2019.06.30 Learning papers

06-26-2019	Learning Data Augmentation Strategies for Object Detection by Barret Zoph et al
06-25-2019	Monte Carlo Gradient Estimation in Machine Learning by Shakir Mohamed et al
06-26-2019	ORRB -- OpenAI Remote Rendering Backend by Maciek Chociej et al
06-26-2019	Regularized Hierarchical Policies for Compositional Transfer in Robotics by Markus Wulfmeier et al
06-25-2019	Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics by Niru Maheswaranathan et al
06-27-2019	Fast Training of Sparse Graph Neural Networks on Dense Hardware by Matej Balog et al
06-27-2019	A Survey on GANs for Anomaly Detection by Federico Di Mattia et al
06-25-2019	The Difficulty of Training Sparse Neural Networks by Utku Evci et al
06-25-2019	Learning Causal State Representations of Partially Observable Environments by Amy Zhang et al
06-26-2019	Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection by Yihe Dong et al
06-27-2019	Adversarial Robustness via Adversarial Label-Smoothing by Morgane Goibert et al
06-25-2019	Semi-Supervised Learning with Self-Supervised Networks by Phi Vu Tran
06-25-2019	Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives by Anirudh Goyal et al
06-26-2019	Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data by Ryan Hausen et al
06-25-2019	Program Synthesis and Semantic Parsing with Learned Code Idioms by Richard Shin et al
06-25-2019	Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection by Kang Liu et al
06-27-2019	Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers by Richard Shin
06-27-2019	Curriculum Learning for Deep Generative Models with Clustering by Deli Zhao et al
06-28-2019	Growing Action Spaces by Gregory Farquhar et al
06-26-2019	Reachability Deficits in Quantum Approximate Optimization by V. Akshay et al
06-27-2019	Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images by Hongruixuan Chen et al
06-26-2019	Clustering by the way of atomic fission by Shizhan Lu
06-26-2019	End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving by Mohammed Abdou et al
06-27-2019	Evolving Robust Neural Architectures to Defend from Adversarial Attacks by Danilo Vasconcellos Vargas et al
06-26-2019	Accelerating Large-Kernel Convolution Using Summed-Area Tables by Linguang Zhang et al
06-28-2019	GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation by Marc Brockschmidt
06-27-2019	Loss Switching Fusion with Similarity Search for Video Classification by Lei Wang et al
06-27-2019	Latent Optimization for Non-adversarial Representation Disentanglement by Aviv Gabbay et al
06-25-2019	Computational Phase Transition Signature in Gibbs Sampling by H. Philathong et al
06-27-2019	Mind2Mind : transfer learning for GANs by Yaël Frégier et al
06-27-2019	Using Intuition from Empirical Properties to Simplify Adversarial Training Defense by Guanxiong Liu et al
06-26-2019	Benign Overfitting in Linear Regression by Peter L. Bartlett et al
06-27-2019	A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation by Alberto Bailoni et al
06-27-2019	Quantile Regression Deep Reinforcement Learning by Oliver Richter et al
06-25-2019	Complexity of Highly Parallel Non-Smooth Convex Optimization by Sébastien Bubeck et al
06-26-2019	A Simple Deep Personalized Recommendation System by Pavlos Mitsoulis-Ntompos et al
06-25-2019	CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging by Yucheng Zhang et al
06-26-2019	Personalized Student Stress Prediction with Deep Multitask Network by Abhinav Shaw et al
06-25-2019	A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls by Konstantin Mishchenko et al
06-26-2019	Interpretable Question Answering on Knowledge Bases and Text by Alona Sydorova et al
06-26-2019	Towards Empathic Deep Q-Learning by Bart Bussmann et al
06-27-2019	Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments by Evan Racah et al
06-26-2019	A Generative Model for Punctuation in Dependency Trees by Xiang Lisa Li et al
06-27-2019	Hyp-RL : Hyperparameter Optimization by Reinforcement Learning by Hadi S. Jomaa et al
06-25-2019	On Multi-Agent Learning in Team Sports Games by Yunqi Zhao et al
06-25-2019	Policy Optimization with Stochastic Mirror Descent by Long Yang et al
06-26-2019	From self-tuning regulators to reinforcement learning and back again by Nikolai Matni et al
06-25-2019	Importance Estimation for Neural Network Pruning by Pavlo Molchanov et al
06-26-2019	Defending Adversarial Attacks by Correcting logits by Yifeng Li et al
06-26-2019	Task-Driven Common Representation Learning via Bridge Neural Network by Yao Xu et al
06-26-2019	Further advantages of data augmentation on convolutional neural networks by Alex Hernández-García et al
06-25-2019	Quantitative Verification of Neural Networks And its Security Applications by Teodora Baluta et al
06-26-2019	A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning by Phanideep Gampa et al
06-26-2019	Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps by Osonde Osoba et al
06-28-2019	Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty by Dan Hendrycks et al
06-25-2019	Learning Explainable Models Using Attribution Priors by Gabriel Erion et al
06-25-2019	Uncertainty-aware Model-based Policy Optimization by Tung-Long Vuong et al
06-26-2019	Near Optimal Stratified Sampling by Tiancheng Yu et al
06-26-2019	Verifying Robustness of Gradient Boosted Models by Gil Einziger et al
06-26-2019	Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess by Youngnam Lee et al
06-25-2019	Simultaneous Prediction Intervals for Patient-Specific Survival Curves by Samuel Sokota et al
06-25-2019	Hierarchical Optimal Transport for Document Representation by Mikhail Yurochkin et al
06-25-2019	COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning by Wenxiao Wang et al
06-26-2019	Neural-network based general method for statistical mechanics on sparse systems by Feng Pan et al
06-26-2019	Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks by Tribhuvanesh Orekondy et al
06-27-2019	Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond by Oliver Hinder et al
06-28-2019	Learning to Cope with Adversarial Attacks by Xian Yeow Lee et al
06-27-2019	Deep Active Learning with Adaptive Acquisition by Manuel Haussmann et al
06-27-2019	Variational Mandible Shape Completion for Virtual Surgical Planning by Amir H. Abdi et al
06-25-2019	Perceptual Generative Autoencoders by Zijun Zhang et al
06-26-2019	A Debiased MDI Feature Importance Measure for Random Forests by Xiao Li et al
06-26-2019	A Tutorial on Concentration Bounds for System Identification by Nikolai Matni et al
06-27-2019	In-Between Uncertainty in Bayesian Neural Networks by Andrew Y. K. Foong et al
06-28-2019	Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts by Denis Emelin et al
06-26-2019	Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic by Maxime Bouton et al
06-26-2019	Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics by Meisam Navaki Arefi et al
06-26-2019	Adversarial FDI Attack against AC State Estimation with ANN by Tian Liu et al
06-28-2019	Neural ODEs as the Deep Limit of ResNets with constant weights by Benny Avelin et al
06-28-2019	DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM by Bao Wang et al
06-25-2019	Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD by Kosuke Haruki et al
06-28-2019	Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent by Shuheng Shen et al
06-25-2019	AGAN: Towards Automated Design of Generative Adversarial Networks by Hanchao Wang et al
06-26-2019	User-Oriented Summaries Using a PSO Based Scoring Optimization Method by Augusto Villa-Monte et al
06-26-2019	Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System by Yang Zhao et al
06-25-2019	Deep Learning of Compressed Sensing Operators with Structural Similarity Loss by Yochai Zur et al
06-26-2019	Signed Graph Attention Networks by Junjie Huang et al
06-27-2019	A Utility-Preserving GAN for Face Obscuration by Hanxiang Hao et al
06-26-2019	Latent Multi-Criteria Ratings for Recommendations by Pan Li et al
06-25-2019	Expected Sarsa(λλ) with Control Variate for Variance Reduction by Long Yang et al
06-26-2019	Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval by Stefan Balke et al
06-28-2019	Asymptotic Network Independence in Distributed Optimization for Machine Learning by Alex Olshevsky et al
06-27-2019	Uncertainty Estimates for Ordinal Embeddings by Michael Lohaus et al
06-26-2019	Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions by Lijun Zhang et al
06-26-2019	Selection Via Proxy: Efficient Data Selection For Deep Learning by Cody Coleman et al
06-28-2019	PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows by Guandao Yang et al
06-25-2019	Interpretable Image Recognition with Hierarchical Prototypes by Peter Hase et al
06-27-2019	Tuning-Free Disentanglement via Projection by Yue Bai et al
06-27-2019	Singular Value Decomposition and Neural Networks by Bernhard Bermeitinger et al
06-25-2019	Time-Varying Interaction Estimation Using Ensemble Methods by Brandon Oselio et al
06-26-2019	One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers by Matthew Halpern et al
06-25-2019	Active Learning Solution on Distributed Edge Computing by Jia Qian et al
06-27-2019	Studying the Impact of Mood on Identifying Smartphone Users by Khadija Zanna et al
06-28-2019	ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network by Zhangheng Li et al
06-27-2019	Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference by Klas Leino et al
06-27-2019	Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theorem by Hadrien Montanelli et al
06-27-2019	Toward Simulating Environments in Reinforcement Learning Based Recommendations by Xiangyu Zhao et al
06-27-2019	ExTra: Transfer-guided Exploration by Anirban Santara et al
06-25-2019	Modeling Severe Traffic Accidents With Spatial And Temporal Features by Devashish Khulbe et al
06-26-2019	NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization by Jiezhong Qiu et al
06-27-2019	R\enyi Fair Inference by Sina Baharlouei et al
06-25-2019	TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification by Ahmed Shifaz et al
06-27-2019	Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction by Sammy Christen et al
06-25-2019	Learning a sparse database for patch-based medical image segmentation by Moti Freiman et al
06-28-2019	One Embedding To Do Them All by Loveperteek Singh et al
06-25-2019	Optimistic Proximal Policy Optimization by Takahisa Imagawa et al
06-26-2019	Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning by Yuguang Yang et al
06-27-2019	On improving deep learning generalization with adaptive sparse connectivity by Shiwei Liu et al
06-27-2019	A Neural-based Program Decompiler by Cheng Fu et al
06-27-2019	Adversarial Representation Learning on Large-Scale Bipartite Graphs by Chaoyang He et al
06-28-2019	Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce by Sajan Kedia et al
06-26-2019	Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering by Xiaoyu Du et al
06-25-2019	Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine by Michael Deistler et al
06-28-2019	Continual Rare-Class Recognition with Emerging Novel Subclasses by Hung Nguyen et al
06-25-2019	Software Engineering Practices for Machine Learning by Peter Kriens et al
06-25-2019	A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN by Hajime Seya et al
06-28-2019	Searching for Interaction Functions in Collaborative Filtering by Quanming Yao et al
06-27-2019	Hierarchical Optimal Transport for Multimodal Distribution Alignment by John Lee et al
06-28-2019	Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks by Zhu Zhang et al
06-28-2019	Certifiable Robustness and Robust Training for Graph Convolutional Networks by Daniel Zügner et al
06-28-2019	FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms by Henry B. Moss et al
06-27-2019	Learning Fair Representations for Kernel Models by Zilong Tan et al
06-26-2019	On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification by Javier Naranjo-Alcazar et al
06-26-2019	Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes by Linan Huang et al
06-28-2019	Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection by Kin Quan et al
06-28-2019	Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions by Simon Luo et al
06-26-2019	RUSLAN: Russian Spoken Language Corpus for Speech Synthesis by Lenar Gabdrakhmanov et al
06-26-2019	A global approach for learning sparse Ising models by Daniela De Canditiis
06-26-2019	Identifying DNS-tunneled traffic with predictive models by Andreas Berg et al
06-28-2019	MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data by Lei Xu et al
06-26-2019	Hierarchical Data Reduction and Learning by Prashant Shekhar et al
06-26-2019	Automatic Discovery of Families of Network Generative Processes by Telmo Menezes et al
06-28-2019	Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors by Fredrik Sandin et al
06-28-2019	Statistical Learning from Biased Training Samples by Pierre Laforgue et al
06-27-2019	High-Dimensional Optimization in Adaptive Random Subspaces by Jonathan Lacotte et al
06-28-2019	Causal Regularization by Dominik Janzing
06-26-2019	No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms by Max Vladymyrov
06-25-2019	Visualizing High Dimensional Dynamical Processes by Andrés F. Duque et al
06-28-2019	Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks by Mihir Kale et al
06-26-2019	Clustering piecewise stationary processes by Azadeh Khaleghi et al
06-28-2019	FameSVD: Fast and Memory-efficient Singular Value Decomposition by Xiaocan Li et al
06-28-2019	Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors by Stefan Stevsic et al
06-28-2019	Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation by Eva Vanmassenhove et al
06-26-2019	Modeling Food Popularity Dependencies using Social Media data by Devashish Khulbe et al
06-26-2019	Deep Radar Detector by Daniel Brodeski et al
06-25-2019	Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing by Bodun Hu et al
06-27-2019	Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification by Ringo S. W. Chu et al
06-26-2019	Approximate Dynamic Programming For Linear Systems with State and Input Constraints by Ankush Chakrabarty et al
06-28-2019	Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning by Marcello Fiducioso et al
06-28-2019	The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection by Telmo Felgueira et al
06-27-2019	Adversarial Pixel-Level Generation of Semantic Images by Emanuele Ghelfi et al
06-26-2019	Modulated Bayesian Optimization using Latent Gaussian Process Models by Erik Bodin et al
06-25-2019	AMF: Aggregated Mondrian Forests for Online Learning by Jaouad Mourtada et al
06-26-2019	Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets by Amir R. Asadi et al
06-25-2019	New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms by Joonhyun Jeong et al
06-26-2019	Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness by Fanny Yang et al
06-27-2019	Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game by Lisa Oakley et al
06-26-2019	Orthogonal Projection in Linear Bandits by Qiyu Kang et al
06-25-2019	DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm by Gabriel Meseguer-Brocal et al
06-27-2019	Interpretable Almost-Matching-Exactly With Instrumental Variables by M. Usaid Awan et al
06-25-2019	Learning Fair and Transferable Representations by Luca Oneto et al
06-28-2019	RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators by David Meredith
06-26-2019	Integration of adversarial autoencoders with residual dense convolutional networks for inversion of solute transport in non-Gaussian conductivity fields by Shaoxing Mo et al
06-28-2019	Large scale Lasso with windowed active set for convolutional spike sorting by Laurent Dragoni et al
06-27-2019	Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics by Sebastian Riedel et al
06-27-2019	A New Malware Detection System Using a High Performance-ELM method by Shahab Shamshirband et al
06-25-2019	Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective by Chengqiang Lu et al
06-26-2019	Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC by Andreas Gocht et al
06-27-2019	Teaching DNNs to design fast fashion by Abhianv Ravi et al
06-25-2019	Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping by Pascal Schneider et al
06-25-2019	LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models by Dilip Kumar Margam et al
06-28-2019	L*-Based Learning of Markov Decision Processes (Extended Version) by Martin Tappler et al
06-25-2019	Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA by Boyi Liu et al
06-25-2019	Riemannian optimization on the simplex of positive definite matrices by Bamdev Mishra et al
06-25-2019	Non-Asymptotic Pure Exploration by Solving Games by Rémy Degenne et al
06-25-2019	From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning by Anna Guitart et al
06-25-2019	A unified sparse optimization framework to learn parsimonious physics-informed models from data by Kathleen Champion et al
06-25-2019	Restless dependent bandits with fading memory by Oleksandr Zadorozhnyi et al
06-25-2019	Explaining Deep Learning Models with Constrained Adversarial Examples by Jonathan Moore et al
06-25-2019	An Unsupervised Bayesian Neural Network for Truth Discovery by Jielong Yang et al
06-25-2019	ReachNN: Reachability Analysis of Neural-Network Controlled Systems by Chao Huang et al
06-25-2019	A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks by Armin Mehrabian et al
06-25-2019	Coding for Crowdsourced Classification with XOR Queries by James et al
06-27-2019	Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle by José Camacho et al
06-25-2019	Spectral Properties of Radial Kernels and Clustering in High Dimensions by David Cohen-Steiner et al
06-27-2019	Privacy-Preserving Distributed Learning with Secret Gradient Descent by Valentin Hartmann et al
06-25-2019	Emotion Recognition Using Fusion of Audio and Video Features by Juan D. S. Ortega et al
06-26-2019	Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization by Seonho Park et al