, Markus Luczak-Rösch:
Enriching Bibliographic Data by Combining String Matching and the Wikidata Knowledge Graph to Improve the Measurement of International Research Collaboration. - Ali Dehghan, Amir H. Banihashemi:
Cospectral Bipartite Graphs with the Same Degree Sequences but with Different Number of Large Cycles. - Mark Bun, Gautam Kamath, Thomas Steinke, Zhiwei Steven Wu:
Private Hypothesis Selection. - Mehdi Behroozi:
Largest Inscribed Rectangles in Geometric Convex Sets. - Hui Lin:
SDN-based In-network Honeypot: Preemptively Disrupt and Mislead Attacks in IoT Networks. - Sultan Daud Khan, Habib Ullah:
A survey of advances in vision-based vehicle re-identification. - Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu:
Large Scale Incremental Learning. - Isabel Wagner, Yuchen Zhao:
Using Metrics Suites to Improve the Measurement of Privacy in Graphs. - William G. La Cava, Lee Spector, Kourosh Danai:
Epsilon-Lexicase Selection for Regression. - Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold:
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. - Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir:
Exploring Computational User Models for Agent Policy Summarization. - Alina Ene, Huy L. Nguyen:
Parallel Algorithm for Non-Monotone DR-Submodular Maximization. - Khoi D. Hoang, William Yeoh, Makoto Yokoo, Zinovi Rabinovich:
New Algorithms for Functional Distributed Constraint Optimization Problems. - Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan:
Efficient Covariance Estimation from Temporal Data. - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. - Dylan J. Foster, Andrej Risteski:
Sum-of-squares meets square loss: Fast rates for agnostic tensor completion. - Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan:
Identifying Classes Susceptible to Adversarial Attacks. - You Lu, Bert Huang:
Structured Output Learning with Conditional Generative Flows. - Pang Wei Koh, Kai-Siang Ang, Hubert H. K. Teo, Percy Liang:
On the Accuracy of Influence Functions for Measuring Group Effects. - Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy:
Counting and Segmenting Sorghum Heads. - Henger Li, Zizhan Zheng:
Optimal Timing of Moving Target Defense: A Stackelberg Game Model. - Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters:
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. - Mostafa Elhoushi, Farhan Shafiq, Ye Henry Tian, Joey Yiwei Li, Zihao Chen:
DeepShift: Towards Multiplication-Less Neural Networks. - Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos:
A Survey on Biomedical Image Captioning. - Tsung Wei Tsai, Chongxuan Li, Jun Zhu:
DS3L: Deep Self-Semi-Supervised Learning for Image Recognition. - Charles Lehman, Dogancan Temel, Ghassan AlRegib:
Implicit Background Estimation for Semantic Segmentation. - Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka:
Real-time Approximate Bayesian Computation for Scene Understanding. - Jesse A. Livezey, Ahyeon Hwang, Kristofer E. Bouchard:
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations. - Jordan F. Masakuna:
Machine Learning Methods for Shark Detection. - Junwei Liang, Jay D. Aronson, Alexander G. Hauptmann:
Technical Report of the DAISY System - Shooter Localization, Models, Interface, and Beyond. - Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang:
Graph Attention Memory for Visual Navigation. - Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi:
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. - Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael L. Littman:
Combating the Compounding-Error Problem with a Multi-step Model. - Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J. Liu:
Assessing The Factual Accuracy of Generated Text. - Biao Zhang, Rico Sennrich:
A Lightweight Recurrent Network for Sequence Modeling. - Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner:
Grammar-based Neural Text-to-SQL Generation. - Rui Wang, Guoyin Wang, Ricardo Henao:
Discriminative Clustering for Robust Unsupervised Domain Adaptation. - Shuai Wang, Yuyan Bao, Xiao Liu, Pei Wang, Danfeng Zhang, Dinghao Wu:
Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation. - Rafael-Michael Karampatsis, Charles Sutton:
How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset. - Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian:
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data. - Hsin-Po Wang, Iwan M. Duursma:
Log-logarithmic Time Pruned Polar Coding. - Nan Jiang:
On Value Functions and the Agent-Environment Boundary. - Pritish Uplavikar, Zhenyu Wu, Zhangyang Wang:
All-In-One Underwater Image Enhancement using Domain-Adversarial Learning. - Zaccary Alperstein, Artem Cherkasov, Jason Tyler Rolfe:
All SMILES VAE. - Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. - Daniel McKenzie, Steven Damelin:
Power Weighted Shortest Paths for Unsupervised Learning. - Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis:
INFaaS: Managed & Model-less Inference Serving. - Sabine Wehnert, Sayed Anisul Hoque, Wolfram Fenske, Gunter Saake:
Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions. - Hafiz Mohsin Bashir, Abdullah Bin Faisal, Muhammad Asim Jamshed, Peter Vondras, Ali Musa Iftikhar, Ihsan Ayyub Qazi, Fahad R. Dogar:
Reducing Tail Latency via Safe and Simple Duplication. - Rachel Bawden, Sophie Rosset, Thomas Lavergne, Éric Bilinski:
DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation. - Nilay Tiwari, Arnob Ghosh, Vaneet Aggarwal:
Reinforcement Learning for Mean Field Game. - Haoshuo Huang, Vihan Jain, Harsh Mehta, Jason Baldridge, Eugene Ie:
Multi-modal Discriminative Model for Vision-and-Language Navigation. - Fahad AlGhamdi, Mona T. Diab:
Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data. - Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey:
Efficient Forward Architecture Search. - Yasith Jayawardana, Sampath Jayarathna:
DFS: A Dataset File System for Data Discovering Users. - Bo Wang, Baixiang Xue, Anthony G. Greenwald:
Can We Derive Explicit and Implicit Bias from Corpus? - Zakaria Mhammedi, Peter D. Grünwald, Benjamin Guedj:
PAC-Bayes Un-Expected Bernstein Inequality. - Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari:
Fast Online "Next Best Offers" using Deep Learning. - Sam Kumar, Yuncong Hu, Michael P. Andersen, Raluca Ada Popa, David E. Culler:
JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT. - Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros:
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. - Satoru Iwata, Yusuke Kobayashi:
A Weighted Linear Matroid Parity Algorithm. - Mariya Popova, Mykhailo Shvets, Junier Oliva, Olexandr Isayev:
MolecularRNN: Generating realistic molecular graphs with optimized properties. - Kunle Olukotun, Raghu Prabhakar, Rekha Singhal, Jeffrey D. Ullman, Yaqi Zhang:
Efficient Multiway Hash Join on Reconfigurable Hardware. - Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek:
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management. - Enrique Areyan Viqueira, Cyrus Cousins, Eli Upfal, Amy Greenwald:
Learning Equilibria of Simulation-Based Games. - Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. - Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang:
Supervised Online Hashing via Similarity Distribution Learning. - Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke:
Using Latent Variable Models to Observe Academic Pathways. - Kai Rothauge, Zhewei Yao, Zixi Hu, Michael W. Mahoney:
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization. - Haonan Wang, Jun Lin, Zhongfeng Wang:
Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm. - Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao:
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1. - Yao Xiao:
Vehicle Detection in Deep Learning. - Shah Rukh Qasim, Hassan Mahmood, Faisal Shafait:
Rethinking Table Parsing using Graph Neural Networks. - Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Deep ordinal classification based on cumulative link models. - Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenming Tang:
Deep Representation Learning for Road Detection through Siamese Network. - Yuan Gong, Boyang Li, Christian Poellabauer, Yiyu Shi:
Real-Time Adversarial Attacks. - Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg:
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. - Jiaxu Cui, Bo Yang, Xia Hu:
Deep Bayesian Optimization on Attributed Graphs. - Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell:
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing. - Yuandong Tian, Tina Jiang, Qucheng Gong, Ari S. Morcos:
Luck Matters: Understanding Training Dynamics of Deep ReLU Networks. - Te Juin Lester Tan, Reza Shokri:
Bypassing Backdoor Detection Algorithms in Deep Learning. - Markus N. Rabe, Leander Tentrup, Cameron Rasmussen, Sanjit A. Seshia:
Understanding and Extending Incremental Determinization for 2QBF. - Zhengbao Jiang, Pengcheng Yin, Graham Neubig:
Improving Open Information Extraction via Iterative Rank-Aware Learning. - Elias Stehle, Hans-Arno Jacobsen:
ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data. - Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley:
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. - Lin Song, Shiwei Zhang, Gang Yu, Hongbin Sun:
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection. - Konstantinos Kogkalidis, Michael Moortgat, Tejaswini Deoskar:
Constructive Type-Logical Supertagging with Self-Attention Networks. - Alexander Spitzer, Xuning Yang, John W. Yao, Aditya Dhawale, Kshitij Goel, Mosam Dabhi, Matthew Collins, Curtis Boirum, Nathan Michael:
Fast and Agile Vision-Based Flight with Teleoperation and Collision Avoidance on a Multirotor. - Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng:
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. - Younjoo Seo, Andreas Loukas, Nathanaël Perraudin:
Discriminative structural graph classification. - Xingran Chen, Mohammad Hassan Lotfi, Saswati Sarkar:
The Interplay of Competition and Cooperation Among Service Providers (Part I). - Matthew A. Wright, Roberto Horowitz:
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning. - André Platzer, Yong Kiam Tan:
Differential Equation Invariance Axiomatization. - Yair Meidan, Vinay Sachidananda, Yuval Elovici, Asaf Shabtai:
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup. - Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang:
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. - Tianyu Zhao, Tatsuya Kawahara:
Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation. - Alexander Spitzer, Nathan Michael:
Inverting Learned Dynamics Models for Aggressive Multirotor Control. - Yoshinobu Hagiwara, Hiroyoshi Kobayashi, Akira Taniguchi, Tadahiro Taniguchi:
Symbol Emergence as an Interpersonal Multimodal Categorization. - Zhuyang Xie, Junzhou Chen, Bo Peng:
Point Clouds Learning with Attention-based Graph Convolution Networks. - Parminder Singh, Shafiq Ul Rehman, Selvakumar Manickam:
Comparative Analysis of State-of-the-Art EDoS Mitigation Techniques in Cloud Computing Environment. - Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu:
What does a Car-ssette tape tell? - Tobias Joppen, Tilman Strübig, Johannes Fürnkranz:
Ordinal Bucketing for Game Trees using Dynamic Quantile Approximation. - David G. Flad, Andrea D. Beck, Philipp Guthke:
A highly efficient large eddy simulation method for DGSEM using non-linearly optimized relaxation filters. - Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei:
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder. - Alon Talmor, Jonathan Berant:
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension. - Harald Foidl, Michael Felderer, Stefan Biffl:
Technical Debt in Data-Intensive Software Systems. - Giuseppe Marra, Ondrej Kuzelka:
Neural Markov Logic Networks. - Tommi Gröndahl, N. Asokan:
Effective writing style imitation via combinatorial paraphrasing. - Mengxi Jiang, Zhuliang Yu, Cuihua Li, Yunqi Lei:
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation. - Thomas Chatain, Stefan Haar, Juraj Kolcák, Loïc Paulevé, Aalok Thakkar:
Concurrency in Boolean networks. - Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo:
Interval timing in deep reinforcement learning agents. - Rolando Trujillo-Rasua:
Secure Memory Erasure in the Presence of Man-in-the-Middle Attackers. - Michal Derezinski, Daniele Calandriello, Michal Valko:
Exact sampling of determinantal point processes with sublinear time preprocessing. - Conor McMeel, Panos Parpas:
Majorisation-minimisation algorithms for minimising the difference between lattice submodular functions. - Tassilo Klein, Moin Nabi:
Attention Is (not) All You Need for Commonsense Reasoning. - Behnaz Pourmohseni, Fedor Smirnov, Stefan Wildermann, Jürgen Teich:
Isolation-Aware Timing Analysis and Design Space Exploration for Predictable and Composable Many-Core Systems. - Zhijin Qin, Yuanwei Liu, Geoffrey Ye Li, Julie A. McCann:
Performance Analysis of Clustered LoRa Networks. - Bernd Finkbeiner, Christopher Hahn, Philip Lukert, Marvin Stenger, Leander Tentrup:
Synthesizing Reactive Systems from Hyperproperties. - Bernd Finkbeiner, Christopher Hahn, Hazem Torfah:
Model Checking Quantitative Hyperproperties. - Cameron Browne, Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, João Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands:
Foundations of Digital Archæoludology. - Christopher Hahn, Marvin Stenger, Leander Tentrup:
Constraint-Based Monitoring of Hyperproperties. - Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu:
Multiple Policy Value Monte Carlo Tree Search. - Mohammed Brahimi, Saïd Mahmoudi, Kamel Boukhalfa, Abdelouahab Moussaoui:
Deep interpretable architecture for plant diseases classification. - Daniele Castellana, Davide Bacciu:
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. - Mohamad Jaber, Yliès Falcone, Paul C. Attie, Al-Abbass Khalil, Rayan Hallal:
From Global Choreographies to Provably Correct and Efficient Distributed Implementations. - Wei N. Tang, Jingjin Yu:
Taming Combinatorial Challenges in Optimal Clutter Removal Tasks. - Adrián González-Sieira, Manuel Mucientes, Alberto Bugarín:
Graduated Fidelity Lattices for Motion Planning under Uncertainty. - Kamile Nur Sevis, Ensar Seker:
Cyber Warfare: Terms, Issues, Laws and Controversies. - Yantao Lu, Senem Velipasalar:
Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data. - Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya R. Dulloor:
Scaling Video Analytics on Constrained Edge Nodes. - Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran:
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. - Mickaël Chen, Thierry Artières, Ludovic Denoyer:
Unsupervised Object Segmentation by Redrawing. - Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. - Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao:
Dynamic Distribution Pruning for Efficient Network Architecture Search. - Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing:
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. - Oliver Struckmeier:
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization. - Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers:
Learning robust control for LQR systems with multiplicative noise via policy gradient. - Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton:
Learning Robust Global Representations by Penalizing Local Predictive Power. - Pei Du, Jianzhou Wang, Yan Hao, Tong Niu, Wendong Yang:
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. - Baoxiang Wang:
Recurrent Existence Determination Through Policy Optimization. - Tony Lindeberg:
Provably scale-covariant hierarchical continuous networks based on scale-normalized differential expressions coupled in cascade. - Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. - Xing Liu, Takayuki Okatani:
Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences. - MohammadReza Nazari, Majid Jahani, Lawrence V. Snyder, Martin Takác:
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework. - Maggie Ezzat Gaber Gendy, Ahmad Al-Kabbany, Ehab Farouk Badran:
Maximizing Clearance Rate by Penalizing Redundant Task Assignment in Mobile Crowdsensing Auctions. - Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss:
Leveraging Simple Model Predictions for Enhancing its Performance. - Faraz Torabi, Garrett Warnell, Peter Stone:
Recent Advances in Imitation Learning from Observation. - Kunping Li:
Quantization Loss Re-Learning Method. - Zhi-Xuan Tan, Harold Soh, Desmond C. Ong:
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. - Ziv Goldfeld, Kristjan H. Greenewald, Yury Polyanskiy, Jonathan Weed:
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation. - Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu:
Differentiable Neural Architecture Search via Proximal Iterations. - Artem Voronkov, Leonardo A. Martucci, Stefan Lindskog:
System Administrators Are Parting Ways With Command Line Interfaces: An Exploratory Study of Firewall Interfaces. - Haoxin Li, Yijun Cai, Wei-Shi Zheng:
Deep Dual Relation Modeling for Egocentric Interaction Recognition. - Sören Laue, Matthias Mitterreiter, Joachim Giesen:
GENO - GENeric Optimization for Classical Machine Learning. - Hagit Attiya, Ohad Ben-Baruch, Panagiota Fatourou, Danny Hendler, Eleftherios Kosmas:
Tracking in Order to Recover: Recoverable Lock-Free Data Structures. - Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Chenhui Chu, Takashi Yamashiro, Hajime Nagahara:
Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System. - Xianhao Chen, Gang Liu, Zheng Ma, Xi Zhang, Pingzhi Fan, Shanzhi Chen, F. Richard Yu:
When Full Duplex Wireless Meets Non-Orthogonal Multiple Access: Opportunities and Challenges. - Gary Storey, Richard Jiang, Shelagh Keogh, Ahmed Bouridane, Chang-Tsun Li:
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks. - Dimitrios Rafailidis:
Leveraging Trust and Distrust in Recommender Systems via Deep Learning. - Arnout Devos, Matthias Grossglauser:
Subspace Networks for Few-shot Classification. - Enrica Troiano, Sebastian Padó, Roman Klinger:
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English. - Tailai Wen, Roy Keyes:
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning. - Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. - Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. - Jaechang Lim, Sang-Yeon Hwang, Seungsu Kim, Seokhyun Moon, Woo Youn Kim:
Scaffold-based molecular design using graph generative model. - Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez, Marçal Rusiñol, Ernest Valveny, C. V. Jawahar, Dimosthenis Karatzas:
Scene Text Visual Question Answering. - Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty:
Spotting Collusive Behaviour of Online Fraud Groups in Customer Reviews. - Aris Anagnostopoulos, Luca Becchetti, Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini, Chris Schwiegelshohn:
Principal Fairness: \\ Removing Bias via Projections. - S. Asim Ahmed:
L0 Regularization Based Neural Network Design and Compression. - Aleksei Shestov, Mikhail Kumskov:
A Riemanian Approach to Blob Detection in Manifold-Valued Images. - Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo:
Implicit Regularization in Deep Matrix Factorization. - Won-Ik Cho, Seok Min Kim, Nam Soo Kim:
Investigating an Effective Character-level Embedding in Korean Sentence Classification. - Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez:
Ordinal Regression as Structured Classification. - Liyuan Xu, Junya Honda, Gang Niu, Masashi Sugiyama:
Uncoupled Regression from Pairwise Comparison Data. - Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem:
On the Fairness of Disentangled Representations. - Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Augmenting Transfer Learning with Semantic Reasoning. - Gerald Baumgartner, Konstantin Läufer, Vincent F. Russo:
On the Interaction of Object-Oriented Design Patterns and Programming Languages. - Yaoxian Song, Chun Cheng, Yuejiao Fei, Xiangqing Li, Changbin Yu:
2.5D Image based Robotic Grasping. - Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton:
Learning Sparse Networks Using Targeted Dropout. - Adarsh M. Subramaniam, Anoosheh Heidarzadeh, Krishna R. Narayanan:
Collaborative Decoding of Polynomial Codes for Distributed Computation. - Federico Baldassarre, Hossein Azizpour:
Explainability Techniques for Graph Convolutional Networks. - Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
Information Minimization In Emergent Languages. - Charles Ringer, James Alfred Walker, Mihalis A. Nicolaou:
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams. - Yi-Qi Hu, Yang Yu, Jun-Da Liao:
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. - Stephanie Weirich, Pritam Choudhury, Antoine Voizard, Richard A. Eisenberg:
A Role for Dependent Types in Haskell (Extended version). - Julia Strout, Ye Zhang, Raymond J. Mooney:
Do Human Rationales Improve Machine Explanations? - A. Emin Orhan, Xaq Pitkow:
Improved memory in recurrent neural networks with sequential non-normal dynamics. - Beatrice Åkerblom, Elias Castegren, Tobias Wrigstad:
Reference Capabilities for Safe Parallel Array Programming. - Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. - Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? - Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi:
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization. - Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. - Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. - Lucy Li, Bijeeta Pal, Junade Ali, Nick Sullivan, Rahul Chatterjee, Thomas Ristenpart:
Protocols for Checking Compromised Credentials. - Marinus Gottschau, Felix Happach, Marcus Kaiser, Clara Waldmann:
Budget Minimization with Precedence Constraints. - Mario Krenn, Florian Häse, AkshatKumar Nigam, Pascal Friederich, Alán Aspuru-Guzik:
SELFIES: a robust representation of semantically constrained graphs with an example application in chemistry. - Alkan Soysal, Sennur Ulukus:
Age of Information in G/G/1/1 Systems: Age Expressions, Bounds, Special Cases, and Optimization. - Sanjay K. Sahay, Mayank Chaudhari:
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU. - Sanjay K. Sahay, Ashu Sharma:
A Survey on the Detection of Android Malicious Apps. - Alex Robinson:
Sketch2code: Generating a website from a paper mockup. - Jie Ding, Daiming Qu, Hao Jiang:
Optimal Preamble Length for Spectral Efficiency in Grant-Free RA with Massive MIMO. - Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales:
Ensemble Distribution Distillation. - Matthias Pilz, Omar Ellabban, Luluwah Al-Fagih:
On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes. - Gregory J. Puleo:
Some results on multithreshold graphs. - Zhixiong Chen, Andrew Klapper:
On q-nearly bent Boolean functions. - Chen Li, Mai Xu, Shanyi Zhang, Patrick Le Callet:
State-of-the-art in 360° Video/Image Processing: Perception, Assessment and Compression. - Jack Poulson:
High-performance sampling of generic Determinantal Point Processes. - David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang:
Learned Image Compression with Soft Bit-based Rate-Distortion Optimization. - Shuping Dang, Guoqing Ma, Basem Shihada, Mohamed-Slim Alouini:
Enhanced Orthogonal Frequency-Division Multiplexing with Subcarrier Number Modulation. - Laszlo Gyongyosi, Sándor Imre:
Adaptive Routing for Quantum Memory Failures in the Quantum Internet. - Laszlo Gyongyosi, Sándor Imre:
Entanglement Access Control for the Quantum Internet. - Laszlo Gyongyosi, Sándor Imre:
Opportunistic Entanglement Distribution for the Quantum Internet. - Laszlo Gyongyosi, Sándor Imre:
Dense Quantum Measurement Theory. - Simon Michalowsky, Carsten W. Scherer, Christian Ebenbauer:
Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach. - Indra Deep Mastan, Shanmuganathan Raman:
Multi-level Encoder-Decoder Architectures for Image Restoration. - Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos:
LS-SVR as a Bayesian RBF network. - Bogdan Grechuk, Sittichoke Som-Am:
A convex cover for closed unit curves has area at least 0.0975. - Luis Polanco, Jose A. Perea:
Coordinatizing Data With Lens Spaces and Persistent Cohomology. - Colleen M. Farrelly, Srikanth Namuduri, Uchenna Chukwu:
Quantum Generalized Linear Models. - Siddharth Arora, Ladan Baghai-Ravary, Athanasios Tsanas:
Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice. - Will Xiao, Gabriel Kreiman:
Gradient-free activation maximization for identifying effective stimuli. - Angel Jiménez-Fernandez, Juan Pedro Dominguez-Morales, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Alejandro Linares-Barranco:
Interfacing PDM sensors with PFM spiking systems: application for Neuromorphic Auditory Sensors. - Orion Afisiadis, Matthieu Cotting, Andreas Burg, Alexios Balatsoukas-Stimming:
LoRa Symbol Error Rate Under Non-Chip- and Non-Phase-Aligned Interference. - Benjamin Villalonga, Dmitry I. Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor Gilbert Rieffel, Alan K. Ho, Salvatore Mandrà:
Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation. - Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli, Eli J. Draizen, Ke Wang, Cameron Mura, Philip E. Bourne:
Machine Learning for Classification of Protein Helix Capping Motifs. - Tao Wang, Irene Cheng, Anup Basu:
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow. - Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov:
Semi-Conditional Normalizing Flows for Semi-Supervised Learning. - Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George:
Learning higher-order sequential structure with cloned HMMs. - Nagesh Kumar Uba:
Land Use and Land Cover Classification Using Deep Learning Techniques. - Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang:
Drug-Drug Adverse Effect Prediction with Graph Co-Attention. - Akshay Agrawal, Stephen P. Boyd:
Disciplined Quasiconvex Programming. - Zvi Kons, Slava Shechtman, Alexander Sorin, Carmel Rabinovitz, Ron Hoory:
High quality, lightweight and adaptable TTS using LPCNet. - Yifei Yang, Shuowen Zhang, Rui Zhang:
IRS-Enhanced OFDM: Power Allocation and Passive Array Optimization. - Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion. - Pavel Záviska, Pavel Rajmic, Jiri Schimmel:
Psychoacoustically Motivated Declipping Based on Weighted l1 Minimization. - Martina Patone, Li-Chun Zhang:
On two existing approaches to statistical analysis of social media data. - Nicholas Ham:
Some Structure Properties of Finite Normal-Form Games. - Chang-Hwan Son:
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks. - Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis:
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. - Niels Bruun Ipsen, Lars Kai Hansen:
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! - Praful D. Mankar, Harpreet S. Dhillon:
Meta Distribution for Downlink NOMA in Cellular Networks with 3GPP-inspired User Ranking. - Heather Mattie, Patrick Reidy, Patrik Bachtiger, Emily Lindemer, Mohammad Jouni, Trishan Panch:
A Framework for Predicting Impactability of Healthcare Interventions Using Machine Learning Methods, Administrative Claims, Sociodemographic and App Generated Data. - Isaac Mativo, Yelena Yesha, Michael A. Grasso, Tim Oates, Qian Zhu:
Hybrid Mortality Prediction using Multiple Source Systems. - Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized Optimization with User's Feedback. - Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training. - Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Cesar Henrique Comin, Luciano da Fontoura Costa:
Opinion Diversity and Social Bubbles in Adaptive Sznajd Networks. - Hao-Chung Cheng, Nilanjana Datta, Cambyse Rouzé:
Strong converse bounds in quantum network information theory: distributed hypothesis testing and source coding. - Hao-Chung Cheng, Nilanjana Datta, Cambyse Rouzé:
Strong Converse for Classical-Quantum Degraded Broadcast Channels. - Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong:
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. - Maëlle Zimmermann, Emma Frejinger:
A tutorial on recursive models for analyzing and predicting path choice behavior. - Taeho Jo, Kwangsik Nho, Andrew J. Saykin:
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. - Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image. - Fangda Li, Ankit V. Manerikar, Tanmay Prakash, Avinash C. Kak:
A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction. - Helen L. Bear, Toni Heittola, Annamaria Mesaros, Emmanouil Benetos, Tuomas Virtanen:
City classification from multiple real-world sound scenes. - Justin Crum, Joshua A. Levine, Andrew Gillette:
Extending discrete exterior calculus to a fractional derivative. - Norihiro Yamada:
Game Semantics of Martin-Löf Type Theory. - Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair:
Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach. - Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. - Lyudmyla Kirichenko, Vitalii Bulakh, Tamara Radivilova:
Fractal Time Series Analysis of Social Network Activities. - Di Sheng, György Fazekas:
A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. - Ming Lu, Ming Cheng, Yiling Xu, Shiliang Pu, Qiu Shen, Zhan Ma:
Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications. - Naimul Hassan, Susana P. Lainez-Garcia, Felipe García-Sánchez, Joseph S. Friedman:
Toggle Spin-Orbit Torque MRAM with Perpendicular Magnetic Anisotropy. - Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text. - Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer:
Approximation spaces of deep neural networks. - Marko Järvenpää, Michael U. Gutmann, Aki Vehtari, Pekka Marttinen:
Parallel Gaussian process surrogate method to accelerate likelihood-free inference. - Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, Stefan Leichenauer:
TensorNetwork: A Library for Physics and Machine Learning. - Ashley Milsted, Martin Ganahl, Stefan Leichenauer, Jack Hidary, Guifre Vidal:
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks. - Wei Cai, Xiaoguang Li, Lizuo Liu:
PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning. - Minfeng Shao, Ying Miao:
On optimal weak algebraic manipulation detection codes and weighted external difference families. - Mingzhang Yin, Yuguang Yue, Mingyuan Zhou:
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. - Amandeep Singh Bhatia, Mandeep Kaur Saggi, Ajay Kumar, Sushma Jain:
Matrix Product State Based Quantum Classifier. - Atin Gayen, M. Ashok Kumar:
Projection Theorems, Estimating Equations, and Power-Law Distributions. - Yingkai Li, Yining Wang, Yuan Zhou:
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits. - Elmehdi Illi, Faissal El Bouanani, Ki-Hong Park, Fouad Ayoub, Mohamed-Slim Alouini:
An Improved Accurate Solver for the Time-Dependent RTE in Underwater Optical Wireless Communications. - Ming Dong, Jessie Sun, Carl Wang:
A Pattern Recognition Method for Partial Discharge Detection on Insulated Overhead Conductors. - (Withdrawn) An Invariant Set Approach for Optimization on Integrable Manifolds.
- Iasson Karafyllis:
Lyapunov-Based Boundary Feedback Design For Parabolic PDEs. - Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko:
Breast Tumor Cellularity Assessment using Deep Neural Networks. - Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski:
Vertex Nomination, Consistent Estimation, and Adversarial Modification. - Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi:
Statistically Discriminative Sub-trajectory Mining. - Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara, Yoshihide Sekimoto, Satish V. Ukkusuri:
Universality of population recovery patterns after disasters. - Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto:
On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition. - Xinfeng Zhang, Sam Kwong, C.-C. Jay Kuo:
Compressed Image Quality Assessment Based on Saak Features. - Ali Dadkhah, Mohammad Sal Moslehian, Kenjiro Yanagi:
Noncommutative versions of inequalities in quantum information theory. - Emanuele Grifoni, GiovanniMaria Piccini, Michele Parrinello:
A microscopic description of acid-base equilibrium. - Neha Soni, Enakshi Khular Sharma, Narotam Singh, Amita Kapoor:
Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models. - Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner:
Improving and Understanding Variational Continual Learning. - Shima Bab Hadiashar, Ashwin Nayak:
On the Entanglement Cost of One-Shot Compression. - Oliver Knill:
The average simplex cardinality of a finite abstract simplicial complex. - Finn Kuusisto, Vítor Santos Costa, Zhonggang Hou, James A. Thomson, David Page, Ron M. Stewart:
Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues. - Junxi Feng, Xiaohai He, Qizhi Teng, Chao Ren, Honggang Chen, Yang Li:
Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network. - Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry:
Adversarial Examples Are Not Bugs, They Are Features. - Riley C. W. O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley:
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. - Tommaso Venturini, Mathieu Jacomy, Pablo Jensen:
What do we see when we look at networks. - Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang:
Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables. - Guido Previde Massara, Tomaso Aste:
Learning Clique Forests. - Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen:
Analysis of Gene Interaction Graphs for Biasing Machine Learning Models. - Takashi Wada, Hideitsu Hino:
Bayesian Optimization for Multi-objective Optimization and Multi-point Search. - Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu:
PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. - Andrei Kulunchakov, Julien Mairal:
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. - Jiahong Ouyang, Tejas Sudharshan Mathai, Kira L. Lathrop, John M. Galeotti:
Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images. - Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim:
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study. - Kai Puolamäki, Emilia Oikarinen, Andreas Henelius:
Guided Visual Exploration of Relations in Data Sets. - Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol:
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support. - Bruno Fontana da Silva, Danilo Silva, Bartolomeu F. Uchôa Filho, Didier Le Ruyet:
A Multistage Method for SCMA Codebook Design Based on MDS Codes. - Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk:
Performance boost of time-delay reservoir computing by non-resonant clock cycle. - Masaaki Okabe, Jun Tsuchida, Hiroshi Yadohisa:
F-measure Maximizing Logistic Regression. - Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin:
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. - Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. - Yaroub Elloumi, Mohamed Akil, Henda Boudegga:
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation. - Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng:
Meeting Transcription Using Virtual Microphone Arrays. - Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, Hengyong Yu:
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT. - Nils Gessert, Alexander Schlaefer:
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. - Sam Blakeman, Denis Mareschal:
A Complementary Learning Systems Approach to Temporal Difference Learning. - Ying Sun, Amir Daneshmand, Gesualdo Scutari:
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. - Reima Karhila, Anna-Riikka Smolander, Sari Ylinen, Mikko Kurimo:
Transparent pronunciation scoring using articulatorily weighted phoneme edit distance. - Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy:
An Empirical Evaluation of Adversarial Robustness under Transfer Learning. - Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox:
Multifidelity probability estimation via fusion of estimators. - Alla Detinko, Dane L. Flannery, Alexander Hulpke:
The strong approximation theorem and computing with linear groups. - Vu Nguyen, Michael A. Osborne:
Knowing The What But Not The Where in Bayesian Optimization. - K. S. Ryutin:
The algorithm for the recovery of integer vector via linear measurements. - Yingzhou Li, Jianfeng Lu, Anqi Mao:
Variational training of neural network approximations of solution maps for physical models. - Jonathan P. Mailoa, Mordechai Kornbluth, Simon L. Batzner, Georgy Samsonidze, Stephen T. Lam, Chris Ablitt, Nicola Molinari, Boris Kozinsky:
Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems. - Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse multiresolution representations with adaptive kernels. - Kai Feng, Han Hong, Ke Tang, Jingyuan Wang:
Decision Making with Machine Learning and ROC Curves. - Sabrina Nusrat, Theresa Anisja Harbig, Nils Gehlenborg:
Tasks, Techniques, and Tools for Genomic Data Visualization. - (Withdrawn) Max-Cut in Degenerate H-Free Graphs.
- Fuqiang Di, Jia Liu, Zhuo Zhang, Yu Lei, Jun Li, Mingqing Zhang:
Somewhat Reversible Data Hiding by Image to Image Translation. - Lior Deutsch, Erik Nijkamp, Yu Yang:
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks. - Yuma Kinoshita, Hitoshi Kiya:
Convolutional Neural Networks Considering Local and Global features for Image Enhancement. - Andrew Swan, Taichi Uemura:
On Church's Thesis in Cubical Assemblies. - Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese, Mirco Grosser, René Werner, Tobias Knopp:
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning. - Kuhu Joshi, Chaitanya K. Joshi:
Working women and caste in India: A study of social disadvantage using feature attribution. - (Withdrawn) Human Gait Database for Normal Walk Collected by Smart Phone Accelerometer.
- Dominic Richards, Patrick Rebeschini:
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up. - Ehsan Ebrahimzadeh, Maggie Engler, David Tse, Razvan Cristescu, Aslan Tchamkerten:
Somatic mutations render human exome and pathogen DNA more similar. - Srinivasan Arunachalam, Péter Vrana, Jeroen Zuiddam:
The asymptotic induced matching number of hypergraphs: balanced binary strings. - Giles Hooker, Lucas Mentch:
Please Stop Permuting Features: An Explanation and Alternatives. - Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang:
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. - Junran Wu, Ke Xu, Jichang Zhao:
Online reviews can predict long-term returns of individual stocks. - Takayuki Kihara, Arno Pauly:
Convex choice, finite choice and sorting. - Yanjun Cao, David St-Onge, Andreas Zell, Giovanni Beltrame:
Collaborative Localization and Tracking with Minimal Infrastructure. - David Sutter, Omar Fawzi, Renato Renner:
Bounds on Lyapunov exponents. - Artem Sobolev, Dmitry P. Vetrov:
Importance Weighted Hierarchical Variational Inference. - Danilo Guerrera, Aurélien Cavelan, Rubén M. Cabezón, David Imbert, Jean-Guillaume Piccinali, Ali Mohammed, Lucio Mayer, Darren S. Reed, Florina M. Ciorba:
SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App. - Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Bayesian Optimization using Deep Gaussian Processes. - Yicheng Chen, Angela Jakary, Christopher Paul Hess, Janine M. Lupo:
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field. - Hanyuan Hang, Yingyi Chen, Johan A. K. Suykens:
Two-stage Best-scored Random Forest for Large-scale Regression. - Andrii Arman, Pu Gao, Nicholas C. Wormald:
Fast uniform generation of random graphs with given degree sequences. - Itai Arieli, Moran Koren, Rann Smorodinsky:
The Implications of Pricing on Social Learning. - Mengmou Li, Graziano Chesi, Yiguang Hong:
Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs. - Robert Goldblatt, Ian M. Hodkinson:
Strong completeness of modal logics over 0-dimensional metric spaces. - Lukás Adam, Václav Mácha:
Projections onto the canonical simplex with additional linear inequalities. - Shujaat Khan, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
A Novel Adaptive Kernel for the RBF Neural Networks. - Trond Steihaug, D. G. Rogers:
Approximating cube roots of integers, after Heron's Metrica III.20. - Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, Daniel J. Inman:
1D Convolutional Neural Networks and Applications: A Survey. - Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang:
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables. - Hanyuan Hang, Hongwei Wen:
Best-scored Random Forest Density Estimation. - Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon:
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. - Mingda Zhou, Zhe Feng, Xinming Huang, Youjian Liu:
Maximum A Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems with Channels of Arbitrary Correlation. - Hao Yu, Rong Jin, Sen Yang:
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization. - Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran:
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion. - Siavash Jafarzadeh, Adam Larios, Florin Bobaru:
Efficient solutions for nonlocal diffusion problems via boundary-adapted spectral methods. - Joemini Poudel, Yang Lou, Mark A. Anastasio:
A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography. - Chaobing Zheng, Zhengguo Li, Yi Yang, Shiqian Wu:
Exposure Interpolation Via Fusing Conventional and Deep Learning Methods. - Carlos Andrés Viteri-Mera, Fernando L. Teixeira:
Beamforming Algorithm for Multiuser Wideband Millimeter-Wave Systems with Hybrid and Subarray Architectures. - Hyeongtaek Lee, Sucheol Kim, Junil Choi:
Efficient Channel AoD/AoA Estimation Using Widebeams for Millimeter Wave MIMO Systems. - K. Aditya Mohan, Robert M. Panas, Jefferson A. Cuadra:
SABER: A Systems Approach to Blur Estimation and Reduction in X-ray Imaging. - Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu:
Machine learning-guided synthesis of advanced inorganic materials. - Dong Ma, Guohao Lan, Mahbub Hassan, Wen Hu, Sajal K. Das:
Optimizing Sensing, Computing, and Communication for Energy Harvesting IoTs: A Survey. - Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor:
Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning. - Mohamad Amin Sharifi Kolarijani, Anton V. Proskurnikov, Peyman Mohajerin Esfahani:
Macroscopic Noisy Bounded Confidence Models with Distributed Radical Opinions. - Sam Sanders:
Nets and Reverse Mathematics, a pilot study. - Francisco J. R. Ruiz, Michalis K. Titsias:
A Contrastive Divergence for Combining Variational Inference and MCMC. - William Robert Saunders, James Grant, Eike Hermann Müller, Ian Thompson:
Fast electrostatic solvers for kinetic Monte Carlo simulations. - Dongwook Lee, Won-Jin Moon, Jong Chul Ye:
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN. - Rune Larsen, Dario Pacino:
Fast delta evaluation for the Vehicle Routing Problem with Multiple Time Windows. - Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis:
The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima? - Hiroyuki Kobayashi, Osamu Watanabe, Hitoshi Kiya:
Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG. - Roland Wittler:
Alignment- and reference-free phylogenomics with colored de-Bruijn graphs. - Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb:
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. - Yuliy M. Baryshnikov, Stephen Melczer, Robin Pemantle:
Asymptotics of multivariate sequences in the presence of a lacuna. - Tae Joon Jun, Jihoon Kweon, Young-Hak Kim, Daeyoung Kim:
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography. - Yang Yang, Mingzhe Chen, Caili Guo, Chunyan Feng, Walid Saad:
Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs). - Yang Yang, Marius Pesavento, Zhi-Quan Luo, Björn E. Ottersten:
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization. - Oguz H. Elibol, Gokce Keskin, Anil Thomas:
Semi-supervised and Population Based Training for Voice Commands Recognition. - Willem A. de Graaf, A. S. Detinko, Dane L. Flannery:
Integrality and arithmeticity of solvable linear groups. - Uche Afam Nnolim:
Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm. - Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler:
Spectral Reconstruction with Deep Neural Networks. - Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny:
Semantic Segmentation of Seismic Images. - Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. - Audun D. Myers, Firas A. Khasawneh:
Delay Parameter Selection in Permutation Entropy Using Topological Data Analysis. - Hao Yu, Rong Jin:
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. - Varun S. Jog, Richard J. La, Nuno C. Martins:
Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component. - Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active embedding search via noisy paired comparisons. - Rostislav Matveev, Jacobus W. Portegies:
Tropical diagrams of probability spaces. - Gunnar E. Carlsson, Benjamin Filippenko:
Persistent homology of the sum metric. - Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard:
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks. - Michael J. Bianco, Peter Gerstoft, James Traer, Emma Ozanich, Marie A. Roch, Sharon Gannot, Charles-Alban Deledalle, Weichang Li:
Machine learning in acoustics: a review. - Zihan Wang, Yaoguang Li, Wei Cui:
ECG Identification under Exercise and Rest Situations via Various Learning Methods. - Amit Reza, Richa Tripathi:
A class of randomized Subset Selection Methods for large complex networks. - Onno Kampman, Creighton Heaukulani:
Variational inference for neural network matrix factorization and its application to stochastic blockmodeling. - (Withdrawn) A stable semi-implicit algorithm.
- Angxiu Ni, Chaitanya Talnikar:
Linear Range in Gradient Descent. - Shailesh Chaudhari:
Interference Mitigation and Resource Allocation in Underlay Cognitive Radio Networks. - Zilong Zhong, Jonathan Li, David A. Clausi, Alexander Wong:
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. - Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda:
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. - Jan Skoglund, Jean-Marc Valin:
Improving Opus Low Bit Rate Quality with Neural Speech Synthesis. - Shi Dong, Tengyu Ma, Benjamin Van Roy:
On the Performance of Thompson Sampling on Logistic Bandits. - Nadezhda Gribkova, Ricardas Zitikis:
Functional Correlations in the Pursuit of Performance Assessment of Classifiers. - Boyuan Ma, Xiaoyan Wei, Chuni Liu, Xiaojuan Ban, Haiyou Huang, Hao Wang, Weihua Xue:
Style transfer based data augmentation in material microscopic image processing. - Xiaopeng Luo, Xin Xu, Herschel Rabitz:
Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems. - Xin Xu, Xiaopeng Luo, Herschel Rabitz:
Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation. - Rajbir-Singh Nirwan, Nils Bertschinger:
Rotation Invariant Householder Parameterization for Bayesian PCA. - Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Terahertz-Band Ultra-Massive Spatial Modulation MIMO. - Amanda Burcroff, Eric Winsor:
Generalized Lyndon Factorizations of Infinite Words. - Zeyuan He, Simon D. Guest:
Approximating a Target Surface with 1-DOF Rigid Origami. - Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg:
A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. - Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang:
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. - Yukio Hayashi, Yuki Tanaka:
Emergence of an Onion-like Network in Surface Growth and Its Strong Robustness. - Vishwanath Saragadam, Aswin C. Sankaranarayanan:
Programmable Spectrometry - Per-pixel Classification of Materials using Learned Spectral Filters. - Oliver Knill:
Dehn-Sommerville from Gauss-Bonnet. - Etsushi Yamazaki, Nariman Farsad, Andrea Goldsmith:
Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation. - Jose Flordelis, Xuhong Li, Ove Edfors, Fredrik Tufvesson:
Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation. - Cédric Chauve, Yann Ponty, Michael Wallner:
Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models. - Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt:
Learning Hierarchical Priors in VAEs. - Matthias Pilz, Luluwah Al-Fagih:
Selfish Energy Sharing in Prosumer Communities: A Demand-Side Management Concept. - Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley:
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. - Seán Quinn, Noel Murphy, Alan F. Smeaton:
Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption. - Igor A. Ostanin, Traian Dumitrica, Sebastian Eibl, Ulrich Rüde:
Computational Study of Ultrathin CNT Films with the Scalable Mesoscopic Distinct Element Method. - Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser:
Learning to Search Efficiently Using Comparisons. - Pascal Koiran:
Orthogonal tensor decomposition and orbit closures from a linear algebraic perspective. - Bryan O'Gorman, William J. Huggins, Eleanor Gilbert Rieffel, K. Birgitta Whaley:
Generalized swap networks for near-term quantum computing. - Haoyang Liu:
Exact high-dimensional asymptotics for support vector machine. - Xintian Han, Yuxuan Hu, Luca Foschini, Larry Chinitz, Lior Jankelson, Rajesh Ranganath:
Adversarial Examples for Electrocardiograms. - Connor Kenyon, Glenn Volkema, Gaurav Khanna:
Overcoming Limitations of GPGPU-Computing in Scientific Applications. - Ali Bereyhi, Saba Asaad, Ralf R. Müller, Symeon Chatzinotas:
RLS Precoding for Massive MIMO Systems with Nonlinear Front-End. - Yuliy M. Baryshnikov, Stephen Melczer, Robin Pemantle:
Critical points at infinity for analytic combinatorics. - Giulia Marcucci, Davide Pierangeli, Pepijn Pinkse, Mehul Malik, Claudio Conti:
Programming multi-level quantum gates in disordered computing reservoirs via machine learning. - Yue Yang, Ryan Martin, Howard D. Bondell:
Variational approximations using Fisher divergence. - George H. Chen:
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. - Miguel Moscoso, Alexei Novikov, George Papanicolaou, Chrysoula Tsogka:
Synthetic aperture imaging with intensity-only data. - Luca Saglietti, Yue M. Lu, Carlo Lucibello:
Generalized Approximate Survey Propagation for High-Dimensional Estimation. - Tierui Gong, Nir Shlezinger, Shahar Stein Ioushua, Moshe Namer, Zhijia Yang, Yonina C. Eldar:
RF Chain Reduction for MIMO Systems: A Hardware Prototype. - Zhichao Shao, Lukas Landau, Rodrigo C. de Lamare:
Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO Systems. - Yuanlong Wang, Shota Yokoyama, Daoyi Dong, Ian R. Petersen, Elanor H. Huntington, Hidehiro Yonezawa:
Two-stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results. - Dian Sheng, Yiheng Wei, Yuquan Chen, Yong Wang:
Convolutional neural networks with fractional order gradient method. - Jan Niklas Fuhg:
Adaptive surrogate models for parametric studies. - Wei Ma, Sean Qian:
Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data. - Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou:
Convolutional Poisson Gamma Belief Network. - Pablo Antolin:
Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations. - Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth:
Deep Gaussian Processes with Importance-Weighted Variational Inference. - Martin Lotz, Vanni Noferini:
Wilkinson's bus: Weak condition numbers, with an application to singular polynomial eigenproblems. - Wesley H. Brigner, Naimul Hassan, Lucian Jiang-Wei, Xuan Hu, Diptish Saha, Christopher H. Bennett, Matthew J. Marinella, Jean Anne C. Incorvia, Felipe García-Sánchez, Joseph S. Friedman:
Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron. - Christian Majenz, Christian Schaffner, Jeroen van Wier:
Non-malleability for quantum public-key encryption. - Pavan Reddy Manne, Harish Kumar D., SaiDhiraj Amuru, Kiran Kumar Kuchi:
A Novel Beamformed Control Channel Design for LTE with Full Dimension-MIMO. - Donya Rahmani, Damien Fay, Jacek Brodzki:
A self-organising eigenspace map for time series clustering. - Ali Eshragh, Rasul Esmaeilbeigi, Richard H. Middleton:
An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach. - Rostislav Matveev, Jacobus W. Portegies:
Conditioning in tropical probability theory. - Rostislav Matveev, Jacobus W. Portegies:
Arrow Contraction and Expansion in Tropical Diagrams. - Rui Portocarrero Sarmento, Vera Costa:
Confirmatory Factor Analysis - A Case study. - John C. Baez, Christian Williams:
Enriched Lawvere Theories for Operational Semantics. 106-135 - Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco:
Sample Efficient Toeplitz Covariance Estimation. - David H. Wolpert:
Stochastic thermodynamics of computation. - Vilisov V. Ya:
Limited Resource Optimal Distribution Algorithm Based on Game Iteration Method. - Vijay Balasubramanian, Matthew DeCross, Arjun Kar, Onkar Parrikar:
Quantum Complexity of Time Evolution with Chaotic Hamiltonians. - Lei Chu, Fei Wen, Robert Caiming Qiu:
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties. - Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. - Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. - Arian Houshmand, Salomón Wollenstein-Betech, Christos G. Cassandras:
The Penetration Rate Effect of Connected and Automated Vehicles in Mixed Traffic Routing. - Andrej Jokic, Ivica Nakic:
On Structured Lyapunov Functions and Dissipativity in Interconnected LTI Systems. - Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. - Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
Zero-Shot Voice Style Transfer with Only Autoencoder Loss. - Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Yong-Goo Shin, Seung Park, Min-Jae Yoo, Sung-Jea Ko:
Unsupervised Deep Power Saving and Contrast Enhancement for OLED Displays. - Hongjiang Wei, Steven Cao, Yuyao Zhang, Xiaojun Guan, Fuhua Yan, Kristen W. Yeom, Chunlei Liu:
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction. - Takeru Matsuda, Masatoshi Uehara, Aapo Hyvärinen:
Information criteria for non-normalized models. - Qin Wang, Gabriel Michau, Olga Fink:
Domain Adaptive Transfer Learning for Fault Diagnosis. - Arthur Mensch, Mathieu Blondel, Gabriel Peyré:
Geometric Losses for Distributional Learning. - Hao Song, Tom Diethe, Meelis Kull, Peter A. Flach:
Distribution Calibration for Regression. - Wouter Cames van Batenburg, Rémi de Joannis de Verclos, Ross J. Kang, François Pirot:
Strong chromatic index and Hadwiger number. - Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely:
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. - Sheng Xu, Zhou Fan:
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements. - Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. - Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss:
A general-purpose deep learning approach to model time-varying audio effects. - Erik G. Learned-Miller, Philip S. Thomas:
A New Confidence Interval for the Mean of a Bounded Random Variable. - Antoine Lesage-Landry, Iman Shames, Joshua A. Taylor:
Predictive Online Convex Optimization. - Ali Takbiri-Borujeni, Hadi Kazemi, Nasser M. Nasrabadi:
A data-driven proxy to Stoke's flow in porous media. - Lei Chu, Husheng Li, Robert Caiming Qiu:
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs. - Weimin Zhou, Hua Li, Mark A. Anastasio:
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods. - Glen Evenbly:
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning. - Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. - Joshua N. Cooper, Christopher D. Edgar:
Transfer Entropy in Continuous Time. - Audun Myers, Firas A. Khasawneh:
On the Automatic Parameter Selection for Permutation Entropy. - Anish Lahiri, Jeffrey A. Fessler, Luis Hernandez-Garcia:
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression. - Raj Agrawal, Jonathan H. Huggins, Brian L. Trippe, Tamara Broderick:
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions. - Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò:
ncRNA Classification with Graph Convolutional Networks. - Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. - Abdorasoul Ghasemi, Márton Pósfai, Raissa M. D'Souza:
Control complexity: Diversity of structural controllability of complex networks with given degree sequence. - Igor Furtat:
General divergent stability conditions of dynamic systems. - Ruifeng Yuan, Chengwen Zhong:
A multi-prediction implicit scheme for steady state solutions of gas flow in all flow regimes. - Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA. - Chengyao Sun, Weisi Guo:
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes. - Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
Almost Unsupervised Text to Speech and Automatic Speech Recognition. - James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote:
Adaptive Sensor Placement for Continuous Spaces. - Joseph W. Iverson, Dustin G. Mixon:
Doubly transitive lines II: Almost simple symmetries. - Ahmed Hussen Abdelaziz, Barry-John Theobald, Justin Binder, Gabriele Fanelli, Paul Dixon, Nicholas Apostoloff, Thibaut Weise, Sachin Kajareker:
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models. - Stephanie Friedhoff, Jens Hahne, Sebastian Schöps:
Multigrid-reduction-in-time for Eddy Current problems. - Yashar Kiarashinejad, Sajjad AbdollahRamezani, Mohammadreza Zandehshahvar, Omid Hemmatyar, Ali Adibi:
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. - Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks. - Seongok Ryu, Yongchan Kwon, Woo Youn Kim:
Uncertainty quantification of molecular property prediction using Bayesian neural network models. - Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat:
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. - John Graff, Xianzhang Xu, Francis D. Lagor, Tarunraj Singh:
Reduced-order modeling using Dynamic Mode Decomposition and Least Angle Regression. - Karthik Devarajan:
Non-negative matrix factorization based on generalized dual divergence. - Justin Chen, Papri Dey:
Computing symmetric determinantal representations. - Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar, B. O. Familoni, Khan M. Iftekharuddin, Scott T. Acton:
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data. - Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
Dream Distillation: A Data-Independent Model Compression Framework. - Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-Term Memory Network. - Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks. - Emiru Tsunoo, Yosuke Kashiwagi, Satoshi Asakawa, Toshiyuki Kumakura:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System. - Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel:
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. - Aleksi Saarela:
Separating many words by counting occurrences of factors. - Tim Koglin, Bulcsú Sándor, Claudius Gros:
When the goal is to generate a series of activities: A self-organized simulated robot arm. - Andrej Taranenko:
Daisy cubes: a characterization and a generalization. - Manokamna Singh, Katarina Domijan:
Comparison of Machine Learning Models in Food Authentication Studies. - Rachel Minster, Arvind K. Saibaba, Misha E. Kilmer:
Randomized algorithms for low-rank tensor decompositions in the Tucker format. - Mor Shpigel Nacson, Suriya Gunasekar, Jason D. Lee, Nathan Srebro, Daniel Soudry:
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models. - Christophe Giraud, Yann Issartel, Luc Lehéricy, Matthieu Lerasle:
Pair Matching: When bandits meet stochastic block model. - Zoe Guan, Giovanni Parmigiani, Prasad Patil:
Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects. - Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis:
Online Distributed Estimation of Principal Eigenspaces. - Mike Walmsley, Lewis Smith, Chris J. Lintott, Yarin Gal, Steven Bamford, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen Masters, Claudia Scarlata, Brooke Simmons, Rebecca J. Smethurst, Darryl Wright:
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning. - David Barina, Tomás Chlubna, Marek Solony, Drahomir Dlabaja, Pavel Zemcík:
Evaluation of 4D Light Field Compression Methods. - Michael Muehlebach, Michael I. Jordan:
A Dynamical Systems Perspective on Nesterov Acceleration. - Clement Etienam:
4D Seismic History Matching Incorporating Unsupervised Learning. - Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley H. Chan:
Rethinking Atmospheric Turbulence Mitigation. - Brian L. Trippe, Jonathan H. Huggins, Raj Agrawal, Tamara Broderick:
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations. - (Withdrawn) A Fixed-Flexible BESS Allocation Scheme for Transmission Networks Considering Uncertainties.
- Jungtaek Kim, Seungjin Choi:
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. - Annaxsuel A. de Lima, Benjamín R. C. Bedregal, Ivan Mezzomo:
Ordinal Sums of Fuzzy Negations: Main Classes and Natural Negations. - Arnaud Joly, Louis Wehenkel, Pierre Geurts:
Gradient tree boosting with random output projections for multi-label classification and multi-output regression. - Danko Ilik:
Applications of the analogy between formulas and exponential polynomials to equivalence and normal forms. - Andrew E. Loeb, Christopher J. Earls:
Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material. - Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring:
Quantitative Error Prediction of Medical Image Registration using Regression Forests. - Summer Devlin, Chandan Singh, W. James Murdoch, Bin Yu:
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees. - Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone:
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. - Avleen Singh Bijral:
On Selecting Stable Predictors in Time Series Models. - Raghu G. Raj:
An Online Stochastic Kernel Machine for Robust Signal Classification. - Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi, Paniz Kiaei, Yasin Bhrouzi:
An Objective Evaluation Metric for image fusion based on Del Operator. - Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll:
Leveraging Semantic Embeddings for Safety-Critical Applications. - Michal Cerný, Ondrej Sokol, Miroslav Rada:
The algorithm by Ferson et al. is surprisingly fast: An NP-hard optimization problem solvable in almost linear time with high probability. - Jose H. Blanchet, Yang Kang, Fan Zhang, Zhangyi Hu:
A Distributionally Robust Boosting Algorithm. - Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev:
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study. - Matthew J. Holland:
PAC-Bayes under potentially heavy tails. - Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial:
Transmitter Classification With Supervised Deep Learning. - Chico Q. Camargo, Jonathan Bright, Scott A. Hale:
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information. - Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. - Tiziano Peraro:
FiniteFlow: multivariate functional reconstruction using finite fields and dataflow graphs. - Xiwen Zhang, Tolunay Seyfi, Shengtai Ju, Sharan Ramjee, Aly El Gamal, Yonina C. Eldar:
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection. - Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. - Abd AlRahman R. AlMomani, Jie Sun, Erik M. Bollt:
How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification. - Maria Letizia Bertotti, Giovanni Modanese:
The configuration model for Barabasi-Albert networks. - Pouyan Asgharzadeh, Oliver Röhrle, Bettina M. Willie, Annette I. Birkhold:
Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning. - Peter Frankl, Andrey Kupavskii:
Sharp results concerning disjoint cross-intersecting families. - Pierre Ménard:
Gradient Ascent for Active Exploration in Bandit Problems. - Farrukh Nauman, Joonas Nättilä:
Exploring helical dynamos with machine learning. - Iosif B. Meyerov, Sergei I. Bastrakov, Aleksei V. Bashinov, Evgeny Efimenko, Alexander Panov, Elena Panova, Igor A. Surmin, Valentin Volokitin, Arkady A. Gonoskov:
Exploiting Parallelism on Shared Memory in the QED Particle-in-Cell Code PICADOR with Greedy Load Balancing. - Dina Abdelhadi, Joseph M. Renes:
On the Second-Order Asymptotics of the Partially Smoothed Conditional Min-Entropy & Application to Quantum Compression. - Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet:
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos. - Kevin Molloy, Erion Plaku, Amarda Shehu:
ROMEO: A Plug-and-play Software Platform of Robotics-inspired Algorithms for Modeling Biomolecular Structures and Motions. - Daniel Chicharro, Stefano Panzeri, Ilya Shpitser:
Conditionally-additive-noise Models for Structure Learning. - Kameron Decker Harris, Aleksandr Y. Aravkin, Rajesh Rao, Bingni Wen Brunton:
Time-varying Autoregression with Low Rank Tensors. - Chuandong Xu, Hongna Yang, Shenggui Zhang:
A new proof on the Ramsey number of matchings. - Feng Pan, Jerry P. Draayer:
A polynomial approach to the Collatz conjecture. - Pavel Gurevich, Hannes Stuke:
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors. - Ahmed Ghareeb, Ahmed Elbanna:
An Adaptive Quasi-Continuum Approach for Modeling Fracture in Networked Materials: Application to Modeling of Polymer Networks. - Ohsung Kwon, Eunwoo Song, Jae-Min Kim, Hong-Goo Kang:
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems. - Marvin Tammen, Dörte Fischer, Simon Doclo:
DNN-Based Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement. - Cong Li, Jing Li, Xiang Li:
Evolving nature of human contact networks with its impact on epidemic processes. - Xiaohao Cai, Raymond H. Chan, Xiaoyu Xie, Tieyong Zeng:
A Two-stage Classification Method for High-dimensional Data and Point Clouds. - Ai Ishikawa, Takaharu Yaguchi:
Automatic discrete differentiation and its applications. - Leiting Dong, Tian Yang, Kailei Wang, Satya N. Atluri:
A new Fragile Points Method (FPM) in computational mechanics, based on the concepts of Point Stiffnesses and Numerical Flux Corrections. - Andrew Huang, Puwei Bao:
Human Vocal Sentiment Analysis. - Nicolas Loizou, Peter Richtárik:
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols. - Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto:
Topological Feature Vectors for Chatter Detection in Turning Processes. - Michal Branicki, Kenneth Uda:
Lagrangian uncertainty quantification and information inequalities for stochastic flows. - Udari Madhushani, Naomi Ehrich Leonard:
Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem. - Shih-Hao Su, Jung-Lien Chu, Ting-Shuo Yo, Lee-Yaw Lin:
Identification of synoptic weather types over Taiwan area with multiple classifiers. - Manuel S. Stein, Michael Fauß:
Latency Analysis for Sequential Detection in Low-Complexity Binary Radio Systems. - Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao:
Survival Function Matching for Calibrated Time-to-Event Predictions. - Ovidiu Vaduvescu, Lucian Curelaru, Marcel Popescu:
Mega-Archive and the EURONEAR Tools for Datamining World Astronomical Images. - Mohsen Joneidi, Hassan Yazdani, Azadeh Vosoughi, Nazanin Rahnavard:
Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas. - Claude Klöckl, Katharina Gruber, Peter Regner, Sebastian Wehrle, Johannes Schmidt:
The perils of automated fitting of datasets: the case of a wind turbine cost model. - J. Robin B. Cockett, Priyaa V. Srinivasan:
Complete Positivity for Mixed Unitary Categories. - Yi-Wen Liao, Francesco Borrelli:
An adaptive approach to real-time estimation of vehicle sideslip, road bank angles and sensor bias. - Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa:
Automated Pupillary Light Reflex Test on a Portable Platform. - Yongbo Deng, Zhenyu Liu, Jan G. Korvink:
Topology optimization on two-dimensional manifolds. - Lutz Warnke:
On Wormald's differential equation method. - Alexander Kushkuley:
Heavy Hitters and Bernoulli Convolutions. - Pedro Cisneros-Velarde, Sang-Yun Oh, Alexander Petersen:
Distributionally Robust Formulation and Model Selection for the Graphical Lasso. - Kumar Yashashwi, Deepak Anand, Sibi Raj B. Pillai, Prasanna Chaporkar, K. Ganesh:
MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders. - Marco Giordani, Takamasa Higuchi, Andrea Zanella, Onur Altintas, Michele Zorzi:
A Framework to Assess Value of Information in Future Vehicular Networks. - Petar Zecevic, Colin T. Slater, Mario Juric, Andrew J. Connolly, Sven Loncaric, Eric C. Bellm, V. Zach Golkhou, Krzysztof Suberlak:
AXS: A framework for fast astronomical data processing based on Apache Spark. - Mahesh Chandra Mukkamala, Peter Ochs:
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms. - Johannes Müller, Tobias Meuser, Ralf Steinmetz, Michael Buchholz:
A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation Systems. - Yue Guan, Minjia Shi, Denis S. Krotov:
The Steiner triple systems of order 21 with a transversal subdesign TD(3, 6). - Lihi Dery, Dror Hermel, Artyom Jelnov:
Cheating in Ranking Systems. - Mattia G. Bergomi, Pietro Vertechi:
Rank-based persistence. - Erika Mackin, Stacy Patterson:
Submodularity in Systems with Higher Order Consensus with Absolute Information. - Liming Pan, Wei Wang, Shimin Cai, Tao Zhou:
Optimal interlayer structure for information spreading on multilayer networks. - Satoshi Hayakawa, Taiji Suzuki:
On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. - Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion. - Reinhold Blümel, Nikodem Grzesiak, Yun Seong Nam:
Power-optimal, stabilized entangling gate between trapped-ion qubits. - Nikodem Grzesiak, Reinhold Blümel, Kristin M. Beck, Kenneth Wright, Vandiver Chaplin, Jason M. Amini, Neal C. Pisenti, Shantanu Debnath, Jwo-Sy Chen, Yun Seong Nam:
Efficient Arbitrary Simultaneously Entangling Gates on a trapped-ion quantum computer. - Zhenwei Luo, Ye Zhang:
Solving Random Systems of Quadratic Equations with Tanh Wirtinger Flow. - Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning Fast Magnetic Resonance Imaging. - Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised learning of inverse problem solvers in medical imaging. - Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul:
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. - Touqir Sajed, Or Sheffet:
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule. - Ali Kuhestani, Milad Tatar Mamaghani, Hamid Behroozi:
A new secure multi-hop untrusted relaying scheme. - Mohammad Meraj Ghanbari, David K. Piech, Konlin Shen, Sina Faraji Alamouti, Cem Yalcin, Benjamin C. Johnson, Jose M. Carmena, Michel M. Maharbiz, Rikky Muller:
A Sub-mm Ultrasonic Free-floating Implant for Multi-mote Neural Recording. - Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow:
Robust Wireless Fingerprinting via Complex-Valued Neural Networks. - Kyle Buchheit, Opeoluwa Owoyele, Terry Jordan, Dirk Van Essendelft:
The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics. - Yongeun Yoon, Corbin Klett, Eric Feron:
Bounding the State Covariance Matrix for a Randomly Switching Linear System with Noise. - Benzhou Jin, Jiang Zhu, Qihui Wu, Yuhong Zhang, Zhiwei Xu:
One-bit LFMCW Radar: Spectrum Analysis and Target Detection. - Shubham Sahay, Mohammad Bavandpour, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Time-Domain Mixed-Signal Vector-by-Matrix Multiplier Exploiting 1T-1R Array. - Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos T. Yarman-Vural:
Improved EEG Classification by factoring in sensor topography. - Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee:
Stabilization under round robin scheduling of control inputs in nonlinear systems. - Matteo Serafino, Giulio Cimini, Amos Maritan, Samir Suweis, Jayanth R. Banavar, Guido Caldarelli:
Scale-free networks revealed from finite-size scaling. - Minhong Chen, Daniel Kressner:
Recursive blocked algorithms for linear systems with Kronecker product structure. - Takashi Takahashi, Yoshiyuki Kabashima:
Replicated Vector Approximate Message Passing For Resampling Problem. - Hoang NT, Takanori Maehara:
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. - Kazuto Ichimaru, Hiroshi Kawasaki:
Underwater Stereo using Refraction-free Image Synthesized from Light Field Camera. - Shih-Wen Tsou, Chun-Yian Su, Chien-Ming Wu:
Learning the Representations of Moist Convection with Convolutional Neural Networks. - Jong Woo Kwak, Min Soo Sim, In-Woong Kang, Jong Sung Park, Jaedon Park, Chan-Byoung Chae:
A Comparative Study of Analog/Digital Self-Interference Cancellation for Full Duplex Radios. - Théo Galy-Fajou, Florian Wenzel, Christian Donner, Manfred Opper:
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation. - Bryan Lim, Stefan Zohren, Stephen J. Roberts:
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs. - Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan:
Fusion of heterogeneous bands and kernels in hyperspectral image processing. - Andrei A. Muller, Alin Moldoveanu, Victor Asavei, Riyaz Khadar, Esther Sanabria-Codesal, Anna Krammer, Montserrat Fernandez-Bolaños, Matteo Cavalleri, Junrui Zhang, Emanuele A. Casu, Andreas Schuler, Adrian Mihai Ionescu:
Reconfigurable radiofrequency electronic functions designed with 3D Smith Charts in Metal-Insulator-Transition Materials. - Yipeng Huang, Margaret Martonosi:
Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs. - Evgenii Kanin, Andrei Osiptsov, Albert L. Vainshtein, Evgeny Burnaev:
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. - Ayçil Çesmelioglu, Sander Rhebergen, Garth N. Wells:
An embedded-hybridized discontinuous Galerkin method for the coupled Stokes-Darcy system. - Ziyue Zhao, Samy Elshamy, Tim Fingscheidt:
A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement. - Christian Zingg, Giona Casiraghi, Giacomo Vaccario, Frank Schweitzer:
What is the Entropy of a Social Organization? - Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian Optimization over Sets. - Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache:
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. - Enguerrand Horel, Kay Giesecke:
Computationally Efficient Feature Significance and Importance for Machine Learning Models. - Yulong Lu, Jianfeng Lu, James Nolen:
Accelerating Langevin Sampling with Birth-death. - Atsushi Nitanda, Taiji Suzuki:
Refined Generalization Analysis of Gradient Descent for Over-parameterized Two-layer Neural Networks with Smooth Activations on Classification Problems. - Cheolmin Kim, Youngseok Kim, Diego Klabjan:
Scale Invariant Power Iteration. - Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati:
Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning. - Yunchuan Kong, Tianwei Yu:
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. - Philip G. Breen, Christopher N. Foley:
A Bulirsch-Stoer algorithm using Gaussian processes. - Nathan Wiebe, Leonard Wossnig:
Generative training of quantum Boltzmann machines with hidden units. - Lior Gishboliner, Asaf Shapira:
Testing Graphs against an Unknown Distribution. - Zheyang Shen, Markus Heinonen, Samuel Kaski:
Learning spectrograms with convolutional spectral kernels. - Luisa Iturrioz:
Rough sets and three-valued structures. - Luisa Iturrioz:
About a 'concrete' Rauszer Boolean algebra generated by a preorder. - Alvaro H. C. Correia, James Cussens, Cassio P. de Campos:
On Pruning for Score-Based Bayesian Network Structure Learning. - Chiao-Yu Yang, Nhat Ho, Michael I. Jordan:
Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models. - Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy:
Robust Variational Autoencoder. - Hasan Al-Marzouqi, Yuting Hu, Ghassan AlRegib:
Texture retrieval using periodically extended and adaptive curvelets. - Yi Huang, Peng Jia, Dongmei Cai, Bojun Cai:
Perception Evaluation - A new solar image quality metric based on the multi-fractal property of texture features. - Shibei Xue, Rebing Wu, Dewei Li, Min Jiang:
A gradient algorithm for Hamiltonian identification of open quantum systems. - Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt:
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. - Ivan Yu. Mogilnykh, Faina I. Solov'eva:
A concatenation construction for propelinear perfect codes from regular subgroups of GA(r, 2). - Lukas Hirsch, Yu Huang, Lucas C. Parra:
Tissue segmentation with deep 3D networks and spatial priors. - Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto:
Parallel Coordinate Order for High-Dimensional Data. - Niladri S. Chatterji, Vidya Muthukumar, Peter L. Bartlett:
OSOM: A Simultaneously Optimal Algorithm for Multi-Armed and Linear Contextual Bandits. - Mert Demirer, Vasilis Syrgkanis, Greg Lewis, Victor Chernozhukov:
Semi-Parametric Efficient Policy Learning with Continuous Actions. - Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty:
Sliced Gromov-Wasserstein. - Rémi Flamary, Karim Lounici, André Ferrari:
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. - Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. - Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge:
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images. - Hédi Hadiji:
Polynomial Cost of Adaptation for X -Armed Bandits. - Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao:
A Research and Strategy of Remote Sensing Image Denoising Algorithms. - Alessandro Varsi, Lykourgos Kekempanos, Jeyarajan Thiyagalingam, Simon Maskell:
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. - Motonobu Kanagawa, Philipp Hennig:
Convergence Guarantees for Adaptive Bayesian Quadrature Methods. - Liwei Song, Reza Shokri, Prateek Mittal:
Privacy Risks of Securing Machine Learning Models against Adversarial Examples. - Lisha Yu, Inez Maria Zwetsloot, Nathaniel T. Stevens, James D. Wilson, Kwok Leung Tsui:
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study. - Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu:
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. - Eric V. Strobl, Shyam Visweswaran:
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. - Min-Yeong Kang, Geoffroy Berthelot, Liubov Tupikina, Christos Nicolaides, Jean-François Colonna, Bernard Sapoval, Denis S. Grebenkov:
Morphological organization of point-to-point transport in complex networks. - Çaglar Aytekin, Francesco Cricri, Antti Hallapuro, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
A Compression Objective and a Cycle Loss for Neural Image Compression. - Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott:
A Generalization Error Bound for Multi-class Domain Generalization. - Kailiang Wu, Tong Qin, Dongbin Xiu:
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data. - Josef Schlittenlacher, Richard E. Turner, Brian C. J. Moore:
Fast computation of loudness using a deep neural network. - Juan Miguel Arrazola, Alain Delgado, Bhaskar Roy Bardhan, Seth Lloyd:
Quantum-inspired algorithms in practice. - Omer Gottesman, Weiwei Pan, Finale Doshi-Velez:
A general method for regularizing tensor decomposition methods via pseudo-data. - Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling:
DIVA: Domain Invariant Variational Autoencoders. - Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn:
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. - Meng Ma, Bingcong Li, Georgios B. Giannakis:
Tight Linear Convergence Rate of ADMM for Decentralized Optimization. - Jorge Almeida, José Carlos Costa, Marc Zeitoun:
Recognizing pro-R closures of regular languages. - Anusha Lalitha, Xinghan Wang, Osman Cihan Kilinc, Yongxi Lu, Tara Javidi, Farinaz Koushanfar:
Decentralized Bayesian Learning over Graphs. - Johannes Schmitz, Caspar von Lengerke, Nikita Airee, Arash Behboodi, Rudolf Mathar:
A Deep Learning Wireless Transceiver with Fully Learned Modulation and Synchronization. - Ben J. Gross, Nathaniel Trask, Paul Kuberry, Paul J. Atzberger:
Meshfree Methods on Manifolds for Hydrodynamic Flows on Curved Surfaces: A Generalized Moving Least-Squares (GMLS) Approach. - Pranav Gokhale, Jonathan M. Baker, Casey Duckering, Natalie C. Brown, Kenneth R. Brown, Frederic T. Chong:
Asymptotic Improvements to Quantum Circuits via Qutrits. - Sungmin Cha, Taeeon Park, Taesup Moon:
GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images. - Yunfeng He, Jing Zhang, Chao-Kai Wen, Shi Jin:
TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code. - Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin:
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. - H. Sun, H. Al-Marzouqi, S. Vega:
EPCI: A New Tool for Predicting Absolute Permeability from CT images. - Chuandong Xu, Colton Magnant, Shenggui Zhang:
Properly colored $C_{4}$'s in edge-colored graphs. - Gil Shabat, Era Choshen, Dvir Ben-Or, Nadav Carmel:
Fast and Accurate Gaussian Kernel Ridge Regression Using Matrix Decompositions for Preconditioning. - Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik:
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit. - Xianghao Yu, Jun Zhang, Khaled Ben Letaief:
Doubling Phase Shifters for Efficient Hybrid Precoder Design in Millimeter-Wave Communication Systems. - Danijel Kivaranovic, Kory D. Johnson, Hannes Leeb:
Adaptive, Distribution-Free Prediction Intervals for Deep Neural Networks. - Wei Peng, Tim Coleman, Lucas Mentch:
Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners. - Adam D. Cobb, Michael D. Himes, Frank Soboczenski, Simone Zorzan, Molly D. O'Beirne, Atilim Günes Baydin, Yarin Gal, Shawn D. Domagal-Goldman, Giada N. Arney, Daniel Angerhausen:
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. - Nicole Mücke, Ingo Steinwart:
Global Minima of DNNs: The Plenty Pantry. - Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl:
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. - Guanyang Wang, Yumeng Zhang, Yong Deng, Xuxin Huang, Lukasz Kidzinski:
Modeling treatment events in disease progression. - Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang:
Efficient Curvature Estimation for Oriented Point Clouds. - Dongfang Xu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober:
Multiuser MISO UAV Communications in Uncertain Environments with No-fly Zones: Robust Trajectory and Resource Allocation Design. - Juho Lee, Xenia Miscouridou, François Caron:
A unified construction for series representations and finite approximations of completely random measures. - Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev:
Usage of multiple RTL features for Earthquake prediction. - François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi:
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. - Samir Chowdhury:
Geodesics in persistence diagram space. - Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. - Stefano Spigler, Mario Geiger, Matthieu Wyart:
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm. - Hangjian Li, Qing Zhou:
Gaussian DAGs on network data. - Yixin Wang, David M. Blei:
Variational Bayes under Model Misspecification. - Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle:
Automatic Discovery of Privacy-Utility Pareto Fronts. - N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney:
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction. - Yixin Wang, Dhanya Sridhar, David M. Blei:
Equal Opportunity and Affirmative Action via Counterfactual Predictions. - Andre C. R. Martins:
Discrete Opinion Dynamics with M choices. - Sha Hu, Dzevdan Kapetanovic, Neng Wang, Wenquan Hu:
Deep-Neural-Network based Fall-back Mechanism in Interference-Aware Receiver Design. - Ernesto De Vito, Nicole Mücke, Lorenzo Rosasco:
Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces. - Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino:
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs. - Zalán Gyenis, András Kornai:
Naive probability. - Guodong Zhang, James Martens, Roger B. Grosse:
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks. - Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof:
Combating Label Noise in Deep Learning Using Abstention. - Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu:
Scalable Training of Inference Networks for Gaussian-Process Models. - Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki:
ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks. - Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak:
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. - Toomas Hinnosaar:
Contest Architecture with Public Disclosures. - Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen:
Dirichlet Simplex Nest and Geometric Inference. - Adam Farooq, Yordan P. Raykov, Luc J. W. Evers, Max A. Little:
Adaptive probabilistic principal component analysis. - Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanovic:
Robustness of accelerated first-order algorithms for strongly convex optimization problems. - Antonio Cossidente, Giuseppe Marino, Francesco Pavese:
Subspace code constructions. - Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart:
Best-scored Random Forest Classification. - Ganzhao Yuan, Li Shen, Wei-Shi Zheng:
A Block Decomposition Algorithm for Sparse Optimization. - Bartolomé Ortiz, Juan Julián Merelo Guervós:
Power laws in code repositories: A skeptical approach. - Yuyang Xue, Jiannan Su:
Attention Based Image Compression Post-Processing Convolutional Neural Network. - Stefano Peluchetti, Stefano Favaro:
Neural Stochastic Differential Equations. - Kazuto Fukuchi, Chia-Mu Yu, Arashi Haishima, Jun Sakuma:
Locally Differentially Private Minimum Finding. - Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort:
Learning step sizes for unfolded sparse coding. - Steven L. Brunton, Bernd Noack, Petros Koumoutsakos:
Machine Learning for Fluid Mechanics. - Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin:
Practical and Consistent Estimation of f-Divergences. - Brigitte d'Andréa-Novel, Jean-Michel Coron, Wilfrid Perruquetti:
Small-time stabilization of nonholonomic or underactuated mechanical systems: the unicycle and the slider examples. - Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
Intrinsic Multi-scale Evaluation of Generative Models. - Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu:
3D Trajectory Optimization for Secure UAV Communication with CoMP Reception. - Etienne Boursier, Vianney Perchet:
Private Learning and Regularized Optimal Transport. - Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung:
GRDN: Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling. - Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick:
Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS. - Haoyan Liu, Yanming Liu, Ming Yang, Xiaoping Li:
A Novel Demodulation and Estimation Algorithm for Blackout Communication: Extract Principal Components with Deep Learning. - Joaquín Calatayud, Rubén Bernardo-Madrid, Magnus Neuman, Alexis Rojas, Martin Rosvall:
Exploring the solution landscape enables more reliable network community detection. - Shaival Hemant Nagarsheth, Jiten H. Bhatt, Jayesh J. Barve:
Cold-Tip Temperature Control of Space-borne SatelliteStirlingCryocooler: Mathematical Modeling and Control Investigation. - Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. - Eduard Gorbunov, Filip Hanzely, Peter Richtárik:
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent. - Filip Hanzely, Peter Richtárik:
One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods. - Zbynek Zajíc, Marie Kunesová, Marek Hrúz, Jan Vanek:
UWB-NTIS Speaker Diarization System for the DIHARD II 2019 Challenge. - Alex Bredariol Grilo, William Slofstra, Henry Yuen:
Perfect zero knowledge for quantum multiprover interactive proofs. - Stefano Carrazza, Daniel Krefl, Andrea Papaluca:
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. - Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. - Lucas Boczkowski, Igor Shinkar:
On Mappings on the Hypercube with Small Average Stretch. - Samantha Piatt:
Large-Scale Statistical Survey of Magnetopause Reconnection. - Denis S. Krotov:
On the orthogonal arrays of parameters OA(1536, 13, 2, 7) and related. - Konstantin Mishchenko, Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Yura Malitsky:
Revisiting Stochastic Extragradient. - Adarsh Subbaswamy, Bryant Chen, Suchi Saria:
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. - Shmuel Friedland:
Partial minimization of strict convex functions and tensor scaling. - Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge:
Automatic Delineation of Kidney Region in DCE-MRI. - Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. - Zaiwei Chen, Sheng Zhang, Thinh T. Doan, Siva Theja Maguluri, John-Paul Clarke:
Finite-Time Analysis of Q-Learning with Linear Function Approximation. - Pengzhan Jin, Lu Lu, Yifa Tang, George E. Karniadakis:
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness. - Valery S. Shchesnovich:
Noise sensitivity of Boson Sampling and density of bosons. - Chris Finlay, Adam M. Oberman:
Scaleable input gradient regularization for adversarial robustness. - Silviu-Marian Udrescu, Max Tegmark:
AI Feynman: a Physics-Inspired Method for Symbolic Regression. - Umberto Noè, Bernd Taschler, Joachim Täger, Peter Heutink, Sach Mukherjee:
Ancestral causal learning in high dimensions with a human genome-wide application. - Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis:
Learning Bregman Divergences. - Xin Zhang, Jia Liu, Zhengyuan Zhu:
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. - Xianxin Song, Xiaoqi Qin, Yunzheng Tao, Baoling Liu, Ping Zhang:
Age Based Task Scheduling and Computation Offloading in Mobile-Edge Computing Systems. - David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo:
Learning distant cause and effect using only local and immediate credit assignment. - Sreenithy Chandran, Suren Jayasuriya:
Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification. - Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago, Motoki Abe:
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs. - Thulasi Tholeti, Sheetal Kalyani:
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis. - Xin Wang, Mark M. Wilde:
Resource theory of asymmetric distinguishability. - Matthew Coudron, William Slofstra:
Complexity lower bounds for computing the approximately-commuting operator value of non-local games to high precision. - Yoonho Lee, Wonjae Kim, Seungjin Choi:
Discrete Infomax Codes for Meta-Learning. - Wonjae Kim, Yoonho Lee:
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning. - Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik:
Direct Nonlinear Acceleration. - Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon:
Recursive Estimation for Sparse Gaussian Process Regression. - Neal S. Grantham, Brian J. Reich, Eric B. Laber, Krishna Pacifici, Robert R. Dunn, Noah Fierer, Matthew Gebert, Julia S. Allwood, Seth A. Faith:
Global forensic geolocation with deep neural networks. - Adil Salim, Dmitry Kovalev, Peter Richtárik:
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates. - Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection. - Marco Tagliasacchi, Beat Gfeller, Felix de Chaumont Quitry, Dominik Roblek:
Self-supervised audio representation learning for mobile devices. - Artem Maevskiy, Denis Derkach, Nikita Kazeev, Andrey Ustyuzhanin, Maksim Artemev, Lucio Anderlini:
Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks. - Mark Widmaier, Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink:
Towards Practical Indoor Positioning Based on Massive MIMO Systems. - Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts:
Robustness Quantification for Classification with Gaussian Processes. - Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie:
Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition. - Gonzalo Mena, Jonathan Weed:
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem. - Václav Smídl, Jan Bím, Tomás Pevný:
Anomaly scores for generative models. - Ingolf G. A. Pernice, Sebastian A. Henningsen, Roman Proskalovich, Martin Florian, Hermann Elendner, Björn Scheuermann:
Monetary Stabilization in Cryptocurrencies - Design Approaches and Open Questions. - Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis:
SignalTrain: Profiling Audio Compressors with Deep Neural Networks. - Harun Siljak, Kyriaki Psara, Anna Philippou:
Distributed Antenna Selection for Massive MIMO using Reversing Petri Nets. - Nesrine Cherif, Mohamed Alzenad, Halim Yanikomeroglu, Abbas Yongaçoglu:
Downlink Coverage and Rate Analysis of an Aerial User in Integrated Aerial and Terrestrial Networks. - Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay:
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections. - Matías Vera, Pablo Piantanida, Leonardo Rey Vega:
Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution. - Jakub Konieczny:
On multiplicative automatic sequences. - Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick:
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices. - Hazem Ibrahim, Hina Tabassum, Uyen Trang Nguyen:
The Meta Distributions of the SIR/SNR and Data Rate in Coexisting Sub-6GHz and Millimeter-wave Cellular Networks. - Gentry Johnson, Brian Quistorff, Matt Goldman:
Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions. - Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni:
Bayesian Nonparametric Federated Learning of Neural Networks. - Vincent Mallet, Carlos G. Oliver, Nicolas Moitessier, Jérôme Waldispühl:
Leveraging binding-site structure for drug discovery with point-cloud methods. - Julius von Kügelgen, Marco Loog, Alexander Mey, Bernhard Schölkopf:
Semi-Supervised Learning, Causality and the Conditional Cluster Assumption. - Geoffrey Roeder, Paul K. Grant, Andrew Phillips, Neil Dalchau, Edward Meeds:
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems. - Owen Marschall, Kyunghyun Cho, Cristina Savin:
Using local plasticity rules to train recurrent neural networks. - Florian Schäfer, Anima Anandkumar:
Competitive Gradient Descent. - Amelia Henriksen, Rachel A. Ward:
AdaOja: Adaptive Learning Rates for Streaming PCA. - Pawel Dlotko, Wanling Qiu, Simon Rudkin:
Cyclicality, Periodicity and the Topology of Time Series. - Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos:
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels. - Donatello Materassi, Murti V. Salapaka:
Signal selection for estimation and identification in networks of dynamic systems: a graphical model approach. - Manuel González Sarabia, Delio Jaramillo, Rafael H. Villarreal:
On the generalized Hamming weights of certain Reed-Muller-type codes. - (Withdrawn) Bayesian Anomaly Detection Using Extreme Value Theory.
- Xiangyu Xu, Yongrui Ma, Wenxiu Sun:
Towards Real Scene Super-Resolution with Raw Images. - Alberto Bietti, Julien Mairal:
On the Inductive Bias of Neural Tangent Kernels. - Jaime Roquero Gimenez, James Y. Zou:
Discovering Conditionally Salient Features with Statistical Guarantees. - Tomoya Murata, Taiji Suzuki:
Accelerated Sparsified SGD with Error Feedback. - Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu:
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. - Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar:
Lifelong Bayesian Optimization. - Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Image Denoising with Graph-Convolutional Neural Networks. - Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi:
How to iron out rough landscapes and get optimal performances: Replicated Gradient Descent and its application to tensor PCA. - Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna:
Extra-gradient with player sampling for provable fast convergence in n-player games. - Cole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio Paolo Buccino, Matthias H. Hennig:
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. - Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. - Xiaopeng Mo, Yuwei Huang, Jie Xu:
Radio-Map-Based Robust Positioning Optimization for UAV-Enabled Wireless Power Transfer. - Ayman Boustati, Richard S. Savage:
Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers. - Guanghui Lan, Zhize Li, Yi Zhou:
A unified variance-reduced accelerated gradient method for convex optimization. - Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski:
Deep Factors for Forecasting. - Marzieh Najafi, Hedieh Ajam, Vahid Jamali, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Robert Schober:
Statistical Modeling of the FSO Fronthaul Channel for UAV-based Networks. - Bradley Gram-Hansen, Christian Schröder de Witt, Tom Rainforth, Philip H. S. Torr, Yee Whye Teh, Atilim Günes Baydin:
Hijacking Malaria Simulators with Probabilistic Programming. - Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt:
Switching Linear Dynamics for Variational Bayes Filtering. - Yariv Aizenbud, Boris Landa, Yoel Shkolnisky:
Rank-one Multi-Reference Factor Analysis. - Andrew Bennett, Nathan Kallus, Tobias Schnabel:
Deep Generalized Method of Moments for Instrumental Variable Analysis. - Manuel S. Stein:
Glancing Through Massive Binary Radio Lenses: Hardware-Aware Interferometry With 1-Bit Sensors. - Heng Yang, Luca Carlone:
A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers. - Philipp M. Maier, Sina Keller:
Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll $a$ Concentration of Several Inland Waters. - Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang:
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. - Paul Hand, Babhru Joshi:
Global Guarantees for Blind Demodulation with Generative Priors. - Michiel Straat, Jorrit Oosterhof:
Segmentation of blood vessels in retinal fundus images. - Harikrishnan N. B., Nithin Nagaraj:
A Novel Chaos Theory Inspired Neuronal Architecture. - Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect. - Mingzhang Yin, Mingyuan Zhou:
Semi-Implicit Generative Model. - Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi:
Vector-Valued Graph Trend Filtering with Non-Convex Penalties. - Falco J. Bargagli Stoffi, Kristof De Witte, Giorgio Gnecco:
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach. - Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. - Lifan Liang, Songjian Lu:
Noisy and Incomplete Boolean Matrix Factorizationvia Expectation Maximization. - Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos:
Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models. - Benyamin Ghojogh, Mark Crowley:
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. - Songbai Yan, Kamalika Chaudhuri, Tara Javidi:
The Label Complexity of Active Learning from Observational Data. - Yixin Wang, David M. Blei:
Multiple Causes: A Causal Graphical View. - Oscar F. Mojica, Navjot Kukreja:
Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito. - Juan Galvis:
On condition numbers of symmetric and nonsymmetric domain decomposition methods. - Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. - Evgeniy M. Ozhegov, Alina Ozhegova:
Heterogeneity in demand and optimal price conditioning for local rail transport. - Deniz Sargun, C. Emre Koksal:
Separating an Outlier from a Change. - Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell:
Monotonic Gaussian Process Flow. - Nicolas Pinchaud:
Weakly supervised training of pixel resolution segmentation models on whole slide images. - Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li:
Global Momentum Compression for Sparse Communication in Distributed SGD. - Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
On the Convergence of Memory-Based Distributed SGD. - Charles W. L. Gadd, Sara Wade, Alexis Boukouvalas:
Enriched Mixtures of Gaussian Process Experts. - Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelization of Bayesian Filters and Smoothers. - Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato:
Robustness to Adversarial Perturbations in Learning from Incomplete Data. - Salman Beigi, Leila Taghavi:
Quantum Speedup Based on Classical Decision Trees. - Fabian Ying, Alisdair O. G. Wallis, Mariano Beguerisse-Díaz, Mason A. Porter, Sam D. Howison:
Customer mobility and congestion in supermarkets. - Tingting Zhao, Alexandre Bouchard-Côté:
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. - Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding:
Rarely-switching linear bandits: optimization of causal effects for the real world. - Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, Ning Jiang:
Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface. - Yaser Afshar, Saakaar Bhatnagar, Shaowu Pan, Karthik Duraisamy, Shailendra Kaushik:
Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks. - Sophie M. Fosson, Mohammad Abuabiah:
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization. - Victor Churchill:
Use of convexity in contour detection. - Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto:
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. - Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik:
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. - Nga T. T. Nguyen, Garrett T. Kenyon:
Image classification using quantum inference on the D-Wave 2X. - Nick Antipa, Patrick Oare, Emrah Bostan, Ren Ng, Laura Waller:
Video from Stills: Lensless Imaging with Rolling Shutter. - Tianyi Yao, Genevera I. Allen:
Clustered Gaussian Graphical Model via Symmetric Convex Clustering. - Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Learning Nearest Neighbor Graphs from Noisy Distance Samples. - Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett:
Langevin Monte Carlo without Smoothness. - Jennifer L. Cardona, Michael F. Howland, John O. Dabiri:
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network. - Lin Chen, Haizhao Yang:
Generative Imaging and Image Processing via Generative Encoder. - Li Wang, Lihui Wang, Qijian Chen, Caixia Sun, Xinyu Cheng, Yuemin Zhu:
Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer. - William Rice:
Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification. - Oliver Knill:
More on Numbers and Graphs. - Facundo Mémoli, Kritika Singhal:
A Primer on Persistent Homology of Finite Metric Spaces. - Kohei Miyaguchi:
PAC-Bayesian Transportation Bound. - Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi:
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. - Andrey Malinin, Mark J. F. Gales:
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. - Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf:
Quantum Mean Embedding of Probability Distributions. - Benjamin Gravell, Yi Guo, Tyler H. Summers:
Sparse optimal control of networks with multiplicative noise via policy gradient. - Fuming Fang, Xin Wang, Junichi Yamagishi, Isao Echizen, Massimiliano Todisco, Nicholas W. D. Evans, Jean-François Bonastre:
Speaker Anonymization Using X-vector and Neural Waveform Models. - Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, Yi-Hsuan Yang:
Musical Composition Style Transfer via Disentangled Timbre Representations. - Sheng-Lun Kao, Han-Wen Lien, Tzu-Chi Liu, Hau-Tieng Wu, Te-Yung Fang, Pa-Chun Wang, Yi-Wen Liu:
Meniere's Disease Prognosis by Learning from Transient-Evoked Otoacoustic Emission Signals. - John A. Armstrong, Lyndsay Fletcher:
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics. - Shuming Jiao, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan:
Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging. - Ayokunle Damilola Familua:
A Block Diagonal Markov Model for Indoor Software-Defined Power Line Communication. - Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao:
ADMM for Efficient Deep Learning with Global Convergence. - Rémy Garnier, Arnaud Bellétoile:
A multi-series framework for demand forecasts in E-commerce. - Amin Coja-Oghlan, Max Hahn-Klimroth:
The cut metric for probability distributions. - Soufiane Hayou, Arnaud Doucet, Judith Rousseau:
Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel. - William T. Stephenson, Tamara Broderick:
Sparse Approximate Cross-Validation for High-Dimensional GLMs. - Jeffrey M. Ede, Richard Beanland:
Partial Scan Electron Microscopy with Deep Learning. - Jens Schreiber, Artjom Buschin, Bernhard Sick:
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. - Francesco Farina, Andrea Testa, Giuseppe Notarstefano:
Distributed Submodular Minimization via Block-Wise Updates and Communications. - Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin:
RKHSMetaMod : An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS Ridge Group Sparse optimization problem. - Martin Jankowiak, Jacob R. Gardner:
Neural Likelihoods for Multi-Output Gaussian Processes. - Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi:
Unlabeled Data Improves Adversarial Robustness. - Xiaoyi Mai, Zhenyu Liao:
High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality. - Alireza Amirshahi, Matin Hashemi:
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices. - Irfan Glogic, Maciej Maliborski, Birgit Schörkhuber:
Threshold for blowup for the supercritical cubic wave equation. - Konstantin Usevich, Jianze Li, Pierre Comon:
Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. - Francisco J. Escribano, Alexandre Wagemakers, Georges Kaddoum, Joao V. C. Evangelista:
Design and Performance Analysis of an Index Time Frequency Modulation Scheme for Optical Communications. - Parker Kuklinski, Mark A. Kon:
Bifurcation Curves of Two-Dimensional Quantum Walks. - Can Chen, Amit Surana, Anthony M. Bloch, Indika Rajapakse:
Multilinear Control Systems Theory. - Joseph Collins, Ross Duncan:
Hopf-Frobenius Algebras and a Simpler Drinfeld Double. 150-180 - Alexandru Gheorghiu, Chris Heunen:
Ontological models for quantum theory as functors. 196-212
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