2019.05.19 Learning papers

05-16-2019	Deep Compressed Sensing by Yan Wu et al
05-16-2019	On Variational Bounds of Mutual Information by Ben Poole et al
05-14-2019	Machine Learning at Microsoft with ML .NET by Zeeshan Ahmed et al
05-14-2019	Deep Gaussian Processes with Importance-Weighted Variational Inference by Hugh Salimbeni et al
05-14-2019	Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks by Guangyong Chen et al
05-17-2019	Integer Discrete Flows and Lossless Compression by Emiel Hoogeboom et al
05-15-2019	Behavior Sequence Transformer for E-commerce Recommendation in Alibaba by Qiwei Chen et al
05-17-2019	Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative by Shunsuke Kitada et al
05-15-2019	Number-State Preserving Tensor Networks as Classifiers for Supervised Learning by Glen Evenbly
05-14-2019	EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis by Chaoqi Wang et al
05-15-2019	Meta reinforcement learning as task inference by Jan Humplik et al
05-14-2019	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment by Chen Huang et al
05-14-2019	Learning What and Where to Transfer by Yunhun Jang et al
05-15-2019	Distribution Calibration for Regression by Hao Song et al
05-14-2019	Zero-Shot Voice Style Transfer with Only Autoencoder Loss by Kaizhi Qian et al
05-14-2019	Nonlinear Semi-Parametric Models for Survival Analysis by Chirag Nagpal et al
05-15-2019	Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach by Wenyuan Li et al
05-14-2019	Misleading Failures of Partial-input Baselines by Shi Feng et al
05-14-2019	Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models by Michael Oberst et al
05-15-2019	Demographic Inference and Representative Population Estimates from Multilingual Social Media Data by Zijian Wang et al
05-16-2019	Joint Learning of Neural Networks via Iterative Reweighted Least Squares by Zaiwei Zhang et al
05-15-2019	The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions by Raj Agrawal et al
05-14-2019	Expression Conditional GAN for Facial Expression-to-Expression Translation by Hao Tang et al
05-15-2019	Controlled CNN-based Sequence Labeling for Aspect Extraction by Lei Shu et al
05-15-2019	Dynamic Neural Network Channel Execution for Efficient Training by Simeon E. Spasov et al
05-15-2019	From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices by Jessica Morley et al
05-15-2019	IPC: A Benchmark Data Set for Learning with Graph-Structured Data by Patrick Ferber et al
05-14-2019	Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach by Shaeke Salman et al
05-16-2019	On Conditioning GANs to Hierarchical Ontologies by Hamid Eghbal-zadeh et al
05-15-2019	Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction by Lingbo Liu et al
05-14-2019	Orthogonal Deep Neural Networks by Kui Jia et al
05-16-2019	AlgoNet: C∞C∞ Smooth Algorithmic Neural Networks by Felix Petersen et al
05-15-2019	Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression by Anish Lahiri et al
05-14-2019	Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates by Dennis J. N. J. Soemers et al
05-14-2019	DeepFlow: History Matching in the Space of Deep Generative Models by Lukas Mosser et al
05-14-2019	Robust Neural Network Training using Periodic Sampling over Model Weights by Samarth Tripathi et al
05-14-2019	Graph Convolutional Gaussian Processes by Ian Walker et al
05-14-2019	Correlating neural and symbolic representations of language by Grzegorz Chrupała et al
05-15-2019	ReshapeGAN: Object Reshaping by Providing A Single Reference Image by Ziqiang Zheng et al
05-17-2019	Distant Learning for Entity Linking with Automatic Noise Detection by Phong Le et al
05-17-2019	Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem by Christian Schroeder de Witt et al
05-15-2019	Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels by Sebastian Guendel et al
05-15-2019	A general-purpose deep learning approach to model time-varying audio effects by Marco A. Martinez Ramirez et al
05-14-2019	Kernel Mean Matching for Content Addressability of GANs by Wittawat Jitkrittum et al
05-16-2019	An Information Theoretic Interpretation to Deep Neural Networks by Shao-Lun Huang et al
05-14-2019	Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules by Daniel Ho et al
05-15-2019	TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features by Mohsin Munir et al
05-15-2019	Autonomous Penetration Testing using Reinforcement Learning by Jonathon Schwartz et al
05-16-2019	Dream Distillation: A Data-Independent Model Compression Framework by Kartikeya Bhardwaj et al
05-16-2019	Inferring Javascript types using Graph Neural Networks by Jessica Schrouff et al
05-14-2019	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning by Kyunghwan Son et al
05-14-2019	Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function by Arvind U. Raghunathan et al
05-17-2019	Simple Black-box Adversarial Attacks by Chuan Guo et al
05-14-2019	Modelling urban networks using Variational Autoencoders by Kira Kempinska et al
05-15-2019	Spectral Clustering of Signed Graphs via Matrix Power Means by Pedro Mercado et al
05-16-2019	A Simple Dual-decoder Model for Generating Response with Sentiment by Xiuyu Wu et al
05-16-2019	STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction by Hongnian Wang et al
05-14-2019	LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning by Huaiyu Li et al
05-14-2019	Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization by Binyamin Manela et al
05-16-2019	HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization by Xingxing Zhang et al
05-16-2019	Latent Universal Task-Specific BERT by Alon Rozental et al
05-16-2019	Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization by Seungyong Moon et al
05-15-2019	Synthesis of Provably Correct Autonomy Protocols for Shared Control by Murat Cubuktepe et al
05-16-2019	Mastering the Game of Sungka from Random Play by Darwin Bautista et al
05-17-2019	POPQORN: Quantifying Robustness of Recurrent Neural Networks by Ching-Yun Ko et al
05-16-2019	Fairness in Machine Learning with Tractable Models by Michael Varley et al
05-15-2019	Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel kk-means Clustering by Manuel Fernandez et al
05-15-2019	Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL by Corey Lammie et al
05-14-2019	Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization by Guanghui Wang et al
05-15-2019	GMNN: Graph Markov Neural Networks by Meng Qu et al
05-17-2019	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning by Manan Tomar et al
05-17-2019	Stochastically Dominant Distributional Reinforcement Learning by John D. Martin et al
05-16-2019	Meta Reinforcement Learning with Task Embedding and Shared Policy by Lin Lan et al
05-14-2019	Online Normalization for Training Neural Networks by Vitaliy Chiley et al
05-17-2019	Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks by Shota Harada et al
05-14-2019	Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods by Weimin Zhou et al
05-16-2019	Non-Parametric Priors For Generative Adversarial Networks by Rajhans Singh et al
05-15-2019	Data Poisoning Attacks on Stochastic Bandits by Fang Liu et al
05-16-2019	Joint Source-Target Self Attention with Locality Constraints by José A. R. Fonollosa et al
05-15-2019	On Norm-Agnostic Robustness of Adversarial Training by Bai Li et al
05-15-2019	A Human-Centered Approach to Interactive Machine Learning by Kory W. Mathewson
05-14-2019	LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs by Lei Chu et al
05-14-2019	Deep Reinforcement Learning for Scheduling in Cellular Networks by Jian Wang et al
05-15-2019	Classification via an Embedded Approach by Jose de Jesus Rubio et al
05-14-2019	A Learning based Branch and Bound for Maximum Common Subgraph Problems by Yan-li Liu et al
05-15-2019	Simitate: A Hybrid Imitation Learning Benchmark by Raphael Memmesheimer et al
05-16-2019	Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation by Ruohan Wang et al
05-15-2019	Human Motion Trajectory Prediction: A Survey by Andrey Rudenko et al
05-17-2019	An Essay on Optimization Mystery of Deep Learning by Eugene Golikov
05-16-2019	MoGlow: Probabilistic and controllable motion synthesis using normalising flows by Gustav Eje Henter et al
05-16-2019	Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation by Federico A. Galatolo et al
05-17-2019	A critique of the DeepSec Platform for Security Analysis of Deep Learning Models by Nicholas Carlini
05-16-2019	Scalable Graph Embeddings via Sparse Transpose Proximities by Yuan Yin et al
05-17-2019	TBQ(σσ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning by Longxiang Shi et al
05-14-2019	Combining Parametric and Nonparametric Models for Off-Policy Evaluation by Omer Gottesman et al
05-14-2019	Online Anomaly Detection with Sparse Gaussian Processes by Jingjing Fei et al
05-15-2019	Neural Query Language: A Knowledge Base Query Language for Tensorflow by William W. Cohen et al
05-15-2019	Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards by Wang Chi Cheung
05-15-2019	SMART: Semantic Malware Attribute Relevance Tagging by Felipe N. Ducau et al
05-17-2019	Dont Blame Distributional Semantics if it cant do Entailment by Matthijs Westera et al
05-14-2019	Variational Regret Bounds for Reinforcement Learning by Pratik Gajane et al
05-14-2019	Multilingual Factor Analysis by Francisco Vargas et al
05-14-2019	Supervised Learning of the Next-Best-View for 3D Object Reconstruction by Miguel Mendoza et al
05-16-2019	TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning by Sung Whan Yoon et al
05-14-2019	Transferable Clean-Label Poisoning Attacks on Deep Neural Nets by Chen Zhu et al
05-16-2019	Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing by Siddharth Siddharth et al
05-15-2019	Information criteria for non-normalized models by Takeru Matsuda et al
05-15-2019	FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine by Junlin Zhang et al
05-16-2019	Efficient Deep Gaussian Process Models for Variable-Sized Input by Issam H. Laradji et al
05-15-2019	Additive Adversarial Learning for Unbiased Authentication by Jian Liang et al
05-14-2019	Atom Responding Machine for Dialog Generation by Ganbin Zhou et al
05-14-2019	Trajectory-Based Off-Policy Deep Reinforcement Learning by Andreas Doerr et al
05-14-2019	Sparse Sequence-to-Sequence Models by Ben Peters et al
05-16-2019	The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA by Luigi Gresele et al
05-14-2019	Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies by Yunsu Kim et al
05-17-2019	LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving by Ahmad El Sallab et al
05-14-2019	A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems by David Laredo et al
05-14-2019	Revisiting Precision and Recall Definition for Generative Model Evaluation by Loïc Simon et al
05-14-2019	Learning 3D Human Body Embedding by Boyi Jiang et al
05-17-2019	Reference-Based Sequence Classification by Zengyou He et al
05-16-2019	Stability of Linear Structural Equation Models of Causal Inference by Karthik Abinav Sankararaman et al
05-14-2019	Data Markets to support AI for All: Pricing, Valuation and Governance by Ramesh Raskar et al
05-14-2019	Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems by Fei Mi et al
05-16-2019	KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks by Donghyeon Park et al
05-14-2019	Stochastic Blockmodels meet Graph Neural Networks by Nikhil Mehta et al
05-14-2019	ActiveHNE: Active Heterogeneous Network Embedding by Xia Chen et al
05-16-2019	Efficient Optimization of Loops and Limits with Randomized Telescoping Sums by Alex Beatson et al
05-16-2019	Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables by Friso H. Kingma et al
05-15-2019	Automatic Model Selection for Neural Networks by David Laredo et al
05-15-2019	Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots by Shounak Bhattacharya et al
05-14-2019	Moment-Based Variational Inference for Markov Jump Processes by Christian Wildner et al
05-15-2019	Cluster, Classify, Regress: A General Method For Learning Discountinous Functions by David E. Bernholdt et al
05-16-2019	Sliced Score Matching: A Scalable Approach to Density and Score Estimation by Yang Song et al
05-16-2019	Adaptive Sensor Placement for Continuous Spaces by James A Grant et al
05-16-2019	Fooling Computer Vision into Inferring the Wrong Body Mass Index by Owen Levin et al
05-15-2019	ncRNA Classification with Graph Convolutional Networks by Emanuele Rossi et al
05-17-2019	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces by Philipp Becker et al
05-14-2019	Resource-aware Elastic Swap Random Forest for Evolving Data Streams by Diego Marrón et al
05-15-2019	Embeddings and Representation Learning for Structured Data by Benjamin Paaßen et al
05-15-2019	BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading by Ziyuan Zhao et al
05-14-2019	Imputing Missing Events in Continuous-Time Event Streams by Hongyuan Mei et al
05-16-2019	Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields by Tom Hanika et al
05-14-2019	TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture by Gorker Alp Malazgirt et al
05-16-2019	Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection by Adarsh Kyadige et al
05-15-2019	DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression by Hanlin Tang et al
05-14-2019	Efficient hinging hyperplanes neural network and its application in nonlinear system identification by Jun Xu et al
05-17-2019	Contrastive Fairness in Machine Learning by Tapabrata Chakraborti et al
05-14-2019	Sample Efficient Toeplitz Covariance Estimation by Yonina C. Eldar et al
05-15-2019	Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces by Andrew Stanton et al

05-15-2019	Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions by Tim Pearce et al
05-17-2019	EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices by Mario Almeida et al
05-15-2019	Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction by Narendra Patwardhan et al
05-17-2019	Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects by Zoe Guan et al
05-14-2019	List-Decodable Linear Regression by Sushrut Karmalkar et al
05-14-2019	Task-Driven Data Verification via Gradient Descent by Siavash Golkar et al
05-14-2019	Learning Generative Models across Incomparable Spaces by Charlotte Bunne et al
05-17-2019	DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence by Edvinas Byla et al
05-15-2019	Budget-Aware Adapters for Multi-Domain Learning by Rodrigo Berriel et al
05-14-2019	Planted Hitting Set Recovery in Hypergraphs by Ilya Amburg et al
05-15-2019	Survival of the Fittest in PlayerUnknown BattleGround by Brij Rokad et al
05-17-2019	Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks by Naoya Yoshida et al
05-16-2019	Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series by Zahra Ebrahimzadeh et al
05-17-2019	Weakly-Supervised Temporal Localization via Occurrence Count Learning by Julien Schroeter et al
05-16-2019	Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems by Mohamad Kazem Shirani Faradonbeh et al
05-14-2019	Deep Neural Architecture Search with Deep Graph Bayesian Optimization by Lizheng Ma et al
05-14-2019	A self-organising eigenspace map for time series clustering by Donya Rahmani et al
05-14-2019	Network Pruning for Low-Rank Binary Indexing by Dongsoo Lee et al
05-15-2019	Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning by Vagan Terziyan et al
05-16-2019	Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels by Li Chen
05-14-2019	Successor Options: An Option Discovery Framework for Reinforcement Learning by Rahul Ramesh et al
05-17-2019	SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design by Saikat Chatterjee et al
05-16-2019	Online Multivariate Anomaly Detection and Localization for High-dimensional Settings by Mahsa Mozaffari et al
05-15-2019	End-to-End Multi-Channel Speech Separation by Rongzhi Gu et al
05-15-2019	Multiple perspectives HMM-based feature engineering for credit card fraud detection by Yvan Lucas et al
05-16-2019	Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm by Rishabh Dixit et al
05-16-2019	BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning by Abhijit Guha Roy et al
05-15-2019	Geometric Losses for Distributional Learning by Arthur Mensch et al
05-16-2019	Non-negative matrix factorization based on generalized dual divergence by Karthik Devarajan
05-16-2019	Vector Field Neural Networks by Daniel Vieira et al
05-14-2019	NGO-GM: Natural Gradient Optimization for Graphical Models by Eric Benhamou et al
05-15-2019	Output-Constrained Bayesian Neural Networks by Wanqian Yang et al
05-14-2019	An Improved Self-supervised GAN via Adversarial Training by Ngoc-Trung Tran et al
05-14-2019	SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning by Haoran Niu et al
05-17-2019	Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models by Mor Shpigel Nacson et al
05-14-2019	Efficient Computation of Hessian Matrices in TensorFlow by Geir K. Nilsen et al
05-17-2019	Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks by Kota Nakashima et al
05-15-2019	EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction by Nana Wang et al
05-14-2019	Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering by Rajarshi Das et al
05-17-2019	Spectral Metric for Dataset Complexity Assessment by Frederic Branchaud-Charron et al
05-14-2019	Convolutional Poisson Gamma Belief Network by Chaojie Wang et al
05-16-2019	Exact-K Recommendation via Maximal Clique Optimization by Yu Gong et al
05-17-2019	MiSC: Mixed Strategies Crowdsourcing by Ching-Yun Ko et al
05-15-2019	Predictive Online Convex Optimization by Antoine Lesage-Landry et al
05-15-2019	Stochastic approximation with cone-contractive operators: Sharp ℓ∞ℓ∞-bounds for QQ-learning by Martin J. Wainwright
05-16-2019	Reduced-order modeling using Dynamic Mode Decomposition and Least Angle Regression by John Graff et al
05-17-2019	MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems by Hongjiao Guan
05-16-2019	The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures by Sheshera Mysore et al
05-14-2019	Learning to Groove with Inverse Sequence Transformations by Jon Gillick et al
05-16-2019	Leveraging exploration in off-policy algorithms via normalizing flows by Bogdan Mazoure et al
05-15-2019	Differentiable Linearized ADMM by Xingyu Xie et al
05-15-2019	A New Confidence Interval for the Mean of a Bounded Random Variable by Erik Learned-Miller et al
05-16-2019	Fiduciary Bandits by Gal Bahar et al
05-14-2019	Software Engineering for Fairness: A Case Study with Hyperparameter Optimization by Joymallya Chakraborty et al
05-15-2019	Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition by Anil R. Yelundur et al
05-17-2019	Pair Matching: When bandits meet stochastic block model by Christophe Giraud et al
05-17-2019	Online Distributed Estimation of Principal Eigenspaces by Davoud Ataee Tarzanagh et al
05-17-2019	Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation by Hang Zou et al
05-16-2019	Edge-Assisted Hierarchical Federated Learning with Non-IID Data by Lumin Liu et al
05-14-2019	A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment by Weida Li et al
05-15-2019	Domain Adaptive Transfer Learning for Fault Diagnosis by Qin Wang et al
05-15-2019	Function Space Pooling For Graph Convolutional Networks by Padraig Corcoran
05-15-2019	Can Graph Neural Networks Go Online? An Analysis of Pretraining and Inference by Lukas Galke et al
05-14-2019	Robustification of deep net classifiers by key based diversified aggregation with pre-filtering by Olga Taran et al
05-16-2019	Predicting Solar Flares Using a Long Short-Term Memory Network by Hao Liu et al
05-17-2019	Comparison of Machine Learning Models in Food Authentication Studies by Manokamna Singh et al
05-17-2019	Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing by Siavash Haghiri et al
05-14-2019	Evaluation Metrics for Unsupervised Learning Algorithms by Julio-Omar Palacio-Niño
05-15-2019	Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements by Sheng Xu et al
05-15-2019	Deep reinforcement learning for scheduling in large-scale networked control systems by Adrian Redder et al
05-16-2019	TERMINATOR: Better Automated UI Test Case Prioritization by Zhe Yu et al
05-14-2019	Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models by Ahmed Hussen Abdelaziz et al
05-14-2019	Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification by Sheng Wan et al
05-15-2019	Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes by Chengyao Sun et al
05-17-2019	Cleaned Similarity for Better Memory-Based Recommenders by Farhan Khawar et al
05-16-2019	Learning discriminative features in sequence training without requiring framewise labelled data by Jun Wang et al
05-14-2019	Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models by Farzad Eskandanian et al