2019.11.17 Learning papers

11-14-2019	Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior by Mario González et al
11-15-2019	Unsupervised Attributed Multiplex Network Embedding by Chanyoung Park et al
11-14-2019	Robust Parameter-Free Season Length Detection in Time Series by Maximilian Toller et al
11-14-2019	Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach by Hyungsul Kim et al
11-12-2019	Collaborative Distillation for Top-N Recommendation by Jae-woong Lee et al
11-14-2019	ASCAI: Adaptive Sampling for acquiring Compact AI by Mojan Javaheripi et al
11-12-2019	0-1 phase transitions in sparse spiked matrix estimation by Jean Barbier et al
11-12-2019	Scientific Image Restoration Anywhere by Vibhatha Abeykoon et al
11-12-2019	Image-Based Feature Representation for Insider Threat Classification by Gayathri R G et al
11-12-2019	CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations by Qiao Zhang et al
11-14-2019	Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting by Haoyu Zhao et al
11-14-2019	SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation by Ue-Hwan Kim et al
11-13-2019	Asynchronous Distributed Learning from Constraints by Francesco Farina et al
11-13-2019	A Convergent Off-Policy Temporal Difference Algorithm by Raghuram Bharadwaj Diddigi et al
11-12-2019	Predictive Multi-level Patient Representations from Electronic Health Records by Zichang Wang et al
11-12-2019	Nonconvex Stochastic Nested Optimization via Stochastic ADMM by Zhongruo Wang
11-12-2019	Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks by Yuan Cao et al
11-12-2019	A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret by Yan Zhang et al
11-15-2019	On Model Robustness Against Adversarial Examples by Shufei Zhang et al
11-13-2019	IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data by Ajay Mandlekar et al
11-12-2019	Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks by Jonguk Kim et al
11-12-2019	Accelerating Training in Pommerman with Imitation and Reinforcement Learning by Hardik Meisheri et al
11-15-2019	Towards Personalized Dialog Policies for Conversational Skill Discovery by Maryam Fazel-Zarandi et al
11-14-2019	Sparse associative memory based on contextual code learning for disambiguating word senses by Max Raphael Sobroza et al
11-13-2019	Reinforcement Learning for Market Making in a Multi-agent Dealer Market by Sumitra Ganesh et al
11-12-2019	Adversarial Examples in Modern Machine Learning: A Review by Rey Reza Wiyatno et al
11-12-2019	Learning Non-Parametric Invariances from Data with Permanent Random Connectomes by Dipan K. Pal et al
11-12-2019	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods by Xiao Li et al
11-13-2019	Federated and Differentially Private Learning for Electronic Health Records by Stephen R. Pfohl et al
11-13-2019	On the Shattering Coefficient of Supervised Learning Algorithms by Rodrigo Fernandes de Mello
11-14-2019	Privacy and Utility Preserving Sensor-Data Transformations by Mohammad Malekzadeh et al
11-14-2019	Attention on Abstract Visual Reasoning by Lukas Hahne et al
11-14-2019	An Application of Multiple-Instance Learning to Estimate Generalization Risk by Daiki Suehiro
11-12-2019	Learning Sparse Sharing Architectures for Multiple Tasks by Tianxiang Sun et al
11-12-2019	Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning by Qiang Ma et al
11-12-2019	An Unethical Optimization Principle by Nicholas Beale et al
11-12-2019	Efficient Fair Principal Component Analysis by Mohammad Mahdi Kamani et al
11-12-2019	Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data by Jesus Lago et al
11-13-2019	Adversarial Margin Maximization Networks by Ziang Yan et al
11-14-2019	Deep Learning for Over-the-Air Non-Orthogonal Signal Classification by Tongyang Xu et al
11-12-2019	Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models by Benjamin Lengerich et al
11-14-2019	Sato: Contextual Semantic Type Detection in Tables by Dan Zhang et al
11-14-2019	The Canonical Distortion Measure for Vector Quantization and Function Approximation by Jonathan Baxter
11-15-2019	TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA by Ali Jahanshahi
11-15-2019	Safe Interactive Model-Based Learning by Marco Gallieri et al
11-15-2019	Multi-Label Learning with Deep Forest by Liang Yang et al
11-15-2019	Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings by Vanja Doskoč et al
11-12-2019	word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement by Aliakbar Panahi et al
11-14-2019	Sparse Density Estimation with Measurement Errors by Xiaowei Yang et al
11-13-2019	Neural networks for option pricing and hedging: a literature review by Johannes Ruf et al
11-12-2019	Learning from a Teacher using Unlabeled Data by Gaurav Menghani et al
11-14-2019	Predicting Drug-Drug Interactions from Molecular Structure Images by Devendra Singh Dhami et al
11-14-2019	Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty by Katharina Hoebel et al
11-13-2019	SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator by Shunwang Gong et al
11-13-2019	Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features by Shingo Yashima et al
11-13-2019	Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor by Felix Christian Bauer et al
11-13-2019	A Reduction from Reinforcement Learning to No-Regret Online Learning by Ching-An Cheng et al
11-12-2019	Incentivized Exploration for Multi-Armed Bandits under Reward Drift by Zhiyuan Liu et al
11-12-2019	Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps by Umaseh Sivanesan et al
11-12-2019	On Policy Gradients by Mattis Manfred Kämmerer
11-12-2019	Fairness-Aware Neural R\eyni Minimization for Continuous Features by Vincent Grari et al
11-15-2019	Improved algorithm for neuronal ensemble inference by Monte Carlo method by Shun Kimura et al
11-14-2019	Learning Model Bias by Jonathan Baxter
11-12-2019	Iteratively Training Look-Up Tables for Network Quantization by Fabien Cardinaux et al
11-14-2019	Supplementary material for Uncorrected least-squares temporal difference with lambda-return by Takayuki Osogami
11-14-2019	Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems by Aditya Narayan Ravi et al
11-15-2019	Stagewise Knowledge Distillation by Akshay Kulkarni et al
11-14-2019	Optimal Mini-Batch Size Selection for Fast Gradient Descent by Michael P. Perrone et al
11-12-2019	Schedule Earth Observation satellites with Deep Reinforcement Learning by Adrien Hadj-Salah et al
11-14-2019	A Machine-Learning Approach for Earthquake Magnitude Estimation by S. Mostafa Mousavi et al
11-13-2019	On the choice of graph neural network architectures by Clément Vignac et al
11-12-2019	Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling by Ren Yi et al
11-13-2019	Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks by Icaro O. de Oliveira et al
11-12-2019	Shadowing Properties of Optimization Algorithms by Antonio Orvieto et al
11-13-2019	Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates by Anqi Liu et al
11-13-2019	Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning by Faen Zhang et al
11-13-2019	Regression via Arbitrary Quantile Modeling by Faen Zhang et al
11-13-2019	TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records by Ardavan Afshar et al
11-12-2019	Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier by Kévin Cousot et al
11-12-2019	AMPL: A Data-Driven Modeling Pipeline for Drug Discovery by Amanda J. Minnich et al
11-12-2019	Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling by Yadan Luo et al
11-14-2019	CASTER: Predicting Drug Interactions with Chemical Substructure Representation by Kexin Huang et al
11-14-2019	Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement by Matthew J. Vowels et al
11-15-2019	Penalized k-means algorithms for finding the correct number of clusters in a dataset by Behzad Kamgar-Parsi et al
11-12-2019	92c/MFlops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster by Douglas Aberdeen et al
11-14-2019	Progressive Feature Polishing Network for Salient Object Detection by Bo Wang et al
11-14-2019	Distributional Clustering: A distribution-preserving clustering method by Arvind Krishna et al
11-14-2019	An Efficient Hardware-Oriented Dropout Algorithm by Yoeng Jye Yeoh et al
11-12-2019	Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making by David Paulus et al
11-12-2019	SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery by Shion Honda et al
11-13-2019	Learning internal representations by Jonathan Baxter
11-12-2019	Negative sampling in semi-supervised learning by John Chen et al
11-12-2019	Constant Curvature Graph Convolutional Networks by Gregor Bachmann et al
11-14-2019	Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks by Simone Gramsch et al
11-14-2019	Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs by Jeremiah W. Johnson
11-14-2019	Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective by Robert A. Murphy
11-15-2019	GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion by Anh-Duc Nguyen et al
11-13-2019	A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction by Ziqi Ke et al
11-14-2019	Hierarchical Graph Pooling with Structure Learning by Zhen Zhang et al
11-14-2019	Self-supervised Adversarial Training by Kejiang Chen et al
11-13-2019	AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case by E. Cisbani et al
11-13-2019	A Model of Double Descent for High-dimensional Binary Linear Classification by Zeyu Deng et al
11-12-2019	MCPA: Program Analysis as Machine Learning by Marcel Böhme
11-12-2019	On Robustness to Adversarial Examples and Polynomial Optimization by Pranjal Awasthi et al
11-12-2019	Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels by Kürşat Tekbıyık et al
11-12-2019	Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network by Tristan Carsault et al
11-12-2019	Clustering by Directly Disentangling Latent Space by Fei Ding et al
11-12-2019	MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration by Ruoyun Chen et al
11-14-2019	Semantic Granularity Metric Learning for Visual Search by Dipu Manandhar et al
11-14-2019	Conjugate Gradients for Kernel Machines by Simon Bartels et al
11-12-2019	Unsupervised Domain Adaptation on Reading Comprehension by Yu Cao et al
11-13-2019	Adversarial Transformations for Semi-Supervised Learning by Teppei Suzuki et al
11-14-2019	Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement by Soumi Maiti et al
11-15-2019	AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients by Xiaodan Li et al
11-13-2019	Topological Stability: Guided Determination of the Nearest Neighbors in Non-Linear Dimensionality Reduction Techniques by Mohammed Elhenawy
11-12-2019	Experience-Embedded Visual Foresight by Lin Yen-Chen et al
11-15-2019	Fair Data Adaptation with Quantile Preservation by Drago Plečko et al
11-14-2019	ℓ∞ℓ∞ Vector Contraction for Rademacher Complexity by Dylan J. Foster et al
11-12-2019	Machine Intelligence at the Edge with Learning Centric Power Allocation by Shuai Wang et al
11-15-2019	MMGAN: Generative Adversarial Networks for Multi-Modal Distributions by Teodora Pandeva et al
11-15-2019	Forgetting to learn logic programs by Andrew Cropper
11-13-2019	Triply Robust Off-Policy Evaluation by Anqi Liu et al
11-13-2019	Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning by Dipendra Misra et al
11-12-2019	Incentive Compatible Active Learning by Federico Echenique et al
11-13-2019	Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints by Feng Huang et al
11-13-2019	Structured Sparsification of Gated Recurrent Neural Networks by Ekaterina Lobacheva et al
11-12-2019	FLEN: Leveraging Field for Scalable CTR Prediction by Wenqiang Chen et al
11-12-2019	Deep Variational Semi-Supervised Novelty Detection by Tal Daniel et al
11-12-2019	Using musical relationships between chord labels in automatic chord extraction tasks by Tristan Carsault et al
11-12-2019	Time-Aware Prospective Modeling of Users for Online Display Advertising by Djordje Gligorijevic et al

11-12-2019	Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning by Louis D. van Harten et al
11-14-2019	Sequential Recommendation with Relation-Aware Kernelized Self-Attention by Mingi Ji et al
11-14-2019	A Bayesian/Information Theoretic Model of Bias Learning by Jonathan Baxter
11-12-2019	Efficient Inverse-Free Algorithms for Extreme Learning Machine Based on the Recursive Matrix Inverse and the Inverse LDL Factorization by Hufei Zhu et al
11-13-2019	Modeling patterns of smartphone usage and their relationship to cognitive health by Jonas Rauber et al
11-14-2019	Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records by Prithwish Chakraborty et al
11-13-2019	Condition monitoring and early diagnostics methodologies for hydropower plants by Alessandro Betti et al
11-13-2019	SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability by Sunil Mallya et al
11-12-2019	Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks by Michele Alberti et al
11-14-2019	Synthetic Event Time Series Health Data Generation by Saloni Dash et al
11-14-2019	Modelling EHR timeseries by restricting feature interaction by Kun Zhang et al
11-13-2019	Deep learning velocity signals allows to quantify turbulence intensity by Alessandro Corbetta et al
11-13-2019	Atari-fying the Vehicle Routing Problem with Stochastic Service Requests by Nicholas D. Kullman et al
11-13-2019	Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things by Maede Zolanvari et al
11-13-2019	Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering by Yule Vaz et al
11-13-2019	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery by Jicong Fan et al
11-12-2019	Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials by Yabo Dan et al
11-13-2019	Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets by Shangqi Lai et al
11-13-2019	Neural Duplicate Question Detection without Labeled Training Data by Andreas Rücklé et al
11-14-2019	HUSE: Hierarchical Universal Semantic Embeddings by Pradyumna Narayana et al
11-12-2019	Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision by Ho Hin Lee et al
11-13-2019	Compressive Transformers for Long-Range Sequence Modelling by Jack W. Rae et al
11-13-2019	3-D Feature and Acoustic Modeling for Far-Field Speech Recognition by Anurenjan Purushothaman et al
11-12-2019	Federated Learning for Healthcare Informatics by Jie Xu et al
11-12-2019	Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence by P. Jayashree et al
11-12-2019	A Hierarchy of Graph Neural Networks Based on Learnable Local Features by Michael Lingzhi Li et al
11-13-2019	A Stable Variational Autoencoder for Text Modelling by Ruizhe Li et al
11-15-2019	DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction by Yanjie Gou et al
11-12-2019	LexiPers: An ontology based sentiment lexicon for Persian by Behnam Sabeti et al
11-12-2019	A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data by Yinhe Zheng et al
11-12-2019	Coordination Group Formation for OnLine Coordinated Routing Mechanisms by Wang Peng et al
11-12-2019	Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? by Brij Mohan Lal Srivastava et al
11-15-2019	Simple iterative method for generating targeted universal adversarial perturbations by Hokuto Hirano et al
11-13-2019	ZiMM: a deep learning model for long term adverse events with non-clinical claims data by Emmanuel Bacry et al
11-13-2019	Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation by Mengzhuo Guo et al
11-13-2019	There is Limited Correlation between Coverage and Robustness for Deep Neural Networks by Yizhen Dong et al
11-14-2019	Fourier Spectrum Discrepancies in Deep Network Generated Images by Tarik Dzanic et al
11-12-2019	Generating an Explainable ECG Beat Space With Variational Auto-Encoders by Tom Van Steenkiste et al
11-14-2019	Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer by João Caldeira et al
11-14-2019	ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications by Muhammad Alrabeiah et al
11-14-2019	A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance by Luca Della Libera
11-14-2019	2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards by Tolulope A. Odetola et al
11-12-2019	Efficient Ridge Solution for the Incremental Broad Learning System on Added Nodes by Inverse Cholesky Factorization of a Partitioned Matrix by Hufei Zhu et al
11-12-2019	Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation by Babak Hosseini et al
11-12-2019	HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow by Ammar Ahmad Awan et al
11-12-2019	Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning by Chufan Gao et al
11-12-2019	Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning by Chen Xu et al
11-12-2019	The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design by Jeffrey Dean
11-12-2019	Selective Brain Damage: Measuring the Disparate Impact of Model Pruning by Sara Hooker et al
11-14-2019	Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility by Shikhar Jain et al
11-13-2019	Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications by Yavuz Koroglu et al
11-12-2019	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks by Aditya Golatkar et al
11-15-2019	A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload by Kumar Goutam et al
11-14-2019	On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network by Tobias Skovgaard Jepsen et al
11-14-2019	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling by Daniel Stoller et al
11-14-2019	A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis by Hideaki Hayashi et al
11-15-2019	Causal inference using Bayesian non-parametric quasi-experimental design by Max Hinne et al
11-12-2019	Deep Clustering for Mars Rover image datasets by Vikas Ramachandra
11-14-2019	Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks by Shiyu Liu et al
11-15-2019	LIBRE: Learning Interpretable Boolean Rule Ensembles by Graziano Mita et al
11-13-2019	Fair Adversarial Gradient Tree Boosting by Vincent Grari et al
11-12-2019	Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography by Abdelrahman Zayed et al
11-13-2019	Quadratic number of nodes is sufficient to learn a dataset via gradient descent by Biswarup Das et al
11-15-2019	CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation by Zhiyue Liu et al
11-12-2019	Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing by Guillermo Cámbara et al
11-13-2019	Understanding the Disharmony between Weight Normalization Family and Weight Decay: ϵ−ϵ−shifted L2L2 Regularizer by Li Xiang et al
11-14-2019	SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model by Hideaki Hayashi et al
11-13-2019	Learning to Communicate in Multi-Agent Reinforcement Learning : A Review by Mohamed Salah Zaïem et al
11-12-2019	FLO: Fast and Lightweight Hyperparameter Optimization for AutoML by Chi Wang et al
11-12-2019	Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis by Ali Hassani et al
11-12-2019	Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network by Indraneel Patil et al
11-13-2019	Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling by Mengying Zhu et al
11-15-2019	Generative Models for Effective ML on Private, Decentralized Datasets by Sean Augenstein et al
11-13-2019	Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis by Zhongkai Sun et al
11-12-2019	The phonetic bases of vocal expressed emotion: natural versus acted by Hira Dhamyal et al
11-13-2019	Bayesian Optimization with Uncertain Preferences over Attributes by Raul Astudillo et al
11-12-2019	Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data by John Just et al
11-12-2019	Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning by Tianyu Li et al
11-12-2019	EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping by Abhishek Agarwal et al
11-14-2019	Gradientless Descent: High-Dimensional Zeroth-Order Optimization by Daniel Golovin et al
11-12-2019	Semi-supervised Wrapper Feature Selection with Imperfect Labels by Vasilii Feofanov et al
11-12-2019	Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research by Krishna Murthy Jatavallabhula et al
11-12-2019	Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction by Yoonjung Kim et al
11-14-2019	DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers by Isaac Corley et al
11-14-2019	Scalable Exact Inference in Multi-Output Gaussian Processes by Wessel P. Bruinsma et al
11-15-2019	OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition by Qi She et al
11-14-2019	Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects by Mengyuan Yan et al
11-15-2019	Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice by Ryo Kamoi et al
11-14-2019	Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and Idea Geography Visualization by Yiding Cao et al
11-13-2019	Self-supervised representation learning from electroencephalography signals by Hubert Banville et al
11-12-2019	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks by Kira Maag et al
11-12-2019	Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks by Mariana-Iuliana Georgescu et al
11-12-2019	Grouping Capsules Based Different Types by Qiang Ren
11-12-2019	Automatic Online Quality Control of Synthetic CTs by Louis D. van Harten et al
11-14-2019	Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images by Susanne Kimeswenger et al
11-14-2019	Deep learning methods in speaker recognition: a review by Dávid Sztahó et al
11-12-2019	Position Paper: Towards Transparent Machine Learning by Dustin Juliano
11-14-2019	Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms by Michael Perlmutter et al
11-14-2019	Deep Reinforcement Learning for Adaptive Traffic Signal Control by Kai Liang Tan et al
11-14-2019	Contextual Bandits Evolving Over Finite Time by Harsh Deshpande et al
11-12-2019	Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis by Abdelrahman Zayed et al
11-13-2019	Streaming Bayesian Inference for Crowdsourced Classification by Edoardo Manino et al
11-13-2019	Uncertainty on Asynchronous Time Event Prediction by Marin Biloš et al
11-13-2019	Revenue Maximization of Airbnb Marketplace using Search Results by Jiawei Wen et al
11-13-2019	Avoiding hashing and encouraging visual semantics in referential emergent language games by Daniela Mihai et al
11-13-2019	MOTH- Mobility-induced Outages in THz: A Beyond 5G (B5G) application by Rohit Singh et al
11-15-2019	Imputing missing values with unsupervised random trees by David Cortes
11-12-2019	A Capsule Network-based Model for Learning Node Embeddings by Dai Quoc Nguyen et al