2019.07.28 Learning papers

07-24-2019	SpanBERT: Improving Pre-training by Representing and Predicting Spans by Mandar Joshi et al
07-24-2019	Benchmarking TPU, GPU, and CPU Platforms for Deep Learning by Yu et al
07-25-2019	Optuna: A Next-generation Hyperparameter Optimization Framework by Takuya Akiba et al
07-24-2019	Bilingual Lexicon Induction through Unsupervised Machine Translation by Mikel Artetxe et al
07-25-2019	Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation by Zeju Li et al
07-24-2019	A Fine-Grained Spectral Perspective on Neural Networks by Greg Yang et al
07-24-2019	Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems by Xingjun Ma et al
07-24-2019	Visual Interaction with Deep Learning Models through Collaborative Semantic Inference by Sebastian Gehrmann et al
07-25-2019	Y-Autoencoders: disentangling latent representations via sequential-encoding by Massimiliano Patacchiola et al
07-25-2019	HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop by Yiwei Yang et al
07-24-2019	Semi-parametric Object Synthesis by Andrea Palazzi et al
07-24-2019	Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training by Haichao Zhang et al
07-24-2019	Towards Logical Specification of Statistical Machine Learning by Yusuke Kawamoto
07-24-2019	Curriculum based Dropout Discriminator for Domain Adaptation by Vinod Kumar Kurmi et al
07-24-2019	Fairness in Reinforcement Learning by Paul Weng
07-24-2019	Careful Selection of Knowledge to solve Open Book Question Answering by Pratyay Banerjee et al
07-26-2019	Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach by Rocio Gonzalez-Diaz et al
07-24-2019	One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud by Xiao-Yun Zhou et al
07-24-2019	Cross-Attention End-to-End ASR for Two-Party Conversations by Suyoun Kim et al
07-24-2019	Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks by Haichao Zhang et al
07-25-2019	Learning Resolution-Invariant Deep Representations for Person Re-Identification by Yun-Chun Chen et al
07-24-2019	Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine by Dibyasundar Das et al
07-25-2019	Hard-Aware Fashion Attribute Classification by Yun Ye et al
07-25-2019	Self-supervised Domain Adaptation for Computer Vision Tasks by Jiaolong Xu et al
07-24-2019	Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy by Yijie Guo et al
07-25-2019	Simultaneous multi-view instance detection with learned geometric soft-constraints by Ahmed Samy Nassar et al
07-25-2019	Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization by Chunfei Ma et al
07-24-2019	Co-Evolutionary Compression for Unpaired Image Translation by Han Shu et al
07-24-2019	Towards AutoML in the presence of Drift: first results by Jorge G. Madrid et al
07-25-2019	Dont Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation by Horia Porav et al
07-24-2019	Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy by Kavita Dubey et al
07-24-2019	Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization by Xinyan Li et al
07-25-2019	How to Manipulate CNNs to Make Them Lie: the GradCAM Case by Tom Viering et al
07-25-2019	Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond by Shuxiao Chen et al
07-25-2019	Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks by Mattias P. Heinrich
07-25-2019	Towards Generalizing Sensorimotor Control Across Weather Conditions by Qadeer Khan et al
07-25-2019	Interpretability Beyond Classification Output: Semantic Bottleneck Networks by Max Losch et al
07-24-2019	Learning Embedding of 3D models with Quadric Loss by Nitin Agarwal et al
07-25-2019	Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine by Mark-Oliver Stehr et al
07-24-2019	Notes on Latent Structure Models and SPIGOT by André F. T. Martins et al
07-25-2019	Personalised novel and explainable matrix factorisation by Ludovik Coba et al
07-25-2019	HUGE2: a Highly Untangled Generative-model Engine for Edge-computing by Feng Shi et al
07-25-2019	Adaptive Noise Injection: A Structure-Expanding Regularization for RNN by Rui Li et al
07-24-2019	Sampled Softmax with Random Fourier Features by Ankit Singh Rawat et al
07-25-2019	Towards meta-learning for multi-target regression problems by Gabriel Jonas Aguiar et al
07-24-2019	Discriminative Consistent Domain Generation for Semi-supervised Learning by Jun Chen et al
07-25-2019	Unsupervised Domain Adaptation via Calibrating Uncertainties by Ligong Han et al
07-25-2019	Learning higher-order logic programs by Andrew Cropper et al
07-26-2019	Bayesian Volumetric Autoregressive generative models for better semisupervised learning by Guilherme Pombo et al
07-26-2019	Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network by Xin Wang et al
07-25-2019	Image Enhancement by Recurrently-trained Super-resolution Network by Saem Park et al
07-24-2019	Higher-Order Function Networks for Learning Composable 3D Object Representations by Eric Mitchell et al
07-25-2019	Interactive Lungs Auscultation with Reinforcement Learning Agent by Tomasz Grzywalski et al
07-25-2019	Real-time Event Detection on Social Data Streams by Mateusz Fedoryszak et al
07-24-2019	The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging by Andrew Warrington et al
07-24-2019	A neural network based post-filter for speech-driven head motion synthesis by JinHong Lu et al
07-24-2019	Automatic crack detection and classification by exploiting statistical event descriptors for Deep Learning by Giulio Siracusano et al
07-26-2019	Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities by Sebastian P. Kleinschmidt et al
07-26-2019	An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems by Heinke Hihn et al
07-26-2019	Compressing deep quaternion neural networks with targeted regularization by Riccardo Vecchi et al
07-24-2019	Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound by Shujaat Khan et al
07-24-2019	Learning Goal-Oriented Visual Dialog Agents: Imitating and Surpassing Analytic Experts by Yen-Wei Chang et al
07-26-2019	Multi-Stage Prediction Networks for Data Harmonization by Stefano B. Blumberg et al
07-25-2019	Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning by Casey Kneale et al
07-24-2019	Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning by Bilal Kartal et al
07-25-2019	The Truly Deep Graph Convolutional Networks for Node Classification by Yu Rong et al
07-25-2019	As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging by Zach Eaton-Rosen et al
07-25-2019	DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization by Jiyang Bai et al
07-26-2019	Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress by J. G. M. Esgario et al
07-26-2019	Weakly Supervised Domain Detection by Yumo Xu et al
07-25-2019	Logical reduction of metarules by Andrew Cropper et al
07-24-2019	Info Intervention by Gong Heyang et al
07-24-2019	Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning by Shi-Ju Ran et al
07-24-2019	A neural network oracle for quantum nonlocality problems in networks by Tamás Kriváchy et al
07-25-2019	Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data by Chang Min Hyun et al
07-26-2019	Context-Aware Multipath Networks by Dumindu Tissera et al
07-24-2019	Towards Adversarially Robust Object Detection by Haichao Zhang et al
07-24-2019	Machine learning approach to remove ion interference effect in agricultural nutrient solutions by Byunghyun Ban et al
07-26-2019	DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients by Bulla Rajesh et al
07-25-2019	Graph Informer Networks for Molecules by Jaak Simm et al
07-25-2019	Dynamic Input for Deep Reinforcement Learning in Autonomous Driving by Maria Huegle et al
07-26-2019	Making Neural Networks FAIR by Anna Nguyen et al
07-25-2019	Doubly-Robust Lasso Bandit by Gi-Soo Kim et al
07-24-2019	Deep Generative Quantile-Copula Models for Probabilistic Forecasting by Ruofeng Wen et al
07-24-2019	Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising by Junwei Pan et al
07-24-2019	Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks by Georgios Katsimpras et al
07-25-2019	Deep Neural Network Symbol Detection for Millimeter Wave Communications by Yun Liao et al
07-24-2019	On the relationship between variational inference and adaptive importance sampling by Axel Finke et al
07-24-2019	Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning by Nirbhay Modhe et al
07-26-2019	Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm by Francisco J. Aragón Artacho et al
07-25-2019	Fast generalization error bound of deep learning without scale invariance of activation functions by Yoshikazu Terada et al
07-24-2019	Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties by Alonso Marco et al
07-25-2019	A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem by Pei-Chang Guo
07-26-2019	Taming Momentum in a Distributed Asynchronous Environment by Ido Hakimi et al
07-26-2019	Lexicographic Multiarmed Bandit by Alihan Hüyük et al
07-24-2019	On the bias of H-scores for comparing biclusters, and how to correct it by Jacopo Di Iorio et al
07-25-2019	Google Research Football: A Novel Reinforcement Learning Environment by Karol Kurach et al
07-24-2019	Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques by Sara Mohammadinejad et al
07-26-2019	Online Subspace Tracking for Damage Propagation Modeling and Predictive Analytics: Big Data Perspective by Farhan Khan
07-25-2019	Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits by Xiao Wang et al
07-26-2019	Sequential Learning of Active Subspaces by Nathan Wycoff et al
07-25-2019	Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph by Gen Li et al
07-26-2019	Scalable Semi-Supervised SVM via Triply Stochastic Gradients by Xiang Geng et al
07-26-2019	Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video by Isabel Funke et al
07-24-2019	Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks by Günther Waxenegger-Wilfing et al
07-24-2019	Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products by Muhammad Umer Anwaar et al
07-25-2019	Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression by Giulio Siracusano et al
07-25-2019	Towards Scalable Gaussian Process Modeling by Piyush Pandita et al
07-25-2019	Filter Bank Regularization of Convolutional Neural Networks by Seyed Mehdi Ayyoubzadeh et al
07-26-2019	On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method by Pu Zhao et al
07-26-2019	A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation by José E. Chacón
07-25-2019	Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement by Alzahra Badi et al
07-25-2019	Adaptive Compressed Sensing MRI with Unsupervised Learning by Cagla D. Bahadir et al
07-26-2019	Analog forecasting of extreme-causing weather patterns using deep learning by Ashesh Chattopadhyay et al
07-24-2019	A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training by Sumedh Yadav et al
07-26-2019	Training capsules as a routing-weighted product of expert neurons by Michael Hauser
07-25-2019	Graph Neural Lasso for Dynamic Network Regression by Yixin Chen et al
07-24-2019	Machine Learning the Tangent Space of Dynamical Instabilities from Data by Antoine Blanchard et al
07-24-2019	Constrained K-means with General Pairwise and Cardinality Constraints by Adel Bibi et al
07-26-2019	Detection of Malfunctioning Smart Electricity Meter by Ming Liu et al
07-26-2019	Training products of expert capsules with mixing by dynamic routing by Michael Hauser
07-25-2019	Domain Generalization via Multidomain Discriminant Analysis by Shoubo Hu et al
07-25-2019	Prediction of Highway Lane Changes Based on Prototype Trajectories by David Augustin et al
07-24-2019	Robust and Communication-Efficient Collaborative Learning by Amirhossein Reisizadeh et al
07-24-2019	The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge by Raoul Heese et al
07-24-2019	Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP by Jonas Höchst et al
07-24-2019	Data Aggregation Techniques for Internet of Things by Sunny Sanyal
07-24-2019	HeartFit: An Accurate Platform for Heart Murmur Diagnosis Utilizing Deep Learning by Ankit Gupta et al
07-25-2019	Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning by Aviv Ovadya et al