2019.07.21 Learning papers

07-16-2019	Natural Adversarial Examples by Dan Hendrycks et al
07-17-2019	A Differentiable Programming System to Bridge Machine Learning and Scientific Computing by Mike Innes et al
07-16-2019	Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches by Maurizio Ferrari Dacrema et al
07-17-2019	Subspace Inference for Bayesian Deep Learning by Pavel Izmailov et al
07-16-2019	On the steerability of generative adversarial networks by Ali Jahanian et al
07-17-2019	OmniNet: A unified architecture for multi-modal multi-task learning by Subhojeet Pramanik et al
07-17-2019	Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming by Claudio Michaelis et al
07-19-2019	DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis by Yuki Saito et al
07-16-2019	The continuous Bernoulli: fixing a pervasive error in variational autoencoders by Gabriel Loaiza-Ganem et al
07-18-2019	MintNet: Building Invertible Neural Networks with Masked Convolutions by Yang Song et al
07-17-2019	CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation by Hongying Liu et al
07-17-2019	Deep Multi-View Learning via Task-Optimal CCA by Heather D. Couture et al
07-17-2019	EEG-Based Emotion Recognition Using Regularized Graph Neural Networks by Peixiang Zhong et al
07-18-2019	Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks by Aleksei Tiulpin et al
07-16-2019	Towards Understanding Generalization in Gradient-Based Meta-Learning by Simon Guiroy et al
07-18-2019	A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements by Julia Schulte et al
07-18-2019	Amortized Monte Carlo Integration by Adam Goliński et al
07-18-2019	WriterForcing: Generating more interesting story endings by Prakhar Gupta et al
07-17-2019	Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis by Md. Ataur Rahman et al
07-16-2019	Compositional Deep Learning by Bruno Gavranović
07-17-2019	Growing a Brain: Fine-Tuning by Increasing Model Capacity by Yu-Xiong Wang et al
07-18-2019	Automatic vocal tract landmark localization from midsagittal MRI data by Mohammad Eslami et al
07-18-2019	User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features by Ankit Gupta et al
07-17-2019	Analysis of Word Embeddings using Fuzzy Clustering by Shahin Atakishiyev et al
07-18-2019	Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery by Kristian Hartikainen et al
07-19-2019	Automated Machine Learning in Practice: State of the Art and Recent Results by Lukas Tuggener et al
07-17-2019	Stability selection enables robust learning of partial differential equations from limited noisy data by Suryanarayana Maddu et al
07-16-2019	Fairness-enhancing interventions in stream classification by Vasileios Iosifidis et al
07-18-2019	Credit Assignment as a Proxy for Transfer in Reinforcement Learning by Johan Ferret et al
07-17-2019	Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach by Alex Burnap et al
07-17-2019	Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators by Bernhard Egger et al
07-17-2019	Lung Nodules Detection and Segmentation Using 3D Mask-RCNN by Evi Kopelowitz et al
07-19-2019	DaiMoN: A Decentralized Artificial Intelligence Model Network by Surat Teerapittayanon et al
07-18-2019	Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach by Neslihan Kose et al
07-16-2019	Evaluating Explanation Without Ground Truth in Interpretable Machine Learning by Fan Yang et al
07-17-2019	Diving Deeper into Underwater Image Enhancement: A Survey by Saeed Anwar et al
07-18-2019	Deep Neural Models for Medical Concept Normalization in User-Generated Texts by Zulfat Miftahutdinov et al
07-17-2019	A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI by Erico Tjoa et al
07-16-2019	Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving by Tianqi Wang et al
07-16-2019	FAHT: An Adaptive Fairness-aware Decision Tree Classifier by Wenbin Zhang et al
07-18-2019	Convolutional Reservoir Computing for World Models by Hanten Chang et al
07-18-2019	Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model by Stefano Sarao Mannelli et al
07-17-2019	Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration by Qisheng Wang et al
07-19-2019	Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling by Frederik Kratzert et al
07-17-2019	Connecting Lyapunov Control Theory to Adversarial Attacks by Arash Rahnama et al
07-16-2019	Conversational Help for Task Completion and Feature Discovery in Personal Assistants by Madan Gopal Jhawar et al
07-18-2019	SentiMATE: Learning to play Chess through Natural Language Processing by Isaac Kamlish et al
07-17-2019	Improving Outbreak Detection with Stacking of Statistical Surveillance Methods by Moritz Kulessa et al
07-16-2019	An Inductive Synthesis Framework for Verifiable Reinforcement Learning by He Zhu et al
07-16-2019	Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision by Panagiotis Meletis et al
07-18-2019	Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds by Yuma Koizumi et al
07-19-2019	Spectral Analysis of Latent Representations by Justin Shenk et al
07-17-2019	Robustness properties of Facebooks ResNeXt WSL models by A. Emin Orhan
07-16-2019	STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings by Léo Bouscarrat et al
07-16-2019	Electroencephalography based Classification of Long-term Stress using Psychological Labeling by Sanay Muhammad Umar Saeed et al
07-18-2019	On the relation between Loss Functions and T-Norms by Francesco Giannini et al
07-17-2019	An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series by Hui Ye et al
07-16-2019	Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection by Sooji Han et al
07-17-2019	Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches by Peter Usherwood et al
07-17-2019	A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images by Yunzhe Xue et al
07-16-2019	Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications by Rafael Brandão et al
07-17-2019	Learning Privately over Distributed Features: An ADMM Sharing Approach by Yaochen Hu et al
07-16-2019	Explaining Classifiers with Causal Concept Effect (CaCE) by Yash Goyal et al
07-17-2019	Deep Metric Learning with Alternating Projections onto Feasible Sets by Oğul Can et al
07-19-2019	Lookahead Optimizer: k steps forward, 1 step back by Michael R. Zhang et al
07-16-2019	Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems by Mark D. McDonnell et al
07-16-2019	Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics by Yuxin Ma et al
07-17-2019	AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks by Ankit Gupta et al
07-17-2019	Learnability for the Information Bottleneck by Tailin Wu et al
07-19-2019	Deep Graph-Convolutional Image Denoising by Diego Valsesia et al
07-19-2019	Representational Capacity of Deep Neural Networks -- A Computing Study by Bernhard Bermeitinger et al
07-17-2019	Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration, and extrapolation) by Sheng Zhang et al
07-17-2019	SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking by Hwaran Lee et al
07-16-2019	DeepTrax: Embedding Graphs of Financial Transactions by C. Bayan Bruss et al
07-18-2019	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications by Shusen Liu et al
07-18-2019	Toxicity Prediction by Multimodal Deep Learning by Abdul Karim et al
07-17-2019	Block based Singular Value Decomposition approach to matrix factorization for recommender systems by Prasad Bhavana et al
07-18-2019	XferNAS: Transfer Neural Architecture Search by Martin Wistuba
07-16-2019	Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings by Borna Bićanić et al
07-17-2019	Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs by Prabod Rathnayaka et al
07-18-2019	Autoencoder-Based Incremental Class Learning without Retraining on Old Data by Euntae Choi et al
07-16-2019	Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods by Arif Siddiqi
07-16-2019	Adaptive Prior Selection for Repertoire-based Online Learning in Robotics by Rituraj Kaushik et al
07-16-2019	A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos by Chengyuan Zhang et al
07-17-2019	Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning by Martin Maritsch et al
07-16-2019	Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms by Canyi Lu et al
07-18-2019	Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering by Renganathan Subramanian et al
07-16-2019	Learning Multimodal Fixed-Point Weights using Gradient Descent by Lukas Enderich et al
07-17-2019	Learning Variable Impedance Control for Contact Sensitive Tasks by Miroslav Bogdanovic et al
07-17-2019	Photonic architecture for reinforcement learning by Fulvio Flamini et al
07-17-2019	Meta-descent for Online, Continual Prediction by Andrew Jacobsen et al
07-19-2019	Open Set Domain Adaptation: Theoretical Bound and Algorithm by Zhen Fang et al
07-16-2019	Efficient Segmentation: Learning Downsampling Near Semantic Boundaries by Dmitrii Marin et al
07-17-2019	Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs by Adrian Rivera Cardoso et al
07-16-2019	Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs by André Gooßen et al
07-16-2019	End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker by Ross Harper et al
07-18-2019	Least Angle Regression in Tangent Space and LASSO for Generalized Linear Model by Yoshihiro Hirose
07-16-2019	A Self-Attentive model for Knowledge Tracing by Shalini Pandey et al
07-16-2019	Online Local Boosting: improving performance in online decision trees by Victor G. Turrisi da Costa et al
07-16-2019	An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis by Kang-Ho Lee et al
07-19-2019	Delegative Reinforcement Learning: learning to avoid traps with a little help by Vanessa Kosoy
07-18-2019	Learning High-Level Planning Symbols from Intrinsically Motivated Experience by Angelo Oddi et al
07-18-2019	Discrete Object Generation with Reversible Inductive Construction by Ari Seff et al
07-16-2019	Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing by Rahul Pandey et al
07-17-2019	Deep Invertible Networks for EEG-based brain-signal decoding by Robin Tibor Schirrmeister et al
07-17-2019	DeepNC: Deep Generative Network Completion by Cong Tran et al
07-19-2019	Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation by Abdelaali Hassaine et al
07-18-2019	A Survey of Data Quality Measurement and Monitoring Tools by Lisa Ehrlinger et al
07-17-2019	Self-Attentive Hawkes Processes by Qiang Zhang et al
07-19-2019	D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction by Divya Saxena et al
07-17-2019	Feature Selection via Mutual Information: New Theoretical Insights by Mario Beraha et al
07-16-2019	Meta-Learning for Black-box Optimization by Vishnu TV et al
07-16-2019	Fused Detection of Retinal Biomarkers in OCT Volumes by Thomas Kurmann et al
07-16-2019	Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression by Deeksha Adil et al
07-16-2019	Deep learning scheme for microwave photonic analog broadband signal recovery by Shaofu Xu et al
07-16-2019	Dynamic optimization with side information by Dimitris Bertsimas et al
07-19-2019	Neural Cross-Domain Collaborative Filtering with Shared Entities by Vijaikumar M et al
07-16-2019	Helen: Maliciously Secure Coopetitive Learning for Linear Models by Wenting Zheng et al
07-19-2019	GPU-Accelerated Atari Emulation for Reinforcement Learning by Steven Dalton et al
07-18-2019	Only Time Can Tell: Discovering Temporal Data for Temporal Modeling by Laura Sevilla-Lara et al
07-19-2019	Multi-Granular Text Encoding for Self-Explaining Categorization by Zhiguo Wang et al
07-18-2019	Exploiting bilateral symmetry in brain lesion segmentation by Kevin Raina et al
07-18-2019	Neural Shuffle-Exchange Networks −− Sequence Processing in O(n log n) Time by Kārlis Freivalds et al
07-19-2019	Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation by Jingyuan Wang et al
07-19-2019	A Graph Neural Network Approach for Scalable Wireless Power Control by Yifei Shen et al
07-18-2019	optimalFlow: Optimal-transport approach to flow cytometry gating and population matching by Eustasio del Barrio et al
07-19-2019	Kernel Mode Decomposition and programmable/interpretable regression networks by Houman Owhadi et al
07-19-2019	Post-synaptic potential regularization has potential by Enzo Tartaglione et al
07-16-2019	Light Multi-segment Activation for Model Compression by Zhenhui Xu et al
07-17-2019	Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems by Alessandro Erba et al
07-17-2019	An Embedding Framework for Consistent Polyhedral Surrogates by Jessie Finocchiaro et al
07-16-2019	Structured Variational Inference in Unstable Gaussian Process State Space Models by Silvan Melchior et al
07-16-2019	MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation by Thomas Searle et al
07-16-2019	Latent Adversarial Defence with Boundary-guided Generation by Xiaowei Zhou et al
07-16-2019	Machine learning without a feature set for detecting bursts in the EEG of preterm infants by John M. O'Toole et al
07-17-2019	An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability by Xin J. Hunt et al
07-17-2019	DeepSqueezeDeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression by Hanlin Tang et al
07-17-2019	Remaining Useful Lifetime Prediction via Deep Domain Adaptation by Paulo R. de O. da Costa et al
07-17-2019	Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace by Deepak Pahwa et al
07-17-2019	tt-kk-means: A kk-means Variant with Robustness and Stability by Yang Zhang et al
07-18-2019	Probabilistic Regressor Chains with Monte Carlo Methods by Jesse Read et al
07-18-2019	MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III by Shirly Wang et al
07-16-2019	SGD momentum optimizer with step estimation by online parabola model by Jarek Duda
07-18-2019	Federated PCA with Adaptive Rank Estimation by Andreas Grammenos et al
07-17-2019	Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence by Garrett Wilson et al
07-17-2019	Machine Learning based Simulation Optimisation for Trailer Management by Dylan Rijnen et al
07-17-2019	Clustering Activity-Travel Behavior Time Series using Topological Data Analysis by Renjie Chen et al
07-17-2019	Mitigating Uncertainty in Document Classification by Xuchao Zhang et al
07-16-2019	The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0 by Kamil Khadiev et al
07-18-2019	Automating concept-drift detection by self-evaluating predictive model degradation by Tania Cerquitelli et al
07-16-2019	The Bregman-Tweedie Classification Model by Hyenkyun Woo
07-17-2019	Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples by Themistoklis P. Sapsis
07-16-2019	Quantum Data Fitting Algorithm for Non-sparse Matrices by Guangxi Li et al
07-17-2019	On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations by Carlo Baldassi et al
07-18-2019	Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs by Yusuke Tanaka et al
07-19-2019	Learning sparsity in reservoir computing through a novel bio-inspired algorithm by Luca Manneschi et al
07-16-2019	Random projections and sampling algorithms for clustering of high-dimensional polygonal curves by Stefan Meintrup et al
07-18-2019	New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning by Shuqiang Lu et al
07-18-2019	Convergence of Edge Computing and Deep Learning: A Comprehensive Survey by Yiwen Han et al
07-17-2019	Dynamic Malware Analysis with Feature Engineering and Feature Learning by Zhaoqi Zhang et al

07-19-2019	On Linear Convergence of Weighted Kernel Herding by Rajiv Khanna et al
07-18-2019	When can we improve on sample average approximation for stochastic optimization? by Eddie Anderson et al
07-17-2019	Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing by Zhiqi Bu et al
07-16-2019	Leveraging Experience in Lazy Search by Mohak Bhardwaj et al
07-16-2019	Caching as an Image Characterization Problem using Deep Convolutional Neural Networks by Yantong Wang et al
07-18-2019	Composing Diverse Policies for Temporally Extended Tasks by Daniel Angelov et al
07-18-2019	Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments by Bruna G. Maciel-Pearson et al
07-16-2019	The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost by Mengwei Yang et al
07-18-2019	A discriminative approach for finding and characterizing positivity violations using decision trees by Ehud Karavani et al
07-17-2019	CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers by Eduardo Olmedo Sanchez et al
07-19-2019	An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries by Matteo Manica et al
07-19-2019	Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling by Konstantinos Drossos et al
07-17-2019	Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning by Ming Dong et al
07-16-2019	Selection Heuristics on Semantic Genetic Programming for Classification Problems by Claudia N. Sánchez et al
07-16-2019	A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data by Martin Slawski et al
07-19-2019	ASYNC: Asynchronous Machine Learning on Distributed Systems by Saeed Soori et al