2019.10.20 Learning papers

10-15-2019	MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers by Yuanyuan Wei et al
10-17-2019	Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization by Viet Anh Nguyen et al
10-16-2019	Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages by Nikolay Jetchev et al
10-16-2019	Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3 by Adel Ammar et al
10-18-2019	Identification of Model Uncertainty via Optimal Design of Experiments applied to a Mechanical Press by Tristan Gally et al
10-18-2019	Fully Parallel Hyperparameter Search: Reshaped Space-Filling by M. -L. Cauwet et al
10-17-2019	A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms by Alireza Rezvanifar et al
10-18-2019	Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification by Vivian Lai et al
10-17-2019	Relational Graph Representation Learning for Open-Domain Question Answering by Salvatore Vivona et al
10-15-2019	MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design by Mayoore S. Jaiswal et al
10-15-2019	Adversarial Examples for Models of Code by Noam Yefet et al
10-18-2019	Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes by Aaron W. Li et al
10-16-2019	On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach by Yuanhao Wang et al
10-16-2019	Optimal Transport Based Generative Autoencoders by Oliver Zhang et al
10-16-2019	Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure by Ioannis C. Konstantakopoulos et al
10-15-2019	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference by Lasse Espeholt et al
10-17-2019	Obfuscation via Information Density Estimation by Hsiang Hsu et al
10-15-2019	Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks by Marija Jegorova et al
10-16-2019	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks by Benjamin Cramer et al
10-16-2019	A Notion of Harmonic Clustering in Simplicial Complexes by Stefania Ebli et al
10-18-2019	Robust modal regression with direct log-density derivative estimation by Hiroaki Sasaki et al
10-18-2019	Implicit Context-aware Learning and Discovery for Streaming Data Analytics by Kin Gwn Lore et al
10-16-2019	Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks by Davit Buniatyan
10-17-2019	Online Learning in Planar Pushing with Combined Prediction Model by Huidong Gao et al
10-18-2019	Adaptive Partitioning for Template Functions on Persistence Diagrams by Sarah Tymochko et al
10-18-2019	Automatic Data Augmentation by Learning the Deterministic Policy by Yinghuan Shi et al
10-15-2019	Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving by Imanol Schlag et al
10-15-2019	DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning by Frederik Harder et al
10-16-2019	End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation by Minh H. Vu et al
10-15-2019	Continuous and Discrete-Time Survival Prediction with Neural Networks by Håvard Kvamme et al
10-16-2019	Rugby-Bot: Utilizing Multi-Task Learning & Fine-Grained Features for Rugby League Analysis by Matthew Holbrook et al
10-16-2019	Understanding Social Networks using Transfer Learning by Jun Sun et al
10-16-2019	Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation by Ziyang Tang et al
10-17-2019	A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis by Sebastian Wagner-Carena et al
10-15-2019	Probabilistic Time of Arrival Localization by Fernando Perez-Cruz et al
10-18-2019	Unsupervised Context Rewriting for Open Domain Conversation by Kun Zhou et al
10-18-2019	Point Process Flows by Nazanin Mehrasa et al
10-18-2019	Multi-View Reinforcement Learning by Minne Li et al
10-18-2019	Attentive Knowledge Graph Embedding for Personalized Recommendation by Xiao Sha et al
10-17-2019	Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data by Sergio Casas et al
10-17-2019	A Survey of Deep Learning Techniques for Autonomous Driving by Sorin Grigorescu et al
10-15-2019	Learning Sample-Specific Models with Low-Rank Personalized Regression by Benjamin Lengerich et al
10-15-2019	Challenges of Human-Aware AI Systems by Subbarao Kambhampati
10-16-2019	Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs by Osman Asif Malik et al
10-15-2019	DeepGCNs: Making GCNs Go as Deep as CNNs by Guohao Li et al
10-15-2019	Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019 by Shizhe Chen et al
10-15-2019	Data-Driven Deep Learning of Partial Differential Equations in Modal Space by Kailiang Wu et al
10-16-2019	Root Mean Square Layer Normalization by Biao Zhang et al
10-16-2019	Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics by Jun Shi et al
10-17-2019	Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach by Christopher Bresten et al
10-16-2019	A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings by Lahari Poddar et al
10-16-2019	Optimising Individual-Treatment-Effect Using Bandits by Jeroen Berrevoets et al
10-15-2019	On adversarial patches: real-world attack on ArcFace-100 face recognition system by Mikhail Pautov et al
10-18-2019	Detecting multiple change-points in the time-varying Ising model by Batiste Le Bars et al
10-17-2019	Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets by Yogesh Balaji et al
10-17-2019	A Unified Framework for Tuning Hyperparameters in Clustering Problems by Xinjie Fan et al
10-17-2019	Why bigger is not always better: on finite and infinite neural networks by Laurence Aitchison
10-18-2019	Federated Generative Privacy by Aleksei Triastcyn et al
10-17-2019	Keyphrase Extraction from Disaster-related Tweets by Jishnu Ray Chowdhury et al
10-17-2019	WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning by Wenhao Zhang et al
10-17-2019	Collaborative Filtering with Label Consistent Restricted Boltzmann Machine by Sagar Verma et al
10-15-2019	Explainable Semantic Mapping for First Responders by Jean Oh et al
10-15-2019	Conversion Rate Prediction via Post-Click Behaviour Modeling by Hong Wen et al
10-16-2019	Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms by Zhong Qiu Lin et al
10-16-2019	MLQA: Evaluating Cross-lingual Extractive Question Answering by Patrick Lewis et al
10-16-2019	Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs by Robert Walecki et al
10-16-2019	Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation by Elisa Oostwal et al
10-16-2019	Conditional Importance Sampling for Off-Policy Learning by Mark Rowland et al
10-16-2019	Adaptive Trade-Offs in Off-Policy Learning by Mark Rowland et al
10-15-2019	Negatively Correlated Search as a Parallel Exploration Search Strategy by Peng Yang et al
10-15-2019	DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images by W. Ronny Huang et al
10-15-2019	Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes by Chen-Yu Wei et al
10-17-2019	On Concept-Based Explanations in Deep Neural Networks by Chih-Kuan Yeh et al
10-15-2019	A Compact Neural Architecture for Visual Place Recognition by Marvin Chancán et al
10-17-2019	Dropping forward-backward algorithms for feature selection by Thu Nguyen
10-17-2019	Statistical Parameter Selection for Clustering Persistence Diagrams by Max Kontak et al
10-15-2019	Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora by Marius Cătălin Iordan et al
10-17-2019	A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty by Emma Frejinger et al
10-17-2019	Can I teach a robot to replicate a line art by Raghav Brahmadesam Venkataramaiyer et al
10-17-2019	Single Episode Policy Transfer in Reinforcement Learning by Jiachen Yang et al
10-15-2019	Neural tangent kernels, transportation mappings, and universal approximation by Ziwei Ji et al
10-18-2019	Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics by Taras Khakhulin et al
10-16-2019	Audio-Conditioned U-Net for Position Estimation in Full Sheet Images by Florian Henkel et al
10-17-2019	Autoregressive Models: What Are They Good For? by Murtaza Dalal et al
10-16-2019	Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited by S. E. Marzen et al
10-15-2019	Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making by Rogerio Bonatti et al
10-16-2019	FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance by Matteo Dell'Amico
10-15-2019	Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition by Salar Jafarlou et al
10-15-2019	Quantifying Classification Uncertainty using Regularized Evidential Neural Networks by Xujiang Zhao et al
10-17-2019	Predicting passenger origin-destination in online taxi-hailing systems by Pouria Golshanrad et al
10-17-2019	Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization by Huazhe Xu et al
10-17-2019	Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring by Sagar Verma et al
10-15-2019	Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation by Anindya Sarkar et al
10-17-2019	Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy by Philippe Schwaller et al
10-17-2019	Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning by Han Bao et al
10-17-2019	Deep clustering with concrete k-means by Boyan Gao et al
10-15-2019	Extracting robust and accurate features via a robust information bottleneck by Ankit Pensia et al
10-17-2019	An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy by Sanghamitra Dutta et al
10-15-2019	On Higher-order Moments in Adam by Zhanhong Jiang et al
10-17-2019	Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls by Jiacheng Zhuo et al
10-16-2019	Dynamic Local Regret for Non-convex Online Forecasting by Sergul Aydore et al
10-16-2019	Creativity in Robot Manipulation with Deep Reinforcement Learning by Juan Carlos Vargas et al
10-16-2019	Newton vs the machine: solving the chaotic three-body problem using deep neural networks by Philip G. Breen et al
10-16-2019	Unsupervised Domain Adaptation Meets Offline Recommender Learning by Yuta Saito
10-16-2019	Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations by Ozsel Kilinc et al
10-15-2019	Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize by Youngsuk Park et al
10-18-2019	Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach by Dimitris Bertsimas et al
10-18-2019	Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data by Seok-Ju Hahn et al
10-17-2019	Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces by Sean R. Sinclair et al
10-17-2019	RTFM: Generalising to Novel Environment Dynamics via Reading by Victor Zhong et al
10-15-2019	A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads by Andrés M. Alonso et al
10-17-2019	Combinatorial Losses through Generalized Gradients of Integer Linear Programs by Xi Gao et al
10-16-2019	Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias by Jacob Pfau et al
10-16-2019	Contextual Joint Factor Acoustic Embeddings by Yanpei Shi et al
10-17-2019	A Stochastic Variance Reduced Nesterovs Accelerated Quasi-Newton Method by Sota Yasuda et al
10-15-2019	Machine Learning for Generalizable Prediction of Flood Susceptibility by Chelsea Sidrane et al
10-15-2019	Solving Rubiks Cube with a Robot Hand by OpenAI et al
10-15-2019	Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models by Tianxing He et al
10-15-2019	HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories by Yu Zhang et al
10-17-2019	Error Lower Bounds of Constant Step-size Stochastic Gradient Descent by Zhiyan Ding et al
10-15-2019	Measuring the Completeness of Theories by Drew Fudenberg et al
10-15-2019	Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG by Yujia Jin et al
10-17-2019	Mirror Descent View for Neural Network Quantization by Thalaiyasingam Ajanthan et al
10-17-2019	Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating by Xin Yao et al
10-17-2019	Reducing the Computational Complexity of Pseudoinverse for the Incremental Broad Learning System on Added Inputs by Hufei Zhu et al
10-18-2019	SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion by Peng Liu et al
10-17-2019	Optimization and Learning with Information Streams: Time-varying Algorithms and Applications by Emiliano Dall'Anese et al
10-17-2019	Graph Embedding VAE: A Permutation Invariant Model of Graph Structure by Tony Duan et al
10-15-2019	SafeCritic: Collision-Aware Trajectory Prediction by Tessa van der Heiden et al
10-15-2019	Breadth-first, Depth-next Training of Random Forests by Andreea Anghel et al
10-15-2019	How a minimal learning agent can infer the existence of unobserved variables in a complex environment by Katja Ried et al
10-17-2019	Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification by Matias Valdenegro-Toro
10-16-2019	Path homologies of deep feedforward networks by Samir Chowdhury et al
10-18-2019	BOBBY2: Buffer Based Robust High-Speed Object Tracking by Keifer Lee et al
10-17-2019	Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data by Ludwig Schallner et al
10-15-2019	Orthogonal Gradient Descent for Continual Learning by Mehrdad Farajtabar et al
10-15-2019	Seeing and Hearing Egocentric Actions: How Much Can We Learn? by Alejandro Cartas et al
10-15-2019	VFNet: A Convolutional Architecture for Accent Classification by Asad Ahmed et al

10-15-2019	SGD Learns One-Layer Networks in WGANs by Qi Lei et al
10-15-2019	Attention Network Robustification for Person ReID by Hussam Lawen et al
10-17-2019	H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model by Yanpei Shi et al
10-16-2019	An Exponential Learning Rate Schedule for Deep Learning by Zhiyuan Li et al
10-15-2019	The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019) by Yixin Wang et al
10-17-2019	Improving the convergence of SGD through adaptive batch sizes by Scott Sievert et al
10-17-2019	DeepFork: Supervised Prediction of Information Diffusion in GitHub by Ramya Akula et al
10-15-2019	Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions by Lars Buesing et al
10-15-2019	Adaptive Exploration in Linear Contextual Bandit by Botao Hao et al
10-16-2019	Generalized Clustering by Learning to Optimize Expected Normalized Cuts by Azade Nazi et al
10-16-2019	A New Defense Against Adversarial Images: Turning a Weakness into a Strength by Tao Yu et al
10-15-2019	Embodiment dictates learnability in neural controllers by Joshua Powers et al
10-16-2019	Conditional Invertible Flow for Point Cloud Generation by Michał Stypułkowski et al
10-18-2019	Classification of spherical objects based on the form function of acoustic echoes by Mariia Dmitrieva et al
10-15-2019	Constrained Bayesian Optimization with Max-Value Entropy Search by Valerio Perrone et al
10-15-2019	Adaptive Step Sizes in Variance Reduction via Regularization by Bingcong Li et al
10-15-2019	Learning Classifiers on Positive and Unlabeled Data with Policy Gradient by Tianyu Li et al
10-15-2019	Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks by Theodore Papamarkou et al
10-17-2019	Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction by Ajay Jain et al
10-17-2019	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation by Zhiwei Liu et al
10-17-2019	Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process by Jiacheng Zhu et al
10-17-2019	Mapper Based Classifier by Alexander Georges et al
10-17-2019	Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection by Ilia Nouretdinov et al
10-17-2019	Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation by Anindya Sarkar et al
10-17-2019	Heterogeneous Graph Matching Networks by Shen Wang et al
10-15-2019	Discriminator optimal transport by Akinori Tanaka
10-18-2019	A Topological Reading Lesson: Classification of MNIST using TDA by Adélie Garin et al
10-16-2019	Deep Semantic Segmentation of Natural and Medical Images: A Review by Saed Asgari Taghanaki et al
10-15-2019	How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation by Qiong Tian et al
10-15-2019	Towards a Precipitation Bias Corrector against Noise and Maldistribution by Xiaoyang Xu et al
10-15-2019	The Local Elasticity of Neural Networks by Hangfeng He et al
10-16-2019	CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation by Peng Liu et al
10-15-2019	Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling by YoungJoon Yoo et al
10-17-2019	Sharper bounds for uniformly stable algorithms by Olivier Bousquet et al
10-15-2019	Sparse Gaussian Process Regression Beyond Variational Inference by Martin Jankowiak et al
10-17-2019	Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics by Oier Mees et al
10-15-2019	Improved Generalization Bound of Permutation Invariant Deep Neural Networks by Akiyoshi Sannai et al
10-18-2019	Understanding Deep Networks via Extremal Perturbations and Smooth Masks by Ruth Fong et al
10-17-2019	Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation by Ryan-Rhys Griffiths et al
10-15-2019	Transfer Learning for Algorithm Recommendation by Gean Trindade Pereira et al
10-15-2019	RiWalk: Fast Structural Node Embedding via Role Identification by Xuewei Ma et al
10-15-2019	Training CNNs faster with Dynamic Input and Kernel Downsampling by Zissis Poulos et al
10-16-2019	Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games by Zuyue Fu et al
10-18-2019	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning by Luisa Zintgraf et al
10-17-2019	Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning by Kevin P. Nguyen et al
10-18-2019	Autonomous exploration for navigating in non-stationary CMPs by Pratik Gajane et al
10-15-2019	A greedy anytime algorithm for sparse PCA by Guy Holtzman et al
10-17-2019	Unsupervised Multi-Task Feature Learning on Point Clouds by Kaveh Hassani et al
10-15-2019	Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI by Nicha C. Dvornek et al
10-15-2019	Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs by Shiqi Yu
10-15-2019	The R\enyi Gaussian Process by Xubo Yue et al
10-15-2019	Reduced-Order Modeling of Deep Neural Networks by Talgat Daulbaev et al
10-16-2019	Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition by Adrien Dufraux et al
10-15-2019	Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost by Mingfei Gao et al
10-15-2019	Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding by Jiewen Wu et al
10-16-2019	Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making by Mayank Agrawal et al
10-18-2019	Texture Bias Of CNNs Limits Few-Shot Classification Performance by Sam Ringer et al
10-17-2019	Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control by Lukas Hermann et al
10-17-2019	Universal Text Representation from BERT: An Empirical Study by Xiaofei Ma et al
10-17-2019	Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator by Eunjin Jeon et al
10-16-2019	Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification by Florian Lemarchand et al
10-16-2019	Soft Actor-Critic for Discrete Action Settings by Petros Christodoulou
10-18-2019	On Connections between Constrained Optimization and Reinforcement Learning by Nino Vieillard et al
10-18-2019	Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Neural Domain Adaptation by Manirupa Das et al
10-17-2019	MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming by Yura Perov et al
10-15-2019	Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs by Alexia Jolicoeur-Martineau et al
10-16-2019	Excess risk bounds in robust empirical risk minimization by Stanislav Minsker et al
10-15-2019	SegSort: Segmentation by Discriminative Sorting of Segments by Jyh-Jing Hwang et al
10-16-2019	MAVEN: Multi-Agent Variational Exploration by Anuj Mahajan et al
10-17-2019	From Dark Matter to Galaxies with Convolutional Neural Networks by Jacky H. T. Yip et al
10-16-2019	A Double Residual Compression Algorithm for Efficient Distributed Learning by Xiaorui Liu et al
10-16-2019	Active Learning for Graph Neural Networks via Node Feature Propagation by Yuexin Wu et al
10-15-2019	Cascading Machine Learning to Attack Bitcoin Anonymity by Francesco Zola et al
10-15-2019	Compacting, Picking and Growing for Unforgetting Continual Learning by Steven C. Y. Hung et al
10-16-2019	Frequency and temporal convolutional attention for text-independent speaker recognition by Sarthak Yadav et al
10-16-2019	Model-Agnostic Meta-Learning using Runge-Kutta Methods by Daniel Jiwoong Im et al
10-16-2019	On Learning Paradigms for the Travelling Salesman Problem by Chaitanya K. Joshi et al
10-16-2019	Tutorial on NLP-Inspired Network Embedding by Boaz Shmueli
10-17-2019	Overcoming Forgetting in Federated Learning on Non-IID Data by Neta Shoham et al
10-18-2019	First-Order Preconditioning via Hypergradient Descent by Ted Moskovitz et al
10-18-2019	Learning Compositional Koopman Operators for Model-Based Control by Yunzhu Li et al
10-17-2019	KDE sampling for imbalanced class distribution by Firuz Kamalov
10-18-2019	On the Difficulty of Warm-Starting Neural Network Training by Jordan T. Ash et al
10-15-2019	Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis by Xihui Liu et al
10-16-2019	Multiclass spectral feature scaling method for dimensionality reduction by Momo Matsuda et al
10-16-2019	Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics by Chirag Modi et al
10-17-2019	Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets by Florian Wirthmüller et al
10-16-2019	Designing Style Matching Conversational Agents by Deepali Aneja et al
10-15-2019	Counterfactual diagnosis by Jonathan G. Richens et al
10-16-2019	On the Global Optima of Kernelized Adversarial Representation Learning by Bashir Sadeghi et al
10-16-2019	Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case by Paul Almasan et al
10-15-2019	AI Benchmark: All About Deep Learning on Smartphones in 2019 by Andrey Ignatov et al
10-16-2019	Modeling Sequences with Quantum States: A Look Under the Hood by Tai-Danae Bradley et al
10-16-2019	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments by Rémy Portelas et al
10-16-2019	Structural Analysis of Sparse Neural Networks by Julian Stier et al
10-18-2019	On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation by Harshat Kumar et al
10-18-2019	Efficient Computation of Probabilistic Dominance in Robust Multi-Objective Optimization by Faramarz Khosravi et al
10-18-2019	Multimodal Image Super-resolution via Deep Unfolding with Side Information by Iman Marivani et al
10-18-2019	bb-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches by Shunsuke Kanda et al
10-18-2019	Supervised Learning Approach to Approximate Nearest Neighbor Search by Ville Hyvönen et al
10-16-2019	Learning chordal extensions by Defeng Liu et al
10-18-2019	Masked Gradient-Based Causal Structure Learning by Ignavier Ng et al
10-18-2019	Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm by Michele Donini et al
10-15-2019	REVE: Regularizing Deep Learning with Variational Entropy Bound by Antoine Saporta et al
10-16-2019	Conditional Learning of Fair Representations by Han Zhao et al
10-16-2019	Generative Modeling for Small-Data Object Detection by Lanlan Liu et al
10-17-2019	Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations by Andreas Kopf et al
10-17-2019	Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces by Zengyi Li et al