2020.7.6 Learning papers

06-30-2020	GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding by Dmitry Lepikhin et al
06-30-2020	Involutive MCMC: a Unifying Framework by Kirill Neklyudov et al
07-01-2020	Causal Discovery in Physical Systems from Videos by Yunzhu Li et al
07-01-2020	Object Goal Navigation using Goal-Oriented Semantic Exploration by Devendra Singh Chaplot et al
07-01-2020	Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval by Lee Xiong et al
07-01-2020	Debiased Contrastive Learning by Ching-Yao Chuang et al
06-30-2020	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning by Elise van der Pol et al
06-30-2020	Similarity Search for Efficient Active Learning and Search of Rare Concepts by Cody Coleman et al
06-30-2020	Model-based Reinforcement Learning: A Survey by Thomas M. Moerland et al
07-01-2020	Swapping Autoencoder for Deep Image Manipulation by Taesung Park et al
07-01-2020	Sequential Transfer in Reinforcement Learning with a Generative Model by Andrea Tirinzoni et al
07-02-2020	Deep Single Image Manipulation by Yael Vinker et al
07-01-2020	Drug discovery with explainable artificial intelligence by José Jiménez-Luna et al
06-30-2020	Deep Geometric Texture Synthesis by Amir Hertz et al
06-30-2020	Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules by Sarthak Mittal et al
07-01-2020	Adaptive Procedural Task Generation for Hard-Exploration Problems by Kuan Fang et al
07-02-2020	Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights by Shail Dave et al
07-02-2020	Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering by Gautier Izacard et al
07-02-2020	Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification by Chetanya Rastogi et al
07-01-2020	Adversarial Example Games by Avishek Joey Bose et al
06-30-2020	Sparse Gaussian Processes with Spherical Harmonic Features by Vincent Dutordoir et al
07-02-2020	In Search of Lost Domain Generalization by Ishaan Gulrajani et al
07-02-2020	PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding by Kanish Garg et al
07-01-2020	Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search by Linnan Wang et al
07-02-2020	A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning by Partoo Vafaeikia et al
07-01-2020	Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning by Mason T. Chen et al
06-30-2020	De-anonymization of authors through arXiv submissions during double-blind review by Homanga Bharadhwaj et al
07-02-2020	MPLP: Learning a Message Passing Learning Protocol by Ettore Randazzo et al
06-30-2020	Early-Learning Regularization Prevents Memorization of Noisy Labels by Sheng Liu et al
07-01-2020	Linear Convergent Decentralized Optimization with Compression by Xiaorui Liu et al
06-30-2020	Is Robustness To Transformations Driven by Invariant Neural Representations? by Syed Suleman Abbas Zaidi et al
07-02-2020	Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models by Yuge Shi et al
07-01-2020	Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network by Shankhyajyoti De et al
07-02-2020	Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning by Zhongzheng Ren et al
06-30-2020	Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs by Furkan Ozcelik et al
07-02-2020	Iterative Bounding Box Annotation for Object Detection by Bishwo Adhikari et al
07-01-2020	Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey by Samuel Henrique Silva et al
07-02-2020	A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization by Boyu Zhang et al
07-02-2020	Are there any object detectors in the hidden layers of CNNs trained to identify objects or scenes? by Ella M. Gale et al
07-03-2020	Hedging using reinforcement learning: Contextual kk-Armed Bandit versus QQ-learning by Loris Cannelli et al
07-01-2020	Low-light Environment Neural Surveillance by Michael Potter et al
07-02-2020	Curriculum Manager for Source Selection in Multi-Source Domain Adaptation by Luyu Yang et al
07-03-2020	Self-Supervised GAN Compression by Chong Yu et al
07-01-2020	Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge by Pat Verga et al
07-02-2020	Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning by Hui Xie et al
07-01-2020	LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity by Jordan J. Bird et al
07-02-2020	A Closer Look at Local Aggregation Operators in Point Cloud Analysis by Ze Liu et al
06-30-2020	BitMix: Data Augmentation for Image Steganalysis by In-Jae Yu et al
07-01-2020	ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks by Miguel Villarreal-Vasquez et al
07-02-2020	Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning by Remis Balaniuk et al
07-01-2020	Query-Free Adversarial Transfer via Undertrained Surrogates by Chris Miller et al
06-30-2020	Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers by Kiwon Um et al
07-01-2020	Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet by Hao Chen et al
07-01-2020	Lightme: Analysing Language in Internet Support Groups for Mental Health by Gabriela Ferraro et al
06-30-2020	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving by Zhangjie Cao et al
07-01-2020	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location by Rasheed el-Bouri et al
06-30-2020	Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey by Matthias Rath et al
07-02-2020	Scene Graph Reasoning for Visual Question Answering by Marcel Hildebrandt et al
06-30-2020	Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport by Gonzalo Mena et al
06-30-2020	Deep neural networks for the evaluation and design of photonic devices by Jiaqi Jiang et al
06-30-2020	Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs by Ang Li et al
07-01-2020	Accelerated Message Passing for Entropy-Regularized MAP Inference by Jonathan N. Lee et al
07-01-2020	Robust navigation with tinyML for autonomous mini-vehicles by Miguel de Prado et al
07-01-2020	Policy Improvement from Multiple Experts by Ching-An Cheng et al
07-01-2020	Rethink Maximum Mean Discrepancy for Domain Adaptation by Wei Wang et al
06-30-2020	I call BS: Fraud Detection in Crowdfunding Campaigns by Beatrice Perez et al
07-02-2020	Persistent Neurons by Yimeng Min
06-30-2020	Self-Supervised Learning of a Biologically-Inspired Visual Texture Model by Nikhil Parthasarathy et al
07-01-2020	Parkinsons Disease Detection Using Ensemble Architecture from MR Images by Tahjid Ashfaque Mostafa et al
06-30-2020	OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings by Sunipa Dev et al
06-30-2020	Deep Feature Space: A Geometrical Perspective by Ioannis Kansizoglou et al
07-02-2020	Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance by Blair Bilodeau et al
06-30-2020	Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency by Robert Geirhos et al
06-30-2020	Actionable Attribution Maps for Scientific Machine Learning by Shusen Liu et al
06-30-2020	Deep Learning for Vision-based Prediction: A Survey by Amir Rasouli
06-30-2020	Classification Confidence Estimation with Test-Time Data-Augmentation by Yuval Bahat et al
07-02-2020	NLNDE: The Neither-Language-Nor-Domain-Experts Way of Spanish Medical Document De-Identification by Lukas Lange et al
07-02-2020	The Global Landscape of Neural Networks: An Overview by Ruoyu Sun et al
06-30-2020	Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation by Yoel Zeldes et al
07-02-2020	Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy by Nuria Rodríguez-Barroso et al
07-02-2020	Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics by Jie Bu et al
07-01-2020	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks by Denny Zhou et al
07-02-2020	Federated Learning with Compression: Unified Analysis and Sharp Guarantees by Farzin Haddadpour et al
06-30-2020	Modality-Agnostic Attention Fusion for visual search with text feedback by Eric Dodds et al
07-02-2020	ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact by Moritz Geilinger et al
07-01-2020	On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks by Benjamin Lengerich et al
07-01-2020	Adaptive Discretization for Model-Based Reinforcement Learning by Sean R. Sinclair et al
06-30-2020	Sliced Kernelized Stein Discrepancy by Wenbo Gong et al
07-02-2020	Confidence-Aware Learning for Deep Neural Networks by Jooyoung Moon et al
07-02-2020	RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning by Chih-Hsing Ho et al
06-30-2020	Improving robustness against common corruptions by covariate shift adaptation by Steffen Schneider et al
07-01-2020	Sliced Iterative Generator by Biwei Dai et al
07-03-2020	Self-supervised Neural Architecture Search by Sapir Kaplan et al
06-30-2020	Approximation with Tensor Networks. Part I: Approximation Spaces by Mazen Ali et al
07-02-2020	Verifiably Safe Exploration for End-to-End Reinforcement Learning by Nathan Hunt et al
06-30-2020	A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing by Du Xiaorui et al
06-30-2020	Maximum Entropy Models for Fast Adaptation by Samarth Sinha et al
06-30-2020	Evaluation of Contemporary Convolutional Neural Network Architectures for Detecting COVID-19 from Chest Radiographs by Nikita Albert
06-30-2020	EasyQuant: Post-training Quantization via Scale Optimization by Di Wu et al
06-30-2020	Theory-Inspired Path-Regularized Differential Network Architecture Search by Pan Zhou et al
07-02-2020	Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization? by Yaniv Blumenfeld et al
06-30-2020	Graph Clustering with Graph Neural Networks by Anton Tsitsulin et al
06-30-2020	Approximation with Tensor Networks. Part II: Approximation Rates for Smoothness Classes by Mazen Ali et al
07-02-2020	Learn Faster and Forget Slower via Fast and Stable Task Adaptation by Farshid Varno et al
06-30-2020	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification by Hongyuan Mei et al
06-30-2020	Predicting Sample Collision with Neural Networks by Tuan Tran et al
07-01-2020	A Transformer-based Audio Captioning Model with Keyword Estimation by Yuma Koizumi et al
07-03-2020	Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations by Shuo Lei et al
07-03-2020	Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification by Bin Wang et al
06-30-2020	Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning by Linde S. Hesse et al
07-01-2020	M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning by Karol Gotkowski et al
07-01-2020	Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking by Dominika Przewlocka et al
07-01-2020	The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation by Yuma Koizumi et al
07-01-2020	A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks by Huanru Henry Mao
07-03-2020	A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review by Adam Bignold et al
06-30-2020	SE3M: A Model for Software Effort Estimation Using Pre-trained Embedding Models by Eliane M. De Bortoli Fávero et al
07-03-2020	Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds by Swaroop Bhandary K et al
07-02-2020	Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints by C. P. Andriotis et al
07-03-2020	Domain Adaptation without Source Data by Youngeun Kim et al
06-30-2020	Tackling Occlusion in Siamese Tracking with Structured Dropouts by Deepak K. Gupta et al
06-30-2020	Large-scale inference of liver fat with neural networks on UK Biobank body MRI by Taro Langner et al
07-01-2020	Robust Learning against Logical Adversaries by Yizhen Wang et al
07-03-2020	Mathematical Perspective of Machine Learning by Yarema Boryshchak
07-01-2020	Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes by Timothée Lesort
06-30-2020	Ideal formulations for constrained convex optimization problems with indicator variables by Linchuan Wei et al
07-02-2020	Posterior Model Adaptation With Updated Priors by Jim Davis
07-03-2020	Towards Robust Deep Learning with Ensemble Networks and Noisy Layers by Yuting Liang et al
07-03-2020	Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks by Yuqian Jiang et al
06-30-2020	A Data-driven Neural Network Architecture for Sentiment Analysis by Erion Çano et al
06-30-2020	Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures by Jiachen Sun et al
07-01-2020	A New Basis for Sparse PCA by Fan Chen et al
07-02-2020	Interactive Knowledge Distillation by Shipeng Fu et al
06-30-2020	Generating Adversarial Examples with an Optimized Quality by Aminollah Khormali et al
06-30-2020	Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications by Eric Wong et al
07-01-2020	BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture by Tiange Xiang et al
07-03-2020	Learning to Prune in Training via Dynamic Channel Propagation by Shibo Shen et al
06-30-2020	Continuous-Time Multi-Armed Bandits with Controlled Restarts by Semih Cayci et al
07-01-2020	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering by Ben Bogin et al
07-02-2020	Compressed Sensing via Measurement-Conditional Generative Models by Kyung-Su Kim et al
07-01-2020	Partial Recovery in the Graph Alignment Problem by Georgina Hall et al
07-01-2020	On Linear Identifiability of Learned Representations by Geoffrey Roeder et al
07-02-2020	Generative Modeling for Atmospheric Convection by Griffin Mooers et al
07-03-2020	PsychFM: Predicting your next gamble by Prakash Rajan et al
07-01-2020	Convolutional Neural Network Training with Distributed K-FAC by J. Gregory Pauloski et al
07-02-2020	Decoder-free Robustness Disentanglement without (Additional) Supervision by Yifei Wang et al
07-03-2020	Deep interpretability for GWAS by Deepak Sharma et al
07-03-2020	MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks by Yusi Zhang et al
07-03-2020	An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques by Joris Mollinga et al
06-30-2020	Graph Neural Networks Including Sparse Interpretability by Chris Lin et al
07-02-2020	Hybrid deep learning architecture for general disruption prediction across tokamaks by J. X. Zhu et al
06-30-2020	Online Domain Adaptation for Occupancy Mapping by Anthony Tompkins et al
07-02-2020	Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring by Zhihui Shao et al
07-01-2020	Measuring Robustness to Natural Distribution Shifts in Image Classification by Rohan Taori et al
07-02-2020	On the Outsized Importance of Learning Rates in Local Update Methods by Zachary Charles et al
07-02-2020	Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach by M. Maruf et al
07-02-2020	Gamification of Pure Exploration for Linear Bandits by Rémy Degenne et al
07-03-2020	Explainable Deep One-Class Classification by Philipp Liznerski et al
06-30-2020	Ontology-guided Semantic Composition for Zero-Shot Learning by Jiaoyan Chen et al
07-03-2020	Continuously Indexed Domain Adaptation by Hao Wang et al

07-02-2020	A Revision of Neural Tangent Kernel-based Approaches for Neural Networks by Kyung-Su Kim et al
07-03-2020	Interpretable Sequence Classification Via Prototype Trajectory by Dat Hong et al
07-03-2020	Swoosh! Rattle! Thump! -- Actions that Sound by Dhiraj Gandhi et al
07-03-2020	Expected Eligibility Traces by Hado van Hasselt et al
07-02-2020	BOSH: Bayesian Optimization by Sampling Hierarchically by Henry B. Moss et al
07-02-2020	Human-centered collaborative robots with deep reinforcement learning by Ali Ghadirzadeh et al
07-03-2020	On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation by Jianing Li et al
07-01-2020	In-Distribution Interpretability for Challenging Modalities by Cosmas Heiß et al
07-01-2020	Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation by Andreas Pfeuffer et al
07-02-2020	Learning Orientation Distributions for Object Pose Estimation by Brian Okorn et al
07-01-2020	Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks by Xiaochen Yang et al
07-01-2020	Build2Vec: Building Representation in Vector Space by Mahmoud Abdelrahman et al
07-01-2020	Unifying Model Explainability and Robustness via Machine-Checkable Concepts by Vedant Nanda et al
06-30-2020	Sampling from a kk-DPP without looking at all items by Daniele Calandriello et al
07-01-2020	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases by Junhao Wen et al
07-03-2020	Descending through a Crowded Valley -- Benchmarking Deep Learning Optimizers by Robin M. Schmidt et al
06-30-2020	Deep reinforcement learning approach to MIMO precoding problem: Optimality and Robustness by Heunchul Lee et al
07-01-2020	Bayesian Coresets: An Optimization Perspective by Jacky Y. Zhang et al
06-30-2020	On the Applicability of ML Fairness Notions by Karima Makhlouf et al
07-01-2020	Convex Regularization in Monte-Carlo Tree Search by Tuan Dam et al
07-02-2020	{\epsilon}-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning by Michael Gimelfarb et al
07-02-2020	Improved Preterm Prediction Based on Optimized Synthetic Sampling of EHG Signal by Jinshan Xu et al
06-30-2020	Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence by Dayu Zhu et al
07-01-2020	Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series by Vivien Sainte Fare Garnot et al
07-03-2020	Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset by Sören Dittmer et al
07-02-2020	DATE: Defense Against TEmperature Side-Channel Attacks in DVFS Enabled MPSoCs by Somdip Dey et al
06-30-2020	Learning an arbitrary mixture of two multinomial logits by Wenpin Tang
07-03-2020	Scaling Graph Neural Networks with Approximate PageRank by Aleksandar Bojchevski et al
07-03-2020	Improving auto-encoder novelty detection using channel attention and entropy minimization by Dongyan Guo et al
07-01-2020	Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture by Zhun Fan et al
07-03-2020	Variance reduction for Riemannian non-convex optimization with batch size adaptation by Andi Han et al
07-01-2020	End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network by Jun Niu
06-30-2020	A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition by Anurag Kumar et al
06-30-2020	Track Seeding and Labelling with Embedded-space Graph Neural Networks by Nicholas Choma et al
07-02-2020	Deep brain state classification of MEG data by Ismail Alaoui Abdellaoui et al
07-02-2020	Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks by Cong Fang et al
07-02-2020	Adapting kk-means algorithms for outliers by Christoph Grunau et al
06-30-2020	Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings by Xiao-Yue Gong et al
07-02-2020	Multi-Agent Low-Dimensional Linear Bandits by Ronshee Chawla et al
07-01-2020	Falsification-Based Robust Adversarial Reinforcement Learning by Xiao Wang et al
06-30-2020	Adversarial Mutual Information for Text Generation by Boyuan Pan et al
07-02-2020	Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch by Luca Viano et al
07-02-2020	Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows by Hamidreza Eivazi et al
06-30-2020	R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games by Zhongxiang Dai et al
06-30-2020	Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs by Yuesong Shen et al
07-02-2020	Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment by Xabier Echeberria-Barrio et al
06-30-2020	Black-box Certification and Learning under Adversarial Perturbations by Hassan Ashtiani et al
07-03-2020	On Symbolically Encoding the Behavior of Random Forests by Arthur Choi et al
07-03-2020	Pretrained Semantic Speech Embeddings for End-to-End Spoken Language Understanding via Cross-Modal Teacher-Student Learning by Pavel Denisov et al
07-01-2020	Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction by Christina Runkel et al
06-30-2020	Data Movement Is All You Need: A Case Study on Optimizing Transformers by Andrei Ivanov et al
07-02-2020	Learning to search efficiently for causally near-optimal treatments by Samuel Håkansson et al
07-01-2020	Inferring Human Observer Spectral Sensitivities from Video Game Data by Chatura Samarakoon et al
07-02-2020	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review by Marjane Khodatars et al
07-02-2020	Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers by Ridwan Alam et al
07-02-2020	A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes by Caio Davi et al
06-30-2020	An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies by Yassine El Ouahidi et al
07-02-2020	Adaptive Braking for Mitigating Gradient Delay by Abhinav Venigalla et al
07-03-2020	Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes by Yasmeen M. George et al
06-30-2020	Testing match-3 video games with Deep Reinforcement Learning by Nicholas Napolitano
07-01-2020	Bayesian tensor learning for structural monitoring data imputation and response forecasting by Pu Ren et al
07-01-2020	Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation? by Juanping Zhu et al
07-02-2020	Trace-Norm Adversarial Examples by Ehsan Kazemi et al
06-30-2020	Mining Documentation to Extract Hyperparameter Schemas by Guillaume Baudart et al
06-30-2020	A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs by Wonjun Ko et al
06-30-2020	Identifying Causal Effect Inference Failure with Uncertainty-Aware Models by Andrew Jesson et al
06-30-2020	Understanding Diversity based Pruning of Neural Networks -- Statistical Mechanical Analysis by Rupam Acharyya et al
06-30-2020	Enabling Continual Learning with Differentiable Hebbian Plasticity by Vithursan Thangarasa et al
07-02-2020	Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems by Mayalen Etcheverry et al
06-30-2020	Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution by Hadi Pouransari et al
07-02-2020	Epileptic seizure detection using deep learning techniques: A Review by Afshin Shoeibi et al
06-30-2020	Conditional Gradient Methods for convex optimization with function constraints by Guanghui Lan et al
07-02-2020	Improving Event Detection using Contextual Word and Sentence Embeddings by Mariano Maisonnave et al
07-02-2020	NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection by Lukas Lange et al
06-30-2020	Evaluating the Performance of Reinforcement Learning Algorithms by Scott M. Jordan et al
07-01-2020	Estimation with Uncertainty via Conditional Generative Adversarial Networks by Minhyeok Lee et al
07-02-2020	Joint Frequency- and Image-Space Learning for Fourier Imaging by Nalini M. Singh et al
07-03-2020	Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach by Jefferson Antonio Ribeiro Passerini et al
07-03-2020	On the Similarity between the Laplace and Neural Tangent Kernels by Amnon Geifman et al
06-30-2020	Associative Memory in Iterated Overparameterized Sigmoid Autoencoders by Yibo Jiang et al
06-30-2020	Sequential Unsupervised Domain Adaptation through Prototypical Distributions by Mohammad Rostami et al
07-01-2020	Bandit Linear Control by Asaf Cassel et al
07-01-2020	Gradient Temporal-Difference Learning with Regularized Corrections by Sina Ghiassian et al
07-03-2020	Online learning in MDPs with linear function approximation and bandit feedback by Gergely Neu et al
06-30-2020	Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks by Dmytro Perekrestenko et al
07-01-2020	Deep Learning Methods for Universal MISO Beamforming by Junbeom Kim et al
06-30-2020	A Comparative Study of Network Traffic Representations for Novelty Detection by Kun Yang et al
07-02-2020	Quantum Ensemble for Classification by Antonio Macaluso et al
06-30-2020	Its Time to Play Safe: Shield Synthesis for Timed Systems by Roderick Bloem et al
07-02-2020	Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach by Luofeng Liao et al
07-03-2020	DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction by Soheil Sadeghi Eshkevari et al
07-01-2020	Private Speech Characterization with Secure Multiparty Computation by Kyle Bittner et al
07-02-2020	AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis by Andac Demir et al
07-01-2020	Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI by Jin Jin et al
06-30-2020	Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression by Feng Zhou et al
06-30-2020	Conformal Prediction Intervals for Neural Networks Using Cross Validation by Saeed Khaki et al
06-30-2020	Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection by Deqiang Li et al
06-30-2020	AdaSGD: Bridging the gap between SGD and Adam by Jiaxuan Wang et al
07-03-2020	Gaussian Process Regression with Local Explanation by Yuya Yoshikawa et al
07-02-2020	Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems by Zhan Gao et al
07-03-2020	Neumann networks: differential programming for supervised learning with missing values by Marine Le Morvan et al
07-01-2020	Temporal Calibrated Regularization for Robust Noisy Label Learning by Dongxian Wu et al
07-02-2020	Structure Adaptive Algorithms for Stochastic Bandits by Rémy Degenne et al
07-02-2020	DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems by Xiang Pan et al
07-02-2020	Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model by Congcong Zhang et al
07-02-2020	Efficient estimation of the ANOVA mean dimension, with an application to neural net classification by Christopher Hoyt et al
07-01-2020	Unbiased Loss Functions for Extreme Classification With Missing Labels by Erik Schultheis et al
07-03-2020	First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion by Alexander L. Mitchell et al
07-03-2020	Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain by Takahiro Mimori et al
07-01-2020	Single Shot Structured Pruning Before Training by Joost van Amersfoort et al
07-01-2020	Tensor Estimation with Nearly Linear Samples by Christina Lee Yu
07-01-2020	Fairness constraints can help exact inference in structured prediction by Kevin Bello et al
07-02-2020	Laplacian Change Point Detection for Dynamic Graphs by Shenyang Huang et al
06-30-2020	Ultrahyperbolic Representation Learning by Marc T. Law et al
07-01-2020	Deep Neural Networks for Computational Optical Form Measurements by Lara Hoffmann et al
07-03-2020	Disentangled Graph Collaborative Filtering by Xiang Wang et al
07-02-2020	Tilted Empirical Risk Minimization by Tian Li et al
06-30-2020	Gradient Methods Never Overfit On Separable Data by Ohad Shamir
06-30-2020	Developing cooperative policies for multi-stage tasks by Jordan Erskine et al
07-01-2020	Navigating the Dynamics of Financial Embeddings over Time by Antonia Gogoglou et al
07-02-2020	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score by Zhiliang Wu et al
06-30-2020	Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation by Jyoti Narwariya et al
06-30-2020	Regularly Updated Deterministic Policy Gradient Algorithm by Shuai Han et al
07-01-2020	PrototypeML: A Neural Network Integrated Design and Development Environment by Daniel Reiss Harris
07-03-2020	Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning by Anis Elgabli et al
07-02-2020	Uncertainty Prediction for Deep Sequential Regression Using Meta Models by Jiri Navratil et al
07-02-2020	Private Optimization Without Constraint Violations by Andrés Muñoz et al
06-30-2020	Dynamic Regret of Policy Optimization in Non-stationary Environments by Yingjie Fei et al
07-01-2020	Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation by Pascal A. Schirmer et al
06-30-2020	Learning Post-Hoc Causal Explanations for Recommendation by Shuyuan Xu et al
07-02-2020	Climbing the WOL: Training for Cheaper Inference by Zichang Liu et al
06-30-2020	Semi-supervised Sequential Generative Models by Michael Teng et al
07-01-2020	Multi-Task Variational Information Bottleneck by Weizhu Qian et al
07-02-2020	BusTr: Predicting Bus Travel Times from Real-Time Traffic by Richard Barnes et al
07-03-2020	Team voyTECH: User Activity Modeling with Boosting Trees by Immanuel Bayer et al
07-03-2020	CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge by Yihao Fang et al
06-30-2020	Personalization of Hearing Aid Compression by Human-In-Loop Deep Reinforcement Learning by Nasim Alamdari et al
07-02-2020	Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis by Ghasem Pasandi et al
07-02-2020	Efficient Proximal Mapping of the 1-path-norm of Shallow Networks by Fabian Latorre et al
07-03-2020	Differentiable Causal Discovery from Interventional Data by Philippe Brouillard et al
07-02-2020	Partial Trace Regression and Low-Rank Kraus Decomposition by Hachem Kadri et al
07-01-2020	Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks by Suleiman Y. Yerima et al
06-30-2020	Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization by Rie Johnson et al
07-03-2020	Adaptive Graph Encoder for Attributed Graph Embedding by Ganqu Cui et al
07-02-2020	Spectral Methods for Ranking with Scarce Data by Umang Varma et al
07-03-2020	Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees by Muhammad Osama et al
07-02-2020	WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale by Srinivasan Iyengar et al

07-03-2020	Active learning of timed automata with unobservable resets by Léo Henry et al
07-02-2020	Addressing the interpretability problem for deep learning using many valued quantum logic by Swapnil Nitin Shah
07-01-2020	Continuous-Time Bayesian Networks with Clocks by Nicolai Engelmann et al
06-30-2020	Optimal Rates of Distributed Regression with Imperfect Kernels by Hongwei Sun et al
07-01-2020	Online Robust Regression via SGD on the l1 loss by Scott Pesme et al
07-01-2020	TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces by So Yeon Min et al
06-30-2020	Evaluation of Fairness Trade-offs in Predicting Student Success by Hansol Lee et al
07-02-2020	Towards Data-Driven Affirmative Action Policies under Uncertainty by Corinna Hertweck et al
07-01-2020	All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference by Rob Brekelmans et al
07-03-2020	Learning Utilities and Equilibria in Non-Truthful Auctions by Hu Fu et al
06-30-2020	Forced-exploration free Strategies for Unimodal Bandits by Hassan Saber et al
06-30-2020	Counterfactual Predictions under Runtime Confounding by Amanda Coston et al
07-02-2020	Consistent Structured Prediction with Max-Min Margin Markov Networks by Alex Nowak-Vila et al
06-30-2020	Training highly effective connectivities within neural networks with randomly initialized, fixed weights by Cristian Ivan et al
07-01-2020	Massive MIMO As Extreme Learning Machine by Dawei Gao et al
06-30-2020	Associations between finger tapping, gait and fall risk with application to fall risk assessment by Jian Ma
07-01-2020	Decentralised Learning with Random Features and Distributed Gradient Descent by Dominic Richards et al
06-30-2020	Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming by Hamed Hojatian et al
07-02-2020	Outlier Detection through Null Space Analysis of Neural Networks by Matthew Cook et al
06-30-2020	Towards analyzing large graphs with quantum annealing and quantum gate computers by Hannu Reittu et al
07-01-2020	Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo by Mert Gürbüzbalaban et al
07-01-2020	Regularized Online Allocation Problems: Fairness and Beyond by Santiago Balseiro et al
07-01-2020	Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers by Arthur Drichel et al
07-02-2020	Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs by Kian Ahrabian et al
07-01-2020	Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization by Pierre Leleux et al
06-30-2020	Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities by Loïc Brevault et al
07-01-2020	HydroNets: Leveraging River Structure for Hydrologic Modeling by Zach Moshe et al
06-30-2020	Regression with reject option and application to kNN by Christophe Denis et al
06-30-2020	Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits by Xinming Liu et al
06-30-2020	Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data by Francesco Tonolini et al
07-02-2020	Efficient Neural Network Deployment for Microcontroller by Hasan Unlu
07-01-2020	UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach by Harald Bayerlein et al
07-02-2020	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes by Andrew Y. K. Foong et al
07-01-2020	Interaction-limited Inverse Reinforcement Learning by Martin Troussard et al
07-03-2020	Privacy Threats Against Federated Matrix Factorization by Dashan Gao et al
07-02-2020	A Perspective on Gaussian Processes for Earth Observation by Gustau Camps-Valls et al
06-30-2020	Variable Selection via Thompson Sampling by Yi Liu et al
07-02-2020	Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture by Jinhua Liang et al
06-30-2020	Delayed Q-update: A novel credit assignment technique for deriving an optimal operation policy for the Grid-Connected Microgrid by Hyungjun Park et al
07-02-2020	Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations by Stijn de Waele
06-30-2020	Hierarchical Qualitative Clustering: clustering mixed datasets with critical qualitative information by Diogo Seca et al
07-01-2020	Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection by Aleieldin Salem et al
07-01-2020	On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent by Scott Pesme et al
06-30-2020	Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals by Shahana Ibrahim et al
07-01-2020	A Novel Higher-order Weisfeiler-Lehman Graph Convolution by Clemens Damke et al
07-03-2020	Qualitative Analysis of Monte Carlo Dropout by Ronald Seoh
07-01-2020	Belief Propagation Neural Networks by Jonathan Kuck et al
07-01-2020	The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration by Alex Goeßmann et al
07-02-2020	Efficient computation and analysis of distributional Shapley values by Yongchan Kwon et al
06-30-2020	Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries by Jay S. Stanley et al
07-01-2020	Handling Variable-Dimensional Time Series with Graph Neural Networks by Vibhor Gupta et al
07-01-2020	Fundamental Limits of Adversarial Learning by Kevin Bello et al
07-01-2020	Towards Accurate Labeling of Android Apps for Reliable Malware Detection by Aleieldin Salem
07-02-2020	Explaining predictive models with mixed features using Shapley values and conditional inference trees by Annabelle Redelmeier et al
07-01-2020	An ensemble learning framework based on group decision making by Jingyi He et al
07-02-2020	Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization by Michał Dereziński et al
07-01-2020	Data-Driven Method for Enhanced Corrosion Assessment of Reinforced Concrete Structures by Woubishet Zewdu Taffese
07-01-2020	MLPs to Find Extrema of Functionals by Tao Liu