2020.02.17 Learning papers

02-15-2020	Posterior Ratio Estimation for Latent Variables by Yulong Zhang et al
02-16-2020	Active Bayesian Assessment for Black-Box Classifiers by Disi Ji et al
02-14-2020	Biological Random Walks: integrating heterogeneous data in disease gene prioritization by Michele Gentili et al
02-14-2020	Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences by Sriram Gopalakrishnan et al
02-14-2020	Higher order co-occurrence tensors for hypergraphs via face-splitting by Bryan Bischof
02-16-2020	Distributed Sketching Methods for Privacy Preserving Regression by Burak Bartan et al
02-14-2020	Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach by Mahya Mirbagheri et al
02-12-2020	Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data by Johannes A. Stork et al
02-16-2020	Entity Context and Relational Paths for Knowledge Graph Completion by Hongwei Wang et al
02-16-2020	Unifying Graph Convolutional Neural Networks and Label Propagation by Hongwei Wang et al
02-12-2020	Estimating Uncertainty Intervals from Collaborating Networks by Tianhui Zhou et al
02-12-2020	Compressive Learning of Generative Networks by Vincent Schellekens et al
02-12-2020	Regret Bounds for Noise-Free Bayesian Optimization by Sattar Vakili et al
02-13-2020	Approximability of Monotone Submodular Function Maximization under Cardinality and Matroid Constraints in the Streaming Model by Chien-Chung Huang et al
02-12-2020	HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models by Qianwen Wang et al
02-12-2020	Exponential Step Sizes for Non-Convex Optimization by Xiaoyu Li et al
02-17-2020	Adaptive Experience Selection for Policy Gradient by Saad Mohamad et al
02-12-2020	Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner by Yunlu Wang et al
02-17-2020	Learning Robust Representations via Multi-View Information Bottleneck by Marco Federici et al
02-17-2020	Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity by Simon S. Du et al
02-14-2020	Disease State Prediction From Single-Cell Data Using Graph Attention Networks by Neal G. Ravindra et al
02-13-2020	CEB Improves Model Robustness by Ian Fischer et al
02-14-2020	Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function by Masaki Kawanaka et al
02-12-2020	Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise by Fabricio Aparecido Breve et al
02-12-2020	Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images by Ying Da Wang et al
02-17-2020	Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning by Alberto Maria Metelli et al
02-16-2020	Learning to Generate Multiple Style Transfer Outputs for an Input Sentence by Kevin Lin et al
02-14-2020	Loop estimator for discounted values in Markov reward processes by Falcon Z. Dai et al
02-14-2020	Extreme Classification via Adversarial Softmax Approximation by Robert Bamler et al
02-17-2020	Hierarchical Rule Induction Network for Abstract Visual Reasoning by Sheng Hu et al
02-12-2020	Efficient active learning of sparse halfspaces with arbitrary bounded noise by Chicheng Zhang et al
02-13-2020	Training Large Neural Networks with Constant Memory using a New Execution Algorithm by Bharadwaj Pudipeddi et al
02-12-2020	Finiteness of fibers in matrix completion via Pl\ucker coordinates by Manolis C. Tsakiris
02-13-2020	Convergence of a Stochastic Gradient Method with Momentum for Nonsmooth Nonconvex Optimization by Vien V. Mai et al
02-13-2020	Identifying Audio Adversarial Examples via Anomalous Pattern Detection by Victor Akinwande et al
02-12-2020	Constructing a Highlight Classifier with an Attention Based LSTM Neural Network by Michael Kuehne et al
02-17-2020	The Synthesizability of Molecules Proposed by Generative Models by Wenhao Gao et al
02-17-2020	A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization by Deyi Liu et al
02-16-2020	Global and Local Feature Learning for Ego-Network Analysis by Fatemeh Salehi Rizi et al
02-12-2020	A General Framework to Analyze Stochastic Linear Bandit by Nima Hamidi et al
02-12-2020	Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances by Phillip Keung et al
02-15-2020	UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation by Huaishao Luo et al
02-12-2020	Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma by Mehmet Burak Sayıcı et al
02-13-2020	Back-and-Forth prediction for deep tensor compression by Hyomin Choi et al
02-13-2020	Metric-Free Individual Fairness in Online Learning by Yahav Bechavod et al
02-15-2020	Quantum Bandits by Balthazar Casalé et al
02-17-2020	Differentiable Bandit Exploration by Craig Boutilier et al
02-12-2020	Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing by Shuai Wang et al
02-17-2020	How to 0wn NAS in Your Spare Time by Sanghyun Hong et al
02-12-2020	Content Based Singing Voice Extraction From a Musical Mixture by Pritish Chandna et al
02-14-2020	The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence by Gary Marcus
02-12-2020	A Tensor Network Approach to Finite Markov Decision Processes by Edward Gillman et al
02-12-2020	The empirical duality gap of constrained statistical learning by Luiz F. O. Chamon et al
02-12-2020	Intrinsic Motivation for Encouraging Synergistic Behavior by Rohan Chitnis et al
02-13-2020	The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version by Abram Magner et al
02-12-2020	AlignNet: A Unifying Approach to Audio-Visual Alignment by Jianren Wang et al
02-12-2020	Structure-Property Maps with Kernel Principal Covariates Regression by Benjamin A. Helfrecht et al
02-12-2020	Solving Missing-Annotation Object Detection with Background Recalibration Loss by Han Zhang et al
02-13-2020	Stochastic Approximate Gradient Descent via the Langevin Algorithm by Yixuan Qiu et al
02-16-2020	Predicting event attendance exploring social influence by Fatemeh Salehi Rizi et al
02-12-2020	Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost by Shaojie Tang
02-13-2020	Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions by Shufan Wang et al
02-13-2020	Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling by Will Grathwohl et al
02-12-2020	Fully convolutional networks for structural health monitoring through multivariate time series classification by Luca Rosafalco et al
02-14-2020	Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing by Youngduck Choi et al
02-14-2020	Interleaved Sequence RNNs for Fraud Detection by Bernardo Branco et al
02-17-2020	Controlling Computation versus Quality for Neural Sequence Models by Ankur Bapna et al
02-17-2020	Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models by Chin-Wei Huang et al
02-14-2020	Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function by Lingkai Kong et al
02-16-2020	Controlled time series generation for automotive software-in-the-loop testing using GANs by Dhasarathy Parthasarathy et al
02-16-2020	REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation by Jae Myung Kim et al
02-15-2020	Hold me tight! Influence of discriminative features on deep network boundaries by Guillermo Ortiz-Jimenez et al
02-13-2020	Deep S33PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models by Christopher A. Metzler et al
02-17-2020	A Sparse Deep Factorization Machine for Efficient CTR prediction by Wei Deng et al
02-16-2020	Multi-Class Classification from Noisy-Similarity-Labeled Data by Songhua Wu et al
02-12-2020	Real or Not Real, that is the Question by Yuanbo Xiangli et al
02-16-2020	First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning by Yiming Zhang et al
02-15-2020	A closer look at the approximation capabilities of neural networks by Kai Fong Ernest Chong
02-12-2020	Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence by Sebastian Raschka et al
02-12-2020	Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles by Dylan J. Foster et al
02-16-2020	Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes by Qi Lei et al
02-16-2020	Performative Prediction by Juan C. Perdomo et al
02-16-2020	Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble by Yongming Li et al
02-14-2020	Learning models of quantum systems from experiments by Antonio A. Gentile et al
02-14-2020	The Goal-Gradient Hypothesis in Stack Overflow by Nicholas Hoernle et al
02-14-2020	Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR by Leda Sarı et al
02-12-2020	A Hierarchy of Limitations in Machine Learning by Momin M. Malik
02-13-2020	Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization by Vikas K. Garg et al
02-13-2020	Classifying the classifier: dissecting the weight space of neural networks by Gabriel Eilertsen et al
02-13-2020	An Optimal Multistage Stochastic Gradient Method for Minimax Problems by Alireza Fallah et al
02-13-2020	Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise by Umut Şimşekli et al
02-13-2020	Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE by Isaac Robinson et al
02-12-2020	Explainable Deep Modeling of Tabular Data using TableGraphNet by Gabriel Terejanu et al
02-12-2020	GLU Variants Improve Transformer by Noam Shazeer
02-13-2020	EndoL2H: Deep Super-Resolution for Capsule Endoscopy by Yasin Almalioglu et al
02-13-2020	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings by Carlo Ciliberto et al
02-17-2020	Low-Rank Bottleneck in Multi-head Attention Models by Srinadh Bhojanapalli et al
02-17-2020	Handling Missing Annotations in Supervised Learning Data by Alaa E. Abdel-Hakim et al
02-15-2020	An IoT-Based System: Big Urban Traffic Data Mining Through Airborne Pollutant Gases Analysis by Daniel. Firouzimagham et al
02-13-2020	Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems by C. B. Scott et al
02-15-2020	Multi-Task Multicriteria Hyperparameter Optimization by Kirill Akhmetzyanov et al
02-12-2020	Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization by Yan Yan et al
02-12-2020	Conditional Path Analysis in Singly-Connected Path Diagrams by Jose M. Peña
02-13-2020	Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic by Yangang Ren et al
02-17-2020	Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning by Zixin Wen
02-14-2020	Learning to rank for uplift modeling by Floris Devriendt et al
02-15-2020	HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery by Michel Deudon et al
02-17-2020	Simulating Performance of ML Systems with Offline Profiling by Hongming Huang et al
02-17-2020	Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model by Steve Kommrusch et al
02-15-2020	HybridCite: A Hybrid Model for Context-Aware Citation Recommendation by Michael Färber et al
02-14-2020	Generalization and Representational Limits of Graph Neural Networks by Vikas K. Garg et al
02-15-2020	Convex Fairness Constrained Model Using Causal Effect Estimators by Hikaru Ogura et al
02-17-2020	Learning to Prove Theorems by Learning to Generate Theorems by Mingzhe Wang et al
02-17-2020	Meta-learning Extractors for Music Source Separation by David Samuel et al
02-12-2020	Reward-rational (implicit) choice: A unifying formalism for reward learning by Hong Jun Jeon et al
02-12-2020	Quantum Boosting by Srinivasan Arunachalam et al
02-12-2020	Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models by Wangchunshu Zhou et al
02-17-2020	Residual Continual Learning by Janghyeon Lee et al
02-12-2020	Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs by Emanuele Pesce et al
02-12-2020	Image-to-Image Translation with Text Guidance by Bowen Li et al
02-13-2020	BADGR: An Autonomous Self-Supervised Learning-Based Navigation System by Gregory Kahn et al
02-13-2020	Superpixel Image Classification with Graph Attention Networks by Pedro H. C. Avelar et al
02-12-2020	Predictive Power of Nearest Neighbors Algorithm under Random Perturbation by Yue Xing et al
02-12-2020	Fully Differentiable Procedural Content Generation through Generative Playing Networks by Philip Bontrager et al
02-12-2020	Self-supervised learning for audio-visual speaker diarization by Yifan Ding et al
02-12-2020	Beyond No-Regret: Competitive Control via Online Optimization with Memory by Guanya Shi et al
02-13-2020	Sampling and Update Frequencies in Proximal Variance Reduced Stochastic Gradient Methods by Martin Morin et al
02-16-2020	Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization by Teppei Suzuki
02-13-2020	Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition by Konstantinos P. Panousis et al
02-17-2020	Citation Recommendation: Approaches and Datasets by Michael Färber et al
02-17-2020	Learning Architectures for Binary Networks by Kunal Pratap Singh et al
02-17-2020	Investigating the Compositional Structure Of Deep Neural Networks by Francesco Craighero et al
02-16-2020	Generalized Embedding Machines for Recommender Systems by Enneng Yang et al
02-17-2020	Amplifying The Uncanny by Terence Broad et al
02-14-2020	Combining Parametric Land Surface Models with Machine Learning by Craig Pelissier et al
02-14-2020	Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers by Raphaël Barman et al
02-12-2020	Topologically Densified Distributions by Christoph D. Hofer et al
02-12-2020	The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence by Terrence J. Sejnowski
02-12-2020	Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning by Sejun Park et al
02-12-2020	Detect and Correct Bias in Multi-Site Neuroimaging Datasets by Christian Wachinger et al
02-12-2020	Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods by Tianyu Zeng et al

02-12-2020	Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing by Ge Liu et al
02-12-2020	Variational Autoencoders with Riemannian Brownian Motion Priors by Dimitris Kalatzis et al
02-13-2020	PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees by Jonas Rothfuss et al
02-12-2020	Deep Multi-Task Learning via Generalized Tensor Trace Norm by Yi Zhang et al
02-12-2020	Component Analysis for Visual Question Answering Architectures by Camila Kolling et al
02-14-2020	An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset by Zhicheng Li et al
02-13-2020	An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality by Silviu Pitis et al
02-13-2020	Statistical Learning with Conditional Value at Risk by Tasuku Soma et al
02-13-2020	Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets by Gauthier Gidel et al
02-13-2020	Frequency-based Search-control in Dyna by Yangchen Pan et al
02-14-2020	Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm by Saeed Samadianfard et al
02-14-2020	Learning Functionally Decomposed Hierarchies for Continuous Control Tasks by Lukas Jendele et al
02-14-2020	RL agents Implicitly Learning Human Preferences by Nevan Wichers
02-12-2020	Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference by Youwei Song et al
02-12-2020	Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network by Pengxin Guo et al
02-12-2020	Towards Federated Learning: Robustness Analytics to Data Heterogeneity by Jia Qian et al
02-12-2020	x-vectors meet emotions: A study on dependencies between emotion and speaker recognition by Raghavendra Pappagari et al
02-13-2020	High Performance Logistic Regression for Privacy-Preserving Genome Analysis by Martine De Cock et al
02-12-2020	Active Learning for Sound Event Detection by Shuyang Zhao et al
02-14-2020	Estimating Gradients for Discrete Random Variables by Sampling without Replacement by Wouter Kool et al
02-12-2020	Online Learning of the Kalman Filter with Logarithmic Regret by Anastasios Tsiamis et al
02-12-2020	Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling by Robin Vogel et al
02-12-2020	Self-explaining AI as an alternative to interpretable AI by Daniel C. Elton
02-14-2020	Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base by William W. Cohen et al
02-12-2020	Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head by Yang Li et al
02-13-2020	Fast Reinforcement Learning for Anti-jamming Communications by Pei-Gen Ye et al
02-13-2020	Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription by Olivier Francon et al
02-16-2020	Tensor denoising and completion based on ordinal observations by Chanwoo Lee et al
02-13-2020	Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks by Yan Liu et al
02-17-2020	Subset Sampling For Progressive Neural Network Learning by Dat Thanh Tran et al
02-13-2020	Hoplite: Efficient Collective Communication for Task-Based Distributed Systems by Siyuan Zhuang et al
02-13-2020	Clustering based on Point-Set Kernel by Kai Ming Ting et al
02-16-2020	Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks by Micah Goldblum et al
02-16-2020	BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning by Yeming Wen et al
02-12-2020	A Zero-Shot based Fingerprint Presentation Attack Detection System by Haozhe Liu et al
02-14-2020	Convolutional Neural Networks for Sentiment Analysis in Persian Social Media by Morteza Rohanian et al
02-16-2020	Learning Not to Learn in the Presence of Noisy Labels by Liu Ziyin et al
02-14-2020	Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation by Sunwoo Kim et al
02-14-2020	Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models by Silin Gao et al
02-13-2020	Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges by Triet H. M. Le et al
02-14-2020	Small energy masking for improved neural network training for end-to-end speech recognition by Chanwoo Kim et al
02-15-2020	MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC) by Chiranjib Sur
02-16-2020	Learning Individually Fair Classifier with Causal-Effect Constraint by Yoichi Chikahara et al
02-14-2020	Legion: Best-First Concolic Testing by Dongge Liu et al
02-16-2020	(Individual) Fairness for kk-Clustering by Sepideh Mahabadi et al
02-12-2020	Resolving Spurious Correlations in Causal Models of Environments via Interventions by Sergei Volodin et al
02-12-2020	Efficient Policy Learning from Surrogate-Loss Classification Reductions by Andrew Bennett et al
02-12-2020	Learnable Bernoulli Dropout for Bayesian Deep Learning by Shahin Boluki et al
02-12-2020	Graph Similarity Using PageRank and Persistent Homology by Mustafa Hajij et al
02-13-2020	Harvesting Ambient RF for Presence Detection Through Deep Learning by Yang Liu et al
02-13-2020	A Unifying Network Architecture for Semi-Structured Deep Distributional Learning by David Rügamer et al
02-13-2020	End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation by Essam A. Rashed et al
02-13-2020	MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization by Hong Wu et al
02-13-2020	Gradient tracking and variance reduction for decentralized optimization and machine learning by Ran Xin et al
02-13-2020	The Conditional Entropy Bottleneck by Ian Fischer
02-13-2020	Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis by Jung Yeon Park et al
02-13-2020	Fast Convergence for Langevin Diffusion with Matrix Manifold Structure by Ankur Moitra et al
02-13-2020	DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins by Stelios K. Mylonas et al
02-16-2020	Distributed Averaging Methods for Randomized Second Order Optimization by Burak Bartan et al
02-14-2020	Top-K Training of GANs: Improving Generators by Making Critics Less Critical by Samarth Sinha et al
02-13-2020	Graph Deconvolutional Generation by Daniel Flam-Shepherd et al
02-17-2020	Causal Feature Discovery through Strategic Modification by Yahav Bechavod et al
02-13-2020	PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation by Kancharagunta Kishan Babu et al
02-17-2020	4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model by Samaneh Abbasi-Sureshjani et al
02-17-2020	Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification by Ryan Feng et al
02-16-2020	Coresets for the Nearest-Neighbor Rule by Alejandro Flores Velazco et al
02-14-2020	A Data Efficient End-To-End Spoken Language Understanding Architecture by Marco Dinarelli et al
02-13-2020	Regularizing activations in neural networks via distribution matching with the Wasserstein metric by Taejong Joo et al
02-15-2020	Attentive Item2Vec: Neural Attentive User Representations by Oren Barkan et al
02-14-2020	Fast Fair Regression via Efficient Approximations of Mutual Information by Daniel Steinberg et al
02-13-2020	Extended Target Tracking and Classification Using Neural Networks by Barkın Tuncer et al
02-16-2020	Speech-to-Singing Conversion in an Encoder-Decoder Framework by Jayneel Parekh et al
02-16-2020	Pipeline Interventions by Eshwar Ram Arunachaleswaran et al
02-12-2020	Real-Time Semantic Background Subtraction by Anthony Cioppa et al
02-12-2020	dtControl: Decision Tree Learning Algorithms for Controller Representation by Pranav Ashok et al
02-15-2020	Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach by Yaoshu Wang et al
02-15-2020	Federated Learning with Matched Averaging by Hongyi Wang et al
02-14-2020	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics by Parameswaran Kamalaruban et al
02-13-2020	Multiple Metric Learning for Structured Data by Nicolo Colombo
02-12-2020	HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks by Sajad Mousavi et al
02-14-2020	Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets by Dongxian Wu et al
02-13-2020	Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition by Shi Hu et al
02-14-2020	Adversarial Distributional Training for Robust Deep Learning by Zhijie Deng et al
02-17-2020	Class-Imbalanced Semi-Supervised Learning by Minsung Hyun et al
02-17-2020	On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples by Pamela K. Douglas et al
02-16-2020	Fair Principal Component Analysis and Filter Design by Gad Zalcberg et al
02-15-2020	Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks by Shindong Lee et al
02-14-2020	Ensemble Slice Sampling by Minas Karamanis et al
02-14-2020	Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning by Navid Naderializadeh et al
02-14-2020	Deep learning of dynamical attractors from time series measurements by William Gilpin
02-17-2020	Data and Model Dependencies of Membership Inference Attack by Shakila Mahjabin Tonni et al
02-12-2020	Sparse Recovery With Non-Linear Fourier Features by Ayca Ozcelikkale
02-16-2020	Multiple Flat Projections for Cross-manifold Clustering by Lan Bai et al
02-13-2020	Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning by Arnab Bhattacharyya et al
02-16-2020	Structures of Spurious Local Minima in kk-means by Wei Qian et al
02-14-2020	Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows by Kashif Rasul et al
02-14-2020	Analyzing Differentiable Fuzzy Logic Operators by Emile van Krieken et al
02-14-2020	Optimal Pricing of Internet of Things: A Machine Learning Approach by Mohammad Abu Alsheikh et al
02-14-2020	FQuAD: French Question Answering Dataset by Martin d'Hoffschmidt et al
02-14-2020	ARMS: Automated rules management system for fraud detection by David Aparício et al
02-14-2020	Zero-Resource Cross-Domain Named Entity Recognition by Zihan Liu et al
02-13-2020	Multi-objective Ranking via Constrained Optimization by Michinari Momma et al
02-13-2020	Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization by Samuel Horváth et al
02-13-2020	Hypergraph Optimization for Multi-structural Geometric Model Fitting by Shuyuan Lin et al
02-12-2020	Connecting Dualities and Machine Learning by Philip Betzler et al
02-12-2020	Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies by Giulia Zarpellon et al
02-12-2020	Convex Density Constraints for Computing Plausible Counterfactual Explanations by André Artelt et al
02-13-2020	XCS Classifier System with Experience Replay by Anthony Stein et al
02-17-2020	CAT: Customized Adversarial Training for Improved Robustness by Minhao Cheng et al
02-14-2020	Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings by Hongyu Ren et al
02-12-2020	Improving automated segmentation of radio shows with audio embeddings by Oberon Berlage et al
02-14-2020	Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective by Kaixuan Huang et al
02-17-2020	Scalable Quantitative Verification For Deep Neural Networks by Teodora Baluta et al
02-17-2020	Large-scale biometry with interpretable neural network regression on UK Biobank body MRI by Taro Langner et al
02-15-2020	On Coresets for Support Vector Machines by Murad Tukan et al
02-17-2020	t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections by Angelos Chatzimparmpas et al
02-17-2020	Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank by Max Berrendorf et al
02-16-2020	Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality by Yi Zhang et al
02-15-2020	Convex Optimization on Functionals of Probability Densities by Tomohiro Nishiyama
02-15-2020	Learning Adaptive Loss for Robust Learning with Noisy Labels by Jun Shu et al
02-14-2020	Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning by Borja G. León et al
02-14-2020	Building Networks for Image Segmentation using Particle Competition and Cooperation by Fabricio Breve
02-12-2020	Exploiting the Matching Information in the Support Set for Few Shot Event Classification by Viet Dac Lai et al
02-12-2020	NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework by Mohammad Saeed Abrishami et al
02-12-2020	Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization by Meng Li et al
02-16-2020	Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework by Chiranjib Sur
02-16-2020	Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data by Charles H. Martin et al
02-13-2020	The PHOTON Wizard -- Towards Educational Machine Learning Code Generators by Ramona Leenings et al
02-15-2020	Latent Variable Modelling with Hyperbolic Normalizing Flows by Avishek Joey Bose et al
02-15-2020	Manifold-based Test Generation for Image Classifiers by Taejoon Byun et al
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