2019.06.09 Learning papers

06-06-2019	Visualizing and Measuring the Geometry of BERT by Andy Coenen et al
06-04-2019	MelNet: A Generative Model for Audio in the Frequency Domain by Sean Vasquez et al
06-06-2019	Does Object Recognition Work for Everyone? by Terrance DeVries et al
06-07-2019	Selfie: Self-supervised Pretraining for Image Embedding by Trieu H. Trinh et al
06-06-2019	Practical Deep Learning with Bayesian Principles by Kazuki Osawa et al
06-06-2019	DeepMDP: Learning Continuous Latent Space Models for Representation Learning by Carles Gelada et al
06-05-2019	Butterfly Transform: An Efficient FFT Based Neural Architecture Design by Keivan Alizadeh et al
06-06-2019	Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation by Raphael Gontijo Lopes et al
06-05-2019	Finding Friend and Foe in Multi-Agent Games by Jack Serrino et al
06-06-2019	Residual Flows for Invertible Generative Modeling by Ricky T. Q. Chen et al
06-04-2019	Off-Policy Evaluation via Off-Policy Classification by Alex Irpan et al
06-05-2019	Approximate Inference Turns Deep Networks into Gaussian Processes by Mohammad Emtiyaz Khan et al
06-05-2019	Adapting Neural Networks for the Estimation of Treatment Effects by Claudia Shi et al
06-06-2019	Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading by Lianhui Qin et al
06-04-2019	Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision by Fredrik K. Gustafsson et al
06-06-2019	An Introduction to Variational Autoencoders by Diederik P. Kingma et al
06-05-2019	Automated Machine Learning: State-of-The-Art and Open Challenges by Radwa Elshawi et al
06-05-2019	Variational Pretraining for Semi-supervised Text Classification by Suchin Gururangan et al
06-05-2019	Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise by Xuanqing Liu et al
06-04-2019	Optimal Unsupervised Domain Translation by Emmanuel de Bézenac et al
06-04-2019	Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study by Chinnadhurai Sankar et al
06-05-2019	Complex Evolution Recurrent Neural Networks (ceRNNs) by Izhak Shafran et al
06-04-2019	On the Realization of Compositionality in Neural Networks by Joris Baan et al
06-04-2019	Text-based Editing of Talking-head Video by Ohad Fried et al
06-06-2019	Uncertainty-guided Continual Learning with Bayesian Neural Networks by Sayna Ebrahimi et al
06-05-2019	Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels by Martin Zlocha et al
06-04-2019	The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction by Dimitrios Alikaniotis et al
06-05-2019	SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks by Alireza Abedin et al
06-04-2019	PI-Net: A Deep Learning Approach to Extract Topological Persistence Images by Anirudh Som et al
06-04-2019	BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators by Fabio Ramos et al
06-04-2019	Generative Adversarial Networks: A Survey and Taxonomy by Zhengwei Wang et al
06-05-2019	Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders by Agostina J. Larrazabal et al
06-05-2019	Multi-view Knowledge Graph Embedding for Entity Alignment by Qingheng Zhang et al
06-05-2019	Ease-of-Teaching and Language Structure from Emergent Communication by Fushan Li et al
06-06-2019	Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network by Shadab Khan et al
06-07-2019	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks by Wei Wen et al
06-06-2019	Scaling Autoregressive Video Models by Dirk Weissenborn et al
06-04-2019	Boosting Entity Linking Performance by Leveraging Unlabeled Documents by Phong Le et al
06-06-2019	Unsupervised Pivot Translation for Distant Languages by Yichong Leng et al
06-05-2019	MNIST-C: A Robustness Benchmark for Computer Vision by Norman Mu et al
06-05-2019	Training Temporal Word Embeddings with a Compass by Valerio Di Carlo et al
06-04-2019	Bayesian Active Learning With Abstention Feedbacks by Cuong V. Nguyen et al
06-06-2019	An Extensible Interactive Interface for Agent Design by Matthew Rahtz et al
06-07-2019	Automatic Reparameterisation of Probabilistic Programs by Maria I. Gorinova et al
06-05-2019	Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior by Feng Liu et al
06-06-2019	One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis by Vishal Sunder et al
06-07-2019	Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images by Yizhe Zhang et al
06-05-2019	Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework by L. Elisa Celis et al
06-04-2019	Are Girls Neko or Sh\=ojo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization by Mozhi Zhang et al
06-04-2019	How multilingual is Multilingual BERT? by Telmo Pires et al
06-05-2019	Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning by Noel C. F. Codella et al
06-05-2019	Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian by Cong Ye et al
06-06-2019	Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models by Alexander Terenin et al
06-07-2019	Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach by Ognjen Rudovic et al
06-05-2019	Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks by Yi Ren et al
06-05-2019	How to Initialize your Network? Robust Initialization for WeightNorm & ResNets by Devansh Arpit et al
06-06-2019	Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild by Abubakar Abid et al
06-06-2019	Covariance in Physics and Convolutional Neural Networks by Miranda C. N. Cheng et al
06-04-2019	What do AI algorithms actually learn? - On false structures in deep learning by Laura Thesing et al
06-06-2019	Can You Trust Your Models Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift by Yaniv Ovadia et al
06-06-2019	Bridging the Gap between Training and Inference for Neural Machine Translation by Wen Zhang et al
06-06-2019	Compressing RNNs for IoT devices by 15-38x using Kronecker Products by Urmish Thakker et al
06-06-2019	Worst-Case Regret Bounds for Exploration via Randomized Value Functions by Daniel Russo
06-05-2019	Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm by Pin Wang et al
06-06-2019	FSPool: Learning Set Representations with Featurewise Sort Pooling by Yan Zhang et al
06-06-2019	Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View by Yiping Lu et al
06-05-2019	Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings by Vihari Piratla et al
06-05-2019	Extracting Symptoms and their Status from Clinical Conversations by Nan Du et al
06-05-2019	Data Sketching for Faster Training of Machine Learning Models by Baharan Mirzasoleiman et al
06-05-2019	A Tunable Loss Function for Classification by Tyler Sypherd et al
06-05-2019	Generative Model-Based Ischemic Stroke Lesion Segmentation by Tao Song
06-04-2019	A Strong and Robust Baseline for Text-Image Matching by Fangyu Liu et al
06-07-2019	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation by Varun Khare et al
06-06-2019	Clustered Reinforcement Learning by Xiao Ma et al
06-05-2019	An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation by Roger D. Soberanis-Mukul et al
06-05-2019	Deep Q-Learning for Directed Acyclic Graph Generation by Laura D'Arcy et al
06-05-2019	Efficient, Lexicon-Free OCR using Deep Learning by Marcin Namysl et al
06-05-2019	Gradient-Based Neural DAG Learning by Sébastien Lachapelle et al
06-04-2019	A Multi-Pass GAN for Fluid Flow Super-Resolution by Maximilian Werhahn et al
06-06-2019	Does Generative Face Completion Help Face Recognition? by Joe Mathai et al
06-05-2019	Enhancing Gradient-based Attacks with Symbolic Intervals by Shiqi Wang et al
06-06-2019	Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections by Junxian He et al
06-04-2019	One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation by Chenhong Zhou et al
06-05-2019	Neural Learning of Online Consumer Credit Risk by Di Wang et al
06-06-2019	Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies by Patrick Nadeem Ward et al
06-06-2019	One-Shot Neural Architecture Search via Compressive Sensing by Minsu Cho et al
06-04-2019	Reinforcement Learning When All Actions are Not Always Available by Yash Chandak et al
06-06-2019	Amortized Inference of Variational Bounds for Learning Noisy-OR by Yiming Yan et al
06-06-2019	A novel approach to model exploration for value function learning by Zlatan Ajanovic et al
06-04-2019	Learning Deep Transformer Models for Machine Translation by Qiang Wang et al
06-05-2019	Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings by Jean-Francois Ton et al
06-07-2019	Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier by T. Tony Cai et al
06-07-2019	Relaxed Weight Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series by Jeeheh Oh et al
06-05-2019	Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations by Debraj Basu et al
06-04-2019	A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design by Rafael Garcia Leiva et al
06-04-2019	Sequential Neural Networks as Automata by William Merrill
06-07-2019	Early detection of sepsis utilizing deep learning on electronic health record event sequences by Simon Meyer Lauritsen et al
06-07-2019	Reinforcement Learning under Drift by Wang Chi Cheung et al
06-07-2019	Ego-Pose Estimation and Forecasting as Real-Time PD Control by Ye Yuan et al
06-05-2019	Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response by Svitlana Vyetrenko et al
06-07-2019	DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks by Feihong Liu et al
06-07-2019	Reliable Classification Explanations via Adversarial Attacks on Robust Networks by Walt Woods et al
06-06-2019	Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer by Ekim Yurtsever et al
06-05-2019	A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings by Yun Zhao et al
06-05-2019	Improved low-count quantitative PET reconstruction with a variational neural network by Hongki Lim et al
06-04-2019	Learning dynamic polynomial proofs by Alhussein Fawzi et al
06-07-2019	Learning Representations of Graph Data -- A Survey by Mital Kinderkhedia

06-04-2019	Embedded hyper-parameter tuning by Simulated Annealing by Matteo Fischetti et al
06-04-2019	Global Optimality Guarantees For Policy Gradient Methods by Jalaj Bhandari et al
06-04-2019	Information Competing Process for Learning Diversified Representations by Jie Hu et al
06-04-2019	An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem by Chaitanya K. Joshi et al
06-04-2019	Task-Guided Pair Embedding in Heterogeneous Network by Chanyoung Park et al
06-06-2019	Localizing Catastrophic Forgetting in Neural Networks by Felix Wiewel et al
06-06-2019	Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks by Long Xin et al
06-04-2019	Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs by Deepak Nathani et al
06-06-2019	Learning in Gated Neural Networks by Ashok Vardhan Makkuva et al
06-04-2019	Options as responses: Grounding behavioural hierarchies in multi-agent RL by Alexander Sasha Vezhnevets et al
06-06-2019	Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP by Haonan Yu et al
06-05-2019	A General O(n2)O(n2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM by Linning Xu et al
06-04-2019	Finding Syntactic Representations in Neural Stacks by William Merrill et al
06-06-2019	Adaptive Gradient-Based Meta-Learning Methods by Mikhail Khodak et al
06-04-2019	Disentangling neural mechanisms for perceptual grouping by Junkyung Kim et al
06-04-2019	Detecting Ghostwriters in High Schools by Magnus Stavngaard et al
06-05-2019	Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron by Yunsu Kim et al
06-06-2019	From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation by Yu Liu et al
06-04-2019	Lifelong Learning with a Changing Action Set by Yash Chandak et al
06-06-2019	Mixed Strategy Game Model Against Data Poisoning Attacks by Yifan Ou et al
06-04-2019	Autonomous Reinforcement Learning of Multiple Interrelated Tasks by Vieri Giuliano Santucci et al
06-04-2019	Adversarial Training Generalizes Data-dependent Spectral Norm Regularization by Kevin Roth et al
06-05-2019	Private Deep Learning with Teacher Ensembles by Lichao Sun et al
06-05-2019	A neural network based policy iteration algorithm with global H2H2-superlinear convergence for stochastic games on domains by Kazufumi Ito et al
06-07-2019	Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations by Wu Lin et al
06-07-2019	The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks by Ryo Karakida et al
06-07-2019	Unsupervised Representation Learning of DNA Sequences by Vishal Agarwal et al
06-06-2019	Flexibly Fair Representation Learning by Disentanglement by Elliot Creager et al
06-05-2019	Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control by Alexander Broad et al
06-04-2019	DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction by Huaishao Luo et al
06-04-2019	Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning by Sandeep Madireddy et al
06-06-2019	Vertex Classification on Weighted Networks by Hayden Helm et al
06-04-2019	Visual Diagnosis of Dermatological Disorders: Human and Machine Performance by Jeremy Kawahara et al
06-05-2019	Dont Paint It Black: White-Box Explanations for Deep Learning in Computer Security by Alexander Warnecke et al
06-05-2019	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks by Sitao Luan et al
06-07-2019	Visual Person Understanding through Multi-Task and Multi-Dataset Learning by Kilian Pfeiffer et al
06-05-2019	AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation by Pierrick Coupé et al
06-05-2019	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions by Zhalama et al
06-04-2019	Transferable Neural Projection Representations by Chinnadhurai Sankar et al
06-05-2019	Fair Near Neighbor Search: Independent Range Sampling in High Dimensions by Martin Aumüller et al
06-05-2019	Variational Spectral Graph Convolutional Networks by Louis Tiao et al
06-06-2019	The Open Vault Challenge -- Learning how to build calibration-free interactive systems by cracking the code of a vault by Jonathan Grizou
06-06-2019	Unsupervised Co-Learning on GG-Manifolds Across Irreducible Representations by Yifeng Fan et al
06-05-2019	Improving Textual Network Embedding with Global Attention via Optimal Transport by Liqun Chen et al
06-06-2019	Likelihood Ratios for Out-of-Distribution Detection by Jie Ren et al
06-06-2019	Gradual Machine Learning for Aspect-level Sentiment Analysis by Yanyan Wang et al
06-06-2019	Towards Interpretable Reinforcement Learning Using Attention Augmented Agents by Alex Mott et al
06-04-2019	PCA-driven Hybrid network design for enabling Intelligence at the Edge by Indranil Chakraborty et al
06-06-2019	Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions by Gal Levy-Fix et al
06-06-2019	Near Neighbor: Who is the Fairest of Them All? by Sariel Har-Peled et al
06-06-2019	Should Adversarial Attacks Use Pixel p-Norm? by Ayon Sen et al
06-04-2019	Attributed Graph Clustering via Adaptive Graph Convolution by Xiaotong Zhang et al
06-07-2019	Learning Classifier Synthesis for Generalized Few-Shot Learning by Han-Jia Ye et al
06-07-2019	Conditional Neural Style Transfer with Peer-Regularized Feature Transform by Jan Svoboda et al
06-05-2019	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification by Jun Wu et al
06-04-2019	KarNet: An Efficient Boolean Function Simplifier by Shanka Subhra Mondal et al
06-06-2019	A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis by Bhavya Kailkhura et al
06-05-2019	Discriminative Few-Shot Learning Based on Directional Statistics by Junyoung Park et al
06-07-2019	Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks by Xudong Sun et al
06-06-2019	Robust Attacks against Multiple Classifiers by Juan C. Perdomo et al
06-06-2019	One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers by Ari S. Morcos et al
06-05-2019	pCAMP: Performance Comparison of Machine Learning Packages on the Edges by Xingzhou Zhang et al
06-05-2019	Can Graph Neural Networks Help Logic Reasoning? by Yuyu Zhang et al
06-07-2019	Kernelized Capsule Networks by Taylor Killian et al
06-05-2019	A systematic framework for natural perturbations from videos by Vaishaal Shankar et al
06-04-2019	Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation by Ruibo Tu et al
06-06-2019	When Does Label Smoothing Help? by Rafael Müller et al
06-04-2019	The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation by Zhe Feng et al
06-04-2019	Robust exploration in linear quadratic reinforcement learning by Jack Umenberger et al
06-04-2019	Collaborative Translational Metric Learning by Chanyoung Park et al
06-06-2019	A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent by Alex Olshevsky et al
06-05-2019	Building a Computer Mahjong Player via Deep Convolutional Neural Networks by Shiqi Gao et al
06-06-2019	Deep Semi-Supervised Anomaly Detection by Lukas Ruff et al
06-05-2019	Human Activity Recognition with Convolutional Neural Netowrks by Antonio Bevilacqua et al
06-06-2019	What you need is a more professional teacher by Liwei Lin et al
06-07-2019	Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality by Eric Nalisnick et al
06-04-2019	The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas by Michael P. J. Camilleri et al
06-04-2019	Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty by Meet P. Vadera et al
06-06-2019	StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks by Jie An et al
06-04-2019	Fr\echet random forests by Louis Capitaine et al
06-05-2019	Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications by Brendan Duke et al
06-04-2019	Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction by Alban Laflaquière et al
06-07-2019	Semi-supervised Stochastic Multi-Domain Learning using Variational Inference by Yitong Li et al
06-04-2019	Dilated Convolution with Dilated GRU for Music Source Separation by Jen-Yu Liu et al
06-04-2019	Learning Transferable Cooperative Behavior in Multi-Agent Teams by Akshat Agarwal et al
06-05-2019	GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism by Wataru Kawai et al
06-04-2019	Stochastic Gradients for Large-Scale Tensor Decomposition by Tamara G. Kolda et al
06-07-2019	Key Ingredients of Self-Driving Cars by Rui Fan et al
06-04-2019	KERMIT: Generative Insertion-Based Modeling for Sequences by William Chan et al
06-04-2019	Universal Boosting Variational Inference by Trevor Campbell et al
06-07-2019	Rectifying Classifier Chains for Multi-Label Classification by Robin Senge et al
06-06-2019	Ranking and synchronization from pairwise measurements via SVD by Alexandre d'Aspremont et al
06-05-2019	CCMI : Classifier based Conditional Mutual Information Estimation by Sudipto Mukherjee et al
06-04-2019	Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms by Xiangyi Chen et al
06-06-2019	Stochastic Bandits with Context Distributions by Johannes Kirschner et al
06-06-2019	GIBBONR: An R package for the detection and classification of acoustic signals using machine learning by Dena J. Clink et al
06-06-2019	Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers by Rana Ali Amjad et al
06-07-2019	Audio tagging with noisy labels and minimal supervision by Eduardo Fonseca et al
06-06-2019	Multi-Frequency Vector Diffusion Maps by Yifeng Fan et al
06-05-2019	Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization by Koen Helwegen et al
06-05-2019	Terminology-based Text Embedding for Computing Document Similarities on Technical Content by Hamid Mirisaee et al
06-04-2019	Wasserstein Weisfeiler-Lehman Graph Kernels by Matteo Togninalli et al
06-04-2019	Graduated Optimization of Black-Box Functions by Weijia Shao et al
06-04-2019	An interpretable machine learning framework for modelling human decision behavior by Mengzhuo Guo et al
06-06-2019	Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric by Yujun Shi et al
06-05-2019	A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives by Alexander Fabisch et al
06-04-2019	Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems by George Onoufriou et al
06-05-2019	Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples by Kit Kuksenok et al
06-07-2019	Ensemble Pruning via Margin Maximization by Waldyn Martinez
06-06-2019	Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization by Cody Mazza-Anthony et al
06-04-2019	Improving Neural Language Models by Segmenting, Attending, and Predicting the Future by Hongyin Luo et al
06-06-2019	On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks by Hengameh Mirzaalian et al
06-04-2019	Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves by Armin Lederer et al
06-06-2019	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening by Yiqiu Shen et al
06-04-2019	Localization in Aerial Imagery with Grid Maps using LocGAN by Haohao Hu et al
06-04-2019	Architecture Selection via the Trade-off Between Accuracy and Robustness by Zhun Deng et al
06-06-2019	Bad Global Minima Exist and SGD Can Reach Them by Shengchao Liu et al
06-05-2019	Syntax-Infused Variational Autoencoder for Text Generation by Xinyuan Zhang et al
06-05-2019	From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions by David Mareček et al
06-05-2019	Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing? by Michael Allan Ribers et al
06-04-2019	Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat by Dakuo Wang et al
06-07-2019	Recurrent Kernel Networks by Dexiong Chen et al
06-06-2019	A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter by Andrei Velichko
06-06-2019	Combining Generative and Discriminative Models for Hybrid Inference by Victor Garcia Satorras et al
06-04-2019	Toward Building Conversational Recommender Systems: A Contextual Bandit Approach by Xiaoying Zhang et al
06-04-2019	A numerical measure of the instability of Mapper-type algorithms by Francisco Belchí et al
06-07-2019	Inductive Bias of Gradient Descent based Adversarial Training on Separable Data by Yan Li et al
06-06-2019	CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data by Markus Hanselmann et al
06-06-2019	Primal-Dual Block Frank-Wolfe by Qi Lei et al
06-06-2019	Complete Dictionary Learning via ℓ4ℓ4-Norm Maximization over the Orthogonal Group by Yuexiang Zhai et al
06-07-2019	Labeled Graph Generative Adversarial Networks by Shuangfei Fan et al
06-04-2019	A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers by Rafael Gomes Mantovani et al
06-07-2019	Fighting Quantization Bias With Bias by Alexander Finkelstein et al
06-04-2019	Reinforcement Learning with Low-Complexity Liquid State Machines by Wachirawit Ponghiran et al
06-05-2019	On the Convergence of SARAH and Beyond by Bingcong Li et al
06-04-2019	Investigating Writing Style Development in High School by Stephan Lorenzen et al
06-04-2019	Modeling e-Learners Cognitive and Metacognitive Strategy in Comparative Question Solving by Feng Tian et al
06-07-2019	Disentangled State Space Representations by Đorđe Miladinović et al
06-04-2019	Bayesian Optimization of Composite Functions by Raul Astudillo et al
06-04-2019	Higher-Order Accelerated Methods for Faster Non-Smooth Optimization by Brian Bullins et al
06-06-2019	Quaternion Collaborative Filtering for Recommendation by Shuai Zhang et al
06-06-2019	Active Deep Decoding of Linear Codes by Ishay Be'ery et al
06-05-2019	Machine Learning and System Identification for Estimation in Physical Systems by Fredrik Bagge Carlson
06-06-2019	(Pen-) Ultimate DNN Pruning by Marc Riera et al
06-06-2019	Boosting Operational DNN Testing Efficiency through Conditioning by Zenan Li et al
06-04-2019	Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees by Xavier Renard et al
06-07-2019	Deep Learning For Experimental Hybrid Terrestrial and Satellite Interference Management by Pol Henarejos et al
06-06-2019	Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum by Cho-Ying Wu et al
06-07-2019	Online Graph-Based Change-Point Detection for High Dimensional Data by Yang-Wen Sun et al
06-06-2019	Fault Diagnosis of Rotary Machines using Deep Convolutional Neural Network with three axis signal input by Davor Kolar et al
06-05-2019	Probabilistic hypergraph grammars for efficient molecular optimization by Egor Kraev et al
06-05-2019	Evaluating Explainers via Perturbation by Minh N. Vu et al
06-04-2019	Exact Combinatorial Optimization with Graph Convolutional Neural Networks by Maxime Gasse et al
06-04-2019	Encoding Invariances in Deep Generative Models by Viraj Shah et al
06-07-2019	Distributed Learning with Random Features by Jian Li et al
06-04-2019	Streaming Variational Monte Carlo by Yuan Zhao et al
06-07-2019	Topological descriptors of spatial coherence in a convective boundary layer by José Licón-Saláiz et al
06-06-2019	Training large-scale ANNs on simulated resistive crossbar arrays by Malte J. Rasch et al
06-04-2019	Generalized Linear Rule Models by Dennis Wei et al
06-06-2019	Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images by Nicholas O. Ralph et al
06-07-2019	A cryptographic approach to black box adversarial machine learning by Kevin Shi et al
06-04-2019	Towards Task and Architecture-Independent Generalization Gap Predictors by Scott Yak et al
06-04-2019	Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds by Nathan Kallus et al
06-04-2019	Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control by Armin Lederer et al
06-07-2019	Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods by Karel Lenc et al
06-07-2019	Computing Exact Guarantees for Differential Privacy by Antti Koskela et al
06-05-2019	Learning to regularize with a variational autoencoder for hydrologic inverse analysis by Daniel O'Malley et al
06-05-2019	GOT: An Optimal Transport framework for Graph comparison by Hermina Petric Maretic et al
06-04-2019	Manifold-regression to predict from MEG/EEG brain signals without source modeling by David Sabbagh et al
06-07-2019	Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data by Daniel Jiwoong Im et al
06-05-2019	On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations by David Calhas et al
06-04-2019	Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles by Feng Zhang et al
06-07-2019	Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck by Sungyub Kim et al
06-04-2019	Convergence of Learning Dynamics in Stackelberg Games by Tanner Fiez et al
06-06-2019	Toward a Characterization of Loss Functions for Distribution Learning by Nika Haghtalab et al
06-05-2019	Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection by Martine De Cock et al
06-07-2019	Reconstruction and Membership Inference Attacks against Generative Models by Benjamin Hilprecht et al
06-05-2019	Automated Classification of Seizures against Nonseizures: A Deep Learning Approach by Xinghua Yao et al
06-05-2019	Interpretable and Differentially Private Predictions by Frederik Harder et al
06-05-2019	Enumeration of Distinct Support Vectors for Interactive Decision Making by Kentaro Kanamori et al
06-05-2019	Empirical Risk Minimization under Random Censorship: Theory and Practice by Guillaume Ausset et al
06-07-2019	Structured Variational Inference in Continuous Cox Process Models by Virginia Aglietti et al
06-05-2019	Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior by Daniel L. Marino et al
06-04-2019	Sparse Representation Classification via Screening for Graphs by Cencheng Shen et al
06-04-2019	Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games by Aristide Tossou et al
06-05-2019	Last-iterate convergence rates for min-max optimization by Jacob Abernethy et al
06-06-2019	Counterfactual Inference for Consumer Choice Across Many Product Categories by Rob Donnelly et al
06-07-2019	On the Current State of Research in Explaining Ensemble Performance Using Margins by Waldyn Martinez et al
06-06-2019	Using anomaly detection to support classification of fast running (packaging) processes by Tilman Klaeger et al
06-05-2019	Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis by Yanan Li et al
06-05-2019	Diameter-based Interactive Structure Search by Christopher Tosh et al
06-06-2019	Failures detection at directional drilling using real-time analogues search by Ekaterina Gurina et al
06-06-2019	Energy Predictive Models with Limited Data using Transfer Learning by Ali Hooshmand et al
06-07-2019	Learning Software Configuration Spaces: A Systematic Literature Review by Juliana Alves Pereira et al
06-04-2019	A Nonlinear Acceleration Method for Iterative Algorithms by Mahdi Shamsi et al
06-05-2019	Unbiased estimators for the variance of MMD estimators by Dougal J. Sutherland
06-04-2019	A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access by Jinzhi Lin et al
06-05-2019	Cubic-Spline Flows by Conor Durkan et al
06-05-2019	The Architectural Implications of Facebooks DNN-based Personalized Recommendation by Udit Gupta et al
06-05-2019	Estimating Feature-Label Dependence Using Gini Distance Statistics by Silu Zhang et al
06-05-2019	Automated Activity Recognition of Construction Equipment Using a Data Fusion Approach by Behnam Sherafat et al
06-04-2019	Unsupervised Temporal Clustering to Monitor the Performance of Alternative Fueling Infrastructure by Kalai Ramea
06-04-2019	Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures by Andre Viebke et al
06-06-2019	ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling by Matthieu Bellucci et al
06-06-2019	Classical Policy Gradient: Preserving Bellmans Principle of Optimality by Philip S. Thomas et al
06-04-2019	Prediction of Workplace Injuries by Mehdi Sadeqi et al
06-04-2019	The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis by Cynthia Rudin et al