2020.02.10 Learning papers

02-05-2020	A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing by Chengchun Shi et al
02-07-2020	Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network by Zhe Ma et al
02-06-2020	Message Passing for Query Answering over Knowledge Graphs by Daniel Daza et al
02-07-2020	Nonparametric Regression Quantum Neural Networks by Do Ngoc Diep et al
02-04-2020	Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers by Lee-Ad Gottlieb et al
02-04-2020	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks by Mihaela Dimovska et al
02-04-2020	Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network by Hyobin Kim et al
02-04-2020	Large Batch Training Does Not Need Warmup by Zhouyuan Huo et al
02-05-2020	Concept Whitening for Interpretable Image Recognition by Zhi Chen et al
02-06-2020	Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks by Ziqing Yang et al
02-05-2020	Locally-Adaptive Nonparametric Online Learning by Ilja Kuzborskij et al
02-06-2020	Product Kanerva Machines: Factorized Bayesian Memory by Adam Marblestone et al
02-07-2020	Stable Sparse Subspace Embedding for Dimensionality Reduction by Li Chen et al
02-07-2020	Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification by Meet P. Vadera et al
02-05-2020	Fast inference of Boosted Decision Trees in FPGAs for particle physics by Sioni Summers et al
02-06-2020	AI-GAN: Attack-Inspired Generation of Adversarial Examples by Tao Bai et al
02-06-2020	Relational Neural Machines by Giuseppe Marra et al
02-05-2020	A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback by Shota Yasui et al
02-05-2020	Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism by Xiaoguang Li et al
02-05-2020	No-Regret Prediction in Marginally Stable Systems by Udaya Ghai et al
02-07-2020	How to train your neural ODE by Chris Finlay et al
02-04-2020	Decoupling Learning Rates Using Empirical Bayes Priors by Sareh Nabi et al
02-05-2020	Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study by David Mickisch et al
02-05-2020	Forecasting Industrial Aging Processes with Machine Learning Methods by Mihail Bogojeski et al
02-04-2020	Learning bounded subsets of LpLp by Shahar Mendelson
02-05-2020	Multimodal fusion of imaging and genomics for lung cancer recurrence prediction by Vaishnavi Subramanian et al
02-07-2020	Ready Policy One: World Building Through Active Learning by Philip Ball et al
02-07-2020	Learning Implicit Generative Models with Theoretical Guarantees by Yuan Gao et al
02-05-2020	Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker by Pavel Gulyaev et al
02-06-2020	Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders by Shomik Jain et al
02-07-2020	On the Estimation of Information Measures of Continuous Distributions by Georg Pichler et al
02-07-2020	Input Dropout for Spatially Aligned Modalities by Sébastien de Blois et al
02-06-2020	Enhancement of shock-capturing methods via machine learning by Ben Stevens et al
02-07-2020	Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process by Idris Kharroubi et al
02-06-2020	One-Shot Bayes Opt with Probabilistic Population Based Training by Jack Parker-Holder et al
02-05-2020	Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge by Akshay Rangesh et al
02-05-2020	MAC Protocol Design Optimization Using Deep Learning by Hannaneh Barahouei Pasandi et al
02-05-2020	Truncated Hilbert Transform: Uniqueness and a Chebyshev Polynomial Expansion Approach by Jason You
02-05-2020	Finite Hilbert Transform in Weighted L2 Spaces by Jason You
02-06-2020	Using generative adversarial networks to synthesize artificial financial datasets by Dmitry Efimov et al
02-06-2020	Fair Correlation Clustering by Sara Ahmadian et al
02-04-2020	Linearly Constrained Neural Networks by Johannes Hendriks et al
02-06-2020	A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia by F. J. Martinez-Murcia et al
02-05-2020	Exploring Maximum Entropy Distributions with Evolutionary Algorithms by Raul Rojas
02-04-2020	Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI) by Aung Aung Phyo Wai et al
02-04-2020	Bootstrapping a DQN Replay Memory with Synthetic Experiences by Wenzel Baron Pilar von Pilchau et al
02-04-2020	Selfish Robustness and Equilibria in Multi-Player Bandits by Etienne Boursier et al
02-05-2020	Nested Barycentric Coordinate System as an Explicit Feature Map by Lee-Ad Gottlieb et al
02-06-2020	The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks by Xiaoliang Luo et al
02-04-2020	Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model by Kareem Darwish et al
02-05-2020	Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization by Nan Jiang et al
02-05-2020	Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems by Atreyee Kundu
02-06-2020	Intelligent Arxiv: Sort daily papers by learning users topics preference by Ezequiel Alvarez et al
02-07-2020	Provably efficient reconstruction of policy networks by Bogdan Mazoure et al
02-06-2020	LUNAR: Cellular Automata for Drifting Data Streams by Jesus L. Lobo et al
02-07-2020	Differentiable Fixed-Point Iteration Layer by Younahan Jeon et al
02-04-2020	A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching by Jae-Hyun Park et al
02-07-2020	Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training by Thomas O'Leary-Roseberry et al
02-07-2020	Low Rank Saddle Free Newton: Algorithm and Analysis by Thomas O'Leary-Roseberry et al
02-07-2020	Weakly-Supervised Disentanglement Without Compromises by Francesco Locatello et al
02-07-2020	Meta-learning framework with applications to zero-shot time-series forecasting by Boris N. Oreshkin et al
02-07-2020	Grammar Filtering For Syntax-Guided Synthesis by Kairo Morton et al
02-07-2020	Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning by Rui Liu et al
02-04-2020	GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition by Wenyang Hu et al
02-06-2020	Almost Sure Convergence of Dropout Algorithms for Neural Networks by Albert Senen-Cerda et al
02-05-2020	DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning by Di Wu et al
02-05-2020	Minimizing Dynamic Regret and Adaptive Regret Simultaneously by Lijun Zhang et al
02-05-2020	Secure Social Recommendation based on Secret Sharing by Chaochao Chen et al
02-07-2020	Subsampling Winner Algorithm for Feature Selection in Large Regression Data by Yiying Fan et al
02-07-2020	Temporal Probability Calibration by Tim Leathart et al
02-05-2020	Entropy Minimization vs. Diversity Maximization for Domain Adaptation by Xiaofu Wu et al
02-04-2020	A Deep Conditioning Treatment of Neural Networks by Naman Agarwal et al
02-04-2020	3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos by Shikha Dubey et al
02-04-2020	Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using convolutional neural networks by Prem Prakash et al
02-04-2020	Learning Task-Driven Control Policies via Information Bottlenecks by Vincent Pacelli et al
02-07-2020	The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks by Faezeh Nejati Hatamian et al
02-07-2020	Targeted display advertising: the case of preferential attachment by Saurav Manchanda et al
02-07-2020	MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing by Yu Zhang et al
02-07-2020	Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization by Li Chen et al
02-05-2020	Privacy Preserving PCA for Multiparty Modeling by Yingting Liu et al
02-06-2020	Uncovering differential equations from data with hidden variables by Agustín Somacal et al
02-05-2020	Privacy-Preserving Boosting in the Local Setting by Sen Wang et al
02-07-2020	Learning Class Regularized Features for Action Recognition by Alexandros Stergiou et al
02-04-2020	Introduction to quasi-open set semi-supervised learning for big data analytics by Emile R. Engelbrecht et al
02-07-2020	Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning by Fei Ye et al
02-05-2020	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making by Chengchun Shi et al
02-07-2020	Cant Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks by Moshe Kravchik et al
02-06-2020	From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability by Ibai Lana et al
02-05-2020	Parsing as Pretraining by David Vilares et al
02-05-2020	Limitations of weak labels for embedding and tagging by Nicolas Turpault et al
02-04-2020	Lightweight Convolutional Representations for On-Device Natural Language Processing by Shrey Desai et al
02-07-2020	The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks by Jakub Swiatkowski et al
02-07-2020	Memory Augmented Generative Adversarial Networks for Anomaly Detection by Ziyi Yang et al
02-04-2020	On the use of recurrent neural networks for predictions of turbulent flows by Luca Guastoni et al
02-06-2020	perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention by Nir Raviv et al
02-04-2020	Fine-Grained Urban Flow Inference by Kun Ouyang et al
02-07-2020	Reward-Free Exploration for Reinforcement Learning by Chi Jin et al
02-06-2020	How Good is the Bayes Posterior in Deep Neural Networks Really? by Florian Wenzel et al
02-05-2020	Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels by Brian Kim et al
02-06-2020	An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos by S. H. Shabbeer Basha et al
02-05-2020	Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors by Zhaoqiang Liu et al
02-07-2020	Revisiting Spatial Invariance with Low-Rank Local Connectivity by Gamaleldin F. Elsayed et al
02-04-2020	Minimax Defense against Gradient-based Adversarial Attacks by Blerta Lindqvist et al
02-07-2020	Causally Correct Partial Models for Reinforcement Learning by Danilo J. Rezende et al
02-04-2020	A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach by Alireza Rezazadeh
02-06-2020	Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting by Ziping Xu et al
02-04-2020	Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality by Arun Pandey et al
02-04-2020	Proper Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimisation Problem by Quan Zhou et al
02-07-2020	Geometric Dataset Distances via Optimal Transport by David Alvarez-Melis et al
02-07-2020	Inverse Learning of Symmetry Transformations by Mario Wieser et al
02-05-2020	Near-Optimal Algorithms for Minimax Optimization by Tianyi Lin et al
02-07-2020	BERT-of-Theseus: Compressing BERT by Progressive Module Replacing by Canwen Xu et al
02-06-2020	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation by Xiangnan He et al
02-07-2020	Multi-source Deep Gaussian Process Kernel Learning by Chi-Ken Lu et al
02-07-2020	Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al
02-05-2020	Proximity Preserving Binary Code using Signed Graph-Cut by Inbal Lav et al
02-07-2020	Unsupervised pretraining transfers well across languages by Morgane Rivière et al
02-04-2020	A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation by K. Darshana Abeyrathna et al
02-04-2020	Machine Learning Techniques to Detect and Characterise Whistler Radio Waves by Othniel J. E. Y. Konan et al
02-04-2020	Learning robotic ultrasound scanning using probabilistic temporal ranking by Michael Burke et al
02-06-2020	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data by Ali Mohebbi et al
02-06-2020	Robust kk-means Clustering for Distributions with Two Moments by Yegor Klochkov et al
02-06-2020	Normalizing Flows on Tori and Spheres by Danilo Jimenez Rezende et al
02-07-2020	Translating Diffusion, Wavelets, and Regularisation into Residual Networks by Tobias Alt et al
02-06-2020	Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach by Zeyue Xue et al
02-05-2020	Deep RBF Value Functions for Continuous Control by Kavosh Asadi et al
02-07-2020	LEAP System for SRE19 Challenge -- Improvements and Error Analysis by Shreyas Ramoji et al
02-06-2020	Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs by Yuma Kinoshita et al
02-06-2020	Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder by Hyungrok Ham et al
02-05-2020	A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics by Belinda Tzen et al
02-04-2020	Graph Representation Learning via Graphical Mutual Information Maximization by Zhen Peng et al
02-04-2020	Pseudo-dimension of quantum circuits by Matthias C. Caro et al
02-04-2020	Compositional Languages Emerge in a Neural Iterated Learning Model by Yi Ren et al
02-05-2020	ϵϵ-shotgun: ϵϵ-greedy Batch Bayesian Optimisation by George De Ath et al
02-04-2020	Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise by Maxim Kaledin et al
02-07-2020	Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources by Yidan Qin et al
02-06-2020	Optimal Adaptive Matrix Completion by Ilqar ramazanli et al
02-06-2020	Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent by Chung-Yi Lin et al
02-07-2020	Unsupervised non-parametric change point detection in quasi-periodic signals by Nikolay Shvetsov et al
02-07-2020	Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model by Nicolas Keriven et al
02-06-2020	Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring by Jingxiao Liu et al
02-05-2020	Knowledge Federation: Hierarchy and Unification by Hongyu Li et al
02-05-2020	Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question by Jesús Arroyo et al
02-05-2020	Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents by Ruixue Zhang et al
02-06-2020	Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications by Yun Yuan et al
02-04-2020	Visual Concept-Metaconcept Learning by Chi Han et al
02-06-2020	Bridging Ordinary-Label Learning and Complementary-Label Learning by Yasuhiro Katsura et al

02-05-2020	Faster On-Device Training Using New Federated Momentum Algorithm by Zhouyuan Huo et al
02-06-2020	Constructing a variational family for nonlinear state-space models by Jarrad Courts et al
02-06-2020	A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation by Minghong Xu et al
02-07-2020	Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study by Mathilde Hotvedt et al
02-05-2020	FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding by Guillaume Salha et al
02-05-2020	Vehicle Ego-Lane Estimation with Sensor Failure Modeling by Augusto Luis Ballardini et al
02-04-2020	Exploring Structural Inductive Biases in Emergent Communication by Agnieszka Słowik et al
02-05-2020	Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation by Yun-Zhu Song et al
02-05-2020	Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions by Ke Chen et al
02-07-2020	Data augmentation with M\obius transformations by Sharon Zhou et al
02-07-2020	Learning Autoencoders with Relational Regularization by Hongteng Xu et al
02-07-2020	Efficient Topological Layer based on Persistent Landscapes by Kwangho Kim et al
02-06-2020	Context Aware Image Annotation in Active Learning by Yingcheng Sun et al
02-05-2020	A Survey on Causal Inference by Liuyi Yao et al
02-07-2020	Accelerating Deep Learning Inference via Freezing by Adarsh Kumar et al
02-06-2020	Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization by Guy Amit et al
02-06-2020	An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models by Yao Deng et al
02-05-2020	Aligning the Pretraining and Finetuning Objectives of Language Models by Nuo Wang Pierse et al
02-04-2020	A Precise High-Dimensional Asymptotic Theory for Boosting and Min-L1-Norm Interpolated Classifiers by Tengyuan Liang et al
02-04-2020	Deep Learning Tubes for Tube MPC by David D. Fan et al
02-04-2020	ML4H Abstract Track 2019 by Matthew B. A. McDermott et al
02-04-2020	ALPINE: Active Link Prediction using Network Embedding by Xi Chen et al
02-04-2020	Iterative Data Programming for Expanding Text Classification Corpora by Neil Mallinar et al
02-05-2020	MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding by Xinyu Fu et al
02-07-2020	A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks by Roger D. Soberanis-Mukul et al
02-04-2020	Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review by Khansa Rasheed et al
02-04-2020	Deep-Learning-Enabled Simulated Annealing for Topology Optimization by Changyu Deng et al
02-05-2020	Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping by Thai Duong et al
02-06-2020	Multi Type Mean Field Reinforcement Learning by Sriram Ganapathi Subramanian et al
02-06-2020	Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network by Divinah Nyasaka et al
02-06-2020	Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation by Shuhang Chen et al
02-06-2020	Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays by Mohammad Hashir et al
02-06-2020	Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning by Lei Lei et al
02-05-2020	Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting by Xian Zhang et al
02-07-2020	Oblivious Data for Fairness with Kernels by Steffen Grünewälder et al
02-05-2020	The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent by Romina Mir et al
02-07-2020	Universal Equivariant Multilayer Perceptrons by Siamak Ravanbakhsh
02-07-2020	Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection by Qifan Song et al
02-05-2020	A Deterministic Streaming Sketch for Ridge Regression by Benwei Shi et al
02-05-2020	From Route Instructions to Landmark Graphs by Christopher M Cervantes
02-04-2020	Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces by Ryoma Sato et al
02-04-2020	DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction by Leila Saadatifard et al
02-07-2020	RAID: Randomized Adversarial-Input Detection for Neural Networks by Hasan Ferit Eniser et al
02-05-2020	Identification of Indian Languages using Ghost-VLAD pooling by Krishna D N et al
02-04-2020	Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning by Byungsoo Jeon et al
02-04-2020	Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion by Cyprien Ruffino et al
02-06-2020	Multimodal Controller for Generative Models by Enmao Diao et al
02-06-2020	The Power of Linear Controllers in LQR Control by Gautam Goel et al
02-05-2020	Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos by Byungsoo Jeon et al
02-07-2020	Activation Density driven Energy-Efficient Pruning in Training by Timothy Foldy-Porto et al
02-06-2020	Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization by Clément Bouttier et al
02-05-2020	R\{e}nyi Entropy Bounds on the Active Learning Cost-Performance Tradeoff by Vahid Jamali et al
02-04-2020	Crowdsourcing the Perception of Machine Teaching by Jonggi Hong et al
02-05-2020	I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance by Qi Yang et al
02-04-2020	Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection by Trevor J. Larsen et al
02-06-2020	Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks by Blake Bordelon et al
02-06-2020	High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks by Wei Li et al
02-07-2020	Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning by Christian Haase-Schütz et al
02-07-2020	A novel initialisation based on hospital-resident assignment for the k-modes algorithm by Henry Wilde et al
02-07-2020	DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models by Mohamed Tarek et al
02-06-2020	PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives by Sanket Tavarageri et al
02-06-2020	End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinsons Disease by Dario Zanca et al
02-04-2020	Structural Deep Clustering Network by Deyu Bo et al
02-06-2020	Automatic Inference of High-Level Network Intents by Mining Forwarding Patterns by Ali Kheradmand
02-04-2020	Exploratory Machine Learning with Unknown Unknowns by Yu-Jie Zhang et al
02-06-2020	Global Convergence of Frank Wolfe on One Hidden Layer Networks by Alexandre d'Aspremont et al
02-06-2020	Statistical Inference in Heterogeneous Block Model by Majid Noroozi et al
02-05-2020	Online Passive-Aggressive Total-Error-Rate Minimization by Se-In Jang
02-07-2020	Deep HyperNetwork-Based MIMO Detection by Mathieu Goutay et al
02-04-2020	On Positive-Unlabeled Classification in GAN by Tianyu Guo et al
02-04-2020	Machine Learning Methods for Monitoring of Quasi-Periodic Traffic in Massive IoT Networks by René Brandborg Sørensen et al
02-04-2020	BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization by Henry B. Moss et al
02-07-2020	Short sighted deep learning by Ellen de Melllo Koch et al
02-06-2020	Introducing Aspects of Creativity in Automatic Poetry Generation by Brendan Bena et al
02-06-2020	JPLink: On Linking Jobs to Vocational Interest Types by Amila Silva et al
02-07-2020	Logistic Regression Regret: Whats the Catch? by Gil I. Shamir
02-06-2020	Duality of Width and Depth of Neural Networks by Fenglei-Lei Fan et al
02-05-2020	Feature-map-level Online Adversarial Knowledge Distillation by Inseop Chung et al
02-07-2020	Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP) by Zhimin Hou et al
02-06-2020	Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach by Jiequn Han et al
02-06-2020	Bidimensional linked matrix factorization for pan-omics pan-cancer analysis by Eric F. Lock et al
02-07-2020	Machine Unlearning: Linear Filtration for Logit-based Classifiers by Thomas Baumhauer et al
02-05-2020	Supervised Learning on Relational Databases with Graph Neural Networks by Milan Cvitkovic
02-05-2020	Extracting dispersion curves from ambient noise correlations using deep learning by Xiaotian Zhang et al
02-05-2020	Wasserstein Exponential Kernels by Henri De Plaen et al
02-04-2020	Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks by Jianyuan Yu et al
02-05-2020	Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning by Rui Zhao et al
02-05-2020	Learning Probabilistic Intersection Traffic Models for Trajectory Prediction by Andrew Patterson et al
02-07-2020	A deep-learning view of chemical space designed to facilitate drug discovery by Paul Maragakis et al
02-04-2020	Revisit to the Inverse Exponential Radon Transform by Jason You
02-07-2020	On the Effectiveness of Richardson Extrapolation in Machine Learning by Francis Bach
02-04-2020	Improved Subsampled Randomized Hadamard Transform for Linear SVM by Zijian Lei et al
02-06-2020	Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow by Didrik Nielsen et al
02-06-2020	Finding Quantum Critical Points with Neural-Network Quantum States by Remmy Zen et al
02-06-2020	On the limits of cross-domain generalization in automated X-ray prediction by Joseph Paul Cohen et al
02-06-2020	Consistency of a Recurrent Language Model With Respect to Incomplete Decoding by Sean Welleck et al
02-05-2020	Few-Shot Learning as Domain Adaptation: Algorithm and Analysis by Jiechao Guan et al
02-05-2020	Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories by Toru Shimizu et al
02-05-2020	K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters by Ruize Wang et al
02-06-2020	Interpolation under latent factor regression models by Florentina Bunea et al
02-04-2020	Spatial and spectral deep attention fusion for multi-channel speech separation using deep embedding features by Cunhang Fan et al
02-06-2020	Variational Depth Search in ResNets by Javier Antorán et al