2019.05.26 Learning papers

05-22-2019	Data-Efficient Image Recognition with Contrastive Predictive Coding by Olivier J. Hénaff et al
05-23-2019	Revisiting Graph Neural Networks: All We Have is Low-Pass Filters by Hoang NT et al
05-21-2019	Parallel Neural Text-to-Speech by Kainan Peng et al
05-23-2019	Training language GANs from Scratch by Cyprien de Masson d'Autume et al
05-22-2019	FastSpeech: Fast, Robust and Controllable Text to Speech by Yi Ren et al
05-22-2019	Automated shapeshifting for function recovery in damaged robots by Sam Kriegman et al
05-23-2019	Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit by Belinda Tzen et al
05-21-2019	Learning to Prove Theorems via Interacting with Proof Assistants by Kaiyu Yang et al
05-21-2019	Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search by Youhei Akimoto et al
05-23-2019	Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data by Ryo Yonetani et al
05-22-2019	COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration by Nicholas Watters et al
05-23-2019	Leveraging Uncertainty in Deep Learning for Selective Classification by Mehmet Yigit Yildirim et al
05-21-2019	Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks by Namyong Park et al
05-21-2019	CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks by Roberto Dessì et al
05-23-2019	Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning by Niels Hellinga et al
05-21-2019	Joint embedding of structure and features via graph convolutional networks by Sébastien Lerique et al
05-21-2019	Textured Neural Avatars by Aliaksandra Shysheya et al
05-22-2019	Cognitive Model Priors for Predicting Human Decisions by David D. Bourgin et al
05-21-2019	Revisiting hard thresholding for DNN pruning by Konstantinos Pitas et al
05-23-2019	Estimating Risk and Uncertainty in Deep Reinforcement Learning by William R. Clements et al
05-22-2019	Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence by Yanwei Fu et al
05-22-2019	Generative Imputation and Stochastic Prediction by Mohammad Kachuee et al
05-23-2019	Misspelling Oblivious Word Embeddings by Bora Edizel et al
05-23-2019	Augmenting correlation structures in spatial data using deep generative models by Konstantin Klemmer et al
05-23-2019	Recurrent Value Functions by Pierre Thodoroff et al
05-22-2019	The Journey is the Reward: Unsupervised Learning of Influential Trajectories by Jonathan Binas et al
05-22-2019	MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling by Jianyu Wang et al
05-22-2019	Kernel Wasserstein Distance by Jung Hun Oh et al
05-22-2019	Causal Discovery with Cascade Nonlinear Additive Noise Models by Ruichu Cai et al
05-23-2019	Interpreting Adversarially Trained Convolutional Neural Networks by Tianyuan Zhang et al
05-21-2019	Maximum Entropy-Regularized Multi-Goal Reinforcement Learning by Rui Zhao et al
05-23-2019	The Convolutional Tsetlin Machine by Ole-Christoffer Granmo et al
05-21-2019	Exploring Bias in GAN-based Data Augmentation for Small Samples by Mengxiao Hu et al
05-22-2019	Learning Discrete and Continuous Factors of Data via Alternating Disentanglement by Yeonwoo Jeong et al
05-23-2019	Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring by Stephan A. Fahrenkrog-Petersen et al
05-22-2019	A framework for the extraction of Deep Neural Networks by leveraging public data by Soham Pal et al
05-21-2019	Stochastic Inverse Reinforcement Learning by Ce Ju et al
05-21-2019	ALEX: An Updatable Adaptive Learned Index by Jialin Ding et al
05-22-2019	Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network by Biyi Fang et al
05-23-2019	Distributional Policy Optimization: An Alternative Approach for Continuous Control by Chen Tessler et al
05-21-2019	Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization by Homa Hosseinmardi et al
05-23-2019	Detecting Malicious PowerShell Scripts Using Contextual Embeddings by Amir Rubin et al
05-22-2019	Simplified Neural Unsupervised Domain Adaptation by Timothy A Miller
05-22-2019	Imitation Learning from Video by Leveraging Proprioception by Faraz Torabi et al
05-23-2019	Replicated Vector Approximate Message Passing For Resampling Problem by Takashi Takahashi et al
05-21-2019	Evolving neural networks to follow trajectories of arbitrary complexity by Benjamin Inden et al
05-23-2019	A Direct Approach to Robust Deep Learning Using Adversarial Networks by Huaxia Wang et al
05-23-2019	Adversarially Robust Distillation by Micah Goldblum et al
05-22-2019	Spatial Sampling Network for Fast Scene Understanding by Davide Mazzini et al
05-24-2019	Sliced Gromov-Wasserstein by Titouan Vayer et al
05-21-2019	Explainable Machine Learning for Scientific Insights and Discoveries by Ribana Roscher et al
05-22-2019	Fine-grained Optimization of Deep Neural Networks by Mete Ozay
05-21-2019	Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation by Moses Charikar et al
05-21-2019	Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors by Pavel Gurevich et al
05-22-2019	On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces by Satoshi Hayakawa et al
05-22-2019	FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction by Tongwen Huang et al
05-21-2019	Geometry of Deep Convolutional Networks by Stefan Carlsson
05-23-2019	Graph regret bounds for Thompson Sampling and UCB by Thodoris Lykouris et al
05-23-2019	MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions by Nuo Xu et al
05-21-2019	Heavy Hitters and Bernoulli Convolutions by Alexander Kushkuley
05-21-2019	Joint Information Preservation for Heterogeneous Domain Adaptation by Peng Xu et al
05-23-2019	Graph Representations for Higher-Order Logic and Theorem Proving by Aditya Paliwal et al
05-23-2019	Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs by Bryan Lim et al
05-23-2019	Inverse Reinforcement Learning in Contextual MDPs by Philip Korsunsky et al
05-23-2019	Copy this Sentence by Vasileios Lioutas et al
05-21-2019	Time-Smoothed Gradients for Online Forecasting by Tianhao Zhu et al
05-21-2019	Recurring Concept Meta-learning for Evolving Data Streams by Robert Anderson et al
05-22-2019	From web crawled text to project descriptions: automatic summarizing of social innovation projects by Nikola Milosevic et al
05-21-2019	DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks by Zirui Xu et al
05-23-2019	How degenerate is the parametrization of neural networks with the ReLU activation function? by Julius Berner et al
05-23-2019	Zero-shot Knowledge Transfer via Adversarial Belief Matching by Paul Micaelli et al
05-21-2019	Lightweight Network Architecture for Real-Time Action Recognition by Alexander Kozlov et al
05-21-2019	Hierarchical Reinforcement Learning for Quadruped Locomotion by Deepali Jain et al
05-22-2019	Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting by Arvind Prasadan et al
05-21-2019	Neighborhood Enlargement in Graph Neural Networks by Xinhan Di et al
05-22-2019	Blind identification of stochastic block models from dynamical observations by Michael T. Schaub et al
05-23-2019	Binary Classification with Bounded Abstention Rate by Shubhanshu Shekhar et al
05-23-2019	Tucker Decomposition Network: Expressive Power and Comparison by Ye Liu et al
05-23-2019	An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese by Enkhbold Bataa et al
05-24-2019	Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar by Iddo Drori et al
05-23-2019	Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment by Jivitesh Sharma et al
05-21-2019	Acoustic-to-Word Models with Conversational Context Information by Suyoun Kim et al
05-22-2019	LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks by Babak Namazi et al
05-24-2019	Privacy Risks of Securing Machine Learning Models against Adversarial Examples by Liwei Song et al
05-21-2019	The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development by Micah J. Smith et al
05-24-2019	SCRAM: Spatially Coherent Randomized Attention Maps by Dan A. Calian et al
05-23-2019	Gravity-Inspired Graph Autoencoders for Directed Link Prediction by Guillaume Salha et al
05-21-2019	Compression with Flows via Local Bits-Back Coding by Jonathan Ho et al
05-21-2019	Survival Function Matching for Calibrated Time-to-Event Predictions by Paidamoyo Chapfuwa et al
05-24-2019	Learning to learn by Self-Critique by Antreas Antoniou et al
05-24-2019	The advantages of multiple classes for reducing overfitting from test set reuse by Vitaly Feldman et al
05-23-2019	Interpreting a Recurrent Neural Network Model for ICU Mortality Using Learned Binary Masks by Long V. Ho et al
05-23-2019	From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use by Manfred Eppe et al
05-22-2019	Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network by Oscar Chang et al
05-22-2019	Learning Robust Options by Conditional Value at Risk Optimization by Takuya Hiraoka et al
05-24-2019	STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting by Lei Bai et al
05-24-2019	Adaptive Symmetric Reward Noising for Reinforcement Learning by Refael Vivanti et al
05-21-2019	The Geometry of Deep Networks: Power Diagram Subdivision by Randall Balestriero et al
05-22-2019	Optimal Decision Making Under Strategic Behavior by Moein Khajehnejad et al
05-22-2019	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs by Francois Belletti et al
05-22-2019	Multi-agent Attentional Activity Recognition by Kaixuan Chen et al
05-24-2019	Continual Reinforcement Learning in 3D Non-stationary Environments by Vincenzo Lomonaco et al
05-24-2019	Training decision trees as replacement for convolution layers by Wolfgang Fuhl et al
05-24-2019	From Here to There: Video Inbetweening Using Direct 3D Convolutions by Yunpeng Li et al
05-24-2019	What Can ResNet Learn Efficiently, Going Beyond Kernels? by Zeyuan Allen-Zhu et al
05-23-2019	Non-monotone DR-submodular Maximization: Approximation and Regret Guarantees by Christoph Dürr et al
05-23-2019	Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers by Pawel Trajdos et al
05-21-2019	Automatic discrete differentiation and its applications by Ai Ishikawa et al
05-23-2019	Combine PPO with NES to Improve Exploration by Lianjiang Li et al

05-23-2019	Deep density ratio estimation for change point detection by Haidar Khan et al
05-23-2019	Thwarting finite difference adversarial attacks with output randomization by Haidar Khan et al
05-23-2019	SelectNet: Learning to Sample from the Wild for Imbalanced Data Training by Yunru Liu et al
05-22-2019	Deep Reinforcement Learning for Detecting Malicious Websites by Moitrayee Chatterjee et al
05-21-2019	Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria by Jiapeng Liu et al
05-22-2019	Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection by Jonathan Aigrain et al
05-23-2019	Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning by Yucheng Zhang et al
05-23-2019	Scale Invariant Power Iteration by Cheolmin Kim et al
05-21-2019	Factorised Neural Relational Inference for Multi-Interaction Systems by Ezra Webb et al
05-24-2019	Optimizing Shallow Networks for Binary Classification by Kalliopi Basioti et al
05-23-2019	PHom-GeM: Persistent Homology for Generative Models by Jeremy Charlier et al
05-23-2019	Combination of linear classifiers using score function -- analysis of possible combination strategies by Pawel Trajdos et al
05-24-2019	Exploration via Flow-Based Intrinsic Rewards by Hsuan-Kung Yang et al
05-24-2019	Guided Stereo Matching by Matteo Poggi et al
05-23-2019	Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies by Domingo Esteban et al
05-22-2019	Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder by Ji Feng et al
05-23-2019	Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces by Chen Tessler et al
05-23-2019	Average reward reinforcement learning with unknown mixing times by Tom Zahavy et al
05-21-2019	PDH : Probabilistic deep hashing based on MAP estimation of Hamming distance by Yosuke Kaga et al
05-21-2019	Domain adaptation for part-of-speech tagging of noisy user-generated text by Luisa März et al
05-21-2019	Adaptive Model Selection Framework: An Application to Airline Pricing by Naman Shukla et al
05-21-2019	IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election by Indu Manickam et al
05-24-2019	Neural Temporal-Difference Learning Converges to Global Optima by Qi Cai et al
05-23-2019	Some limitations of norm based generalization bounds in deep neural networks by Konstantinos Pitas et al
05-23-2019	Bayesian Optimization over Sets by Jungtaek Kim et al
05-21-2019	Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders by Avi Caciularu et al
05-23-2019	DEEP-BO for Hyperparameter Optimization of Deep Networks by Hyunghun Cho et al
05-21-2019	Equilibrium Characterization for Data Acquisition Games by Jinshuo Dong et al
05-21-2019	Enhancing Domain Word Embedding via Latent Semantic Imputation by Shibo Yao et al
05-24-2019	Doctor of Crosswise: Reducing Over-parametrization in Neural Networks by J. D. Curtó et al
05-21-2019	A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation by Wei Jiang et al
05-23-2019	Naive Feature Selection: Sparsity in Naive Bayes by Armin Askari et al
05-23-2019	Robust guarantees for learning an autoregressive filter by Holden Lee et al
05-21-2019	A realistic and robust model for Chinese word segmentation by Chu-Ren Huang et al
05-21-2019	The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics by Kyle Buchheit et al
05-23-2019	Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning by Shuai Zheng et al
05-24-2019	Uncertainty Estimation in One-Stage Object Detection by Florian Kraus et al
05-21-2019	A Scalable Hybrid Research Paper Recommender System for Microsoft Academic by Anshul Kanakia et al
05-22-2019	Outlier Robust Extreme Learning Machine for Multi-Target Regression by Bruno Légora Souza da Silva et al
05-24-2019	Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks by Se Jung Kwon et al
05-22-2019	MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders by Kumar Yashashwi et al
05-22-2019	AI-CARGO: A Data-Driven Air-Cargo Revenue Management System by Stefano Giovanni Rizzo et al
05-22-2019	Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection by Konstantinos Nikolaidis et al
05-21-2019	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures by Xiaoting Shao et al
05-23-2019	Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation by Théo Galy-Fajou et al
05-22-2019	Improved EEG Classification by factoring in sensor topography by Lubna Shibly Mokatren et al
05-23-2019	CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation by Jiawei Ma et al
05-21-2019	Deep Signatures by Patric Bonnier et al
05-21-2019	Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI) by Elisa Ferrari et al
05-21-2019	Spatially Constrained Spectral Clustering Algorithms for Region Delineation by Shuai Yuan et al
05-24-2019	Curriculum Loss: Robust Learning and Generalization against Label Corruption by Yueming Lyu et al
05-24-2019	Efficient Batch Black-box Optimization with Deterministic Regret Bounds by Yueming Lyu et al
05-21-2019	Geometric Estimation of Multivariate Dependency by Salimeh Yasaei Sekeh et al
05-22-2019	Simulation and Augmentation of Social Networks for Building Deep Learning Models by Akanda Wahid -Ul- Ashraf et al
05-22-2019	An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule by Touqir Sajed et al
05-24-2019	Loss Surface Modality of Feed-Forward Neural Network Architectures by Anna Sergeevna Bosman et al
05-23-2019	Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective by Changjian Li et al
05-23-2019	Robust Attribution Regularization by Jiefeng Chen et al
05-22-2019	End-to-End Learned Random Walker for Seeded Image Segmentation by Lorenzo Cerrone et al
05-23-2019	New methods for SVM feature selection by Tangui Aladjidi et al
05-23-2019	Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories by Chaoyun Zhang et al
05-24-2019	Learning Cross-Domain Representation with Multi-Graph Neural Network by Yi Ouyang et al
05-24-2019	An Explicitly Relational Neural Network Architecture by Murray Shanahan et al
05-23-2019	CASS: Cross Adversarial Source Separation via Autoencoder by Yong Zheng Ong et al
05-22-2019	Distributionally Robust Formulation and Model Selection for the Graphical Lasso by Pedro Cisneros-Velarde et al
05-24-2019	Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks by Gaël Letarte et al
05-21-2019	Learning Conserved Networks from Flows by Satya Jayadev P. et al
05-23-2019	Neural ODEs with stochastic vector field mixtures by Niall Twomey et al
05-24-2019	On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks by Bing Yu et al
05-24-2019	Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion by Andreas Pfeuffer et al
05-23-2019	Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport by Wenshuo Guo et al
05-21-2019	Universal Approximation with Deep Narrow Networks by Patrick Kidger et al
05-23-2019	Multi-relational Poincar\e Graph Embeddings by Ivana Balažević et al
05-22-2019	Multi-Task Kernel Null-Space for One-Class Classification by Shervin Rahimzadeh Arashloo et al
05-23-2019	Disentangling Redundancy for Multi-Task Pruning by Xiaoxi He et al
05-23-2019	Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning by Yongxi Lu et al
05-23-2019	Deep-gKnock: nonlinear group-feature selection with deep neural network by Guangyu Zhu et al
05-23-2019	forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction by Yunchuan Kong et al
05-23-2019	Fully Neural Network based Model for General Temporal Point Processes by Takahiro Omi et al
05-21-2019	Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems by Ohsung Kwon et al
05-23-2019	Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay by Frederic Koehler
05-23-2019	Accelerating DNN Training in Wireless Federated Edge Learning System by Jinke Ren et al
05-24-2019	Learning Low-Rank Approximation for CNNs by Dongsoo Lee et al
05-24-2019	X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations by Alberto Marchisio et al
05-22-2019	Thresholding Graph Bandits with GrAPL by Daniel LeJeune et al
05-22-2019	Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training by Leonard Adolphs et al
05-23-2019	Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints by Andretti Naiden et al
05-24-2019	Perturbed Model Validation: A New Framework to Validate Model Relevance by Jie M. Zhang et al
05-22-2019	Convergence and Margin of Adversarial Training on Separable Data by Zachary Charles et al
05-23-2019	Meta-GNN: On Few-shot Node Classification in Graph Meta-learning by Fan Zhou et al
05-22-2019	LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning by Jingjing Zhang et al
05-24-2019	Deep Model Predictive Control with Online Learning for Complex Physical Systems by Katharina Bieker et al
05-23-2019	Computationally Efficient Feature Significance and Importance for Machine Learning Models by Enguerrand Horel et al
05-24-2019	Approximation Ratios of Graph Neural Networks for Combinatorial Problems by Ryoma Sato et al
05-23-2019	Glioma Grade Predictions using Scattering Wavelet Transform-Based Radiomics by Qijian Chen et al
05-23-2019	Learning spectrograms with convolutional spectral kernels by Zheyang Shen et al
05-24-2019	Memorized Sparse Backpropagation by Zhiyuan Zhang et al
05-23-2019	Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach by Zhenyu Shou et al
05-22-2019	Learning Networked Exponential Families with Network Lasso by Alexander Jung
05-23-2019	MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies by Xue Bin Peng et al
05-24-2019	HDI-Forest: Highest Density Interval Regression Forest by Lin Zhu et al
05-24-2019	Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification by Xin Huang et al
05-23-2019	Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation by Yingjing Lu et al
05-24-2019	Generative adversarial network based on chaotic time series by Makoto Naruse et al
05-23-2019	Refined Generalization Analysis of Gradient Descent for Over-parameterized Two-layer Neural Networks with Smooth Activations on Classification Problems by Atsushi Nitanda et al
05-21-2019	Sampling from Stochastic Finite Automata with Applications to CTC Decoding by Martin Jansche et al
05-23-2019	A COLD Approach to Generating Optimal Samples by Omar Mahmood et al
05-23-2019	Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates by Sharan Vaswani et al
05-24-2019	A Practical Framework for Solving Center-Based Clustering with Outliers by Hu Ding et al
05-22-2019	Evaluating recommender systems for AI-driven data science by William La Cava et al
05-24-2019	Statistical embedding for directed graphs by Thorben Funke et al
05-23-2019	Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms by Diego Ihara et al
05-24-2019	Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments by Vasilis Syrgkanis et al
05-23-2019	A Bulirsch-Stoer algorithm using Gaussian processes by Philip G. Breen et al
05-24-2019	Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks by Yaoyu Zhang et al
05-24-2019	Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information by Bo Kang et al
05-24-2019	Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks by Dominik Alfke et al
05-21-2019	Identification of synoptic weather types over Taiwan area with multiple classifiers by Shih-Hao Su et al
05-24-2019	Likelihood-Free Inference and Generation of Molecular Graphs by Sebastian Pölsterl et al
05-24-2019	mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation by Dayiheng Liu et al
05-24-2019	Neuro-Optimization: Learning Objective Functions Using Neural Networks by Younghan Jeon et al
05-23-2019	Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property by Xingyu Xv et al
05-23-2019	Generative Grading: Neural Approximate Parsing for Automated Student Feedback by Ali Malik et al
05-21-2019	A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk by Sebastiano Barbieri et al
05-24-2019	Learning Surrogate Losses by Josif Grabocka et al
05-23-2019	Learning the Representations of Moist Convection with Convolutional Neural Networks by Shih-Wen Tsou et al
05-24-2019	Polystore++: Accelerated Polystore System for Heterogeneous Workloads by Rekha Singhal et al
05-21-2019	Exploring the effects of Lx-norm penalty terms in multivariate curve resolution methods for resolving LC/GC-MS data by Ahmad Mani-Varnosfaderani et al
05-21-2019	Performance Analysis of Deep Learning Workloads on Leading-edge Systems by Yihui Ren et al
05-23-2019	Generative training of quantum Boltzmann machines with hidden units by Nathan Wiebe et al
05-22-2019	Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems by Tiffany Tuor et al
05-21-2019	Limitations of routing-by-agreement based capsule networks by David Peer et al
05-24-2019	Discrete Flows: Invertible Generative Models of Discrete Data by Dustin Tran et al
05-23-2019	Embedded Meta-Learning: Toward more flexible deep-learning models by Andrew K. Lampinen et al
05-24-2019	Partially Encrypted Machine Learning using Functional Encryption by Theo Ryffel et al
05-23-2019	Accelerating Langevin Sampling with Birth-death by Yulong Lu et al
05-23-2019	Momentum-Based Variance Reduction in Non-Convex SGD by Ashok Cutkosky et al
05-24-2019	Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering by Ming Jin et al
05-24-2019	Federated Forest by Yang Liu et al
05-24-2019	Semi-Parametric Efficient Policy Learning with Continuous Actions by Mert Demirer et al
05-21-2019	A Universal Approximation Result for Difference of log-sum-exp Neural Networks by Giuseppe C. Calafiore et al
05-23-2019	Hypothesis Testing Interpretations and Renyi Differential Privacy by Borja Balle et al
05-22-2019	Effect of shapes of activation functions on predictability in the echo state network by Hanten Chang et al
05-23-2019	PAC Guarantees for Concurrent Reinforcement Learning with Restricted Communication by Or Raveh et al
05-21-2019	Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem by Udari Madhushani et al
05-24-2019	Convergence Guarantees for Adaptive Bayesian Quadrature Methods by Motonobu Kanagawa et al
05-24-2019	Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections by Boris Muzellec et al
05-24-2019	Disentangled Feature for Weakly Supervised Multi-class Sound Event Detection by Liwei Lin et al
05-23-2019	On Pruning for Score-Based Bayesian Network Structure Learning by Alvaro H. C. Correia et al
05-23-2019	Geometric Laplacian Eigenmap Embedding by Leo Torres et al
05-23-2019	On Recurrent Neural Networks for Sequence-based Processing in Communications by Daniel Tandler et al
05-23-2019	Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems by Adel Abusitta et al
05-24-2019	Dirac Delta Regression: Conditional Density Estimation with Clinical Trials by Eric V. Strobl et al
05-24-2019	Tiresias: Predicting Security Events Through Deep Learning by Yun Shen et al
05-24-2019	Polynomial Cost of Adaptation for X -Armed Bandits by Hédi Hadiji
05-23-2019	A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data by Evgenii Kanin et al
05-24-2019	OSOM: A Simultaneously Optimal Algorithm for Multi-Armed and Linear Contextual Bandits by Niladri S. Chatterji et al
05-21-2019	High-Resolution Road Vehicle Collision Prediction for the City of Montreal by Antoine Hébert et al
05-24-2019	Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation by Rémi Flamary et al
05-21-2019	Topological Feature Vectors for Chatter Detection in Turning Processes by Melih C. Yesilli et al
05-24-2019	Multi-Kernel Correntropy for Robust Learning by Badong Chen et al
05-23-2019	Sequential Gaussian Processes for Online Learning of Nonstationary Functions by Michael Minyi Zhang et al
05-23-2019	Tissue segmentation with deep 3D networks and spatial priors by Lukas Hirsch et al
05-22-2019	Fusion of heterogeneous bands and kernels in hyperspectral image processing by Muhammad Aminul Islam et al
05-23-2019	Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis by David G. Clark et al
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