2019.11.24 Learning papers

11-21-2019	Discrete and Continuous Deep Residual Learning Over Graphs by Pedro H. C. Avelar et al
11-24-2019	When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks by Minghao Guo et al
11-21-2019	Agent Probing Interaction Policies by Siddharth Ghiya et al
11-21-2019	Dual Learning-based Video Coding with Inception Dense Blocks by Chao Liu et al
11-22-2019	Technical report: supervised training of convolutional spiking neural networks with PyTorch by Romain Zimmer et al
11-22-2019	CoverNet: Multimodal Behavior Prediction using Trajectory Sets by Tung Phan-Minh et al
11-22-2019	Scalable sim-to-real transfer of soft robot designs by Sam Kriegman et al
11-22-2019	A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution by Jianguo Chen et al
11-22-2019	Cost-Based Goal Recognition Meets Deep Learning by Mariane Maynard et al
11-22-2019	Responsible Scoring Mechanisms Through Function Sampling by Abolfazl Asudeh et al
11-23-2019	Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data by Davoud Ataee Tarzanagh et al
11-22-2019	Adaptive Nearest Neighbor: A General Framework for Distance Metric Learning by Kun Song
11-25-2019	Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework by Tobias Schlosser et al
11-21-2019	Quantization Networks by Jiwei Yang et al
11-22-2019	Fair Multi-party Machine Learning -- a Game Theoretic approach by Zhiliang Chen
11-21-2019	Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec by Jing Pan et al
11-21-2019	Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation by Chenze Shao et al
11-22-2019	Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures by Hasan Genc et al
11-24-2019	Reinventing 2D Convolutions for 3D Medical Images by Jiancheng Yang et al
11-21-2019	Synthetic vs Real: Deep Learning on Controlled Noise by Lu Jiang et al
11-21-2019	ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring by David Berthelot et al
11-21-2019	WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation by Amir Zadeh et al
11-24-2019	Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms by Kaiqing Zhang et al
11-21-2019	Multi-Scale RCNN Model for Financial Time-series Classification by Liu Guang et al
11-22-2019	Fleet Control using Coregionalized Gaussian Process Policy Iteration by Timothy Verstraeten et al
11-22-2019	GANkyoku: a Generative Adversarial Network for Shakuhachi Music by Omar Peracha et al
11-25-2019	Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling by Chihao Zhang et al
11-22-2019	Training Modern Deep Neural Networks for Memory-Fault Robustness by Ghouthi Boukli Hacene et al
11-21-2019	Differentiable Algorithm for Marginalising Changepoints by Hyoungjin Lim et al
11-24-2019	Fast Polynomial Kernel Classification for Massive Data by Jinshan Zeng et al
11-23-2019	Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data by Ido Faran et al
11-25-2019	The Convex Information Bottleneck Lagrangian by Borja Rodríguez Gálvez et al
11-25-2019	Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network by Naofumi Tomita et al
11-21-2019	Incorporating Textual Evidence in Visual Storytelling by Tianyi Li et al
11-21-2019	Multi-objective Neural Architecture Search via Predictive Network Performance Optimization by Han Shi et al
11-25-2019	A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks by Tobias Schlosser et al
11-25-2019	Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment by Marc Aubreville et al
11-25-2019	A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations by Zekun Yang et al
11-21-2019	Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons by Ligong Han et al
11-22-2019	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values by Xianfeng Tang et al
11-21-2019	Continual Learning with Adaptive Weights (CLAW) by Tameem Adel et al
11-24-2019	Projective Quadratic Regression for Online Learning by Wenye Ma
11-22-2019	Thompson Sampling for Factored Multi-Agent Bandits by Timothy Verstraeten et al
11-24-2019	Lung Cancer Detection and Classification based on Image Processing and Statistical Learning by Md Rashidul Hasan et al
11-22-2019	An End-to-End Framework for Cold Question Routing in Community Question Answering Services by Jiankai Sun et al
11-24-2019	Breaking the cycle -- Colleagues are all you need by Ori Nizan et al
11-25-2019	Automatic Ensemble Learning for Online Influence Maximization by Xiaojin Zhang
11-25-2019	Deep Ordinal Classification with Inequality Constraints by Soufiane Belharbi et al
11-22-2019	Noise Induces Loss Discrepancy Across Groups for Linear Regression by Fereshte Khani et al
11-22-2019	Neuron Interaction Based Representation Composition for Neural Machine Translation by Jian Li et al
11-22-2019	Neural Networks Learning and Memorization with (almost) no Over-Parameterization by Amit Daniely
11-22-2019	PointPainting: Sequential Fusion for 3D Object Detection by Sourabh Vora et al
11-22-2019	Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality by Saurabh Khanna et al
11-21-2019	Vouw: Geometric Pattern Mining using the MDL Principle by Micky Faas et al
11-22-2019	SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation by Yasin Almalioglu et al
11-22-2019	Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition by Weizhu Qian et al
11-21-2019	Temporal Reasoning via Audio Question Answering by Haytham M. Fayek et al
11-21-2019	Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints by Weizhu Qian et al
11-21-2019	Empirical Autopsy of Deep Video Captioning Frameworks by Nayyer Aafaq et al
11-21-2019	Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections by Golnaz Habibi et al
11-22-2019	Bounding Singular Values of Convolution Layers by Sahil Singla et al
11-25-2019	End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances by Marin Toromanoff et al
11-22-2019	Attack Agnostic Statistical Method for Adversarial Detection by Sambuddha Saha et al
11-23-2019	Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment by Siddharth Biswal et al
11-25-2019	A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming by Jia-Jie Zhu et al
11-22-2019	Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation by Toshiaki Koike-Akino et al
11-22-2019	Privately Learning Thresholds: Closing the Exponential Gap by Haim Kaplan et al
11-25-2019	Women, politics and Twitter: Using machine learning to change the discourse by Lana Cuthbertson et al
11-25-2019	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators by Julien Girard-Satabin et al
11-21-2019	An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy by Jiaxu Chen et al
11-21-2019	Estimating uncertainty of earthquake rupture using Bayesian neural network by Sabber Ahamed
11-21-2019	Finite-Time 4-Expert Prediction Problem by Erhan Bayraktar et al
11-21-2019	Accelerating Reinforcement Learning with Suboptimal Guidance by Eivind Bøhn et al
11-22-2019	Multi-source Distilling Domain Adaptation by Sicheng Zhao et al
11-21-2019	JANOS: An Integrated Predictive and Prescriptive Modeling Framework by David Bergman et al
11-25-2019	Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning by Xiaojiang Yang et al
11-21-2019	Efficient Drone Mobility Support Using Reinforcement Learning by Yun Chen et al
11-21-2019	When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima? by Maziar Sanjabi et al
11-21-2019	Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT by Vanlin Sathya et al
11-25-2019	Failure Modes in Machine Learning Systems by Ram Shankar Siva Kumar et al
11-22-2019	Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution by Artyom Gadetsky et al
11-21-2019	Volume-preserving Neural Networks: A Solution to the Vanishing Gradient Problem by Gordon MacDonald et al
11-22-2019	Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction by Yantao Lu et al
11-21-2019	Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller by Pratyusha Sharma et al
11-21-2019	Large-scale Multi-view Subspace Clustering in Linear Time by Zhao Kang et al
11-22-2019	Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy by Sheikh Rabiul Islam et al
11-21-2019	TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources by Sahan Bulathwela et al
11-23-2019	Compressing Representations for Embedded Deep Learning by Juliano S. Assine et al
11-23-2019	Meta Adaptation using Importance Weighted Demonstrations by Kiran Lekkala et al
11-22-2019	TPsgtR: Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning by Chiranjib Sur
11-24-2019	Stage-based Hyper-parameter Optimization for Deep Learning by Ahnjae Shin et al
11-21-2019	Scalable methods for computing state similarity in deterministic Markov Decision Processes by Pablo Samuel Castro
11-21-2019	Approximated Orthonormal Normalisation in Training Neural Networks by Guoqiang Zhang et al
11-21-2019	Observe Before Play: Multi-armed Bandit with Pre-observations by Jinhang Zuo et al
11-21-2019	Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM by Alberto Barbado et al
11-24-2019	Trajectory growth lower bounds for random sparse deep ReLU networks by Ilan Price et al
11-25-2019	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently by Laixi Shi et al
11-21-2019	Separate and Attend in Personal Email Search by Yu Meng et al
11-24-2019	A Unified Deep Learning Approach for Prediction of Parkinsons Disease by James Wingate et al
11-24-2019	Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator by Zhenyue Qin et al
11-22-2019	TreeGen: A Tree-Based Transformer Architecture for Code Generation by Zeyu sun et al
11-25-2019	Disentangled Cumulants Help Successor Representations Transfer to New Tasks by Christopher Grimm et al
11-22-2019	Universal adversarial examples in speech command classification by Jon Vadillo et al
11-21-2019	Data Proxy Generation for Fast and Efficient Neural Architecture Search by Minje Park
11-21-2019	Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks by Saurabh Singh et al
11-25-2019	Adversarial Attack with Pattern Replacement by Ziang Dong et al
11-25-2019	KerGM: Kernelized Graph Matching by Zhen Zhang et al
11-21-2019	Factorized Multimodal Transformer for Multimodal Sequential Learning by Amir Zadeh et al
11-22-2019	Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning by Samuel G. Finlayson et al
11-22-2019	Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs by Stefano Vincenzi et al
11-22-2019	Unsupervised Features Learning for Sampled Vector Fields by Mateusz Juda
11-22-2019	Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study by Friso G. Heslinga et al
11-21-2019	Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach by M. Hamed Mozaffari et al
11-23-2019	From Persistent Homology to Reinforcement Learning with Applications for Retail Banking by Jeremy Charlier
11-21-2019	Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach by Hyung Ju Hwang et al
11-22-2019	Neural Integration of Continuous Dynamics by Margaret Trautner et al
11-21-2019	S-RASTER: Contraction Clustering for Evolving Data Streams by Gregor Ulm et al
11-21-2019	Are Noisy Sentences Useless for Distant Supervised Relation Extraction? by Yuming Shang
11-25-2019	DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback by David Burth Kurka et al
11-25-2019	Identifying Model Weakness with Adversarial Examiner by Michelle Shu et al
11-22-2019	On Functional Test Generation for Deep Neural Network IPs by Bo Luo et al
11-21-2019	Information-Theoretic Confidence Bounds for Reinforcement Learning by Xiuyuan Lu et al
11-22-2019	Improving N-gram Language Models with Pre-trained Deep Transformer by Yiren Wang et al
11-22-2019	SWAG: Item Recommendations using Convolutions on Weighted Graphs by Amit Pande et al
11-25-2019	Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning by Mark Edmonds et al
11-24-2019	Multi-Component Graph Convolutional Collaborative Filtering by Xiao Wang et al
11-21-2019	Neural Network Memorization Dissection by Jindong Gu et al
11-22-2019	DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation by Guanqi Zhan et al
11-25-2019	Neural Random Forest Imitation by Christoph Reinders et al
11-21-2019	Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration by Jianyu Su et al
11-21-2019	System Identification with Time-Aware Neural Sequence Models by Thomas Demeester
11-21-2019	The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities by Faranak Abri et al
11-21-2019	Visual Tactile Fusion Object Clustering by Tao Zhang et al
11-22-2019	Maximum Entropy Models from Phase Harmonic Covariances by Sixin Zhang et al
11-21-2019	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability by Stacey Truex et al
11-23-2019	GRASPEL: Graph Spectral Learning at Scale by Yongyu Wang et al
11-24-2019	ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems by Bharathan Balaji et al
11-24-2019	Algorithmic Bias in Recidivism Prediction: A Causal Perspective by Aria Khademi et al
11-24-2019	On the Robustness of Deep Learning-predicted Contention Models for Network Calculus by Fabien Geyer et al
11-24-2019	Real-time Analysis of Privacy-(un)aware IoT Applications by Leonardo Babun et al
11-25-2019	Invert to Learn to Invert by Patrick Putzky et al
11-25-2019	Contextual Combinatorial Conservative Bandits by Xiaojin Zhang et al
11-22-2019	A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model by Juan-José Giraldo et al
11-22-2019	Prediction of individual progression rate in Parkinsons disease using clinical measures and biomechanical measures of gait and postural stability by Vyom Raval et al
11-22-2019	SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors by Zhangxiaowen Gong et al
11-24-2019	Towards a Hypothesis on Visual Transformation based Self-Supervision by Dipan K. Pal et al
11-25-2019	Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder by Cooper J. Mellema et al
11-24-2019	Latent space conditioning for improved classification and anomaly detection by Erik Norlander et al
11-24-2019	Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation by Ahmad El Sallab et al
11-24-2019	Improvement of Batch Normalization in Imbalanced Data by Muneki Yasuda et al
11-24-2019	A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control by Yuguang Yang
11-25-2019	FairyTED: A Fair Rating Predictor for TED Talk Data by Rupam Acharyya et al
11-21-2019	LATTE: Latent Type Modeling for Biomedical Entity Linking by Ming Zhu et al
11-25-2019	A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification by Xiaowei Gu et al
11-25-2019	One Mans Trash is Another Mans Treasure: Resisting Adversarial Examples by Adversarial Examples by Chang Xiao et al
11-21-2019	Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction by Zhanqiu Zhang et al
11-21-2019	Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech by David Harwath et al
11-21-2019	Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation by Konstantin Ushenin et al
11-22-2019	DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning by Mohammadhosein Hasanbeig et al
11-21-2019	Accurate Hydrologic Modeling Using Less Information by Guy Shalev et al
11-25-2019	Few-Shot Knowledge Graph Completion by Chuxu Zhang et al
11-25-2019	Biologically inspired architectures for sample-efficient deep reinforcement learning by Pierre H. Richemond et al
11-23-2019	A Stochastic Tensor Method for Non-convex Optimization by Aurelien Lucchi et al
11-25-2019	Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems by Sami Khairy et al
11-25-2019	Solving Traveltime Tomography with Deep Learning by Yuwei Fan et al
11-25-2019	Neural Graph Matching Network: Learning Lawlers Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching by Runzhong Wang et al

11-25-2019	Meta-Learning of Neural Architectures for Few-Shot Learning by Thomas Elsken et al
11-22-2019	Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition by Mohammed Haroon Dupty et al
11-22-2019	Adversarial Learning of Privacy-Preserving and Task-Oriented Representations by Taihong Xiao et al
11-25-2019	Translation Insensitive CNNs by Ganesh Sundaramoorthi et al
11-25-2019	Learning to Learn Words from Narrated Video by Dídac Surís et al
11-25-2019	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds by Qingyong Hu et al
11-25-2019	A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift by Azadeh Sadat Mozafari et al
11-24-2019	Histogram Transform Ensembles for Density Estimation by Hanyuan Hang
11-21-2019	A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data by Weizhu Qian et al
11-22-2019	HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation by Ling Luo et al
11-21-2019	Random Machines: A bagged-weighted support vector model with free kernel choice by Anderson Ara et al
11-21-2019	Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features by Siddharth Gururani et al
11-21-2019	Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means by Andrea Agostinelli et al
11-25-2019	Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks by Brendan E. Odigwe et al
11-24-2019	AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces by Manpreet Singh Minhas et al
11-21-2019	Regularizing Neural Networks by Stochastically Training Layer Ensembles by Alex Labach et al
11-25-2019	Nearest Neighbor Sampling of Point Sets using Random Rays by Liangchen Liu et al
11-21-2019	Improving Conditioning in Context-Aware Sequence to Sequence Models by Xinyi Wang et al
11-24-2019	PAC learning with stable and private predictions by Yuval Dagan et al
11-22-2019	Data Programming using Continuous and Quality-Guided Labeling Functions by Oishik Chatterjee et al
11-22-2019	Analysis of Evolutionary Behavior in Self-Learning Media Search Engines by Nikki Lijing Kuang et al
11-22-2019	Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction by Tapas Nayak et al
11-22-2019	Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm by Nikki Lijing Kuang et al
11-25-2019	Discriminative training of conditional random fields with probably submodular constraints by Maxim Berman et al
11-25-2019	Oops! Predicting Unintentional Action in Video by Dave Epstein et al
11-25-2019	Machine-learned metrics for predicting thelikelihood of success in materials discovery by Yoolhee Kim et al
11-22-2019	Instance Cross Entropy for Deep Metric Learning by Xinshao Wang et al
11-25-2019	Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data by Ehsan Aghaei et al
11-21-2019	EvAn: Neuromorphic Event-based Anomaly Detection by Lakshmi Annamalai et al
11-21-2019	Automatically Generating Macro Research Reports from a Piece of News by Wenxin Hu et al
11-25-2019	Structured Multi-Hashing for Model Compression by Elad Eban et al
11-25-2019	Biologically Plausible Sequence Learning with Spiking Neural Networks by Zuozhu Liu et al
11-21-2019	State Alignment-based Imitation Learning by Fangchen Liu et al
11-25-2019	PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes by Rundi Wu et al
11-21-2019	Few Shot Network Compression via Cross Distillation by Haoli Bai et al
11-21-2019	Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models by Zhiyun Lu et al
11-22-2019	DL-Droid: Deep learning based android malware detection using real devices by Mohammed K. Alzaylaee et al
11-21-2019	Paraphrasing with Large Language Models by Sam Witteveen et al
11-23-2019	Intermittent Demand Forecasting with Deep Renewal Processes by Ali Caner Turkmen et al
11-23-2019	SAL: Sign Agnostic Learning of Shapes from Raw Data by Matan Atzmon et al
11-23-2019	DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles by Yue Zhao et al
11-21-2019	DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures by Zhijie Deng et al
11-22-2019	HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs by Fangyu Liu et al
11-22-2019	Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems by Jaynta Mandi et al
11-22-2019	Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families by Yibo Yang et al
11-21-2019	Safe Linear Stochastic Bandits by Kia Khezeli et al
11-24-2019	Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning by Gang Chen
11-24-2019	Causally Denoise Word Embeddings Using Half-Sibling Regression by Zekun Yang et al
11-22-2019	High Quality ELMo Embeddings for Seven Less-Resourced Languages by Matej Ulčar et al
11-22-2019	Privacy-preserving parametric inference: a case for robust statistics by Marco Avella-Medina
11-25-2019	Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem by John Holler et al
11-22-2019	Decision Making guided by Emotion A computational architecture by Dominique Béroule et al
11-21-2019	A Unified Framework for Lifelong Learning in Deep Neural Networks by Charles X. Ling et al
11-21-2019	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck by Yuxuan Song et al
11-25-2019	Improving VAE generations of multimodal data through data-dependent conditional priors by Frantzeska Lavda et al
11-22-2019	Optimizing Data Usage via Differentiable Rewards by Xinyi Wang et al
11-22-2019	Weighted Laplacian and Its Theoretical Applications by Shijie Xu et al
11-25-2019	Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning by Harsh Jot Singh et al
11-25-2019	Learning to Determine the Quality of News Headlines by Amin Omidvar et al
11-25-2019	Rigging the Lottery: Making All Tickets Winners by Utku Evci et al
11-25-2019	A Benchmark for Anomaly Segmentation by Dan Hendrycks et al
11-24-2019	Functional Bayesian Filter by Kan Li et al
11-25-2019	Distortion and Faults in Machine Learning Software by Shin Nakajima
11-24-2019	DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning by Samet Demir et al
11-25-2019	Efficient Saliency Maps for Explainable AI by T. Nathan Mundhenk et al
11-22-2019	Deep Reinforcement Learning for Trading by Zihao Zhang et al
11-21-2019	Entity Extraction with Knowledge from Web Scale Corpora by Zeyi Wen et al
11-21-2019	ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks by Monika Sharma et al
11-25-2019	Discovering topics with neural topic models built from PLSA assumptions by Sileye 0. Ba
11-21-2019	TMI: Thermodynamic inference of data manifolds by Purushottam D. Dixit
11-21-2019	Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees by Ruqi Zhang et al
11-21-2019	A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM by Sima Siami-Namini et al
11-21-2019	An Alternative Cross Entropy Loss for Learning-to-Rank by Sebastian Bruch
11-25-2019	Effective Decoding in Graph Auto-Encoder using Triadic Closure by Han Shi et al
11-24-2019	Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism by Yue Bai et al
11-21-2019	Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy by Ke Sun et al
11-23-2019	Low Rank Approximation for Smoothing Spline via Eigensystem Truncation by Danqing Xu et al
11-21-2019	Decoding Spiking Mechanism with Dynamic Learning on Neuron Population by Zhijie Chen et al
11-23-2019	Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot by Ron Ziv et al
11-24-2019	Causality for Machine Learning by Bernhard Schölkopf
11-24-2019	dpVAEs: Fixing Sample Generation for Regularized VAEs by Riddhish Bhalodia et al
11-22-2019	Federated Learning with Bayesian Differential Privacy by Aleksei Triastcyn et al
11-22-2019	Actively Learning Gaussian Process Dynamics by Mona Buisson-Fenet et al
11-25-2019	Efficient Global String Kernel with Random Features: Beyond Counting Substructures by Lingfei Wu et al
11-25-2019	Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays by N. Mert Vural et al
11-21-2019	Communication-Efficient and Byzantine-Robust Distributed Learning by Avishek Ghosh et al
11-22-2019	ptype: Probabilistic Type Inference by Taha Ceritli et al
11-21-2019	Parameter-Free Locally Differentially Private Stochastic Subgradient Descent by Kwang-Sung Jun et al
11-21-2019	Identify the cells nuclei based on the deep learning neural network by Tianyang Zhang et al
11-24-2019	Differentially Private Federated Variational Inference by Mrinank Sharma et al
11-22-2019	Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer by Benjamin D. Steel
11-22-2019	A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features by Thibault Duhamel et al
11-21-2019	Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application by Bitan Hou et al
11-22-2019	This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks by Kyung Ho Park et al
11-25-2019	Gating Revisited: Deep Multi-layer RNNs That Can Be Trained by Mehmet Ozgur Turkoglu et al
11-24-2019	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction by Weijia Zhang et al
11-25-2019	Making Learners (More) Monotone by Tom J. Viering et al
11-25-2019	Cumulative Sum Ranking by Ruy Luiz Milidiú et al
11-25-2019	Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding by Lingfei Wu et al
11-23-2019	Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems by Nibraas Khan et al
11-24-2019	Scaling active inference by Alexander Tschantz et al
11-21-2019	Zero-Resource Cross-Lingual Named Entity Recognition by M Saiful Bari et al
11-24-2019	Improving EEG based Continuous Speech Recognition by Gautam Krishna et al
11-21-2019	Learning Feature Interactions with Lorentzian Factorization Machine by Canran Xu et al
11-21-2019	Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator by Shengwen Yang et al
11-21-2019	Robust Learning-based Predictive Control for Constrained Nonlinear Systems by Xinglong Zhang et al
11-21-2019	Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning by Artur Garcia-Saez et al
11-25-2019	Playing it Safe: Adversarial Robustness with an Abstain Option by Cassidy Laidlaw et al
11-21-2019	Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control by Marta Sarrico et al
11-25-2019	ROIPCA: An Online PCA algorithm based on rank-one updates by Roy Mitz et al