2020.7.20 Learning papers

07-16-2020	Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data by Ryan Cohn et al
07-16-2020	Accelerating 3D Deep Learning with PyTorch3D by Nikhila Ravi et al
07-16-2020	SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design by Ari Seff et al
07-16-2020	Deep Learning in Protein Structural Modeling and Design by Wenhao Gao et al
07-15-2020	OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features by Zhuoran Qiao et al
07-14-2020	Goal-Aware Prediction: Learning to Model What Matters by Suraj Nair et al
07-15-2020	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators by Yasuhiro Fujita et al
07-14-2020	Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics by Vinay V. Ramasesh et al
07-14-2020	Automated Synthetic-to-Real Generalization by Wuyang Chen et al
07-14-2020	Multitask Learning Strengthens Adversarial Robustness by Chengzhi Mao et al
07-15-2020	Visualizing Transfer Learning by Róbert Szabó et al
07-16-2020	Learning from Noisy Labels with Deep Neural Networks: A Survey by Hwanjun Song et al
07-15-2020	A Survey of Privacy Attacks in Machine Learning by Maria Rigaki et al
07-14-2020	Causal Inference using Gaussian Processes with Structured Latent Confounders by Sam Witty et al
07-16-2020	Active Learning under Label Shift by Eric Zhao et al
07-14-2020	Sudo rm -rf: Efficient Networks for Universal Audio Source Separation by Efthymios Tzinis et al
07-15-2020	Explaining Deep Neural Networks using Unsupervised Clustering by Yu-han Liu et al
07-14-2020	Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid by Andrew C. Kirby et al
07-15-2020	A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection by Manu Goyal et al
07-16-2020	Controllable Image Synthesis via SegVAE by Yen-Chi Cheng et al
07-15-2020	Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT by Yang Jiao
07-16-2020	Towards Evaluating Driver Fatigue with Robust Deep Learning Models by Ken Alparslan et al
07-15-2020	Memory Based Attentive Fusion by Darshana Priyasad et al
07-15-2020	EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation by Christopher Neff et al
07-16-2020	Black-Box Watermarking for Generative Adversarial Networks by Vladislav Skripniuk et al
07-15-2020	Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons by Paul Micaelli et al
07-16-2020	Do Adversarially Robust ImageNet Models Transfer Better? by Hadi Salman et al
07-15-2020	Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer by Yuanyi Zhong et al
07-15-2020	Differential Replication in Machine Learning by Irene Unceta et al
07-15-2020	Filter Style Transfer between Photos by Jonghwa Yim et al
07-16-2020	Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data by Julian Bitterwolf et al
07-16-2020	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances by Jihoon Tack et al
07-15-2020	Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study by Joseph Bae et al
07-16-2020	Towards Debiasing Sentence Representations by Paul Pu Liang et al
07-15-2020	Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms by Firoj Alam et al
07-15-2020	Attention-Based Query Expansion Learning by Albert Gordo et al
07-16-2020	Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds by Li Yi et al
07-15-2020	CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds by A. H. Nielsen et al
07-16-2020	DRIFT: Deep Reinforcement Learning for Functional Software Testing by Luke Harries et al
07-15-2020	Combining Task Predictors via Enhancing Joint Predictability by Kwang In Kim et al
07-16-2020	Natural Graph Networks by Pim de Haan et al
07-16-2020	Layer-Wise Adaptive Updating for Few-Shot Image Classification by Yunxiao Qin et al
07-16-2020	Data-driven effective model shows a liquid-like deep learning by Wenxuan Zou et al
07-16-2020	On Power Laws in Deep Ensembles by Ekaterina Lobacheva et al
07-16-2020	Kronecker Attention Networks by Hongyang Gao et al
07-16-2020	Multi-Task Pruning for Semantic Segmentation Networks by Xinghao Chen et al
07-15-2020	On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations by Spandan Madan et al
07-15-2020	Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect by José Daniel Pascual-Triana et al
07-14-2020	AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows by Hadi M. Dolatabadi et al
07-16-2020	Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design by Shusen Liu et al
07-16-2020	An Empirical Study on the Robustness of NAS based Architectures by Chaitanya Devaguptapu et al
07-14-2020	Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations by Hong-Yu Zhou et al
07-16-2020	3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels by Yimin Liu et al
07-16-2020	A high fidelity synthetic face framework for computer vision by Tadas Baltrusaitis et al
07-14-2020	Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users by Laurent Valentin Jospin et al
07-17-2020	Generating Person Images with Appearance-aware Pose Stylizer by Siyu Huang et al
07-16-2020	DeepInit Phase Retrieval by Martin Reiche et al
07-14-2020	Concept Learners for Generalizable Few-Shot Learning by Kaidi Cao et al
07-16-2020	COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest-Ray Images by Sheetal Rajpal et al
07-15-2020	Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media by Alberto Barron-Cedeno et al
07-14-2020	Conditional Image Retrieval by Mark Hamilton et al
07-15-2020	Kernel Method based on Non-Linear Coherent State by Prayag Tiwari et al
07-16-2020	openDD: A Large-Scale Roundabout Drone Dataset by Antonia Breuer et al
07-15-2020	SpaceNet: Make Free Space For Continual Learning by Ghada Sokar et al
07-14-2020	Video Object Segmentation with Episodic Graph Memory Networks by Xinkai Lu et al
07-14-2020	Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets by Jiuniu Wang et al
07-16-2020	FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning by Chia-Wen Kuo et al
07-16-2020	Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters by Haoyu Liang et al
07-14-2020	A Pairwise Fair and Community-preserving Approach to k-Center Clustering by Brian Brubach et al
07-15-2020	Inductive Link Prediction for Nodes Having Only Attribute Information by Yu Hao et al
07-15-2020	Compression strategies and space-conscious representations for deep neural networks by Giosuè Cataldo Marinò et al
07-15-2020	Deep Representation Learning and Clustering of Traffic Scenarios by Nick Harmening et al
07-15-2020	A General Family of Stochastic Proximal Gradient Methods for Deep Learning by Jihun Yun et al
07-16-2020	Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation by Ning Ding et al
07-14-2020	Our Evaluation Metric Needs an Update to Encourage Generalization by Swaroop Mishra et al
07-15-2020	Active World Model Learning with Progress Curiosity by Kuno Kim et al
07-16-2020	Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources by Yun-Yun Tsai et al
07-15-2020	Deep Learning for Abstract Argumentation Semantics by Dennis Craandijk et al
07-14-2020	Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation by Georg A. Gottwald et al
07-14-2020	P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection by Zhiwei Zhang et al
07-15-2020	Evaluation of Neural Network Classification Systems on Document Stream by Joris Voerman et al
07-14-2020	On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models by Kim A. Nicoli et al
07-15-2020	Decoding CNN based Object Classifier Using Visualization by Abhishek Mukhopadhyay et al
07-15-2020	A Survey on Computational Propaganda Detection by Giovanni Da San Martino et al
07-14-2020	Relaxed-Responsibility Hierarchical Discrete VAEs by Matthew Willetts et al
07-15-2020	CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions by Zhongdao Wang et al
07-14-2020	Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer by Aswin Raghavan et al
07-15-2020	Few-shot Scene-adaptive Anomaly Detection by Yiwei Lu et al
07-14-2020	Learning to Sample with Local and Global Contexts in Experience Replay Buffer by Youngmin Oh et al
07-15-2020	Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks by Pavel Blinov et al
07-16-2020	Deep Learning Backdoors by Shaofeng Li et al
07-14-2020	Shuffling Recurrent Neural Networks by Michael Rotman et al
07-16-2020	Mixture of Step Returns in Bootstrapped DQN by Po-Han Chiang et al
07-16-2020	Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study by Teng Liu et al
07-14-2020	Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP by Amy Zhang et al
07-17-2020	Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context by Ehsan Toreini et al
07-17-2020	Discovering Reinforcement Learning Algorithms by Junhyuk Oh et al
07-14-2020	From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines by Alistair Shilton
07-15-2020	Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies by Uthsav Chitra et al
07-17-2020	AlignNet: Unsupervised Entity Alignment by Antonia Creswell et al
07-15-2020	Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows by Ali Siahkoohi et al
07-14-2020	Identifying Reward Functions using Anchor Actions by Sinong Geng et al
07-14-2020	Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances by Kundan Krishna et al
07-15-2020	GraphCL: Contrastive Self-Supervised Learning of Graph Representations by Hakim Hafidi et al
07-15-2020	Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction by Shivam Chandhok et al
07-15-2020	A fast noise filtering algorithm for time series prediction using recurrent neural networks by Boris Rubinstein
07-16-2020	Learning perturbation sets for robust machine learning by Eric Wong et al
07-14-2020	Towards Dense People Detection with Deep Learning and Depth images by David Fuentes-Jimenez et al
07-14-2020	Misclassification cost-sensitive ensemble learning: A unifying framework by George Petrides et al
07-14-2020	Towards a Theoretical Understanding of the Robustness of Variational Autoencoders by Alexander Camuto et al
07-15-2020	Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry by Kashmira Shinde et al
07-16-2020	Provably Good Batch Reinforcement Learning Without Great Exploration by Yao Liu et al
07-15-2020	Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach by Akshay Kumar et al
07-16-2020	An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings by Ali H. Al-Timemy et al
07-14-2020	Efficient Online Estimation of Empowerment for Reinforcement Learning by Ruihan Zhao et al
07-16-2020	Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification by Yeunju Choi et al
07-17-2020	Neural Architecture Search for Speech Recognition by Shoukang Hu et al
07-17-2020	Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding? by Serkan Sulun et al
07-15-2020	Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features by Moab Arar et al
07-14-2020	Deep learning models for representing out-of-vocabulary words by Johannes V. Lochter et al

07-15-2020	Evaluating and Validating Cluster Results by Anupriya Vysala et al
07-17-2020	Mixing Real and Synthetic Data to Enhance Neural Network Training -- A Review of Current Approaches by Viktor Seib et al
07-15-2020	Decoding 5G-NR Communications via Deep Learning by Pol Henarejos et al
07-14-2020	Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity by Kaiqing Zhang et al
07-16-2020	Meta-Gradient Reinforcement Learning with an Objective Discovered Online by Zhongwen Xu et al
07-15-2020	GRADE: Graph Dynamic Embedding by Simeon Spasov et al
07-14-2020	Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent by Bowen Weng et al
07-17-2020	Sequential Explanations with Mental Model-Based Policies by Arnold YS Yeung et al
07-15-2020	Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks by Sharath M Shankaranarayana et al
07-16-2020	Understanding and Diagnosing Vulnerability under Adversarial Attacks by Haizhong Zheng et al
07-17-2020	Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation by Jinglin Liu et al
07-16-2020	Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning by Sandeep Madireddy et al
07-14-2020	Whats in a Name? Are BERT Named Entity Representations just as Good for any other Name? by Sriram Balasubramanian et al
07-16-2020	Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation by Xuming Ran et al
07-17-2020	CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis by Liantao Ma et al
07-16-2020	Graph topology inference benchmarks for machine learning by Carlos Lassance et al
07-14-2020	Robust Identifiability in Linear Structural Equation Models of Causal Inference by Karthik Abinav Sankararaman et al
07-17-2020	Uncertainty Quantification and Deep Ensembles by Rahul Rahaman et al
07-14-2020	Streaming Probabilistic Deep Tensor Factorization by Shikai Fang et al
07-14-2020	Serverless inferencing on Kubernetes by Clive Cox et al
07-15-2020	Importance of Tuning Hyperparameters of Machine Learning Algorithms by Hilde J. P. Weerts et al
07-16-2020	Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data by Yu Liang et al
07-14-2020	Downsampling for Testing and Learning in Product Distributions by Nathaniel Harms et al
07-16-2020	On Robustness and Transferability of Convolutional Neural Networks by Josip Djolonga et al
07-16-2020	Detecting Human-Object Interactions with Action Co-occurrence Priors by Dong-Jin Kim et al
07-15-2020	Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model by Ramon Gomes da Silva et al
07-17-2020	Backdoor Learning: A Survey by Yiming Li et al
07-16-2020	Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios by Xiong Zhou et al
07-15-2020	New Nearly-Optimal Coreset for Kernel Density Estimation by Wai Ming Tai
07-15-2020	HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems by Ali HeydariGorji et al
07-15-2020	Atomistic Structure Learning Algorithm with surrogate energy model relaxation by Henrik Lund Mortensen et al
07-16-2020	PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning by Alekh Agarwal et al
07-14-2020	Accelerating the identification of informative reduced representations of proteins with deep learning for graphs by Federico Errica et al
07-17-2020	Training with reduced precision of a support vector machine model for text classification by Dominik Żurek et al
07-17-2020	Revisiting Rubiks Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation by Xing Tao et al
07-14-2020	Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations by Rui Zhu et al
07-14-2020	Global Convergence of Second-order Dynamics in Two-layer Neural Networks by Walid Krichene et al
07-15-2020	Using LSTM and SARIMA Models to Forecast Cluster CPU Usage by Langston Nashold et al
07-14-2020	Deep Learning for Quantile Regression: DeepQuantreg by Yichen Jia et al
07-17-2020	GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild by Umberto Michieli et al
07-16-2020	Optimal Robust Linear Regression in Nearly Linear Time by Yeshwanth Cherapanamjeri et al
07-16-2020	Channel-wise Autoregressive Entropy Models for Learned Image Compression by David Minnen et al
07-17-2020	Adaptive Gradient Methods for Constrained Convex Optimization by Alina Ene et al
07-17-2020	Hybrid Discriminative-Generative Training via Contrastive Learning by Hao Liu et al
07-16-2020	Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle by Xiaowei Guo et al
07-14-2020	A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks by Suchuan Dong et al
07-15-2020	Multimodal Word Sense Disambiguation in Creative Practice by Manuel Ladron de Guevara et al
07-16-2020	Adaptive Task Sampling for Meta-Learning by Chenghao Liu et al
07-16-2020	Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval by Christopher Thomas et al
07-17-2020	Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning by Sarah Kentsch et al
07-16-2020	The Sparse Hausdorff Moment Problem, with Application to Topic Models by Spencer Gordon et al
07-16-2020	Audio Tagging by Cross Filtering Noisy Labels by Boqing Zhu et al
07-14-2020	Sequence-guided protein structure determination using graph convolutional and recurrent networks by Po-Nan Li et al
07-15-2020	An Ensemble of Convolutional Neural Networks for Audio Classification by Loris Nanni et al
07-14-2020	Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors by Alireza Abedin et al
07-17-2020	Provably Consistent Partial-Label Learning by Lei Feng et al
07-17-2020	Multi-Stage Influence Function by Hongge Chen et al
07-16-2020	Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis by Kavi Gupta et al
07-15-2020	Improved algorithms for online load balancing by Yaxiong Liu et al
07-17-2020	Towards an Automated SOAP Note: Classifying Utterancesfrom Medical Conversations by Benjamin Schloss et al
07-16-2020	Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation by Hu Hu et al
07-14-2020	Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform by Jimin Wang et al
07-15-2020	Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis by Yifei Shen et al
07-17-2020	Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice by Nir Ailon et al
07-14-2020	Long-tail learning via logit adjustment by Aditya Krishna Menon et al
07-14-2020	Multiview Detection with Feature Perspective Transformation by Yunzhong Hou et al
07-17-2020	Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series by Jingjie Zhu et al
07-17-2020	Hyperparameter Selection for Offline Reinforcement Learning by Tom Le Paine et al
07-14-2020	Learning Syllogism with Euler Neural-Networks by Tiansi Dong et al
07-15-2020	Logic Constrained Pointer Networks for Interpretable Textual Similarity by Subhadeep Maji et al
07-14-2020	Mixture Complexity and Its Application to Gradual Clustering Change Detection by Shunki Kyoya et al
07-14-2020	Quantum exploration algorithms for multi-armed bandits by Daochen Wang et al
07-17-2020	Sequential Segment-based Level Generation and Blending using Variational Autoencoders by Anurag Sarkar et al
07-14-2020	Attentive Graph Neural Networks for Few-Shot Learning by Hao Cheng et al
07-17-2020	Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts by Vahid Yaghoubi et al
07-15-2020	Bitcoin Transaction Forecasting with Deep Network Representation Learning by Wenqi Wei et al
07-14-2020	Learning Choice Functions via Pareto-Embeddings by Karlson Pfannschmidt et al
07-17-2020	SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression by Jinming Zhao et al
07-14-2020	Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning by Yifei Zhang et al
07-14-2020	Modeling Financial Time Series using LSTM with Trainable Initial Hidden States by Jungsik Hwang
07-17-2020	A Differential Game Theoretic Neural Optimizer for Training Residual Networks by Guan-Horng Liu et al
07-14-2020	Contextualized Code Representation Learning for Commit Message Generation by Lun Yiu Nie et al
07-15-2020	The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction by Alice Martin et al
07-17-2020	Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism by Nataliya Sokolovska et al
07-14-2020	Modeling Voting for System Combination in Machine Translation by Xuancheng Huang et al
07-14-2020	MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering by Di Ma et al
07-16-2020	Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning by Jiangdong Liao et al
07-17-2020	Synthetic and Real Inputs for ToolSegmentation in Robotic Surgery by Emanuele Colleoni et al
07-16-2020	BRP-NAS: Prediction-based NAS using GCNs by Thomas Chau et al
07-15-2020	Fast Distributed Bandits for Online Recommendation Systems by Kanak Mahadik et al
07-16-2020	TUDataset: A collection of benchmark datasets for learning with graphs by Christopher Morris et al
07-17-2020	Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques by E. Zioga et al
07-14-2020	Explicit Regularisation in Gaussian Noise Injections by Alexander Camuto et al
07-14-2020	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning by Shauharda Khadka et al
07-15-2020	Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning by Sabrina Hoppe et al
07-15-2020	Lifelong Learning of Compositional Structures by Jorge A. Mendez et al
07-17-2020	Probabilistic Active Meta-Learning by Jean Kaddour et al
07-16-2020	Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units by Fernando Andreotti et al
07-17-2020	Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinsons Disease Motor Severity by Mandy Lu et al
07-14-2020	Programming by Rewards by Nagarajan Natarajan et al
07-14-2020	Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting by Jorge A. Mendez et al
07-15-2020	Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors by Aditya M. Deshpande et al
07-15-2020	Experimental Design for Bathymetry Editing by Julaiti Alafate et al
07-15-2020	Measurement error models: from nonparametric methods to deep neural networks by Zhirui Hu et al
07-17-2020	Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures by Daniel Furrer et al
07-16-2020	Bandits for BMO Functions by Tianyu Wang et al
07-17-2020	Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start by Weiwen Jiang et al
07-16-2020	FTRANS: Energy-Efficient Acceleration of Transformers using FPGA by Bingbing Li et al
07-14-2020	Optimal Learning for Structured Bandits by Bart P. G. Van Parys et al
07-16-2020	Random Forest for Dissimilarity-based Multi-view Learning by Simon Bernard et al
07-15-2020	Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications by Xianfu Chen et al
07-16-2020	Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement by Ron Shoham et al
07-17-2020	Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective by Qiang Liu et al
07-14-2020	Using Holographically Compressed Embeddings in Question Answering by Salvador E. Barbosa
07-17-2020	Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification by Gurhan Ceylan et al
07-14-2020	Plateau Phenomenon in Gradient Descent Training of ReLU networks: Explanation, Quantification and Avoidance by Mark Ainsworth et al
07-17-2020	Prioritized Multi-Criteria Federated Learning by Vito Walter Anelli et al
07-15-2020	An ~O(n5/4)O~(n5/4) Time εε-Approximation Algorithm for RMS Matching in a Plane by Nathaniel Lahn et al
07-15-2020	Phase diagram for two-layer ReLU neural networks at infinite-width limit by Tao Luo et al
07-17-2020	A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum by Jan Niklas Böhm et al

07-17-2020	Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing by Ricardo Ñanculef et al
07-15-2020	timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers by Felix Mujkanovic et al
07-15-2020	FetchSGD: Communication-Efficient Federated Learning with Sketching by Daniel Rothchild et al
07-17-2020	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning by Jaehyung Kim et al
07-16-2020	Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment by Teng Liu et al
07-15-2020	Inverse Reinforcement Learning from a Gradient-based Learner by Giorgia Ramponi et al
07-15-2020	Learning Invariances for Interpretability using Supervised VAE by An-phi Nguyen et al
07-15-2020	MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry by Cedric Schockaert et al
07-15-2020	Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization by Parth Patel et al
07-14-2020	Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks by Yaniv Yacoby et al
07-16-2020	Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models by Haolin Chen et al
07-17-2020	Knowledge Distillation in Deep Learning and its Applications by Abdolmaged Alkhulaifi et al
07-14-2020	A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications by Prateek Verma et al
07-14-2020	Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow by Alexandre Velloso et al
07-16-2020	Transferable Calibration with Lower Bias and Variance in Domain Adaptation by Ximei Wang et al
07-14-2020	Statistical Inference for Networks of High-Dimensional Point Processes by Xu Wang et al
07-15-2020	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization by Jianyu Wang et al
07-15-2020	Detecting Deepfake Videos: An Analysis of Three Techniques by Armaan Pishori et al
07-15-2020	Newton-based Policy Optimization for Games by Giorgia Ramponi et al
07-15-2020	Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate by Linhong Li et al
07-16-2020	Data Poisoning Attacks Against Federated Learning Systems by Vale Tolpegin et al
07-16-2020	On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation by Amila Silva et al
07-17-2020	Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review by Tommaso Dorigo et al
07-16-2020	Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification by I. Cardoso-Pereira et al
07-16-2020	Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs by Dasol Hwang et al
07-16-2020	Evaluating Community Detection Algorithms for Progressively Evolving Graphs by Remy Cazabet et al
07-15-2020	Static analysis of executable files by machine learning methods by Nikolay Prudkovskiy
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