2019.09.22 Learning papers

09-19-2019	Making the Invisible Visible: Action Recognition Through Walls and Occlusions by Tianhong Li et al
09-17-2019	Stacking Models for Nearly Optimal Link Prediction in Complex Networks by Amir Ghasemian et al
09-17-2019	Ludwig: a type-based declarative deep learning toolbox by Piero Molino et al
09-18-2019	DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning by Vassilios Tsounis et al
09-18-2019	Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach by Kuruparan Shanmugalingam et al
09-19-2019	Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories by Jan-Nico Zaech et al
09-19-2019	Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder by Li Du et al
09-17-2019	Do NLP Models Know Numbers? Probing Numeracy in Embeddings by Eric Wallace et al
09-18-2019	Enriching BERT with Knowledge Graph Embeddings for Document Classification by Malte Ostendorff et al
09-18-2019	Do We Need Neural Models to Explain Human Judgments of Acceptability? by Wang Jing et al
09-20-2019	MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection by Harsh Purohit et al
09-18-2019	Large e-retailer image dataset for visual search and product classification by Arnaud Bellétoile
09-18-2019	Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes by Noémien Kocher et al
09-17-2019	Ensemble Knowledge Distillation for Learning Improved and Efficient Networks by Umar Asif et al
09-17-2019	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review by Han Xu et al
09-19-2019	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models by Vincent Le Guen et al
09-19-2019	Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks by Sekitoshi Kanai et al
09-18-2019	Transfer Learning using CNN for Handwritten Devanagari Character Recognition by Nagender Aneja et al
09-18-2019	Statistical and machine learning ensemble modelling to forecast sea surface temperature by Stefan Wolff et al
09-18-2019	CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots by Arshit Gupta et al
09-18-2019	Learning from Bandit Feedback: An Overview of the State-of-the-art by Olivier Jeunen et al
09-19-2019	Training Robust Deep Neural Networks via Adversarial Noise Propagation by Aishan Liu et al
09-19-2019	Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering by Arindam Mitra et al
09-17-2019	Revealing the Importance of Semantic Retrieval for Machine Reading at Scale by Yixin Nie et al
09-17-2019	Dynamics of Deep Neural Networks and Neural Tangent Hierarchy by Jiaoyang Huang et al
09-19-2019	Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor by Hans Meine et al
09-19-2019	How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? by W. Cannon Lewis et al
09-19-2019	InterpretML: A Unified Framework for Machine Learning Interpretability by Harsha Nori et al
09-18-2019	Summary Level Training of Sentence Rewriting for Abstractive Summarization by Sanghwan Bae et al
09-18-2019	Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans by Michał Marcinkiewicz et al
09-17-2019	Heterogeneity-Aware Asynchronous Decentralized Training by Qinyi Luo et al
09-18-2019	Class Feature Pyramids for Video Explanation by Alexandros Stergiou et al
09-19-2019	Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control by Peixin Chang et al
09-18-2019	Fine-Tuning Language Models from Human Preferences by Daniel M. Ziegler et al
09-19-2019	Self-Training for End-to-End Speech Recognition by Jacob Kahn et al
09-17-2019	Relaxed Softmax for learning from Positive and Unlabeled data by Ugo Tanielian et al
09-17-2019	Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks by Zhonghui You et al
09-20-2019	A Critical Analysis of Biased Parsers in Unsupervised Parsing by Chris Dyer et al
09-17-2019	Inverse Visual Question Answering with Multi-Level Attentions by Yaser Alwatter et al
09-18-2019	Memory-Augmented Neural Networks for Machine Translation by Mark Collier et al
09-18-2019	Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech by William N. Havard et al
09-17-2019	The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory by Luke Merrick et al
09-17-2019	Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning by Jacob Deasy et al
09-18-2019	DAOC: Stable Clustering of Large Networks by Artem Lutov et al
09-17-2019	Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis by Minlong Peng et al
09-19-2019	Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation by David Watkins-Valls et al
09-17-2019	K-BERT: Enabling Language Representation with Knowledge Graph by Weijie Liu et al
09-18-2019	Distributed Machine Learning on Mobile Devices: A Survey by Renjie Gu et al
09-18-2019	A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning by Juan Cruz Barsce et al
09-19-2019	ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking by Pratyay Banerjee
09-18-2019	Agent Prioritization for Autonomous Navigation by Khaled S. Refaat et al
09-19-2019	Learning Sparse Mixture of Experts for Visual Question Answering by Vardaan Pahuja et al
09-17-2019	A Distributed Fair Machine Learning Framework with Private Demographic Data Protection by Hui Hu et al
09-20-2019	Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages by Yunsu Kim et al
09-18-2019	Voting with Random Classifiers (VORACE) by Cristina Cornelio et al
09-18-2019	NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images by Pedro Machado et al
09-17-2019	Learning to Generate Questions with Adaptive Copying Neural Networks by Xinyuan Lu et al
09-18-2019	Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks by Hao Ren et al
09-18-2019	Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data by Herbert Gish et al
09-18-2019	Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models by Farhad Shakerin
09-17-2019	Graph Nets for Partial Charge Prediction by Yuanqing Wang et al
09-20-2019	Genetic Neural Architecture Search for automatic assessment of human sperm images by Erfan Miahi et al
09-17-2019	!MDP Playground: Meta-Features in Reinforcement Learning by Raghu Rajan et al
09-19-2019	Explaining Visual Models by Causal Attribution by Álvaro Parafita et al
09-17-2019	Split Deep Q-Learning for Robust Object Singulation by Iason Sarantopoulos et al
09-18-2019	Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition by Tejo Chalasani et al
09-18-2019	BPMR: Bayesian Probabilistic Multivariate Ranking by Nan Wang et al
09-19-2019	Adversarial Vulnerability Bounds for Gaussian Process Classification by Michael Thomas Smith et al
09-17-2019	Multi Sense Embeddings from Topic Models by Shobhit Jain et al
09-18-2019	Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems by Daniel Ramos et al
09-18-2019	Causal Modeling for Fairness in Dynamical Systems by Elliot Creager et al
09-18-2019	Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant by Deepak Muralidharan et al
09-20-2019	Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval by Konstantin Schall et al
09-17-2019	MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization by Tomaso Fontanini et al
09-19-2019	Revisit Policy Optimization in Matrix Form by Sitao Luan et al
09-18-2019	Towards Ethical Machines Via Logic Programming by Abeer Dyoub et al
09-19-2019	Named Entity Recognition with Partially Annotated Training Data by Stephen Mayhew et al
09-18-2019	Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games by Macheng Shen et al
09-19-2019	Towards Neural Language Evaluators by Hassan Kané et al
09-18-2019	BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion by Ariyam Das et al
09-18-2019	A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text by Gaurav Verma et al
09-17-2019	Identity-Aware Deep Face Hallucination via Adversarial Face Verification by Hadi Kazemi et al
09-17-2019	Transfer Learning with Dynamic Adversarial Adaptation Network by Chaohui Yu et al
09-17-2019	Predicting Electricity Consumption using Deep Recurrent Neural Networks by Anupiya Nugaliyadde et al
09-17-2019	Span-based Joint Entity and Relation Extraction with Transformer Pre-training by Markus Eberts et al
09-20-2019	Brain Tumor Segmentation and Survival Prediction by Rupal Agravat et al
09-17-2019	Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection by Amirhossein Khalilian-Gourtani et al
09-19-2019	Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice by Moshe Hanukoglu et al
09-18-2019	A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming by Daoming Lyu et al
09-17-2019	Two Computational Models for Analyzing Political Attention in Social Media by Libby Hemphill et al
09-20-2019	Understanding Architectures Learnt by Cell-based Neural Architecture Search by Yao Shu et al
09-17-2019	Decision-Directed Data Decomposition by Brent D. Davis et al
09-18-2019	k-Relevance Vectors for Pattern Classification by Peyman Hosseinzadeh Kassani et al
09-19-2019	Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold by Babak Hosseini et al
09-17-2019	BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration by Omid Shams Solari et al
09-17-2019	Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning by Yipeng Sun et al
09-19-2019	Automobile Theft Detection by Clustering Owner Driver Data by Yong Goo Kang et al
09-17-2019	Spherical View Synthesis for Self-Supervised 360 Depth Estimation by Nikolaos Zioulis et al
09-18-2019	RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems by Jan Toenshoff et al
09-20-2019	Sampling Bias in Deep Active Classification: An Empirical Study by Ameya Prabhu et al
09-18-2019	Generalized Resilience and Robust Statistics by Banghua Zhu et al
09-17-2019	Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction by Wei-Hung Weng et al
09-18-2019	Distance Geometry and Data Science by Leo Liberti
09-18-2019	Simple, Scalable Adaptation for Neural Machine Translation by Ankur Bapna et al
09-19-2019	BERT Meets Chinese Word Segmentation by Haiqin Yang
09-20-2019	A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels by Yucen Luo et al
09-17-2019	Learning to Manipulate Object Collections Using Grounded State Representations by Matthew Wilson et al
09-17-2019	Renyi Differentially Private ADMM Based L1 Regularized Classification by Chen Chen et al
09-20-2019	On the Convergence of Approximate and Regularized Policy Iteration Schemes by Elena Smirnova et al
09-18-2019	Dual Adversarial Co-Learning for Multi-Domain Text Classification by Yuan Wu et al
09-17-2019	PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification by Yueru Chen et al
09-20-2019	Defending Against Physically Realizable Attacks on Image Classification by Tong Wu et al
09-19-2019	Graph Neural Networks for Human-aware Social Navigation by Luis J. Manso et al
09-20-2019	Reconnaissance and Planning algorithm for constrained MDP by Shin-ichi Maeda et al
09-17-2019	Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model by Prashanth Vijayaraghavan et al
09-17-2019	Properties of Laplacian Pyramids for Extension and Denoising by William Leeb
09-17-2019	Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation by Boris Chidlovskii
09-17-2019	Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning by Bosung Seo et al
09-17-2019	A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery by Guillaume Labbe-Morissette et al
09-17-2019	Compositional uncertainty in deep Gaussian processes by Ivan Ustyuzhaninov et al
09-17-2019	Conformal Prediction based Spectral Clustering by Lalith Srikanth Chintalapati et al
09-20-2019	Creative GANs for generating poems, lyrics, and metaphors by Asir Saeed et al
09-19-2019	Machine Learning for Clinical Predictive Analytics by Wei-Hung Weng
09-19-2019	DeepView: Visualizing the behavior of deep neural networks in a part of the data space by Alexander Schulz et al
09-17-2019	Adversarial Feature Training for Generalizable Robotic Visuomotor Control by Xi Chen et al
09-18-2019	Sample Efficient Policy Gradient Methods with Recursive Variance Reduction by Pan Xu et al
09-19-2019	AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models by Eric Wallace et al
09-19-2019	HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities by Devanshu Arya et al
09-17-2019	ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT by Yipeng Sun et al
09-17-2019	Single-shot 3D shape reconstruction using deep convolutional neural networks by Hieu Nguyen et al
09-18-2019	Laplacian Matrix for Dimensionality Reduction and Clustering by Laurenz Wiskott et al
09-20-2019	A Multi-level procedure for enhancing accuracy of machine learning algorithms by Kjetil O. Lye et al
09-19-2019	Weighted Linear Bandits for Non-Stationary Environments by Yoan Russac et al
09-18-2019	Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer by Mohammed Zubair M. Shamim et al
09-18-2019	CrackGAN: A Labor-Light Crack Detection Approach Using Industrial Pavement Images Based on Generative Adversarial Learning by Kaige Zhang et al
09-18-2019	Data Mapping for Restricted Boltzmann Machine by Jiangsheng You
09-18-2019	Uncovering Sociological Effect Heterogeneity using Machine Learning by Jennie E. Brand et al
09-20-2019	Meta-Inverse Reinforcement Learning with Probabilistic Context Variables by Lantao Yu et al
09-17-2019	Efficient Transfer Bayesian Optimization with Auxiliary Information by Tomoharu Iwata et al
09-18-2019	No-Regret Learning in Unknown Games with Correlated Payoffs by Pier Giuseppe Sessa et al
09-19-2019	Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data by Zhuoxun He et al
09-19-2019	Differentially Private Regression and Classification with Sparse Gaussian Processes by Michael Thomas Smith et al
09-18-2019	Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment by Jingyang Zhang et al
09-20-2019	FACE: Feasible and Actionable Counterfactual Explanations by Rafael Poyiadzi et al
09-20-2019	Deep Metric Learning using Similarities from Nonlinear Rank Approximations by Konstantin Schall et al
09-18-2019	Advancing subgroup fairness via sleeping experts by Avrim Blum et al
09-17-2019	Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation by Naif Alshammari et al
09-19-2019	Representation Learning for Electronic Health Records by Wei-Hung Weng et al
09-17-2019	A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving by Florin Leon et al
09-18-2019	Deep Model Reference Adaptive Control by Girish Joshi et al
09-17-2019	Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning by Helena Lee et al
09-19-2019	Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation by Jihyeun Yoon et al
09-19-2019	Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning by Adrien Bennetot et al
09-19-2019	Learning Optimal and Near-Optimal Lexicographic Preference Lists by Ahmed Moussa et al
09-17-2019	Refined αα-Divergence Variational Inference via Rejection Sampling by Rahul Sharma et al

09-17-2019	Communication-Efficient Weighted Sampling and Quantile Summary for GBDT by Ziyue Huang et al
09-19-2019	Neural Network-Assisted Nonlinear Multiview Component Analysis: Identifiability and Algorithm by Qi Lyu et al
09-20-2019	Bayesian Optimization for Iterative Learning by Vu Nguyen et al
09-17-2019	K-TanH: Hardware Efficient Activations For Deep Learning by Abhisek Kundu et al
09-17-2019	sktime: A Unified Interface for Machine Learning with Time Series by Markus Löning et al
09-17-2019	Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links by Abdelkerim Amari et al
09-18-2019	Bayesian Optimisation with Gaussian Processes for Premise Selection by Agnieszka Słowik et al
09-19-2019	Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks by Denis Kleyko et al
09-19-2019	Timage -- A Robust Time Series Classification Pipeline by Marc Wenninger et al
09-18-2019	Detailed comparison of communication efficiency of split learning and federated learning by Abhishek Singh et al
09-18-2019	Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models by Romit Maulik et al
09-18-2019	Meta-Neighborhoods by Siyuan Shan et al
09-18-2019	Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity by Ethan Manilow et al
09-19-2019	Gradient Boost with Convolution Neural Network for Stock Forecast by Jialin Liu et al
09-18-2019	A Study on Binary Neural Networks Initialization by Eyyüb Sari et al
09-17-2019	Prediction of rare feature combinations in population synthesis: Application of deep generative modelling by Sergio Garrido et al
09-17-2019	Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients by Jun Sun et al
09-20-2019	Trivializations for Gradient-Based Optimization on Manifolds by Mario Lezcano-Casado
09-20-2019	CodeSearchNet Challenge: Evaluating the State of Semantic Code Search by Hamel Husain et al
09-17-2019	Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel by Xinliang Zhang et al
09-18-2019	ModelicaGym: Applying Reinforcement Learning to Modelica Models by Oleh Lukianykhin et al
09-19-2019	Comparing distributions: ℓ1ℓ1 geometry improves kernel two-sample testing by M. Scetbon et al
09-17-2019	Sparse Canonical Correlation Analysis via Concave Minimization by Omid S. Solari et al
09-17-2019	Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting by Zhetong Dong et al
09-20-2019	From feature selection to continues optimization by Hojjat Rakhshani et al
09-19-2019	Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias by Asma Ghandeharioun et al
09-17-2019	Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving by Juncheng Shen et al
09-20-2019	Redirection Controller Using Reinforcement Learning by Yuchen Chang et al
09-18-2019	Value function estimation in Markov reward processes: Instance-dependent ℓ∞ℓ∞-bounds for policy evaluation by Ashwin Pananjady et al
09-18-2019	Bias In, Bias Out? Evaluating the Folk Wisdom by Ashesh Rambachan et al
09-19-2019	A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof by Frank Nielsen et al
09-17-2019	AdaFair: Cumulative Fairness Adaptive Boosting by Vasileios Iosifidis et al
09-17-2019	Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery by Rubin Jose Peter et al
09-18-2019	Scalable Deep Unsupervised Clustering with Concrete GMVAEs by Mark Collier et al
09-19-2019	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML by Aniruddh Raghu et al
09-17-2019	A scalable noisy speech dataset and online subjective test framework by Chandan K. A. Reddy et al
09-20-2019	On Recovering Latent Factors From Sampling And Firing Graph by Pierre Gouedard
09-20-2019	A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI by Saman Motamed et al
09-19-2019	Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions by Hesham Al-Bataineh et al
09-19-2019	Synthesis of Realistic ECG using Generative Adversarial Networks by Anne Marie Delaney et al
09-19-2019	A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation by Xiaoming Li et al
09-18-2019	On Efficient Multilevel Clustering via Wasserstein Distances by Viet Huynh et al
09-17-2019	Walling up Backdoors in Intrusion Detection Systems by Maximilian Bachl et al
09-18-2019	Learning Discrepancy Models From Experimental Data by Kadierdan Kaheman et al
09-17-2019	Network entity characterization and attack prediction by Vaclav Bartos et al
09-20-2019	Does SLOPE outperform bridge regression? by Shuaiwen Wang et al
09-19-2019	Kinetic Song Comprehension: Deciphering Personal Listening Habits via Phone Vibrations by Richard Matovu et al
09-17-2019	DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding by Hyungro Lee et al
09-18-2019	Language models and Automated Essay Scoring by Pedro Uria Rodriguez et al
09-19-2019	Detecting malicious logins as graph anomalies by Brian A. Powell
09-17-2019	Algorithm for Training Neural Networks on Resistive Device Arrays by Tayfun Gokmen et al
09-20-2019	Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions by Konstantinos E. Nikolakakis et al
09-17-2019	Measure Contribution of Participants in Federated Learning by Guan Wang et al
09-17-2019	Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges by Jinyuan Jia et al
09-17-2019	BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation by Iftitahu Ni'mah et al
09-20-2019	Computing Full Conformal Prediction Set with Approximate Homotopy by Eugene Ndiaye et al
09-17-2019	Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions by Yue Liu et al
09-19-2019	Physics-informed semantic inpainting: Application to geostatistical modeling by Qiang Zheng et al
09-17-2019	ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering by Abhijit Suprem et al
09-19-2019	MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design by Ziyao Zhang et al
09-17-2019	Variational Bayesian Context-aware Representation for Grocery Recommendation by Zaiqiao Meng et al
09-19-2019	WEnets: A Convolutional Framework for Evaluating Audio Waveforms by Andrew A. Catellier et al
09-17-2019	A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease by Sayan Putatunda
09-20-2019	Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction by Shigehiko Schamoni et al
09-17-2019	Ranking metrics on non-shuffled traffic by Alexandre Gilotte
09-18-2019	Application of Clustering Analysis for Investigation of Food Accessibility by Rahul Srinivas Sucharitha et al
09-17-2019	Global Optimal Path-Based Clustering Algorithm by Qidong Liu et al
09-17-2019	Quantum algorithm for finding the negative curvature direction in non-convex optimization by Kaining Zhang et al
09-17-2019	Visualizing Movement Control Optimization Landscapes by Perttu Hämäläinen et al
09-17-2019	Distributed Function Minimization in Apache Spark by Andrea Schioppa