2019.06.02 Learning papers

05-28-2019	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks by Mingxing Tan et al
05-28-2019	SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers by Igor Fedorov et al
05-28-2019	The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial by Benyamin Ghojogh et al
05-28-2019	SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver by Po-Wei Wang et al
05-28-2019	Deep Scale-spaces: Equivariance Over Scale by Daniel E. Worrall et al
05-29-2019	Limitations of the Empirical Fisher Approximation by Frederik Kunstner et al
05-29-2019	Pre-training Graph Neural Networks by Weihua Hu et al
05-28-2019	Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge by Kenshin Abe et al
05-28-2019	Differential Privacy Has Disparate Impact on Model Accuracy by Eugene Bagdasaryan et al
05-29-2019	Are Disentangled Representations Helpful for Abstract Visual Reasoning? by Sjoerd van Steenkiste et al
05-29-2019	A Study of BFLOAT16 for Deep Learning Training by Dhiraj Kalamkar et al
05-28-2019	Causal Confusion in Imitation Learning by Pim de Haan et al
05-31-2019	SELFIES: a robust representation of semantically constrained graphs with an example application in chemistry by Mario Krenn et al
05-29-2019	Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling by Kashyap Chitta et al
05-28-2019	Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae by Piero Molino et al
05-29-2019	Using Text Embeddings for Causal Inference by Victor Veitch et al
05-28-2019	A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation by Mitsuru Kusumoto et al
05-29-2019	Wasserstein Style Transfer by Youssef Mroueh
05-29-2019	The spiked matrix model with generative priors by Benjamin Aubin et al
05-28-2019	Cerberus: A Multi-headed Derenderer by Boyang Deng et al
05-28-2019	High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks by Haohan Wang et al
05-31-2019	On the Fairness of Disentangled Representations by Francesco Locatello et al
05-29-2019	Learning Representations by Humans, for Humans by Sophie Hilgard et al
05-30-2019	Rarely-switching linear bandits: optimization of causal effects for the real world by Benjamin Lansdell et al
05-29-2019	Recursive Sketches for Modular Deep Learning by Badih Ghazi et al
05-30-2019	A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends by Saptarshi Sengupta et al
05-30-2019	Learning Nonsymmetric Determinantal Point Processes by Mike Gartrell et al
05-29-2019	Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology by Eugene Ie et al
05-30-2019	What Can Neural Networks Reason About? by Keyulu Xu et al
05-29-2019	Size-free generalization bounds for convolutional neural networks by Philip M. Long et al
05-29-2019	Unsupervised Paraphrasing without Translation by Aurko Roy et al
05-29-2019	Emergence of Object Segmentation in Perturbed Generative Models by Adam Bielski et al
05-29-2019	dd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding by Xiang Xu et al
05-28-2019	Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) by Mariya Toneva et al
05-30-2019	Meta-Surrogate Benchmarking for Hyperparameter Optimization by Aaron Klein et al
05-29-2019	A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models by Elman Mansimov et al
05-30-2019	Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels by Simon S. Du et al
05-30-2019	Quantifying the alignment of graph and features in deep learning by Yifan Qian et al
05-29-2019	Racial Bias in Hate Speech and Abusive Language Detection Datasets by Thomas Davidson et al
05-29-2019	Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification by Han Bao et al
05-28-2019	SignalTrain: Profiling Audio Compressors with Deep Neural Networks by Scott H. Hawley et al
05-29-2019	Batch weight for domain adaptation with mass shift by Mikołaj Bińkowski et al
05-29-2019	Entropic Regularisation of Robust Optimal Transport by Rozenn Dahyot et al
05-29-2019	Mixed Precision Training With 8-bit Floating Point by Naveen Mellempudi et al
05-28-2019	Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition by Martin Mundt et al
05-30-2019	Does computer vision matter for action? by Brady Zhou et al
05-30-2019	Defining Admissible Rewards for High Confidence Policy Evaluation by Niranjani Prasad et al
05-30-2019	Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience by Vaishnavh Nagarajan et al
05-28-2019	Certifiably Robust Interpretation in Deep Learning by Alexander Levine et al
05-28-2019	Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning by Sindy Löwe et al
05-29-2019	What Makes Training Multi-Modal Networks Hard? by Weiyao Wang et al
05-29-2019	Anti-efficient encoding in emergent communication by Rahma Chaabouni et al
05-28-2019	Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics by Giancarlo Kerg et al
05-29-2019	A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning by Sunny Duan et al
05-28-2019	Bayesian Nonparametric Federated Learning of Neural Networks by Mikhail Yurochkin et al
05-29-2019	Diffusion Variational Autoencoders by Henry Li et al
05-29-2019	Generating Contrastive Explanations with Monotonic Attribute Functions by Ronny Luss et al
05-29-2019	Path-Augmented Graph Transformer Network by Benson Chen et al
05-31-2019	MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension by Alon Talmor et al
05-29-2019	Learning Multilingual Word Embeddings Using Image-Text Data by Karan Singhal et al
05-29-2019	Graph Learning Network: A Structure Learning Algorithm by Darwin Saire Pilco et al
05-28-2019	Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem by Gonzalo Mena et al
05-30-2019	Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence by Aditya Golatkar et al
05-28-2019	Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement by Peng Xu et al
05-28-2019	Unsupervised Learning from Video with Deep Neural Embeddings by Chengxu Zhuang et al
05-28-2019	Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networks by Artem Maevskiy et al
05-28-2019	Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks by Pu Zhao et al
05-28-2019	Exploring Interpretable LSTM Neural Networks over Multi-Variable Data by Tian Guo et al
05-30-2019	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures by Michael S. Ryoo et al
05-29-2019	Bandlimiting Neural Networks Against Adversarial Attacks by Yuping Lin et al
05-30-2019	Interpretable Adversarial Training for Text by Samuel Barham et al
05-28-2019	Learning Portable Representations for High-Level Planning by Steven James et al
05-28-2019	Controlling Neural Level Sets by Matan Atzmon et al
05-29-2019	Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators by Daniel Stoller et al
05-28-2019	Bayesian Anomaly Detection Using Extreme Value Theory by Sreelekha Guggilam et al
05-29-2019	Latent Space Secrets of Denoising Text-Autoencoders by Tianxiao Shen et al
05-28-2019	Leveraging Medical Visual Question Answering with Supporting Facts by Tomasz Kornuta et al
05-30-2019	MolecularRNN: Generating realistic molecular graphs with optimized properties by Mariya Popova et al
05-30-2019	On Network Design Spaces for Visual Recognition by Ilija Radosavovic et al
05-29-2019	An adaptive nearest neighbor rule for classification by Akshay Balsubramani et al
05-29-2019	Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning by Daniele Bonadiman et al
05-28-2019	Generation of Policy-Level Explanations for Reinforcement Learning by Nicholay Topin et al
05-30-2019	iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images by Syed Waqas Zamir et al
05-31-2019	Luck Matters: Understanding Training Dynamics of Deep ReLU Networks by Yuandong Tian et al
05-28-2019	Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction by Matthew C. Robinson et al
05-29-2019	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT by Philipp Seeböck et al
05-29-2019	Complex-valued neural networks for machine learning on non-stationary physical data by Jesper Sören Dramsch et al
05-29-2019	Semi-Implicit Generative Model by Mingzhang Yin et al
05-28-2019	LatentGNN: Learning Efficient Non-local Relations for Visual Recognition by Songyang Zhang et al
05-28-2019	GraphNVP: An Invertible Flow Model for Generating Molecular Graphs by Kaushalya Madhawa et al
05-30-2019	Generalized Separable Nonnegative Matrix Factorization by Junjun Pan et al
05-29-2019	On the Generalization Gap in Reparameterizable Reinforcement Learning by Huan Wang et al
05-28-2019	Interactive Teaching Algorithms for Inverse Reinforcement Learning by Parameswaran Kamalaruban et al
05-29-2019	Word-order biases in deep-agent emergent communication by Rahma Chaabouni et al
05-30-2019	Combating the Compounding-Error Problem with a Multi-step Model by Kavosh Asadi et al
05-28-2019	Leveraging binding-site structure for drug discovery with point-cloud methods by Vincent Mallet et al
05-28-2019	Triple2Vec: Learning Triple Embeddings from Knowledge Graphs by Valeria Fionda et al
05-28-2019	A Control-Model-Based Approach for Reinforcement Learning by Yingdong Lu et al
05-30-2019	Towards Finding Longer Proofs by Zsolt Zombori et al
05-28-2019	Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning by Shariq Iqbal et al
05-28-2019	A New Distribution on the Simplex with Auto-Encoding Applications by Andrew Stirn et al
05-30-2019	Private Hypothesis Selection by Mark Bun et al
05-29-2019	Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes by Krzysztof Choromanski et al
05-28-2019	Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer by Yanshuai Cao et al
05-29-2019	Fairness and Missing Values by Fernando Martínez-Plumed et al
05-28-2019	Effect of context in swipe gesture-based continuous authentication on smartphones by Pekka Siirtola et al
05-29-2019	Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference by Cole L. Hurwitz et al
05-28-2019	Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems by Geoffrey Roeder et al
05-28-2019	Network Deconvolution by Chengxi Ye et al
05-28-2019	EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction by Diane Bouchacourt et al
05-29-2019	Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation by Byung Hoon Ahn et al
05-28-2019	Adaptive Deep Kernel Learning by Prudencio Tossou et al
05-28-2019	Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems by Yassin Khalifa et al
05-28-2019	Private Identity Testing for High-Dimensional Distributions by Clément L. Canonne et al
05-28-2019	On Dropout and Nuclear Norm Regularization by Poorya Mianjy et al
05-28-2019	Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning by Wonjae Kim et al
05-29-2019	Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering by Weichang Wu et al
05-29-2019	Stabilizing GANs with Octave Convolutions by Ricard Durall et al
05-31-2019	Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup by Yair Meidan et al
05-30-2019	Particle Filter Recurrent Neural Networks by Xiao Ma et al
05-28-2019	ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation by Yuzhe Yang et al
05-28-2019	Importance of user inputs while using incremental learning to personalize human activity recognition models by Pekka Siirtola et al
05-29-2019	Evaluating structure learning algorithms with a balanced scoring function by Anthony Constantinou
05-30-2019	On Value Functions and the Agent-Environment Boundary by Nan Jiang
05-28-2019	Snooping Attacks on Deep Reinforcement Learning by Matthew Inkawhich et al
05-30-2019	Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations by Brijen Thananjeyan et al
05-30-2019	Reinforcement Learning for Mean Field Game by Nilay Tiwari et al
05-28-2019	Using Ontologies To Improve Performance In Massively Multi-label Prediction Models by Ethan Steinberg et al
05-28-2019	Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions by Oliver K. Ernst et al
05-28-2019	A Topology Layer for Machine Learning by Rickard Brüel-Gabrielsson et al
05-28-2019	Evaluating time series forecasting models: An empirical study on performance estimation methods by Vitor Cerqueira et al
05-30-2019	All SMILES VAE by Zaccary Alperstein et al
05-30-2019	Neural Consciousness Flow by Xiaoran Xu et al
05-28-2019	Discrete Infomax Codes for Meta-Learning by Yoonho Lee et al
05-29-2019	Learning Navigation Subroutines by Watching Videos by Ashish Kumar et al
05-29-2019	Multi-task Learning in Deep Gaussian Processes with Multi-kernel Layers by Ayman Boustati et al
05-29-2019	Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach by Falco J. Bargagli-Stoffi et al
05-28-2019	Minimizing approximately submodular functions by Marwa El Halabi et al
05-29-2019	Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models by Sasi Kumar Murakonda et al
05-28-2019	Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks by Kun Su et al
05-29-2019	Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations by Léonard Hussenot et al
05-29-2019	Adversarial Sub-sequence for Text Generation by Xingyuan Chen et al
05-29-2019	Learning the Non-linearity in Convolutional Neural Networks by Gavneet Singh Chadha et al
05-30-2019	Counting and Segmenting Sorghum Heads by Min-hwan Oh et al
05-30-2019	Exploiting Uncertainty of Loss Landscape for Stochastic Optimization by Vineeth S. Bhaskara et al
05-30-2019	ImJoy: an open-source computational platform for the deep learning era by Wei Ouyang et al
05-29-2019	Active Learning in the Overparameterized and Interpolating Regime by Mina Karzand et al
05-31-2019	Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning by Tailai Wen et al
05-28-2019	Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters by Jayadev Acharya et al
05-28-2019	Adversarial Domain Adaptation Being Aware of Class Relationships by Zeya Wang et al
05-30-2019	Effective Medical Test Suggestions Using Deep Reinforcement Learning by Yang-En Chen et al
05-29-2019	NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds by Pengfei Jin et al
05-30-2019	General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison by Johannes Günther et al
05-31-2019	Interval timing in deep reinforcement learning agents by Ben Deverett et al
05-30-2019	Sum-of-squares meets square loss: Fast rates for agnostic tensor completion by Dylan J. Foster et al
05-28-2019	Accelerating Extreme Classification via Adaptive Feature Agglomeration by Ankit Jalan et al
05-28-2019	Overlearning Reveals Sensitive Attributes by Congzheng Song et al
05-29-2019	Matrix-Free Preconditioning in Online Learning by Ashok Cutkosky et al
05-28-2019	Competitive Gradient Descent by Florian Schäfer et al
05-28-2019	Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017 by Maksim Belousov et al
05-29-2019	Designing and Implementing Data Warehouse for Agricultural Big Data by Vuong M. Ngo et al
05-30-2019	Rethinking Table Parsing using Graph Neural Networks by Shah Rukh Qasim et al
05-29-2019	Segmentation of blood vessels in retinal fundus images by Michiel Straat et al
05-28-2019	Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding by Peixian Chen et al
05-28-2019	Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition by Jingzhao Zhang et al
05-31-2019	Bypassing Backdoor Detection Algorithms in Deep Learning by Te Juin Lester Tan et al
05-29-2019	Clustering without Over-Representation by Sara Ahmadian et al
05-29-2019	Personalizing human activity recognition models using incremental learning by Pekka Siirtola et al
05-29-2019	Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data by Shicong Cen et al
05-29-2019	Adversarial Imitation Learning from Incomplete Demonstrations by Mingfei Sun et al
05-28-2019	BreizhCrops: A Satellite Time Series Dataset for Crop Type Identification by Marc Rußwurm et al
05-28-2019	Differentiable Sorting using Optimal Transport:The Sinkhorn CDF and Quantile Operator by Marco Cuturi et al
05-28-2019	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks by Dan Levi et al
05-29-2019	Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection by Hyunwook Kang et al
05-29-2019	Vector-Valued Graph Trend Filtering with Non-Convex Penalties by Rohan Varma et al
05-29-2019	Where is the Information in a Deep Neural Network? by Alessandro Achille et al
05-28-2019	Semi-Supervised Learning, Causality and the Conditional Cluster Assumption by Julius von Kügelgen et al
05-28-2019	Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network by Kun Xu et al
05-31-2019	Scaffold-based molecular design using graph generative model by Jaechang Lim et al
05-29-2019	Replica-exchange Nos\e-Hoover dynamics for Bayesian learning on large datasets by Rui Luo et al
05-30-2019	Provably Efficient Q-Learning with Low Switching Cost by Yu Bai et al
05-30-2019	Meta Dropout: Learning to Perturb Features for Generalization by Hae Beom Lee et al
05-29-2019	SECRET: Semantically Enhanced Classification of Real-world Tasks by Ayten Ozge Akmandor et al
05-31-2019	Learning Sparse Networks Using Targeted Dropout by Aidan N. Gomez et al
05-28-2019	Combinatorial Bandits with Full-Bandit Feedback: Sample Complexity and Regret Minimization by Idan Rejwan et al
05-28-2019	Harnessing Slow Dynamics in Neuromorphic Computation by Tianlin Liu
05-28-2019	AdaOja: Adaptive Learning Rates for Streaming PCA by Amelia Henriksen et al
05-31-2019	Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning by Matthew A. Wright et al
05-30-2019	Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators by Dae Ung Jo et al
05-31-2019	Subspace Networks for Few-shot Classification by Arnout Devos et al
05-28-2019	Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices by Nicolas Scheiner et al
05-29-2019	Flexible Mining of Prefix Sequences from Time-Series Traces by Antonio Anastasio Bruto da Costa et al
05-30-2019	Information theoretic learning of robust deep representations by Nicolas Pinchaud
05-31-2019	Implicit Regularization in Deep Matrix Factorization by Sanjeev Arora et al
05-28-2019	An Investigation of Data Poisoning Defenses for Online Learning by Yizhen Wang et al
05-28-2019	Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss by Pengcheng Li et al
05-29-2019	Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences by Xing Liu et al
05-30-2019	Parallel Algorithm for Non-Monotone DR-Submodular Maximization by Alina Ene et al
05-28-2019	NIL: Learning Nonlinear Interpolants by Mingshuai Chen et al
05-28-2019	When can unlabeled data improve the learning rate? by Christina Göpfert et al
05-29-2019	Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator by Karl Krauth et al
05-30-2019	Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks by Yuan Cao et al
05-29-2019	Regret Bounds for Thompson Sampling in Restless Bandit Problems by Young Hun Jung et al

05-30-2019	Deep multi-class learning from label proportions by Gabriel Dulac-Arnold et al
05-29-2019	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering by Liwei Wu et al
05-30-2019	Exploring Computational User Models for Agent Policy Summarization by Isaac Lage et al
05-28-2019	LeTS-Drive: Driving in a Crowd by Learning from Tree Search by Panpan Cai et al
05-30-2019	DeepShift: Towards Multiplication-Less Neural Networks by Mostafa Elhoushi et al
05-28-2019	Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis by Thulasi Tholeti et al
05-30-2019	On the Accuracy of Influence Functions for Measuring Group Effects by Pang Wei Koh et al
05-30-2019	Structured Output Learning with Conditional Generative Flows by You Lu et al
05-30-2019	Identifying Classes Susceptible to Adversarial Attacks by Rangeet Pan et al
05-30-2019	Residual Networks as Nonlinear Systems: Stability Analysis using Linearization by Kai Rothauge et al
05-30-2019	Function approximation by deep networks by H. N. Mhaskar et al
05-30-2019	Imitation Learning as ff-Divergence Minimization by Liyiming Ke et al
05-28-2019	CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks by Weicheng Li et al
05-29-2019	Learning to Crawl by Utkarsh Upadhyay et al
05-31-2019	On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder by Haowen Xu et al
05-30-2019	One-element Batch Training by Moving Window by Przemysław Spurek et al
05-28-2019	Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding by Yigit Ugur et al
05-28-2019	Approximate Guarantees for Dictionary Learning by Aditya Bhaskara et al
05-28-2019	Conditions on Features for Temporal Difference-Like Methods to Converge by Marcus Hutter et al
05-31-2019	End to end learning and optimization on graphs by Bryan Wilder et al
05-28-2019	A Graph Theoretic Additive Approximation of Optimal Transport by Nathaniel Lahn et al
05-30-2019	Fast Online Next Best Offers using Deep Learning by Rekha Singhal et al
05-29-2019	A unified variance-reduced accelerated gradient method for convex optimization by Guanghui Lan et al
05-30-2019	Enriched Mixtures of Gaussian Process Experts by Charles W. L. Gadd et al
05-31-2019	Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning by Yang Liu et al
05-29-2019	Recurrent Existence Determination Through Policy Optimization by Baoxiang Wang
05-29-2019	Advantage Amplification in Slowly Evolving Latent-State Environments by Martin Mladenov et al
05-30-2019	Toward Runtime-Throttleable Neural Networks by Jesse Hostetler
05-29-2019	Deep ensemble learning for Alzheimers disease classification by Ning An et al
05-30-2019	Efficient Covariance Estimation from Temporal Data by Hrayr Harutyunyan et al
05-29-2019	Lifelong Bayesian Optimization by Yao Zhang et al
05-29-2019	An Inertial Newton Algorithm for Deep Learning by Camille Castera et al
05-28-2019	Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics by Yi Xiang Marcus Tan et al
05-30-2019	AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows by Aditya Grover et al
05-29-2019	Model Similarity Mitigates Test Set Overuse by Horia Mania et al
05-30-2019	Persistent homology detects curvature by Peter Bubenik et al
05-30-2019	A Hippocampus Model for Online One-Shot Storage of Pattern Sequences by Jan Melchior et al
05-28-2019	Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models by Soham Deshmukh et al
05-28-2019	Constructing High Precision Knowledge Bases with Subjective and Factual Attributes by Ari Kobren et al
05-31-2019	Neural Likelihoods for Multi-Output Gaussian Processes by Martin Jankowiak et al
05-29-2019	Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models by Amrita Roy Chowdhury et al
05-28-2019	EM Converges for a Mixture of Many Linear Regressions by Jeongyeol Kwon et al
05-30-2019	Near-Term Quantum-Classical Associative Adversarial Networks by Eric R. Anschuetz et al
05-28-2019	Direct Nonlinear Acceleration by Aritra Dutta et al
05-30-2019	Discriminative Clustering for Robust Unsupervised Domain Adaptation by Rui Wang et al
05-28-2019	Differentiable Algorithm Networks for Composable Robot Learning by Peter Karkus et al
05-30-2019	Monotonic Gaussian Process Flow by Ivan Ustyuzhaninov et al
05-28-2019	Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks by Elahe Ghalebi et al
05-28-2019	A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems by Tianle Cai et al
05-30-2019	Regression with Conditional GAN by Karan Aggarwal et al
05-30-2019	Multi-Objective Generalized Linear Bandits by Shiyin Lu et al
05-31-2019	Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel by Soufiane Hayou et al
05-30-2019	Implicit Regularization of Accelerated Methods in Hilbert Spaces by Nicolò Pagliana et al
05-28-2019	Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions by Gentry Johnson et al
05-28-2019	Repeated A/B Testing by Nicolò Cesa-Bianchi et al
05-31-2019	Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input by Maxence Ernoult et al
05-29-2019	Rethinking Full Connectivity in Recurrent Neural Networks by Matthijs Van Keirsbilck et al
05-28-2019	RecNets: Channel-wise Recurrent Convolutional Neural Networks by George Retsinas et al
05-28-2019	Towards a Wearable Interface for Food Quality Grading through ERP Analysis by M. Guermandi et al
05-30-2019	Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies by Aftab Khan et al
05-31-2019	Partial Scan Electron Microscopy with Deep Learning by Jeffrey M. Ede et al
05-29-2019	Accelerated Sparsified SGD with Error Feedback by Tomoya Murata et al
05-30-2019	Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network by Jennifer L Cardona et al
05-31-2019	L0 Regularization Based Neural Network Design and Compression by S. Asim Ahmed
05-31-2019	Principal Fairness: \\ Removing Bias via Projections by Aris Anagnostopoulos et al
05-31-2019	Are Labels Required for Improving Adversarial Robustness? by Jonathan Uesato* et al
05-31-2019	ADMM for Efficient Deep Learning with Global Convergence by Junxiang Wang et al
05-28-2019	Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings by Angel Daruna et al
05-29-2019	From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone by Pekka Siirtola et al
05-28-2019	Global forensic geolocation with deep neural networks by Neal S. Grantham et al
05-28-2019	A Hessian Based Complexity Measure for Deep Networks by Hamid Javadi et al
05-31-2019	Unlabeled Data Improves Adversarial Robustness by Yair Carmon et al
05-29-2019	Intrinsic dimension of data representations in deep neural networks by Alessio Ansuini et al
05-28-2019	SGD on Neural Networks Learns Functions of Increasing Complexity by Preetum Nakkiran et al
05-31-2019	GSN: A Graph-Structured Network for Multi-Party Dialogues by Wenpeng Hu et al
05-30-2019	Efficient Forward Architecture Search by Hanzhang Hu et al
05-31-2019	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds by Peng Cao et al
05-28-2019	Solving graph compression via optimal transport by Vikas K. Garg et al
05-29-2019	Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward by Adnan Qayyum et al
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05-29-2019	Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones by Guichen Zhang et al
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05-29-2019	ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks by Yun Shen et al
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