2019.08.25 Learning papers

08-23-2019	Generating High-Resolution Fashion Model Images Wearing Custom Outfits by Gökhan Yildirim et al
08-22-2019	The compositionality of neural networks: integrating symbolism and connectionism by Dieuwke Hupkes et al
08-21-2019	Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction by Hanna Meyer et al
08-21-2019	Federated Learning: Challenges, Methods, and Future Directions by Tian Li et al
08-22-2019	VL-BERT: Pre-training of Generic Visual-Linguistic Representations by Weijie Su et al
08-22-2019	From Community to Role-based Graph Embeddings by Ryan A. Rossi et al
08-22-2019	Text Summarization with Pretrained Encoders by Yang Liu et al
08-21-2019	Automated quantum programming via reinforcement learning for combinatorial optimization by Keri A. McKiernan et al
08-21-2019	A Neural Network for Semi-Supervised Learning on Manifolds by Alexander Genkin et al
08-22-2019	Noise Flow: Noise Modeling with Conditional Normalizing Flows by Abdelrahman Abdelhamed et al
08-22-2019	Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning by Jyoti Aneja et al
08-22-2019	Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks by Dominique Beaini et al
08-21-2019	Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System by Takahiro Kawamura et al
08-21-2019	Boundary Aware Networks for Medical Image Segmentation by Ali Hatamizadeh et al
08-21-2019	Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound by Qingjie Meng et al
08-21-2019	Transferability and Hardness of Supervised Classification Tasks by Anh T. Tran et al
08-22-2019	NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations by Yooseung Wang et al
08-22-2019	Song Hit Prediction: Predicting Billboard Hits Using Spotify Data by Kai Middlebrook et al
08-23-2019	Fairness in Deep Learning: A Computational Perspective by Mengnan Du et al
08-21-2019	U-Net Training with Instance-Layer Normalization by Xiao-Yun Zhou et al
08-22-2019	Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning by Ningyu Zhang et al
08-22-2019	ColorNet -- Estimating Colorfulness in Natural Images by Emin Zerman et al
08-21-2019	Testing Robustness Against Unforeseen Adversaries by Daniel Kang et al
08-21-2019	Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies by Mahsa Shafaei et al
08-25-2019	Improving Neural Story Generation by Targeted Common Sense Grounding by Huanru Henry Mao et al
08-21-2019	Revealing the Dark Secrets of BERT by Olga Kovaleva et al
08-21-2019	Dialog State Tracking with Reinforced Data Augmentation by Yichun Yin et al
08-22-2019	RNNs Evolving in Equilibrium: A Solution to the Vanishing and Exploding Gradients by Anil Kag et al
08-22-2019	Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement by Zhiqiang Shen et al
08-21-2019	A CNN toolbox for skin cancer classification by Fabrizio Nunnari et al
08-22-2019	Reinforcement Learning in Healthcare: A Survey by Chao Yu et al
08-23-2019	Mish: A Self Regularized Non-Monotonic Neural Activation Function by Diganta Misra
08-21-2019	Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning by Kerstin Kläser et al
08-22-2019	Learning stochastic differential equations using RNN with log signature features by Shujian Liao et al
08-21-2019	Coarse-to-fine Optimization for Speech Enhancement by Jian Yao et al
08-22-2019	Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs by Daniel T. Chang
08-22-2019	MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation by Abhay Kumar et al
08-22-2019	Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics by Farid Ghareh Mohammadi et al
08-23-2019	Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning by Daniel Kuhn et al
08-22-2019	Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms by Ruoxi Jia et al
08-21-2019	Restricted Recurrent Neural Networks by Enmao Diao et al
08-23-2019	A BLSTM Network for Printed Bengali OCR System with High Accuracy by Debabrata Paul et al
08-23-2019	Interactive Collaborative Exploration using Incomplete Contexts by Maximilian Felde et al
08-23-2019	Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR by Nick Byrne et al
08-21-2019	A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation by Runzhe Yang et al
08-21-2019	Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency by David Byrd et al
08-22-2019	Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms by Sasan Barak et al
08-23-2019	Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry by Shunkai Li et al
08-23-2019	A Review of Point Cloud Semantic Segmentation by Yuxing Xie et al
08-22-2019	motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks by Manoj Reddy Dareddy et al
08-23-2019	Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving by Jiachen Li et al
08-24-2019	Open Event Extraction from Online Text using a Generative Adversarial Network by Rui Wang et al
08-21-2019	Semi-supervised Adversarial Active Learning on Attributed Graphs by Yayong Li et al
08-23-2019	QuicK-means: Acceleration of K-means by learning a fast transform by Luc Giffon et al
08-22-2019	Exact inference under the perfect phylogeny model by Surjyendu Ray et al
08-23-2019	Pareto-optimal data compression for binary classification tasks by Max Tegmark et al
08-21-2019	Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates by Miles D. Cranmer et al
08-22-2019	Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper by Muhammad Maaz
08-24-2019	Conditional Flow Variational Autoencoders for Structured Sequence Prediction by Apratim Bhattacharyya et al
08-22-2019	Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes by Nathan Kallus et al
08-21-2019	BRIDGE: Byzantine-resilient Decentralized Gradient Descent by Zhixiong Yang et al
08-25-2019	Generalizing Psychological Similarity Spaces to Unseen Stimuli by Lucas Bechberger et al
08-25-2019	OpenSpiel: A Framework for Reinforcement Learning in Games by Marc Lanctot et al
08-23-2019	Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning by Mimansa Jaiswal et al
08-22-2019	Feedbackward Decoding for Semantic Segmentation by Beinan Wang et al
08-21-2019	DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis by Elke Kirschbaum et al
08-23-2019	Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks by Juan Maroñas et al
08-21-2019	Minimum Description Length Revisited by Peter Grünwald et al
08-25-2019	Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning by Xudong Sun et al
08-22-2019	Intent term selection and refinement in e-commerce queries by Saurav Manchanda et al
08-21-2019	QCNN: Quantile Convolutional Neural Network by Gábor Petneházi
08-24-2019	Hyper-Path-Based Representation Learning for Hyper-Networks by Jie Huang et al
08-23-2019	Bayesian Receiver Operating Characteristic Metric for Linear Classifiers by Syeda Sakira Hassan et al
08-22-2019	Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized by Zhixiong Yang et al
08-21-2019	Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples by Marcus Soll et al
08-23-2019	Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground by Christoph Schran et al
08-22-2019	The many Shapley values for model explanation by Mukund Sundararajan et al
08-23-2019	Predicting knee osteoarthritis severity: comparative modeling based on patients data and plain X-ray images by Jaynal Abedin et al
08-22-2019	Spiking Neural Predictive Coding for Continual Learning from Data Streams by Alexander Ororbia
08-21-2019	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection by Bingzhe Wu et al
08-22-2019	Adaptive Configuration Oracle for Online Portfolio Selection Methods by Favour M. Nyikosa et al
08-21-2019	Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification by Zhao Zhang et al
08-25-2019	Deep Closed-Form Subspace Clustering by Junghoon Seo et al
08-25-2019	Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning by Sepideh Emam et al
08-24-2019	Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks by Seunghyun Yoon et al
08-22-2019	The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy by Guoliang Feng et al
08-23-2019	Increasing the Generalisaton Capacity of Conditional VAEs by Alexej Klushyn et al
08-22-2019	Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection by Yong-Ho Yoo et al
08-23-2019	Assessing Knee OA Severity with CNN attention-based end-to-end architectures by Marc Górriz et al
08-22-2019	Measuring the Business Value of Recommender Systems by Dietmar Jannach et al
08-22-2019	LoRAS: An oversampling approach for imbalanced datasets by Saptarshi Bej et al
08-23-2019	Predicting Features of Quantum Systems using Classical Shadows by Hsin-Yuan Huang et al
08-22-2019	Practical Risk Measures in Reinforcement Learning by Dotan Di Castro et al
08-22-2019	On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning by Tao Li et al
08-24-2019	Planning Beyond the Sensing Horizon Using a Learned Context by Michael Everett et al
08-24-2019	Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study by Najibesadat Sadati et al
08-21-2019	Estimation of perceptual scales using ordinal embedding by Siavash Haghiri et al
08-22-2019	Quadratic Surface Support Vector Machine with L1 Norm Regularization by Seyedahmad Mousavi et al
08-21-2019	Improved Cardinality Estimation by Learning Queries Containment Rates by Rojeh Hayek et al
08-23-2019	Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity by Joseph Antony et al
08-21-2019	Design Space of Behaviour Planning for Autonomous Driving by Marko Ilievski et al
08-21-2019	Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs by Tim Capes et al
08-23-2019	A Comparison of Action Spaces for Learning Manipulation Tasks by Patrick Varin et al
08-24-2019	Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data by Dylan Slack et al
08-22-2019	Online Inference for Advertising Auctions by Caio Waisman et al
08-23-2019	A Center in Your Neighborhood: Fairness in Facility Location by Christopher Jung et al
08-25-2019	Principal Component Analysis Using Structural Similarity Index for Images by Benyamin Ghojogh et al
08-22-2019	Improving the dynamics of quantum sensors with reinforcement learning by Jonas Schuff et al
08-22-2019	Finite Precision Stochastic Optimization -- Accounting for the Bias by Prathamesh Mayekar et al
08-21-2019	Decentralized Federated Learning: A Segmented Gossip Approach by Chenghao Hu et al
08-25-2019	Dynamics-aware Embeddings by William Whitney et al
08-22-2019	A Survey on Bias and Fairness in Machine Learning by Ninareh Mehrabi et al
08-25-2019	Exploring the Performance of Deep Residual Networks in Crazyhouse Chess by Sun-Yu Gordon Chi
08-22-2019	Mobility-aware Content Preference Learning in Decentralized Caching Networks by Yu Ye et al
08-22-2019	A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics by Hongzhi Wang et al
08-24-2019	Deriving a Quantitative Relationship Between Resolution and Human Classification Error by Josiah I. Clark et al
08-23-2019	Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems by Fei Wang et al
08-22-2019	On the convergence of single-call stochastic extra-gradient methods by Yu-Guan Hsieh et al
08-25-2019	LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm by Ziyu Liu et al
08-24-2019	Enhancing Neural Sequence Labeling with Position-Aware Self-Attention by Wei Wei et al
08-22-2019	Two-Stage Session-based Recommendations with Candidate Rank Embeddings by José Antonio Sánchez Rodríguez et al
08-22-2019	Efficient Cross-Validation of Echo State Networks by Mantas Lukoševičius et al
08-21-2019	A tree-based radial basis function method for noisy parallel surrogate optimization by Chenchao Shou et al
08-22-2019	LEAP nets for power grid perturbations by Benjamin Donnot et al
08-25-2019	Dont Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja by Kang Min Yoo et al
08-23-2019	KL property of exponent 1/21/2 of ℓ2,0ℓ2,0-norm and DC regularized factorizations for low-rank matrix recovery by Shujun Bi et al
08-24-2019	Optimal best arm selection for general distributions by Shubhada Agrawal et al
08-22-2019	NetSyn: Neural Evolutionary Technique to Synthesize Programs by Shantanu Mandal et al
08-23-2019	EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding by Zhengyang Wu et al
08-23-2019	Preventing the Generation of Inconsistent Sets of Classification Rules by Thiago Zafalon Miranda et al
08-23-2019	Fusing heterogeneous data sets by Yipeng Song
08-25-2019	Patient Knowledge Distillation for BERT Model Compression by Siqi Sun et al
08-25-2019	CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention by Hafeez Anwar et al
08-24-2019	SeesawFaceNets: sparse and robust face verification model for mobile platform by Jintao Zhang
08-22-2019	An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning by Hongyu Li et al
08-23-2019	Lukthung Classification Using Neural Networks on Lyrics and Audios by Kawisorn Kamtue et al
08-22-2019	An encoding framework with brain inner state for natural image identification by Hao Wu et al
08-21-2019	Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem by Jules Kruijswijk et al
08-24-2019	Estimation of preterm birth markers with U-Net segmentation network by Tomasz Włodarczyk et al
08-24-2019	DGSAN: Discrete Generative Self-Adversarial Network by Ehsan Montahaei et al
08-24-2019	Generator evaluator-selector net: a modular approach for panoptic segmentation by Sagi Eppel et al
08-24-2019	EPP: interpretable score of model predictive power by Alicja Gosiewska et al
08-22-2019	A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization by Guangzeng Xie et al
08-22-2019	Data Context Adaptation for Accurate Recommendation with Additional Information by Hyunsik Jeon et al
08-21-2019	Enabling hyperparameter optimization in sequential autoencoders for spiking neural data by Mohammad Reza Keshtkaran et al
08-25-2019	Efficient Bidirectional Neural Machine Translation by Xu Tan et al
08-23-2019	Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms by Liqun Shao et al
08-23-2019	Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation by Sunwoo Kim et al
08-25-2019	RandNet: deep learning with compressed measurements of images by Thomas Chang et al
08-25-2019	Unsupervised Construction of Knowledge Graphs From Text and Code by Kun Cao et al
08-21-2019	Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques by Yuren Zhou et al
08-25-2019	On Measuring and Mitigating Biased Inferences of Word Embeddings by Sunipa Dev et al
08-25-2019	Locally Linear Image Structural Embedding for Image Structure Manifold Learning by Benyamin Ghojogh et al
08-25-2019	Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization by Tomaso Poggio et al
08-21-2019	Boosting the Rating Prediction with Click Data and Textual Contents by ThaiBinh Nguyen et al
08-24-2019	Demystifying the MLPerf Benchmark Suite by Snehil Verma et al
08-24-2019	On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach by Weizhong Yan et al
08-24-2019	Accelerating small-angle scattering experiments with simulation-based machine learning by Takuya Kanazawa et al
08-25-2019	A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task by A. Artemov et al
08-25-2019	CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry by Sungjun Lim et al
08-22-2019	Distributed Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time-Delays by Jiexiang Wang et al
08-25-2019	Multilingual Neural Machine Translation with Language Clustering by Xu Tan et al
08-22-2019	Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks by Tania Panayiotou et al
08-22-2019	Opponent Aware Reinforcement Learning by Victor Gallego et al
08-24-2019	Universal Policies to Learn Them All by Hassam Ullah Sheikh et al
08-23-2019	αα Belief Propagation as Fully Factorized Approximation by Dong Liu et al
08-25-2019	Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer by Akhilesh Sudhakar et al
08-25-2019	Adversarial Edit Attacks for Tree Data by Benjamin Paaßen
08-23-2019	Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints by Sepideh Hassan-Moghaddam et al
08-24-2019	Inference on weighted average value function in high-dimensional state space by Victor Chernozhukov et al
08-21-2019	Assessing the Impact of a User-Item Collaborative Attack on Class of Users by Yashar Deldjoo et al
08-22-2019	Automated Generation of Test Models from Semi-Structured Requirements by Jannik Fischbach et al
08-22-2019	DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums by Yuyang Gao et al
08-23-2019	Consistent Classification with Generalized Metrics by Xiaoyan Wang et al
08-24-2019	Unsupervised Recalibration by Albert Ziegler et al
08-24-2019	Ontology alignment: A Content-Based Bayesian Approach by Vladimir Menkov et al
08-25-2019	Scalable Probabilistic Matrix Factorization with Graph-Based Priors by Jonathan Strahl et al
08-23-2019	A Robust Regression Approach for Robot Model Learning by Francesco Cursi et al
08-24-2019	Heterogeneous Relational Kernel Learning by Andre T. Nguyen et al
08-21-2019	Tracking Behavioral Patterns among Students in an Online Educational System by Stephan Lorenzen et al
08-24-2019	Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning by Vishwali Mhasawade et al
08-23-2019	Identification of Pediatric Sepsis Subphenotypes for Enhanced Machine Learning Predictive Performance: A Latent Profile Analysis by Tom Velez et al
08-25-2019	Almost Tune-Free Variance Reduction by Bingcong Li et al
08-25-2019	Normalizing Flows: Introduction and Ideas by Ivan Kobyzev et al
08-23-2019	Parity Partition Coding for Sharp Multi-Label Classification by Christopher G. Blake et al
08-22-2019	Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos by Zihan Liu et al