2019.06.16 Learning papers

06-12-2019	Unsupervised Question Answering by Cloze Translation by Patrick Lewis et al
06-11-2019	Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference by Michele Covell et al
06-11-2019	Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization by Juergen Schmidhuber
06-12-2019	Compositional generalization through meta sequence-to-sequence learning by Brenden M. Lake
06-12-2019	Is Deep Learning an RG Flow? by Ellen de Mello Koch et al
06-12-2019	Search on the Replay Buffer: Bridging Planning and Reinforcement Learning by Benjamin Eysenbach et al
06-13-2019	Reweighted Expectation Maximization by Adji B. Dieng et al
06-12-2019	Fast Task Inference with Variational Intrinsic Successor Features by Steven Hansen et al
06-12-2019	Analyzing the Limitations of Cross-lingual Word Embedding Mappings by Aitor Ormazabal et al
06-13-2019	Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards by Gerrit Schoettler et al
06-11-2019	Data-Free Quantization through Weight Equalization and Bias Correction by Markus Nagel et al
06-11-2019	WikiDataSets : Standardized sub-graphs from WikiData by Armand Boschin
06-11-2019	A Focus on Neural Machine Translation for African Languages by Laura Martinus et al
06-11-2019	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks by Mahyar Fazlyab et al
06-12-2019	Efficient Exploration via State Marginal Matching by Lisa Lee et al
06-12-2019	Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification by Chia-Wen Kuo et al
06-12-2019	Does Learning Require Memorization? A Short Tale about a Long Tail by Vitaly Feldman
06-13-2019	Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models by Lasitha Piyathilaka et al
06-13-2019	Contrastive Multiview Coding by Yonglong Tian et al
06-11-2019	Position-aware Graph Neural Networks by Jiaxuan You et al
06-12-2019	Critical Point Finding with Newton-MR by Analogy to Computing Square Roots by Charles G Frye
06-12-2019	E3: Entailment-driven Extracting and Editing for Conversational Machine Reading by Victor Zhong et al
06-13-2019	Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking by Masaru Isonuma et al
06-12-2019	Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems by Ahmad Kalhor et al
06-12-2019	Jacobian Policy Optimizations by Arip Asadulaev et al
06-12-2019	Image-Adaptive GAN based Reconstruction by Shady Abu Hussein et al
06-11-2019	A Closer Look at the Optimization Landscapes of Generative Adversarial Networks by Hugo Berard et al
06-13-2019	Cognitive Knowledge Graph Reasoning for One-shot Relational Learning by Zhengxiao Du et al
06-13-2019	c+c+GAN: Complementary Fashion Item Recommendation by Sudhir Kumar et al
06-12-2019	Meta-Learning via Learned Loss by Yevgen Chebotar et al
06-12-2019	A Multiscale Visualization of Attention in the Transformer Model by Jesse Vig
06-11-2019	Deep Learning for Spatio-Temporal Data Mining: A Survey by Senzhang Wang et al
06-12-2019	GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images by Mason T. Chen et al
06-11-2019	Large Scale Structure of Neural Network Loss Landscapes by Stanislav Fort et al
06-13-2019	Robust and interpretable blind image denoising via bias-free convolutional neural networks by Sreyas Mohan et al
06-11-2019	Towards Inverse Reinforcement Learning for Limit Order Book Dynamics by Jacobo Roa-Vicens et al
06-12-2019	CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets by Riddhish Bhalodia et al
06-12-2019	Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders by Natasa Tagasovska et al
06-12-2019	Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective by Omry Cohen et al
06-11-2019	Causal Discovery with Reinforcement Learning by Shengyu Zhu et al
06-12-2019	Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism by Ryan Y. Benmalek et al
06-11-2019	Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition by Ping Hu et al
06-13-2019	A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks by Rajeev Sahay et al
06-13-2019	Contrastive Bidirectional Transformer for Temporal Representation Learning by Chen Sun et al
06-13-2019	Telephonetic: Making Neural Language Models Robust to ASR and Semantic Noise by Chris Larson et al
06-12-2019	Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization by Tom Jurgenson et al
06-13-2019	Deep Variational Networks with Exponential Weighting for Learning Computed Tomography by Valery Vishnevskiy et al
06-12-2019	Linear Distillation Learning by Arip Asadulaev et al
06-12-2019	Representation Learning for Words and Entities by Pushpendre Rastogi
06-13-2019	An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction by Elizabeth Kautz et al
06-12-2019	HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds by Xiuye Gu et al
06-12-2019	GluonTS: Probabilistic Time Series Models in Python by Alexander Alexandrov et al
06-11-2019	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks by Yi Tay et al
06-11-2019	Using Small Proxy Datasets to Accelerate Hyperparameter Search by Sam Shleifer et al
06-12-2019	When to use parametric models in reinforcement learning? by Hado van Hasselt et al
06-11-2019	Calibration, Entropy Rates, and Memory in Language Models by Mark Braverman et al
06-11-2019	Issues with post-hoc counterfactual explanations: a discussion by Thibault Laugel et al
06-12-2019	Reinforcement Learning of Spatio-Temporal Point Processes by Shixiang Zhu et al
06-13-2019	Enriching Neural Models with Targeted Features for Dementia Detection by Flavio Di Palo et al
06-12-2019	Neural Graph Evolution: Towards Efficient Automatic Robot Design by Tingwu Wang et al
06-11-2019	Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions by Suraj Tripathi et al
06-12-2019	Competing Bandits in Matching Markets by Lydia T. Liu et al
06-11-2019	Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification by Pinlong Zhaoa et al
06-12-2019	Neural Arabic Question Answering by Hussein Mozannar et al
06-12-2019	Boosting Few-Shot Visual Learning with Self-Supervision by Spyros Gidaris et al
06-11-2019	Run-Time Efficient RNN Compression for Inference on Edge Devices by Urmish Thakker et al
06-11-2019	ADASS: Adaptive Sample Selection for Training Acceleration by Shen-Yi Zhao et al
06-14-2019	Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification by Christoph Haarburger et al
06-11-2019	Multiple instance learning with graph neural networks by Ming Tu et al
06-14-2019	Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces by Guy Lorberbom et al
06-11-2019	On regularization for a convolutional kernel in neural networks by Peichang Guo et al
06-11-2019	Deep Forward-Backward SDEs for Min-max Control by Ziyi Wang et al
06-11-2019	Reinforcement Learning for Integer Programming: Learning to Cut by Yunhao Tang et al
06-12-2019	MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks by Ranganath Krishnan et al
06-12-2019	DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators by Sheng Chen et al
06-12-2019	Optimal low rank tensor recovery by Jian-Feng Cai et al
06-11-2019	Improving Reproducible Deep Learning Workflows with DeepDIVA by Michele Alberti et al
06-12-2019	Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings by Alexander I. Cowen-Rivers et al
06-11-2019	Variance-reduced QQ-learning is minimax optimal by Martin J. Wainwright
06-11-2019	Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning by Georgios Papoudakis et al
06-11-2019	Learning Symmetries of Classical Integrable Systems by Roberto Bondesan et al
06-14-2019	Towards Compact and Robust Deep Neural Networks by Vikash Sehwag et al
06-14-2019	Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses by Danilo Vasconcellos Vargas et al
06-13-2019	A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation by Steven Squires et al
06-11-2019	Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records by Edward Choi et al
06-11-2019	Deep 2FBSDEs for Systems with Control Multiplicative Noise by Ziyi Wang et al
06-12-2019	Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation by Erik Englesson et al
06-12-2019	Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian by Samet Oymak et al
06-11-2019	Power Gradient Descent by Marco Baiesi
06-11-2019	Task-Aware Deep Sampling for Feature Generation by Xin Wang et al
06-11-2019	Semi-flat minima and saddle points by embedding neural networks to overparameterization by Kenji Fukumizu et al
06-13-2019	Training Neural Networks for and by Interpolation by Leonard Berrada et al
06-12-2019	Pairwise Fairness for Ranking and Regression by Harikrishna Narasimhan et al
06-13-2019	Deep Learning Development Environment in Virtual Reality by Kevin C. VanHorn et al
06-13-2019	Sub-policy Adaptation for Hierarchical Reinforcement Learning by Alexander C. Li et al
06-12-2019	Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks by Ming Zhu et al
06-13-2019	Goal-conditioned Imitation Learning by Yiming Ding et al
06-13-2019	The Communication Complexity of Optimization by Santosh S. Vempala et al
06-11-2019	BasisConv: A method for compressed representation and learning in CNNs by Muhammad Tayyab et al
06-13-2019	Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks by Meryll Dindin et al
06-12-2019	Non-Parametric Calibration for Classification by Jonathan Wenger et al
06-12-2019	Continual and Multi-Task Architecture Search by Ramakanth Pasunuru et al
06-14-2019	Epistemic Risk-Sensitive Reinforcement Learning by Hannes Eriksson et al
06-11-2019	Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications by Sajjad Shafiei et al
06-11-2019	Understanding artificial intelligence ethics and safety by David Leslie
06-11-2019	Probabilistic Forecasting with Temporal Convolutional Neural Network by Yitian Chen et al
06-11-2019	Statistical guarantees for local graph clustering by Wooseok Ha et al
06-12-2019	Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training by William Harvey et al
06-14-2019	Support vector machines on the D-Wave quantum annealer by Dennis Willsch et al
06-11-2019	3-D Surface Segmentation Meets Conditional Random Fields by Leixin Zhou et al
06-13-2019	Deep Network Approximation Characterized by Number of Neurons by Zuowei Shen et al
06-12-2019	Neural Network Models for Stock Selection Based on Fundamental Analysis by Yuxuan Huang et al
06-13-2019	Nonlinear System Identification via Tensor Completion by Nikolaos Kargas et al
06-12-2019	Factors for the Generalisation of Identity Relations by Neural Networks by Radha Kopparti et al
06-13-2019	Deep Reinforcement Learning for Cyber Security by Thanh Thi Nguyen et al
06-12-2019	Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function by Zihan Zhang et al
06-11-2019	On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix by Alia Abbara et al
06-11-2019	Simultaneously Learning Architectures and Features of Deep Neural Networks by Tinghuai Wang et al
06-11-2019	Few-Shot Point Cloud Region Annotation with Human in the Loop by Siddhant Jain et al
06-11-2019	Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks by Ziang Yan et al
06-11-2019	Discrepancy, Coresets, and Sketches in Machine Learning by Zohar Karnin et al
06-13-2019	Learning to Forget for Meta-Learning by Sungyong Baik et al
06-12-2019	Flexible Modeling of Diversity with Strongly Log-Concave Distributions by Joshua Robinson et al
06-11-2019	On Stabilizing Generative Adversarial Training with Noise by Simon Jenni et al
06-14-2019	Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks by Ahmed T. Elthakeb et al
06-14-2019	Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks by Thomas Brunner et al
06-14-2019	Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees by Riccardo La Grassa et al
06-11-2019	Communication and Memory Efficient Testing of Discrete Distributions by Ilias Diakonikolas et al
06-11-2019	Learning robust visual representations using data augmentation invariance by Alex Hernández-García et al
06-11-2019	SPoC: Search-based Pseudocode to Code by Sumith Kulal et al
06-12-2019	Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors by Huy Ngoc Pham et al
06-11-2019	Compressive Hyperspherical Energy Minimization by Rongmei Lin et al
06-13-2019	Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks by Nicholas Geneva et al
06-13-2019	Multigrid Neural Memory by Tri Huynh et al
06-11-2019	A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression by Nicoló Savioli
06-13-2019	Curriculum Learning for Cumulative Return Maximization by Francesco Foglino et al
06-13-2019	Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation by Yu-Wei Kao et al
06-12-2019	A Model to Search for Synthesizable Molecules by John Bradshaw et al
06-13-2019	Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning by Quanying Liu et al
06-12-2019	Unified Semantic Parsing with Weak Supervision by Priyanka Agrawal et al
06-14-2019	Provably Efficient QQ-learning with Function Approximation via Distribution Shift Error Checking Oracle by Simon S. Du et al
06-11-2019	On Single Source Robustness in Deep Fusion Models by Taewan Kim et al
06-13-2019	Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training by Kwangmin Yu et al
06-13-2019	Cross-View Policy Learning for Street Navigation by Ang Li et al
06-13-2019	Recurrent Neural Processes by Timon Willi et al
06-11-2019	ProPublicas COMPAS Data Revisited by Matias Barenstein
06-13-2019	Scalable Neural Architecture Search for 3D Medical Image Segmentation by Sungwoong Kim et al
06-11-2019	Coupled Variational Recurrent Collaborative Filtering by Qingquan Song et al
06-12-2019	Parameterized Structured Pruning for Deep Neural Networks by Guenther Schindler et al
06-12-2019	Presence-Only Geographical Priors for Fine-Grained Image Classification by Oisin Mac Aodha et al
06-14-2019	Augmenting Neural Networks with First-order Logic by Tao Li et al
06-12-2019	Deep Smoothing of the Implied Volatility Surface by Damien Ackerer et al
06-13-2019	Statistical Inference for Generative Models with Maximum Mean Discrepancy by Francois-Xavier Briol et al
06-13-2019	A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR by Pengfei Chen et al
06-13-2019	Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization by Pengfei Chen et al
06-14-2019	A Signal Propagation Perspective for Pruning Neural Networks at Initialization by Namhoon Lee et al
06-12-2019	Partial Or Complete, Thats The Question by Qiang Ning et al
06-12-2019	Sorted Top-k in Rounds by Mark Braverman et al
06-12-2019	Random Tessellation Forests by Shufei Ge et al
06-11-2019	Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling by Duanshun Li et al
06-12-2019	Real-time Attention Based Look-alike Model for Recommender System by Yudan Liu et al
06-11-2019	Stability of Graph Scattering Transforms by Fernando Gama et al
06-12-2019	Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations by Xiang Yue et al
06-12-2019	DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering by Jielei Chu et al
06-12-2019	Relative Hausdorff Distance for Network Analysis by Sinan G. Aksoy et al
06-13-2019	Kernel and Deep Regimes in Overparametrized Models by Blake Woodworth et al
06-13-2019	Lower Bounds for Adversarially Robust PAC Learning by Dimitrios I. Diochnos et al
06-13-2019	Robust Regression for Safe Exploration in Control by Anqi Liu et al
06-11-2019	Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer by René Traoré et al
06-11-2019	Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks by Qingyang Wu et al
06-12-2019	Reinforcement Knowledge Graph Reasoning for Explainable Recommendation by Yikun Xian et al
06-11-2019	Extracting Interpretable Concept-Based Decision Trees from CNNs by Conner Chyung et al
06-13-2019	Divide and Conquer the Embedding Space for Metric Learning by Artsiom Sanakoyeu et al
06-13-2019	Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach by Da Sun Handason Tam et al
06-13-2019	A JIT Compiler for Neural Network Inference by Felix Thielke et al
06-13-2019	Gradient Descent Maximizes the Margin of Homogeneous Neural Networks by Kaifeng Lyu et al

06-11-2019	Modeling the Past and Future Contexts for Session-based Recommendation by Yuan Fajie et al
06-12-2019	A Structured Learning Approach to Temporal Relation Extraction by Qiang Ning et al
06-11-2019	Faster Algorithms for High-Dimensional Robust Covariance Estimation by Yu Cheng et al
06-14-2019	Adversarial Training Can Hurt Generalization by Aditi Raghunathan et al
06-13-2019	Iterative subtraction method for Feature Ranking by Paul Glaysher et al
06-11-2019	From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation by Abhay Kumar et al
06-14-2019	Efficient N-Dimensional Convolutions via Higher-Order Factorization by Jean Kossaifi et al
06-13-2019	Selective prediction-set models with coverage guarantees by Jean Feng et al
06-12-2019	Artificial Intelligence Enabled Material Behavior Prediction by Timothy Hanlon et al
06-14-2019	Global and Local Interpretability for Cardiac MRI Classification by James R. Clough et al
06-12-2019	Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs by Ryan A. Rossi et al
06-11-2019	Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance by Qiuyu Zhu et al
06-12-2019	Who Will Win It? An In-game Win Probability Model for Football by Pieter Robberechts et al
06-11-2019	Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning by Zhao Zhang et al
06-11-2019	Coresets for Gaussian Mixture Models of Any Shape by Dan Feldman et al
06-12-2019	A Stratified Approach to Robustness for Randomly Smoothed Classifiers by Guang-He Lee et al
06-12-2019	Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking by Florian Köpf et al
06-13-2019	Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models by Alessandro Davide Ialongo et al
06-12-2019	Task Agnostic Continual Learning via Meta Learning by Xu He et al
06-13-2019	Spaceland Embedding of Sparse Stochastic Graphs by Nikos Pitsianis et al
06-12-2019	Secure Federated Matrix Factorization by Di Chai et al
06-14-2019	Stochastic Proximal AUC Maximization by Yunwen Lei et al
06-13-2019	Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs) by Chanachok Chokwitthaya et al
06-14-2019	Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets by Rohith Kuditipudi et al
06-13-2019	Distributed High-dimensional Regression Under a Quantile Loss Function by Xi Chen et al
06-11-2019	Deep learning control of artificial avatars in group coordination tasks by Maria Lombardi et al
06-13-2019	A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games by Waïss Azizian et al
06-14-2019	A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning by Gonçalo M. Correia et al
06-11-2019	An Improved Analysis of Training Over-parameterized Deep Neural Networks by Difan Zou et al
06-12-2019	Tensor Canonical Correlation Analysis by You-Lin Chen et al
06-14-2019	Anomaly Detection with HMM Gauge Likelihood Analysis by Boris Lorbeer et al
06-14-2019	Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach by Yan Yang et al
06-12-2019	Decoupling Gating from Linearity by Jonathan Fiat et al
06-11-2019	Evolutionary Trigger Set Generation for DNN Black-Box Watermarking by Jia Guo et al
06-14-2019	Computing Committor Functions for the Study of Rare Events Using Deep Learning by Qianxiao Li et al
06-11-2019	A Taxonomy of Channel Pruning Signals in CNNs by Kaveena Persand et al
06-11-2019	Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network by Yuxiang Dai et al
06-14-2019	Connecting Touch and Vision via Cross-Modal Prediction by Yunzhu Li et al
06-14-2019	InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers by Zinan Lin et al
06-12-2019	Multitask Learning for Network Traffic Classification by Shahbaz Rezaei et al
06-11-2019	Communication-Efficient Accurate Statistical Estimation by Jianqing Fan et al
06-11-2019	Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding by Fabrizio Carpi et al
06-11-2019	Improving Importance Weighted Auto-Encoders with Annealed Importance Sampling by Xinqiang Ding et al
06-13-2019	Variance Estimation For Online Regression via Spectrum Thresholding by Mark Kozdoba et al
06-11-2019	Classification of Radio Signals and HF Transmission Modes with Deep Learning by Stefan Scholl
06-14-2019	Online Active Learning of Reject Option Classifiers by Kulin Shah et al
06-11-2019	Principled Training of Neural Networks with Direct Feedback Alignment by Julien Launay et al
06-14-2019	Disentangling Mixtures of Epidemics on Graphs by Jessica Hoffmann et al
06-13-2019	Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms by Dixin Luo et al
06-13-2019	A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing by Cory Merkel et al
06-12-2019	Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach by Ziheng Wang et al
06-14-2019	Variational Federated Multi-Task Learning by Luca Corinzia et al
06-12-2019	Bootstrapping Upper Confidence Bound by Botao Hao et al
06-13-2019	Deep Learning-Based Decoding of Constrained Sequence Codes by Congzhe Cao et al
06-11-2019	Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning by Nicolas Skatchkovsky et al
06-14-2019	A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization by Alexander Mey et al
06-11-2019	A refined primal-dual analysis of the implicit bias by Ziwei Ji et al
06-14-2019	Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders by Taichi Sumi et al
06-13-2019	Dense Deformation Network for High Resolution Tissue Cleared Image Registration by Abdullah Nazib et al
06-11-2019	Fast and Accurate Least-Mean-Squares Solvers by Alaa Maalouf et al
06-11-2019	Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization by Arghavan Zare-Noghabi et al
06-14-2019	Universal Barcode Detector via Semantic Segmentation by Andrey Zharkov et al
06-11-2019	Adaptive Neural Signal Detection for Massive MIMO by Mehrdad Khani et al
06-11-2019	Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance by Kimia Nadjahi et al
06-14-2019	Empirical study of extreme overfitting points of neural networks by Daniil Merkulov et al
06-13-2019	Empirical Bayes Method for Boltzmann Machines by Muneki Yasuda et al
06-11-2019	Metrics for Learning in Topological Persistence by Henri Riihimäki et al
06-13-2019	Topic Modeling via Full Dependence Mixtures by Dan Fisher et al
06-11-2019	Analysis of Optimization Algorithms via Sum-of-Squares by Sandra S. Y. Tan et al
06-12-2019	Warping Resilient Time Series Embeddings by Anish Mathew et al
06-11-2019	Temporally-Biased Sampling Schemes for Online Model Management by Brian Hentschel et al
06-14-2019	Distributed Optimization for Over-Parameterized Learning by Chi Zhang et al
06-14-2019	Towards Stable and Efficient Training of Verifiably Robust Neural Networks by Huan Zhang et al
06-14-2019	Identify treatment effect patterns for personalised decisions by Jiuyong Li et al
06-14-2019	Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting by Léo Gautheron et al
06-11-2019	Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise by Henry W. J. Reeve et al
06-11-2019	Efficient Kernel-based Subsequence Search for User Identification from Walking Activity by Candelieri Antonio et al
06-14-2019	Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking by Ziqi Yang et al
06-11-2019	Dynamical Anatomy of NARMA10 Benchmark Task by Tomoyuki Kubota et al
06-13-2019	A stochastic alternating minimizing method for sparse phase retrieval by Jianfeng Cai et al
06-11-2019	Stable Rank Normalization for Improved Generalization in Neural Networks and GANs by Amartya Sanyal et al
06-11-2019	Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables by Nikolaos Gianniotis et al
06-14-2019	Machine Learning Approach to Earthquake Rupture Dynamics by Sabber Ahamed et al
06-11-2019	Traffic signal control optimization under severe incident conditions using Genetic Algorithm by Tuo Mao et al
06-14-2019	Spectrally-truncated kernel ridge regression and its free lunch by Arash A. Amini
06-11-2019	Learning Selection Masks for Deep Neural Networks by Stefan Oehmcke et al
06-11-2019	Efficient structure learning with automatic sparsity selection for causal graph processes by Théophile Griveau-Billion et al
06-14-2019	Distributionally Robust Counterfactual Risk Minimization by Louis Faury et al
06-11-2019	Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition by Suraj Tripathi et al
06-14-2019	(1+ε)(1+ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets by Maxim Borisyak et al
06-11-2019	Macro-action Multi-timescale Dynamic Programming for Energy Management with Phase Change Materials by Zahra Rahimpour et al
06-11-2019	k-Nearest Neighbor Optimization via Randomized Hyperstructure Convex Hull by Jasper Kyle Catapang