2019.09.15 Learning papers

09-10-2019	Meta-Learning with Implicit Gradients by Aravind Rajeswaran et al
09-12-2019	Modular Meta-Learning with Shrinkage by Yutian Chen et al
09-10-2019	DeepPrivacy: A Generative Adversarial Network for Face Anonymization by Håkon Hukkelås et al
09-11-2019	Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models by Ellen D. Zhong et al
09-11-2019	Specifying Object Attributes and Relations in Interactive Scene Generation by Oron Ashual et al
09-12-2019	Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation by Suraj Nair et al
09-10-2019	Knowledge Transfer Graph for Deep Collaborative Learning by Soma Minami et al
09-11-2019	FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency by Kacper Sokol et al
09-12-2019	CvxNets: Learnable Convex Decomposition by Boyang Deng et al
09-11-2019	Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices by Tiancheng Xia et al
09-11-2019	Geometric Graph Convolutional Neural Networks by Przemysław Spurek et al
09-12-2019	Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning by Dexter R. R. Scobee et al
09-10-2019	Compositional Generalization in Image Captioning by Mitja Nikolaus et al
09-11-2019	ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction by Xueyuan She et al
09-11-2019	Deep Declarative Networks: A New Hope by Stephen Gould et al
09-10-2019	De-biased Machine Learning for Compliers by Rahul Singh et al
09-11-2019	Learning Dynamic Author Representations with Temporal Language Models by Edouard Delasalles et al
09-12-2019	Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently by Vishnu Suresh Lokhande et al
09-12-2019	UER: An Open-Source Toolkit for Pre-training Models by Zhe Zhao et al
09-13-2019	FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces by Run Wang et al
09-11-2019	Time-weighted Attentional Session-Aware Recommender System by Mei Wang et al
09-11-2019	Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees by Mohammadhosein Hasanbeig et al
09-12-2019	A Robust Hybrid Approach for Textual Document Classification by Muhammad Nabeel Asim et al
09-11-2019	BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding by Timo I. Denk et al
09-12-2019	Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning by Christoph Stanik et al
09-11-2019	Deep Prediction of Investor Interest: a Supervised Clustering Approach by Baptiste Barreau et al
09-10-2019	Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations by Venktesh Pandey et al
09-12-2019	Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT by Sheng Shen et al
09-10-2019	Raiders of the Lost Art by Anthony Bourached et al
09-10-2019	MultiFiT: Efficient Multi-lingual Language Model Fine-tuning by Julian Eisenschlos et al
09-11-2019	Domain Aggregation Networks for Multi-Source Domain Adaptation by Junfeng Wen et al
09-12-2019	Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning by Yichen Jiang et al
09-10-2019	Towards Noise-Robust Neural Networks via Progressive Adversarial Training by Hang Yu et al
09-11-2019	Feedback Learning for Improving the Robustness of Neural Networks by Chang Song et al
09-11-2019	ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia by Aaron Halfaker et al
09-10-2019	Reinforcement Learning and Video Games by Yue Zheng
09-11-2019	Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging by Luis Muñoz-González et al
09-12-2019	Inspecting adversarial examples using the Fisher information by Jörg Martin et al
09-10-2019	Probabilistic framework for solving Visual Dialog by Badri N. Patro et al
09-10-2019	Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection by Christian Reisswig et al
09-10-2019	Privacy-Preserving Bandits by Mohammad Malekzadeh et al
09-10-2019	Boosting Classifiers with Noisy Inference by Yongjune Kim et al
09-10-2019	Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification by Eitan Rothberg et al
09-10-2019	Identifying and Resisting Adversarial Videos Using Temporal Consistency by Xiaojun Jia et al
09-11-2019	Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation by Shuyang Dai et al
09-10-2019	Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems by Mansour Saffar Mehrjardi et al
09-11-2019	Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints by Carlos Caetano et al
09-13-2019	Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications by Tamir Blum et al
09-12-2019	Fine-Grained Entity Typing for Domain Independent Entity Linking by Yasumasa Onoe et al
09-12-2019	Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies by Wesley Cowan et al
09-12-2019	Multiple Partitions Aligned Clustering by Zhao Kang et al
09-13-2019	Evaluating and Boosting Uncertainty Quantification in Classification by Xiaoyang Huang et al
09-10-2019	Neural Belief Reasoner by Haifeng Qian
09-11-2019	Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning by Felix Leibfried et al
09-12-2019	Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models by Faïcel Chamroukhi et al
09-12-2019	Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution by Vishnu Suresh Lokhande et al
09-12-2019	Learning Symbolic Physics with Graph Networks by Miles D. Cranmer et al
09-10-2019	First Analysis of Local GD on Heterogeneous Data by Ahmed Khaled et al
09-13-2019	Explainable Machine Learning in Deployment by Umang Bhatt et al
09-13-2019	Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering by Shiyue Zhang et al
09-12-2019	DyANE: Dynamics-aware node embedding for temporal networks by Koya Sato et al
09-11-2019	Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning by Samuel Showalter et al
09-11-2019	RecSim: A Configurable Simulation Platform for Recommender Systems by Eugene Ie et al
09-10-2019	FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images by Christian Zimmermann et al
09-11-2019	Correlation Priors for Reinforcement Learning by Bastian Alt et al
09-13-2019	A Neural Approach to Irony Generation by Mengdi Zhu et al
09-12-2019	Unsupervised Learning and Exploration of Reachable Outcome Space by Giuseppe Paolo et al
09-10-2019	Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization by Alireza Ghods et al
09-10-2019	Semantic Similarity Based Softmax Classifier for Zero-Shot Learning by Shabnam Daghaghi et al
09-11-2019	Safe Policy Improvement with an Estimated Baseline Policy by Thiago D. Simão et al
09-10-2019	Better Communication Complexity for Local SGD by Ahmed Khaled et al
09-10-2019	Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz 96 Model by David John Gagne et al
09-10-2019	FDA: Feature Disruptive Attack by Aditya Ganeshan et al
09-11-2019	Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data by Yuta Saito et al
09-11-2019	Learning to Propagate for Graph Meta-Learning by Lu Liu et al
09-13-2019	Say What I Want: Towards the Dark Side of Neural Dialogue Models by Haochen Liu et al
09-10-2019	A Meta-Learning Framework for Generalized Zero-Shot Learning by Vinay Kumar Verma et al
09-11-2019	Few-Shot Classification on Unseen Domains by Learning Disparate Modulators by Yongseok Choi et al
09-13-2019	Flow Models for Arbitrary Conditional Likelihoods by Yang Li et al
09-10-2019	A Study of Deep Learning for Network Traffic Data Forecasting by Benedikt Pfülb et al
09-12-2019	Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds by Xiaocheng Li et al
09-13-2019	Scene Graph Parsing by Attention Graph by Martin Andrews et al
09-13-2019	White-Box Adversarial Defense via Self-Supervised Data Estimation by Zudi Lin et al
09-10-2019	Multimodal Embeddings from Language Models by Shao-Yen Tseng et al
09-10-2019	MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning by Bohan Wu et al
09-12-2019	The Randomized Midpoint Method for Log-Concave Sampling by Ruoqi Shen et al
09-11-2019	Deep Elastic Networks with Model Selection for Multi-Task Learning by Chanho Ahn et al
09-13-2019	ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off by Lucas Cassano et al
09-11-2019	An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing by Yang Zhang et al
09-10-2019	Hybrid Cascaded Neural Network for Liver Lesion Segmentation by Raunak Dey et al
09-11-2019	Multi-Year Vector Dynamic Time Warping Based Crop Mapping by Mustafa Teke et al
09-10-2019	Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks by Xianglei Xing et al
09-13-2019	A superpixel-driven deep learning approach for the analysis of dermatological wounds by Gustavo Blanco et al
09-10-2019	The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews by Bernhard Lutz et al
09-11-2019	LazyBum: Decision tree learning using lazy propositionalization by Jonas Schouterden et al
09-13-2019	Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices by Vincent S. Chen et al
09-10-2019	An Implicit Form of Krasulinas k-PCA Update without the Orthonormality Constraint by Ehsan Amid et al
09-11-2019	Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony by Amrit Singh Bedi et al
09-11-2019	How to detect novelty in textual data streams? A comparative study of existing methods by Clément Christophe et al
09-13-2019	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs by Jonas Kubilius et al
09-11-2019	DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation by Kun Zhang et al
09-10-2019	Global Locality in Event Extraction by Elaheh ShafieiBavani et al
09-10-2019	Neural Embedding Allocation: Distributed Representations of Topic Models by Kamrun Naher Keya et al
09-11-2019	Recognizing Variables from their Data via Deep Embeddings of Distributions by Jonas Mueller et al
09-11-2019	Sparse and Imperceivable Adversarial Attacks by Francesco Croce et al
09-13-2019	ρρ-VAE: Autoregressive parametrization of the VAE encoder by Sohrab Ferdowsi et al
09-11-2019	Group Representation Theory for Knowledge Graph Embedding by Chen Cai
09-10-2019	Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes by Changqing Xu et al
09-10-2019	Optimality of the Subgradient Algorithm in the Stochastic Setting by Daron Anderson et al
09-13-2019	DARTS+: Improved Differentiable Architecture Search with Early Stopping by Hanwen Liang et al
09-10-2019	Gradient Descent with Compressed Iterates by Ahmed Khaled et al
09-10-2019	Deep Learning for Automated Classification and Characterization of Amorphous Materials by Kirk Swanson et al
09-10-2019	Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection by Byunggill Joe et al
09-10-2019	Bayesian Relational Memory for Semantic Visual Navigation by Yi Wu et al
09-11-2019	Optimal Machine Intelligence Near the Edge of Chaos by Ling Feng et al
09-11-2019	Generalized Policy Iteration for Optimal Control in Continuous Time by Jingliang Duan et al
09-12-2019	Analyzing machine-learned representations: A natural language case study by Ishita Dasgupta et al
09-11-2019	The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication by Sebastian U. Stich et al
09-11-2019	Automated Spectral Kernel Learning by Jian Li et al
09-12-2019	Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies by Mohammad Pirhooshyaran et al
09-11-2019	On weighted uncertainty sampling in active learning by Vinay Jethava
09-12-2019	Differentially Private Meta-Learning by Jeffrey Li et al
09-10-2019	Effectiveness of Adversarial Examples and Defenses for Malware Classification by Robert Podschwadt et al
09-13-2019	LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory by Neema Davis et al
09-13-2019	DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters by Yanghua Peng et al
09-12-2019	Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses by Rodney LaLonde et al
09-12-2019	Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes by Nathan Kallus et al
09-13-2019	Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data by Sergei Popov et al
09-10-2019	Towards Understanding the Importance of Shortcut Connections in Residual Networks by Tianyi Liu et al
09-11-2019	Learning-based Model Predictive Control for Smart Building Thermal Management by Roja Eini et al
09-10-2019	A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems by Hiroyuki Kido et al
09-13-2019	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification by Tzu-Ming Harry Hsu et al
09-12-2019	Finite Depth and Width Corrections to the Neural Tangent Kernel by Boris Hanin et al
09-13-2019	Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix by Chaomin Shen et al
09-11-2019	Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model by Anjuli Kannan et al
09-10-2019	NISER: Normalized Item and Session Representations with Graph Neural Networks by Priyanka Gupta et al
09-13-2019	HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints by Michael Lutter et al
09-11-2019	Structural Robustness for Deep Learning Architectures by Carlos Lassance et al
09-12-2019	GRESNET: Graph Residuals for Reviving Deep Graph Neural Nets from Suspended Animation by Jiawei Zhang

09-13-2019	Neural Architectures for Fine-Grained Propaganda Detection in News by Pankaj Gupta et al
09-10-2019	Prediction of Overall Survival of Brain Tumor Patients by Rupal Agravat et al
09-11-2019	Correcting Predictions for Approximate Bayesian Inference by Tomasz Kuśmierczyk et al
09-10-2019	Toward Finding The Global Optimal of Adversarial Examples by Zhenxin Xiao et al
09-11-2019	Regularized deep learning with a non-convex penalty by Sujit Vettam et al
09-12-2019	TF-Attention-Net: An End To End Neural Network For Singing Voice Separation by Tingle Li et al
09-12-2019	An Empirical Investigation of Randomized Defenses against Adversarial Attacks by Yannik Potdevin et al
09-11-2019	Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle by Michael Kaufmann et al
09-10-2019	GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs by Zhendong Zhang et al
09-13-2019	Deep Adversarial Belief Networks by Yuming Huang et al
09-10-2019	Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data by Dominik Linzner et al
09-11-2019	Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning by Arpan Kusari et al
09-12-2019	Coarse-scale PDEs from fine-scale observations via machine learning by Seungjoon Lee et al
09-10-2019	When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies by Zheyu Yan et al
09-13-2019	Neural Machine Translation with 4-Bit Precision and Beyond by Alham Fikri Aji et al
09-11-2019	Logarithmic Regret for Online Control by Naman Agarwal et al
09-12-2019	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking by Boyue Li et al
09-11-2019	Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks by Jiaxiang Tang et al
09-13-2019	A Knowledge Transfer Framework for Differentially Private Sparse Learning by Lingxiao Wang et al
09-10-2019	GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks by Ruud van Deursen et al
09-10-2019	A Machine Learning Method for Prediction of Multipath Channels by Julian Ahrens et al
09-10-2019	Discovery of Useful Questions as Auxiliary Tasks by Vivek Veeriah et al
09-10-2019	Countering Language Drift via Visual Grounding by Jason Lee et al
09-12-2019	SQLR: Short Term Memory Q-Learning for Elastic Provisioning by Constantine Ayimba et al
09-10-2019	Skin cancer detection based on deep learning and entropy to detect outlier samples by Andre G. C. Pacheco et al
09-11-2019	Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators by Jaime Carrasco et al
09-10-2019	Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls by Jose F Rodrigues-Jr et al
09-13-2019	AITuning: Machine Learning-based Tuning Tool for Run-Time Communication Libraries by Alessandro Fanfarillo et al
09-10-2019	Distributed Equivalent Substitution Training for Large-Scale Recommender Systems by Haidong Rong et al
09-12-2019	On the Hardness of Robust Classification by Pascale Gourdeau et al
09-13-2019	PubMedQA: A Dataset for Biomedical Research Question Answering by Qiao Jin et al
09-10-2019	Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study by Aixiu An et al
09-11-2019	Learning Vector-valued Functions with Local Rademacher Complexity by Jian Li et al
09-11-2019	Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data by Xiaozhe Gu et al
09-12-2019	Generating Data using Monte Carlo Dropout by Kristian Miok et al
09-10-2019	Differentiable Mask Pruning for Neural Networks by Ramchalam Kinattinkara Ramakrishnan et al
09-13-2019	Towards Open-Domain Named Entity Recognition via Neural Correction Models by Mengdi Zhu et al
09-11-2019	Factorized MultiClass Boosting by Igor E. Kuralenok et al
09-13-2019	Shallow Self-Learning for Reject Inference in Credit Scoring by Nikita Kozodoi et al
09-13-2019	Shapley Interpretation and Activation in Neural Networks by Yadong Li et al
09-10-2019	Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment by Sanzo Miyazawa
09-10-2019	Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference by M. Reza Heydari et al
09-12-2019	A Note on Posterior Probability Estimation for Classifiers by Georgi Nalbantov et al
09-12-2019	Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization by Thomas Beckers et al
09-10-2019	Spam filtering on forums: A synthetic oversampling based approach for imbalanced data classification by Pratik Ratadiya et al
09-11-2019	Goodness-of-fit tests on manifolds by Alexander Shapiro et al
09-13-2019	Fast Low-rank Metric Learning for Large-scale and High-dimensional Data by Han Liu et al
09-10-2019	Anomaly Detection with Inexact Labels by Tomoharu Iwata et al
09-12-2019	A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency by Anthony Bagnall et al
09-12-2019	Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits by Lingda Wang et al
09-12-2019	Style-aware Neural Model with Application in Authorship Attribution by Fereshteh Jafariakinabad et al
09-12-2019	Ensemble Learning based Convexification of Power Flow with Application in OPF by Ren Hu et al
09-10-2019	A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation by Gang Wang et al
09-11-2019	Implicit Regularization for Optimal Sparse Recovery by Tomas Vaškevičius et al
09-12-2019	Recurrent Connectivity Aids Recognition of Partly Occluded Objects by Markus Roland Ernst et al
09-13-2019	d-blink: Distributed End-to-End Bayesian Entity Resolution by Neil G. Marchant et al
09-11-2019	InceptionTime: Finding AlexNet for Time Series Classification by Hassan Ismail Fawaz et al
09-10-2019	Learning Priors for Adversarial Autoencoders by Hui-Po Wang et al
09-12-2019	Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios by Shilian Zheng et al
09-10-2019	The Prevalence of Errors in Machine Learning Experiments by Martin Shepperd et al
09-10-2019	Classifying the Valence of Autobiographical Memories from fMRI Data by Alex Frid et al
09-12-2019	A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting by Jiancheng Lyu et al
09-13-2019	IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings by Venkata Keerthy S et al
09-12-2019	Explicit-Duration Markov Switching Models by Silvia Chiappa
09-10-2019	Computer Assisted Composition in Continuous Time by Chamin Hewa Koneputugodage et al
09-12-2019	Transferable Adversarial Robustness using Adversarially Trained Autoencoders by Pratik Vaishnavi et al
09-12-2019	A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight by Alessandro Bruno et al
09-10-2019	Efficient nonmyopic Bayesian optimization and quadrature by Shali Jiang et al
09-12-2019	Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control by Sylvain Calinon et al
09-10-2019	Inverse Ising inference from high-temperature re-weighting of observations by Junghyo Jo et al
09-10-2019	Static Analysis for Probabilistic Programs by Ryan Bernstein
09-13-2019	Active learning for level set estimation under cost-dependent input uncertainty by Yu Inatsu et al
09-10-2019	TBT: Targeted Neural Network Attack with Bit Trojan by Adnan Siraj Rakin et al
09-11-2019	Practical Calculation of Gittins Indices for Multi-armed Bandits by James Edwards
09-13-2019	Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy by Hunter Gabbard et al
09-10-2019	Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning by Justin D Krogue et al
09-10-2019	Dropout Induced Noise for Co-Creative GAN Systems by Sabine Wieluch et al
09-10-2019	LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns by Kasun Bandara et al
09-12-2019	On Learning Nominal Automata with Binders by Yi Xiao et al
09-10-2019	Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach by Haibo Yang et al
09-11-2019	MPC-Net: A First Principles Guided Policy Search by Jan Carius et al
09-10-2019	Subspace clustering without knowing the number of clusters: A parameter free approach by Vishnu Menon et al
09-11-2019	Parallel fault-tolerant programming of an arbitrary feedforward photonic network by Sunil Pai et al
09-10-2019	Guided Learning Convolution System for DCASE 2019 Task 4 by Liwei Lin et al
09-10-2019	Automatic detection of estuarine dolphin whistles in spectrogram images by O. M. Serra et al
09-12-2019	Analysis of Regression Tree Fitting Algorithms in Learning to Rank by Tian Xia et al