2020.01.27 Learning papers

01-24-2020	MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers by Muhammad Raza Khan et al
01-23-2020	On the human evaluation of audio adversarial examples by Jon Vadillo et al
01-21-2020	Keyword-based Topic Modeling and Keyword Selection by Xingyu Wang et al
01-21-2020	Optimal estimation of sparse topic models by Xin Bing et al
01-21-2020	Pruning Neural Belief Propagation Decoders by Andreas Buchberger et al
01-22-2020	From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder by Victor Berger et al
01-22-2020	Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication by Hamza Khan et al
01-23-2020	Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning by Jianyu Chen et al
01-21-2020	Lyceum: An efficient and scalable ecosystem for robot learning by Colin Summers et al
01-21-2020	Simple and Effective Graph Autoencoders with One-Hop Linear Models by Guillaume Salha et al
01-22-2020	Representation Learning for Medical Data by Karol Antczak
01-22-2020	On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation by Nicolas Brosse et al
01-22-2020	Attention! A Lightweight 2D Hand Pose Estimation Approach by Nicholas Santavas et al
01-21-2020	Secure and Robust Machine Learning for Healthcare: A Survey by Adnan Qayyum et al
01-23-2020	Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation by Yifei Chen et al
01-23-2020	Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation by Kang Min Yoo et al
01-23-2020	RPN: A Residual Pooling Network for Efficient Federated Learning by Anbu Huang et al
01-23-2020	Learning Distributional Programs for Relational Autocompletion by Kumar Nitesh et al
01-21-2020	Unsupervisedly Learned Representations: Should the Quest be Over? by Daniel N. Nissani
01-23-2020	Communication Efficient Federated Learning over Multiple Access Channels by Wei-Ting Chang et al
01-23-2020	Ada-LISTA: Learned Solvers Adaptive to Varying Models by Aviad Aberdam et al
01-23-2020	Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation by Yu-Tung Liu et al
01-21-2020	Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning by Nilaksh Das et al
01-22-2020	Pruning CNNs with linear filter ensembles by Csanád Sándor et al
01-22-2020	Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation by Di Jin et al
01-23-2020	MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks by Jihoon Ko et al
01-23-2020	Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods by Yahia Assiri
01-23-2020	A Study of the Tasks and Models in Machine Reading Comprehension by Chao Wang
01-21-2020	Deceptive AI Explanations: Creation and Detection by Johannes Schneider et al
01-23-2020	EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources by Abhijit Suprem et al
01-23-2020	Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework by Guangliang Li et al
01-21-2020	Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework by Subhayan Mukherjee et al
01-21-2020	When does the Tukey median work? by Banghua Zhu et al
01-22-2020	Q-Learning in enormous action spaces via amortized approximate maximization by Tom Van de Wiele et al
01-21-2020	EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions by Nadia Berthouze et al
01-21-2020	Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework by Awais Ahmed et al
01-22-2020	Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation by Haiyue Song et al
01-22-2020	Continual Local Replacement for Few-shot Image Recognition by Canyu Le et al
01-23-2020	Brain Tumor Classification Using Deep Learning Technique -- A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes by Ali Mohammad Alqudah et al
01-23-2020	Improving generalisation of AutoML systems with dynamic fitness evaluations by Benjamin Patrick Evans et al
01-23-2020	Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation by Ivo M. Baltruschat et al
01-23-2020	Autonomous Control of a Line Follower Robot Using a Q-Learning Controller by Sepehr Saadatmand et al
01-21-2020	Understanding Why Neural Networks Generalize Well Through GSNR of Parameters by Jinlong Liu et al
01-23-2020	Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations by Sourav Garg et al
01-23-2020	Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis by Sadanand Singh et al
01-23-2020	A Hypersensitive Breast Cancer Detector by Stefano Pedemonte et al
01-23-2020	A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams by Thomas P. Matthews et al
01-23-2020	Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples by Ya-guan Qian et al
01-21-2020	Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem by Kun He et al
01-21-2020	CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media by Alberto Barron-Cedeno et al
01-22-2020	Stratified cross-validation for unbiased and privacy-preserving federated learning by R. Bey et al
01-21-2020	PDS: Deduce Elder Privacy from Smart Homes by Ming-Chang Lee et al
01-22-2020	Scaling Laws for Neural Language Models by Jared Kaplan et al
01-22-2020	A Multi-Scale Tensor Network Architecture for Classification and Regression by Justin Reyes et al
01-22-2020	A Deep Learning Approach to Behavior-Based Learner Modeling by Yuwei Tu et al
01-23-2020	Graph Constrained Reinforcement Learning for Natural Language Action Spaces by Prithviraj Ammanabrolu et al
01-24-2020	Active Learning for Entity Alignment by Max Berrendorf et al
01-21-2020	batchboost: regularization for stabilizing training with resistance to underfitting & overfitting by Maciej A. Czyzewski
01-21-2020	EdgeNets:Edge Varying Graph Neural Networks by Elvin Isufi et al
01-23-2020	Interventions for Ranking in the Presence of Implicit Bias by L. Elisa Celis et al
01-23-2020	Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function by Sorour Mohajerani et al
01-21-2020	Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP by Ying Xu et al
01-21-2020	Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification by Derek DeSantis et al
01-23-2020	Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data by Valentina Shumovskaia et al
01-21-2020	Emergence of Pragmatics from Referential Game between Theory of Mind Agents by Luyao Yuan et al
01-23-2020	A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium by Qun Liu et al
01-23-2020	Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms by Arkadiy Dushatskiy et al
01-23-2020	Information Compensation for Deep Conditional Generative Networks by Zehao Wang et al
01-23-2020	Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks by Chuan Wang et al
01-21-2020	Wrapper Feature Selection Algorithm for the Optimization of an Indicator System of Patent Value Assessment by Yihui Qiu et al
01-21-2020	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures by Mohamed El Amine Seddik et al
01-23-2020	A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting by Zhengkun Li et al
01-21-2020	Ensemble Genetic Programming by Nuno M. Rodrigues et al
01-21-2020	Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute by Tiphaine Viard et al
01-24-2020	An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection by Rujikorn Charakorn et al
01-24-2020	PoWER-BERT: Accelerating BERT inference for Classification Tasks by Saurabh Goyal et al
01-24-2020	When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions by Yalin E. Sagduyu et al
01-24-2020	PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces by Luna M. Zhang
01-24-2020	Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network by Mary Gooneratne et al
01-21-2020	Mobility Inference on Long-Tailed Sparse Trajectory by Lei Shi
01-21-2020	Generate High-Resolution Adversarial Samples by Identifying Effective Features by Sizhe Chen et al
01-23-2020	Deep Bayesian Network for Visual Question Generation by Badri N. Patro et al
01-21-2020	LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching by Angfan Zhu et al
01-23-2020	Multi-objective Neural Architecture Search via Non-stationary Policy Gradient by Zewei Chen et al
01-21-2020	Improving Label Ranking Ensembles using Boosting Techniques by Lihi Dery et al
01-22-2020	FsNet: Feature Selection Network on High-dimensional Biological Data by Dinesh Singh et al
01-23-2020	I Feel I Feel You: A Theory of Mind Experiment in Games by David Melhart et al
01-21-2020	Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities by Zhongruo Wang et al
01-22-2020	GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation by Nikhil Goyal et al
01-22-2020	Discovering Salient Anatomical Landmarks by Predicting Human Gaze by Richard Droste et al
01-22-2020	Automatic phantom test pattern classification through transfer learning with deep neural networks by Rafael B. Fricks et al
01-22-2020	Target-Embedding Autoencoders for Supervised Representation Learning by Daniel Jarrett et al
01-24-2020	Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls by Oliver S. Kirsebom et al
01-24-2020	Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation by Hossein A. Rahmani et al
01-23-2020	MRI Banding Removal via Adversarial Training by Aaron Defazio et al
01-21-2020	Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics by David Millard et al
01-21-2020	Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes by Daniele Gammelli et al
01-22-2020	On Solving Cooperative MARL Problems with a Few Good Experiences by Rajiv Ranjan Kumar et al
01-23-2020	Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation by Byung Hoon Ahn et al
01-23-2020	Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders by Mohammad Golbabaee et al
01-23-2020	Reducing the Representation Error of GAN Image Priors Using the Deep Decoder by Max Daniels et al
01-23-2020	Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings by Tuukka Salmi et al
01-22-2020	A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy by Marco A. Pinto-Orellana et al
01-22-2020	Towards A Controllable Disentanglement Network by Zengjie Song et al
01-22-2020	Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study by Nathaniel Braman et al
01-22-2020	Machine Learning for Network Slicing Resource Management: A Comprehensive Survey by Bin Han et al
01-22-2020	BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method by Xiaolong Ma et al
01-24-2020	Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis by Carlos Sevilla-Salcedo et al
01-24-2020	A continuum limit for the PageRank algorithm by Amber Yuan et al
01-21-2020	Multimodal Deep Unfolding for Guided Image Super-Resolution by Iman Marivani et al
01-21-2020	TopRank+: A Refinement of TopRank Algorithm by Victor de la Pena et al
01-21-2020	A Comprehensive Study on Temporal Modeling for Online Action Detection by Wen Wang et al
01-24-2020	Effectively Trainable Semi-Quantum Restricted Boltzmann Machine by Ya. S. Lyakhova et al
01-21-2020	Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques by Seyed Mehdi Ayyoubzadeh et al
01-21-2020	Block-wise Scrambled Image Recognition Using Adaptation Network by Koki Madono et al
01-21-2020	Variational Dropout Sparsification for Particle Identification speed-up by Artem Ryzhikov et al
01-22-2020	Local Policy Optimization for Trajectory-Centric Reinforcement Learning by Patrik Kolaric et al
01-21-2020	Evaluating Weakly Supervised Object Localization Methods Right by Junsuk Choe et al
01-21-2020	Fast Sequence-Based Embedding with Diffusion Graphs by Benedek Rozemberczki et al
01-22-2020	Normalization of Input-output Shared Embeddings in Text Generation Models by Jinyang Liu et al
01-21-2020	GhostImage: Perception Domain Attacks against Vision-based Object Classification Systems by Yanmao Man et al
01-21-2020	Weakly Supervised Temporal Action Localization Using Deep Metric Learning by Ashraful Islam et al
01-21-2020	Loss-annealed GAIL for sample efficient and stable Imitation Learning by Rohit Jena et al
01-22-2020	Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling by Clarence Chen et al
01-21-2020	Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification by Yadong Zhang et al
01-23-2020	Whats a Good Prediction? Issues in Evaluating General Value Functions Through Error by Alex Kearney et al
01-23-2020	Expected Information Maximization: Using the I-Projection for Mixture Density Estimation by Philipp Becker et al
01-22-2020	Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features by Leihao Wei et al
01-23-2020	The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework by Chandan K. A. Reddy et al
01-21-2020	Explicit agreement extremes for a 2×22×2 table with given marginals by José E. Chacón
01-21-2020	Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach by Carlos Fernandez et al
01-21-2020	Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities by Kaixuan Chen et al
01-24-2020	A Branching and Merging Convolutional Network with Homogeneous Filter Capsules by Adam Byerly et al
01-21-2020	Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods by Qi Zhou et al
01-24-2020	Theoretically Expressive and Edge-aware Graph Learning by Federico Errica et al
01-24-2020	MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network by Priyabrata Saha et al
01-22-2020	Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients by Tiffany Tuor et al
01-21-2020	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence by Kihyuk Sohn et al
01-23-2020	Scattering Features for Multimodal Gait Recognition by Srđan Kitić et al
01-23-2020	SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency by Zhengang Li et al
01-23-2020	Semi-Autoregressive Training Improves Mask-Predict Decoding by Marjan Ghazvininejad et al
01-23-2020	An O(sr)O(sr)-Resolution ODE Framework for Discrete-Time Optimization Algorithms and Applications to Convex-Concave Saddle-Point Problems by Haihao Lu
01-23-2020	Structured Compression and Sharing of Representational Space for Continual Learning by Gobinda Saha et al
01-23-2020	Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting by Zixin Zhong et al
01-21-2020	Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects by Fredrik D. Johansson et al
01-23-2020	Sensor-based Continuous Authentication of Smartphones Users Using Behavioral Biometrics: A Survey by Mohammed Abuhamad et al
01-24-2020	Reasoning About Generalization via Conditional Mutual Information by Thomas Steinke et al
01-24-2020	Semi-supervised ASR by End-to-end Self-training by Yang Chen et al
01-23-2020	Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees by Yongchun Li et al
01-23-2020	Machine learning based co-creative design framework by Brian Quanz et al
01-22-2020	Optimal binning: mathematical programming formulation by Guillermo Navas-Palencia
01-22-2020	Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case by Neo Wu et al
01-22-2020	Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks by Oliver Willers et al
01-24-2020	Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach by Abhijit Suprem et al
01-24-2020	Compressing Language Models using Doped Kronecker Products by Urmish Thakker et al
01-23-2020	Compositional properties of emergent languages in deep learning by Bence Keresztury et al
01-21-2020	NeurOpt: Neural network based optimization for building energy management and climate control by Achin Jain et al
01-24-2020	Deep Non-Line-of-Sight Reconstruction by Javier Grau Chopite et al
01-24-2020	Towards Graph Representation Learning in Emergent Communication by Agnieszka Słowik et al
01-24-2020	Kernel of CycleGAN as a Principle homogeneous space by Nikita Moriakov et al
01-21-2020	ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network by Nathanaël Carraz Rakotonirina et al
01-21-2020	A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis by Christopher J. Urban et al
01-23-2020	Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning by Evan Schwab et al
01-24-2020	RePAD: Real-time Proactive Anomaly Detection for Time Series by Ming-Chang Lee et al
01-21-2020	Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method by H. Shibata et al
01-21-2020	Convergence Time Optimization for Federated Learning over Wireless Networks by Mingzhe Chen et al
01-21-2020	Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion by Wen-Chin Huang et al
01-23-2020	Towards Automatic Clustering Analysis using Traces of Information Gain: The InfoGuide Method by Paulo Rocha et al
01-21-2020	Learning Diverse Features with Part-Level Resolution for Person Re-Identification by Ben Xie et al
01-22-2020	Machine Learning assisted Handover and Resource Management for Cellular Connected Drones by Amin Azari et al
01-22-2020	CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking by Grigori Fursin et al
01-22-2020	Adversarial Attack on Community Detection by Hiding Individuals by Jia Li et al
01-22-2020	How Much Position Information Do Convolutional Neural Networks Encode? by Md Amirul Islam et al
01-22-2020	PENet: Object Detection using Points Estimation in Aerial Images by Ziyang Tang et al
01-22-2020	A Probabilistic Framework for Imitating Human Race Driver Behavior by Stefan Löckel et al
01-23-2020	A Large Scale Event-based Detection Dataset for Automotive by Pierre de Tournemire. Davide Nitti et al
01-22-2020	Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization by Sheng Zhong et al
01-21-2020	R2DE: a NLP approach to estimating IRT parameters of newly generated questions by Luca Benedetto et al
01-23-2020	Universal Data Anomaly Detection via Inverse Generative Adversary Network by Kursat Rasim Mestav et al
01-21-2020	Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection by Lukas P. Fröhlich et al
01-22-2020	On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore et al
01-21-2020	Incentivising Exploration and Recommendations for Contextual Bandits with Payments by Priyank Agrawal et al
01-23-2020	Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model by Qing Wan et al
01-21-2020	Designing for the Long Tail of Machine Learning by Martin Lindvall et al
01-21-2020	Learning to Control PDEs with Differentiable Physics by Philipp Holl et al
01-21-2020	SA vs SAA for population Wasserstein barycenter calculation by Darina Dvinskikh
01-22-2020	Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification by Jiawei Zhang
01-24-2020	Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks by Se Un Park
01-24-2020	PDE-based Group Equivariant Convolutional Neural Networks by Bart Smets et al
01-22-2020	Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning by Haozhao Wang et al
01-22-2020	Transition-Based Dependency Parsing using Perceptron Learner by Rahul Radhakrishnan Iyer et al
01-24-2020	SOLAR: Second-Order Loss and Attention for Image Retrieval by Tony Ng et al
01-23-2020	Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space by Mridul Mahajan et al
01-21-2020	Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment by Tianzhu Ren et al
01-22-2020	Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization by Bruno Taillé et al
01-22-2020	GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning by Rohan Chitnis et al
01-23-2020	Robust Explanations for Visual Question Answering by Badri N. Patro et al
01-23-2020	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation by Hung-Yu Tseng et al
01-23-2020	Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms by T. Tony Cai et al
01-23-2020	Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification by Penny Chong et al
01-22-2020	DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction by Xingyao Zhang et al