2019.09.30 Learning papers

09-24-2019	Do Massively Pretrained Language Models Make Better Storytellers? by Abigail See et al
09-24-2019	Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation by Arnab Ghosh et al
09-25-2019	Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space by AkshatKumar Nigam et al
09-24-2019	Pretraining boosts out-of-domain robustness for pose estimation by Alexander Mathis et al
09-24-2019	Recurrent Independent Mechanisms by Anirudh Goyal et al
09-24-2019	FEED: Feature-level Ensemble for Knowledge Distillation by SeongUk Park et al
09-24-2019	Synthetic dataset generation for object-to-model deep learning in industrial applications by Matthew Z. Wong et al
09-25-2019	Pre-training as Batch Meta Reinforcement Learning with tiMe by Quan Vuong et al
09-24-2019	Entropy from Machine Learning by Romuald A. Janik
09-25-2019	Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyis Entropy and Tensor Kernels by Kristoffer Wickstrøm et al
09-25-2019	Deep Learning for Deepfakes Creation and Detection by Thanh Thi Nguyen et al
09-24-2019	Distortion Estimation Through Explicit Modeling of the Refractive Surface by Szabolcs Pável et al
09-24-2019	Attention Interpretability Across NLP Tasks by Shikhar Vashishth et al
09-25-2019	Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging by Ayush Singh et al
09-25-2019	The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery by Neelanjan Bhowmik et al
09-25-2019	Synthetic Data for Deep Learning by Sergey I. Nikolenko
09-25-2019	Domain-invariant Learning using Adaptive Filter Decomposition by Ze Wang et al
09-24-2019	Sign Language Recognition Analysis using Multimodal Data by Al Amin Hosain et al
09-24-2019	Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation by Yash Bhalgat et al
09-25-2019	Off-Policy Actor-Critic with Shared Experience Replay by Simon Schmitt et al
09-25-2019	PyDEns: a Python Framework for Solving Differential Equations with Neural Networks by Alexander Koryagin et al
09-24-2019	Message Scheduling for Performant, Many-Core Belief Propagation by Mark Van der Merwe et al
09-24-2019	Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller by Bardienus P. Duisterhof et al
09-24-2019	PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space by Omer Anjum et al
09-25-2019	Input complexity and out-of-distribution detection with likelihood-based generative models by Joan Serrà et al
09-24-2019	Layerwise Relevance Visualization in Convolutional Text Graph Classifiers by Robert Schwarzenberg et al
09-25-2019	Software Engineering Meets Deep Learning: A Literature Review by Fabio Ferreira et al
09-25-2019	Online Non-Monotone DR-submodular Maximization by Nguyen Kim Thang et al
09-25-2019	Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning by Xiaoran Xu et al
09-25-2019	Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks by Tianyu Pang et al
09-25-2019	EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training by Yuqi Cuui et al
09-25-2019	Stochastic Conditional Generative Networks with Basis Decomposition by Ze Wang et al
09-25-2019	Beyond image classification: zooplankton identification with deep vector space embeddings by Ketil Malde et al
09-24-2019	Dimension Estimation Using Autoencoders by Nitish Bahadur et al
09-24-2019	Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations by Yifan Xue et al
09-24-2019	Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach by Tanwi Mallick et al
09-24-2019	Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation by Yang Lv et al
09-25-2019	Balancing Specialization, Generalization, and Compression for Detection and Tracking by Dotan Kaufman et al
09-25-2019	Exact confidence interval for generalized Flajolet-Martin algorithms by Giacomo Aletti
09-24-2019	Offline identification of surgical deviations in laparoscopic rectopexy by Arnaud Huaulmé et al
09-25-2019	Accurate and Compact Convolutional Neural Networks with Trained Binarization by Zhe Xu et al
09-25-2019	Reducing Transformer Depth on Demand with Structured Dropout by Angela Fan et al
09-24-2019	Anchor Loss: Modulating Loss Scale based on Prediction Difficulty by Serim Ryou et al
09-24-2019	Exascale Deep Learning for Scientific Inverse Problems by Nouamane Laanait et al
09-24-2019	Understanding Semantics from Speech Through Pre-training by Pengwei Wang et al
09-24-2019	Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding by Chao-Wei Huang et al
09-25-2019	Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models by Cheolhyoung Lee et al
09-24-2019	Deep Text Mining of Instagram Data Without Strong Supervision by Kim Hammar et al
09-24-2019	Avoidance Learning Using Observational Reinforcement Learning by David Venuto et al
09-24-2019	Paying Attention to Function Words by Shane Steinert-Threlkeld
09-25-2019	CAT: Compression-Aware Training for bandwidth reduction by Chaim Baskin et al
09-25-2019	Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimensions by Yangang Chen et al
09-25-2019	Regularising Deep Networks with DGMs by Matthew Willetts et al
09-24-2019	Scale-Equivariant Neural Networks with Decomposed Convolutional Filters by Wei Zhu et al
09-24-2019	Gap Aware Mitigation of Gradient Staleness by Saar Barkai et al
09-24-2019	WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series by Michael Poli et al
09-24-2019	Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches by Khai Nguyen Doan et al
09-24-2019	Understanding and Improving One-shot Neural Architecture Optimization by Renqian Luo et al
09-24-2019	Switched linear projections and inactive state sensitivity for deep neural network interpretability by Lech Szymanski et al
09-25-2019	Multi-Dimensional Explanation of Reviews by Diego Antognini et al
09-24-2019	Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter by Pooya Abolghasemi et al
09-24-2019	Semi-supervised classification on graphs using explicit diffusion dynamics by Robert L. Peach et al
09-24-2019	Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture by Rüdiger Schmitz et al
09-24-2019	When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations by John Gideon et al
09-24-2019	Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis by Franco M. Luque
09-24-2019	Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World by Julianna D. Ianni et al
09-24-2019	Sign-OPT: A Query-Efficient Hard-label Adversarial Attack by Minhao Cheng et al
09-24-2019	Matrix Sketching for Secure Collaborative Machine Learning by Shusen Wang
09-25-2019	Asymptotics of Wide Networks from Feynman Diagrams by Ethan Dyer et al
09-24-2019	Improving Collaborative Metric Learning with Efficient Negative Sampling by Viet-Anh Tran et al
09-25-2019	Determining offshore wind installation times using machine learning and open data by Bo Tranberg et al
09-25-2019	Modelling the influence of data structure on learning in neural networks by Sebastian Goldt et al
09-25-2019	Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders by Matthew Willetts et al
09-25-2019	Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms by Morgan Heisler et al
09-25-2019	Attention-based Deep Tropical Cyclone Rapid Intensification Prediction by Ching-Yuan Bai et al
09-24-2019	Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting by Tanwi Mallick et al
09-25-2019	Deep Dynamics Models for Learning Dexterous Manipulation by Anusha Nagabandi et al
09-25-2019	Classification Logit Two-sample Testing by Neural Networks by Xiuyuan Cheng et al
09-25-2019	Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation by Simon Luo et al
09-25-2019	A Generative Model for Molecular Distance Geometry by Gregor N. C. Simm et al
09-24-2019	Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network by Taiji Suzuki
09-24-2019	Invariant Transform Experience Replay by Yijiong Lin et al
09-25-2019	Adversarial Variational Domain Adaptation by Manuel Pérez-Carrasco et al
09-24-2019	Multi-agent Interactive Prediction under Challenging Driving Scenarios by Weihao Xuan et al
09-24-2019	Online Semi-Supervised Concept Drift Detection with Density Estimation by Chang How Tan et al
09-24-2019	Automated identification of neural cells in the multi-photon images using deep-neural networks by Si-Baek Seong et al
09-24-2019	Learning definable hypotheses on trees by Emilie Grienenberger et al
09-24-2019	Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis by C. Gary Mena et al
09-24-2019	Reservoir Topology in Deep Echo State Networks by Claudio Gallicchio et al
09-24-2019	Structured Graph Learning Via Laplacian Spectral Constraints by Sandeep Kumar et al
09-25-2019	Decoder Choice Network for Meta-Learning by Jialin Liu et al
09-24-2019	Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping by Shusen Wang
09-25-2019	ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots by Michael Ahn et al
09-25-2019	Mining Human Mobility Data to Discover Locations and Habits by Thiago Andrade et al
09-25-2019	OCTNet: Trajectory Generation in New Environments from Past Experiences by Weiming Zhi et al
09-24-2019	Constrained deep neural network architecture search for IoT devices accounting hardware calibration by Florian Scheidegger et al
09-24-2019	Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks by Ruud van Deursen et al
09-24-2019	dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance by Jo Schlemper et al
09-25-2019	On Understanding Knowledge Graph Representation by Carl Allen et al
09-25-2019	High Fidelity Speech Synthesis with Adversarial Networks by Mikołaj Bińkowski et al
09-24-2019	Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments by Krishan Rana et al
09-25-2019	HaarPooling: Graph Pooling with Compressive Haar Basis by Yu Guang Wang et al
09-25-2019	Graph Neural Reasoning May Fail in Proving Boolean Unsatisfiability by Ziliang Chen et al
09-25-2019	Wider Networks Learn Better Features by Dar Gilboa et al
09-24-2019	Jointly Learning to Detect Emotions and Predict Facebook Reactions by Lisa Graziani et al
09-25-2019	CLN2INV: Learning Loop Invariants with Continuous Logic Networks by Gabriel Ryan et al
09-25-2019	Optimally Compressed Nonparametric Online Learning by Alec Koppel et al
09-25-2019	C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning by Taewoo Kim et al
09-25-2019	Neural networks are a prioria priori biased towards Boolean functions with low entropy by Chris Mingard et al
09-24-2019	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI by Yiling Liu et al
09-24-2019	A Neural Network Based Method to Solve Boundary Value Problems by Sethu Hareesh Kolluru
09-25-2019	αααα-Rank: Scalable Multi-agent Evaluation through Evolution by Yaodong Yang et al
09-26-2019	GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks by Avraam Chatzimichailidis et al
09-25-2019	Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks by Sara Hosseinzadeh Kassani et al
09-26-2019	Attributed Graph Learning with 2-D Graph Convolution by Qimai Li et al
09-26-2019	Towards neural networks that provably know when they dont know by Alexander Meinke et al
09-26-2019	A Decision-Based Dynamic Ensemble Selection Method for Concept Drift by Regis Antonio Saraiva Albuquerque et al
09-26-2019	A Simulation of UAV Power Optimization via Reinforcement Learning by AE. Niaraki Asli et al
09-26-2019	Support Vector Machines on Noisy Intermediate Scale Quantum Computers by Jiaying Yang et al
09-26-2019	Randomized Iterative Methods for Linear Systems: Momentum, Inexactness and Gossip by Nicolas Loizou
09-25-2019	DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems by Adam Rupe et al
09-26-2019	Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis by Wen Liu et al
09-26-2019	Implicit Semantic Data Augmentation for Deep Networks by Yulin Wang et al
09-25-2019	Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks by Ameya D. Jagtap et al
09-25-2019	Unsupervised Domain Adaptation through Self-Supervision by Yu Sun et al
09-25-2019	Model Imitation for Model-Based Reinforcement Learning by Yueh-Hua Wu et al
09-25-2019	Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks by Sajad Mousavi et al
09-25-2019	PCMC-Net: Feature-based Pairwise Choice Markov Chains by Alix Lhéritier
09-25-2019	UNITER: Learning UNiversal Image-TExt Representations by Yen-Chun Chen et al
09-25-2019	Breast Cancer Diagnosis with Transfer Learning and Global Pooling by Sara Hosseinzadeh Kassani et al
09-26-2019	Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks by Patrik Reizinger et al
09-26-2019	Towards Explainable Artificial Intelligence by Wojciech Samek et al
09-26-2019	V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control by H. Francis Song et al
09-25-2019	Mathematical Reasoning in Latent Space by Dennis Lee et al
09-25-2019	A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI by Irem Cetin et al
09-25-2019	Unsupervised Universal Self-Attention Network for Graph Classification by Dai Quoc Nguyen et al
09-24-2019	D3M: A deep domain decomposition method for partial differential equations by Ke Li et al

09-26-2019	The Implicit Bias of Depth: How Incremental Learning Drives Generalization by Daniel Gissin et al
09-25-2019	Data Valuation using Reinforcement Learning by Jinsung Yoon et al
09-25-2019	Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data by Nishant Gurunath et al
09-25-2019	A Theoretical Analysis of the Number of Shots in Few-Shot Learning by Tianshi Cao et al
09-25-2019	Revisit Knowledge Distillation: a Teacher-free Framework by Li Yuan et al
09-26-2019	Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation by Ze Yang et al
09-26-2019	Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison by Yi Huang et al
09-25-2019	GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning by Vikas Verma et al
09-26-2019	RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods by Shay Vargaftik et al
09-26-2019	Harnessing Structures for Value-Based Planning and Reinforcement Learning by Yuzhe Yang et al
09-26-2019	Sequential Training of Neural Networks with Gradient Boosting by Gonzalo Martínez-Muñoz
09-25-2019	Benefit of Interpolation in Nearest Neighbor Algorithms by Yue Xing et al
09-25-2019	Stochastic Prototype Embeddings by Tyler R. Scott et al
09-26-2019	A Framework for Data-Driven Robotics by Serkan Cabi et al
09-25-2019	A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification by Sara Hosseinzadeh Kassani et al
09-25-2019	Representation Learning with Ordered Relation Paths for Knowledge Graph Completion by Yao Zhu et al
09-26-2019	Quantum Graph Neural Networks by Guillaume Verdon et al
09-26-2019	Attention Forcing for Sequence-to-sequence Model Training by Qingyun Dou et al
09-26-2019	Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control by Yaofeng Desmond Zhong et al
09-26-2019	In-field grape berries counting for yield estimation using dilated CNNs by L. Coviello et al
09-26-2019	Two-stage Image Classification Supervised by a Single Teacher Single Student Model by Jianhang Zhou et al
09-25-2019	Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems by Byeongsu Sim et al
09-25-2019	Explaining and Interpreting LSTMs by Leila Arras et al
09-25-2019	Good Robot!: Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping by Andrew Hundt et al
09-26-2019	FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging by Doyen Sahoo et al
09-25-2019	Probabilistic Forecasting using Deep Generative Models by Alessandro Fanfarillo et al
09-26-2019	Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation by Huixin Zhan et al
09-26-2019	Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper by Qi Deng
09-26-2019	Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement by Jan Deriu et al
09-26-2019	Set Functions for Time Series by Max Horn et al
09-25-2019	LAVAE: Disentangling Location and Appearance by Andrea Dittadi et al
09-25-2019	Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems by Antonio Ginart et al
09-26-2019	Lower Bounds on Adversarial Robustness from Optimal Transport by Arjun Nitin Bhagoji et al
09-26-2019	RLBench: The Robot Learning Benchmark & Learning Environment by Stephen James et al
09-26-2019	ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts by Subba Reddy Oota et al
09-26-2019	DCTD: Deep Conditional Target Densities for Accurate Regression by Fredrik K. Gustafsson et al
09-26-2019	StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search by Guilin Li et al
09-25-2019	Function Preserving Projection for Scalable Exploration of High-Dimensional Data by Shusen Liu et al
09-25-2019	Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments by Yi Shi et al
09-26-2019	Follows Form: Regression from Complete Thoracic Computed Tomography Scans by Max Argus et al
09-26-2019	Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks by Ziwei Ji et al
09-26-2019	High-Dimensional Control Using Generalized Auxiliary Tasks by Yannis Flet-Berliac et al
09-26-2019	Deep Learning-based Polar Code Design by Moustafa Ebada et al
09-26-2019	Debiased Bayesian inference for average treatment effects by Kolyan Ray et al
09-26-2019	Low-Resource Response Generation with Template Prior by Ze Yang et al
09-25-2019	Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning by Vitaly Kurin et al
09-25-2019	Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift by Nairouz Mrabah et al
09-25-2019	GAMIN: An Adversarial Approach to Black-Box Model Inversion by Ulrich Aïvodji et al
09-25-2019	Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently by Rong Ge et al
09-26-2019	B-Spline CNNs on Lie Groups by Erik J Bekkers
09-26-2019	Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples by Tengyu Xu et al
09-26-2019	Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks by Chang-Le Liu et al
09-24-2019	A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks by Kostas Hatalis et al
09-24-2019	Autoencoder-Based Error Correction Coding for One-Bit Quantization by Eren Balevi et al
09-26-2019	Intensity-Free Learning of Temporal Point Processes by Oleksandr Shchur et al
09-25-2019	ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities by Chang Liu et al
09-25-2019	Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient by Yunhui Guo et al
09-25-2019	FreeLB: Enhanced Adversarial Training for Language Understanding by Chen Zhu et al
09-26-2019	GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue by Jun Quan et al
09-25-2019	A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks by Masoud Badiei Khuzani et al
09-26-2019	Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks by Ruoxi Yu et al
09-26-2019	Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning by Yue Wang et al
09-26-2019	Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition by Haseeb Nazki et al
09-24-2019	Controlling an Autonomous Vehicle with Deep Reinforcement Learning by Andreas Folkers et al
09-25-2019	A Predictive On-Demand Placement of UAV Base Stations Using Echo State Network by Haoran Peng et al
09-25-2019	Manifold Forests: Closing the Gap on Neural Networks by Ronan Perry et al
09-25-2019	Explicitly disentangling image content from translation and rotation with spatial-VAE by Tristan Bepler et al
09-26-2019	Towards Understanding the Transferability of Deep Representations by Hong Liu et al
09-25-2019	A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks by Wei Hao Khoong
09-25-2019	Stock Prices Prediction using Deep Learning Models by Jialin Liu et al
09-25-2019	Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection by Nilesh A. Ahuja et al
09-25-2019	bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) by Nikolaus Umlauf et al
09-26-2019	PairNorm: Tackling Oversmoothing in GNNs by Lingxiao Zhao et al
09-26-2019	Complex Network based Supervised Keyword Extractor by Swagata Duari et al
09-25-2019	Residual Networks Behave Like Boosting Algorithms by Chapman Siu
09-25-2019	MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit by John Palowitch et al
09-25-2019	Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction by Jo Schlemper et al
09-26-2019	Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network by Sheng Wan et al
09-26-2019	Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles by Jelena Fiosina et al
09-26-2019	Exascale Deep Learning to Accelerate Cancer Research by Robert M. Patton et al
09-26-2019	Galaxy Image Simulation Using Progressive GANs by Mohamad Dia et al
09-25-2019	A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis by Leihong Zhang et al
09-25-2019	The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario by Thanh Le et al
09-26-2019	Overlapping Community Detection with Graph Neural Networks by Oleksandr Shchur et al
09-26-2019	Drawing early-bird tickets: Towards more efficient training of deep networks by Haoran You et al
09-26-2019	Explainable Deep Learning for Augmentation of sRNA Expression Profiles by Jelena Fiosina et al
09-26-2019	Deep Video Deblurring: The Devil is in the Details by Jochen Gast et al
09-26-2019	Information Scrambling in Quantum Neural Networks by Huitao Shen et al
09-26-2019	Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification by Youngmoon Jung et al
09-26-2019	Smart Ternary Quantization by Grégoire Morin et al