2019.07.07 Learning papers

07-03-2019	Benchmarking Model-Based Reinforcement Learning by Tingwu Wang et al
07-03-2019	Supervised Uncertainty Quantification for Segmentation with Multiple Annotations by Shi Hu et al
07-04-2019	Large Scale Adversarial Representation Learning by Jeff Donahue et al
07-02-2019	Generative Models for Automatic Chemical Design by Daniel Schwalbe-Koda et al
07-02-2019	Dynamics-Aware Unsupervised Discovery of Skills by Archit Sharma et al
07-04-2019	Diffprivlib: The IBM Differential Privacy Library by Naoise Holohan et al
07-04-2019	Lumi\`ereNet: Lecture Video Synthesis from Audio by Byung-Hak Kim et al
07-03-2019	DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images by Jimit Doshi et al
07-02-2019	Learning to Traverse Latent Spaces for Musical Score Inpainting by Ashis Pati et al
07-03-2019	On the Weaknesses of Reinforcement Learning for Neural Machine Translation by Leshem Choshen et al
07-02-2019	Graph Neural Network for Interpreting Task-fMRI Biomarkers by Xiaoxiao Li et al
07-03-2019	On-Device Neural Net Inference with Mobile GPUs by Juhyun Lee et al
07-03-2019	Non-structured DNN Weight Pruning Considered Harmful by Yanzhi Wang et al
07-02-2019	Learning the Arrow of Time by Nasim Rahaman et al
07-03-2019	Online Mixed-Integer Optimization in Milliseconds by Dimitris Bertsimas et al
07-02-2019	Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images by Yinhao Ren et al
07-03-2019	A Quantum Field Theory of Representation Learning by Robert Bamler et al
07-05-2019	Invariant Risk Minimization by Martin Arjovsky et al
07-04-2019	Supervised Symbolic Music Style Translation Using Synthetic Data by Ondřej Cífka et al
07-04-2019	Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction by Susanne Trick et al
07-02-2019	Learning graph-structured data using Poincar\e embeddings and Riemannian K-means algorithms by Hatem Hajri et al
07-02-2019	Neural Image Captioning by Elaina Tan et al
07-04-2019	Guided Image Generation with Conditional Invertible Neural Networks by Lynton Ardizzone et al
07-03-2019	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search by Xiangxiang Chu et al
07-02-2019	WHAM!: Extending Speech Separation to Noisy Environments by Gordon Wichern et al
07-02-2019	Sequence Labeling Parsing by Learning Across Representations by Michalina Strzyz et al
07-03-2019	The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification by Khaled Koutini et al
07-04-2019	Graph-based Knowledge Distillation by Multi-head Self-attention Network by Seunghyun Lee et al
07-04-2019	DeePCCI: Deep Learning-based Passive Congestion Control Identification by Constantin Sander et al
07-03-2019	Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling by Florian Piewak et al
07-03-2019	An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning by Duan Wei et al
07-02-2019	Augmenting Self-attention with Persistent Memory by Sainbayar Sukhbaatar et al
07-03-2019	Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model by Akira Kinose et al
07-03-2019	The Indirect Convolution Algorithm by Marat Dukhan
07-03-2019	Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack by Francesco Croce et al
07-02-2019	MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation by Xia Liang et al
07-05-2019	Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation by Micha Pfeiffer et al
07-02-2019	Learning from satisfying assignments under continuous distributions by Clément L. Canonne et al
07-02-2019	Obj-GloVe: Scene-Based Contextual Object Embedding by Canwen Xu et al
07-02-2019	Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview by Chenfeng Guo et al
07-03-2019	Accelerating Deconvolution on Unmodified CNN Accelerators for Generative Adversarial Networks -- A Software Approach by Kaijie Tu
07-04-2019	From Pixels to Affect: A Study on Games and Player Experience by Konstantinos Makantasis et al
07-04-2019	Multi-Task Learning for Coherence Modeling by Youmna Farag et al
07-02-2019	Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy by Aaron M. Roth et al
07-02-2019	Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks by Shuangjia Zheng et al
07-02-2019	MimosaNet: An Unrobust Neural Network Preventing Model Stealing by Kálmán Szentannai et al
07-04-2019	On Validating, Repairing and Refining Heuristic ML Explanations by Alexey Ignatiev et al
07-05-2019	On Inductive Biases in Deep Reinforcement Learning by Matteo Hessel et al
07-05-2019	Improved local search for graph edit distance by Nicolas Boria et al
07-04-2019	On Explaining Machine Learning Models by Evolving Crucial and Compact Features by Marco Virgolin et al
07-03-2019	A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms by Dimitris Bertsimas et al
07-03-2019	Reasoning and Generalization in RL: A Tool Use Perspective by Sam Wenke et al
07-04-2019	Neural Networks, Hypersurfaces, and Radon Transforms by Soheil Kolouri et al
07-02-2019	The Role of Memory in Stochastic Optimization by Antonio Orvieto et al
07-03-2019	Spatially-Coupled Neural Network Architectures by Arman Hasanzadeh et al
07-02-2019	Towards Interpretable Deep Extreme Multi-label Learning by Yihuang Kang et al
07-05-2019	Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units by Lakmal Meegahapola et al
07-02-2019	Machine Learning based Prediction of Hierarchical Classification of Transposable Elements by Manisha Panta et al
07-03-2019	Adaptive Approximation and Estimation of Deep Neural Network to Intrinsic Dimensionality by Ryumei Nakada et al
07-03-2019	An Item Recommendation Approach by Fusing Images based on Neural Networks by Weibin Lin et al
07-04-2019	k is the Magic Number -- Inferring the Number of Clusters Through Nonparametric Concentration Inequalities by Sibylle Hess et al
07-05-2019	Incremental Concept Learning via Online Generative Memory Recall by Huaiyu Li et al
07-05-2019	Attentive Multi-Task Deep Reinforcement Learning by Timo Bram et al
07-02-2019	Where are the Masks: Instance Segmentation with Image-level Supervision by Issam H. Laradji et al
07-04-2019	Explaining Predictions from Tree-based Boosting Ensembles by Ana Lucic et al
07-02-2019	Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images by Pranay Dugar et al
07-03-2019	Simple vs complex temporal recurrences for video saliency prediction by Panagiotis Linardos et al
07-04-2019	Locally Private k-Means Clustering by Uri Stemmer
07-02-2019	Time Series Anomaly Detection with Variational Autoencoders by Chunkai Zhang et al
07-03-2019	Preserving physically important variables in optimal event selections: A case study in Higgs physics by Philipp Windischhofer et al
07-03-2019	Learning with Known Operators reduces Maximum Training Error Bounds by Andreas K. Maier et al
07-04-2019	Evaluating the distribution learning capabilities of GANs by Amit Rege et al
07-03-2019	Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches by Matheus Guedes Vilas Boas et al
07-02-2019	Machine LLRning: Learning to Softly Demodulate by Ori Shental et al
07-05-2019	Twin Auxiliary Classifiers GAN by Mingming Gong et al
07-03-2019	Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches by Isaac Shiri et al
07-02-2019	Modified Actor-Critics by Erinc Merdivan et al
07-02-2019	Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging by Huidong Xie et al
07-02-2019	Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning by Felix Anda et al
07-02-2019	Unsupervised Deformable Image Registration Using Cycle-Consistent CNN by Boah Kim et al
07-03-2019	Measuring the Data Efficiency of Deep Learning Methods by Hlynur Davíð Hlynsson et al
07-02-2019	HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search by Dounia Lakhmiri et al
07-03-2019	Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound by Yi Wang et al
07-05-2019	Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications by Jae Duk Seo
07-02-2019	Compositional Structure Learning for Sequential Video Data by Kyoung-Woon On et al
07-03-2019	Deep neural network-based classification model for Sentiment Analysis by Donghang Pan et al
07-02-2019	Treant: Training Evasion-Aware Decision Trees by Stefano Calzavara et al
07-02-2019	A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning by Yo Joong Choe et al
07-04-2019	Dimensional Reweighting Graph Convolutional Networks by Xu Zou et al
07-02-2019	Adjustment Criteria for Recovering Causal Effects from Missing Data by Mojdeh Saadati et al
07-03-2019	Multi-Task Networks With Universe, Group, and Task Feature Learning by Shiva Pentyala et al
07-03-2019	Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards by Falcon Z. Dai et al
07-02-2019	SkeletonNet: Shape Pixel to Skeleton Pixel by Sabari Nathan et al
07-04-2019	A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks by Owen Marschall et al
07-02-2019	Attention model for articulatory features detection by Ievgen Karaulov et al
07-05-2019	Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model by Giuseppe Castellucci et al
07-02-2019	Structure fusion based on graph convolutional networks for semi-supervised classification by Guangfeng Lin et al
07-05-2019	Geodesic Learning via Unsupervised Decision Forests by Meghana Madhyastha et al
07-05-2019	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions by Yao Qin et al
07-03-2019	From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI by Roman Beliy et al
07-03-2019	Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation by Shuo Zhang et al
07-02-2019	A flexible EM-like clustering algorithm for noisy data by Violeta Roizman et al
07-03-2019	Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN by Brosnan Yuen
07-03-2019	A Hybrid Approach for Learning Program Representations by Ke Wang et al
07-02-2019	Best k-layer neural network approximations by Lek-Heng Lim et al
07-02-2019	Reproducibility in Machine Learning for Health by Matthew B. A. McDermott et al
07-02-2019	Generalizing from a few environments in safety-critical reinforcement learning by Zachary Kenton et al
07-04-2019	A Survey of Pruning Methods for Efficient Person Re-identification Across Domains by Hugo Masson et al
07-04-2019	Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification by Zhichao Zhang et al
07-03-2019	Benchmarking unsupervised near-duplicate image detection by Lia Morra et al
07-02-2019	Visual analytics for team-based invasion sports with significant events and Markov reward process by Kun Zhao et al
07-05-2019	A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach by Noé Tits
07-02-2019	Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition by Xingyu Li et al
07-04-2019	Unsupervised Anomaly Localization using Variational Auto-Encoders by David Zimmerer et al
07-03-2019	Variance Reduction for Matrix Games by Yair Carmon et al
07-04-2019	Fair Kernel Regression via Fair Feature Embedding in Kernel Space by Austin Okray et al
07-05-2019	Zero-shot Learning for Audio-based Music Classification and Tagging by Jeong Choi et al
07-05-2019	Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape by Johanni Brea et al
07-03-2019	Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments by Tong Geng et al
07-04-2019	Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment by Alex Gabourie et al
07-05-2019	Visus: An Interactive System for Automatic Machine Learning Model Building and Curation by Aécio Santos et al
07-02-2019	Operationalizing Individual Fairness with Pairwise Fair Representations by Preethi Lahoti et al
07-05-2019	Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes by Chinnadhurai Sankar et al
07-05-2019	Hybridized Threshold Clustering for Massive Data by Jianmei Luo et al
07-05-2019	An Approximate Bayesian Approach to Surprise-Based Learning by Vasiliki Liakoni et al
07-03-2019	libconform v0.1.0: a Python library for conformal prediction by Jonas Fassbender
07-02-2019	Voting-Based Multi-Agent Reinforcement Learning by Yue Xu et al
07-03-2019	Solving Partial Assignment Problems using Random Clique Complexes by Charu Sharma et al
07-03-2019	AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data by Zeyuan Wang et al
07-03-2019	High-Throughput Machine Learning from Electronic Health Records by Ross S. Kleiman et al
07-03-2019	Capacity Bounded Differential Privacy by Kamalika Chaudhuri et al
07-02-2019	Deep Transfer Learning For Whole-Brain fMRI Analyses by Armin W. Thomas et al
07-02-2019	Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation by Linh Nguyen et al
07-03-2019	On the Convergence of FedAvg on Non-IID Data by Xiang Li et al
07-02-2019	Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations by Gabriel Meseguer-Brocal et al
07-03-2019	Encoding high-cardinality string categorical variables by Patricio Cerda et al
07-04-2019	Probabilistic CCA with Implicit Distributions by Yaxin Shi et al
07-03-2019	Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses by Ulysse Marteau-Ferey et al
07-02-2019	Applying Transfer Learning To Deep Learned Models For EEG Analysis by Axel Uran et al
07-04-2019	Approximate Fictitious Play for Mean Field Games by Romuald Elie et al
07-02-2019	Selecting the independent coordinates of manifolds with large aspect ratios by Yu-Chia Chen et al
07-03-2019	Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories by Jacopo Tagliabue et al
07-05-2019	Automatic Differentiation for Adjoint Stencil Loops by Jan Hückelheim et al
07-05-2019	Network Embedding: on Compression and Learning by Esra Akbas et al
07-04-2019	The evolution of argumentation mining: From models to social media and emerging tools by Anastasios Lytos et al
07-02-2019	Scalable Multi Corpora Neural Language Models for ASR by Anirudh Raju et al
07-02-2019	Knowledge Graph Embedding for Ecotoxicological Effect Prediction by Erik B. Myklebust et al
07-04-2019	Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information by Evaggelia Tsiligianni et al
07-04-2019	Adversarial Attacks in Sound Event Classification by Vinod Subramanian et al
07-02-2019	Mixed-Variable Bayesian Optimization by Erik Daxberger et al
07-02-2019	Protecting Privacy of Users in Brain-Computer Interface Applications by Anisha Agarwal et al
07-03-2019	Machine learning and behavioral economics for personalized choice architecture by Emir Hrnjic et al
07-04-2019	Learning Latent Dynamics for Partially-Observed Chaotic Systems by Said Ouala et al
07-02-2019	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points by Zhibin Li et al
07-02-2019	Efficient Algorithms for Smooth Minimax Optimization by Kiran Koshy Thekumparampil et al
07-02-2019	Graph Embeddings at Scale by C. Bayan Bruss et al
07-04-2019	Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF by Valentin Leplat et al

07-03-2019	Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation by Ankush Chakrabarty et al
07-04-2019	Adversarial Robustness through Local Linearization by Chongli Qin et al
07-03-2019	A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features by Olga Slizovskaia et al
07-02-2019	Dont take it lightly: Phasing optical random projections with unknown operators by Sidharth Gupta et al
07-05-2019	High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction by Diego Valsesia et al
07-04-2019	Data Encoding for Byzantine-Resilient Distributed Optimization by Deepesh Data et al
07-03-2019	Cover Detection using Dominant Melody Embeddings by Guillaume Doras et al
07-03-2019	An Experimental Evaluation of Large Scale GBDT Systems by Fangcheng Fu et al
07-03-2019	Sequence to Sequence with Attention for Influenza Prevalence Prediction using Google Trends by Kenjiro Kondo et al
07-02-2019	Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction by Tak Ming Wong et al
07-02-2019	E-Sports Talent Scouting Based on Multimodal Twitch Stream Data by Anna Belova et al
07-04-2019	High-dimensional Gaussian graphical model for network-linked data by Tianxi Li et al
07-02-2019	Bandit Learning Through Biased Maximum Likelihood Estimation by Xi Liu et al
07-02-2019	Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism by Ahmed El Gazzar et al
07-03-2019	An Enhanced Ad Event-Prediction Method Based on Feature Engineering by Saeid Soheily Khah et al
07-05-2019	Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data by Jin-Hyun Ahn et al
07-05-2019	A Bi-directional Transformer for Musical Chord Recognition by Jonggwon Park et al
07-03-2019	Unscented Gaussian Process Latent Variable Model: learning from uncertain inputs with intractable kernels by Daniel Augusto R. M. A. de Souza et al
07-03-2019	A Bayesian Hierarchical Model for Criminal Investigations by F. O. Bunnin et al
07-04-2019	The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion by Weicheng Cai et al
07-05-2019	Networkmetrics unraveled: MBDA in Action by José Camacho et al
07-03-2019	Quickly Finding the Best Linear Model in High Dimensions by Yahya Sattar et al
07-02-2019	Seismic data denoising and deblending using deep learning by Alan Richardson et al
07-02-2019	Domain Adaptation via Low-Rank Basis Approximation by Christoph Raab et al
07-03-2019	Interpretable Counterfactual Explanations Guided by Prototypes by Arnaud Van Looveren et al
07-04-2019	Subsampling Bias and The Best-Discrepancy Systematic Cross Validation by Liang Guo et al
07-04-2019	Least Action Principles and Well-Posed Learning Problems by Alessandro Betti et al
07-05-2019	Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG by Sumit A. Raurale et al
07-04-2019	Data-Centric Mixed-Variable Bayesian Optimization For Materials Design by Akshay Iyer et al
07-03-2019	Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points by Stefan Vlaski et al
07-03-2019	Circuit-Based Intrinsic Methods to Detect Overfitting by Sat Chatterjee et al
07-03-2019	Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification by Ba Dung Le et al
07-04-2019	Asynchronous Averaging of Gait Cycles for Classification of Gait and Device Modes by Parinaz Kasebzadeh et al
07-02-2019	FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis by Erdi Çallı et al
07-02-2019	Quantifying Algorithmic Biases over Time by Vivek K. Singh et al
07-04-2019	Transfer learning enhanced physics informed neural network for phase-field modeling of fracture by Somdatta Goswami et al
07-03-2019	Supervised Classifiers for Audio Impairments with Noisy Labels by Chandan K A Reddy et al
07-03-2019	Generalized Principal Component Analysis by F. William Townes
07-02-2019	A Reinforcement Learning Approach for the Multichannel Rendezvous Problem by Jen-Hung Wang et al
07-02-2019	Rethinking Continual Learning for Autonomous Agents and Robots by German I. Parisi et al
07-02-2019	A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models by Santiago López-Tapia et al
07-03-2019	QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection by Abderrazak Chahid et al
07-03-2019	Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics by Jonathan Johannemann et al
07-02-2019	Deep Convolutional Compression for Massive MIMO CSI Feedback by Qianqian Yang et al
07-03-2019	Neuron ranking -- an informed way to condense convolutional neural networks architecture by Kamil Adamczewski et al
07-03-2019	Deep Personalized Re-targeting by Meisam Hejazinia et al
07-03-2019	On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems by Mingxi Zhu et al
07-04-2019	Reducing Exploration of Dying Arms in Mortal Bandits by Stefano Tracà et al
07-02-2019	Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts by Xiaoyu Du et al
07-02-2019	Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks by Moshe Kravchik et al
07-04-2019	Pathology GAN: Learning deep representations of cancer tissue by Adalberto Claudio Quiros et al
07-02-2019	3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata by Rahman Attar et al
07-02-2019	An innovative adaptive kriging approach for efficient binary classification of mechanical problems by Jan N. Fuhg et al
07-02-2019	Tight Sensitivity Bounds For Smaller Coresets by Alaa Maalouf et al
07-03-2019	Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients by Nursadul Mamun et al
07-03-2019	Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling by Zi Long et al
07-04-2019	Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds by Cyran Aouameur et al