2019.09.01 Learning papers

08-28-2019	Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective by Guan-Horng Liu et al
08-27-2019	Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers by Raj Dabre et al
08-27-2019	Large Scale Landmark Recognition via Deep Metric Learning by Andrei Boiarov et al
08-28-2019	Interactive Language Learning by Question Answering by Xingdi Yuan et al
08-28-2019	Lecture Notes: Selected topics on robust statistical learning theory by Matthieu Lerasle
08-27-2019	A hybrid parametric-deep learning approach for sound event localization and detection by Andres Perez-Lopez et al
08-27-2019	Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation by Nima Tajbakhsh et al
08-28-2019	Multi-Objective Automatic Machine Learning with AutoxgboostMC by Florian Pfisterer et al
08-28-2019	Solving Math Word Problems with Double-Decoder Transformer by Yuanliang Meng et al
08-27-2019	Learning Continually from Low-shot Data Stream by Canyu Le et al
08-29-2019	Human-grounded Evaluations of Explanation Methods for Text Classification by Piyawat Lertvittayakumjorn et al
08-27-2019	Hierarchical Text Classification with Reinforced Label Assignment by Yuning Mao et al
08-29-2019	Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model by Yoshiaki Bando et al
08-28-2019	Reinforcement Learning: Prediction, Control and Value Function Approximation by Haoqian Li et al
08-29-2019	A Deep Neural Information Fusion Architecture for Textual Network Embeddings by Zenan Xu et al
08-28-2019	Optimal transport mapping via input convex neural networks by Ashok Vardhan Makkuva et al
08-28-2019	An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection by Eric T. Moore et al
08-29-2019	Memorizing All for Implicit Discourse Relation Recognition by Hongxiao Bai et al
08-28-2019	Neural Snowball for Few-Shot Relation Learning by Tianyu Gao et al
08-27-2019	Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation by Junlin Yang et al
08-29-2019	Zero-shot Text-to-SQL Learning with Auxiliary Task by Shuaichen Chang et al
08-29-2019	Universal, transferable and targeted adversarial attacks by Junde Wu et al
08-27-2019	New Loss Functions for Fast Maximum Inner Product Search by Ruiqi Guo et al
08-27-2019	Ensemble-Based Deep Reinforcement Learning for Chatbots by Heriberto Cuayáhuitl et al
08-27-2019	Physics-Based Rendering for Improving Robustness to Rain by Shirsendu Sukanta Halder et al
08-29-2019	Exploiting Temporality for Semi-Supervised Video Segmentation by Radu Sibechi et al
08-28-2019	Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery by Zhe Zhang et al
08-27-2019	A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits by Huozhi Zhou et al
08-28-2019	Facial age estimation by deep residual decision making by Shichao Li et al
08-27-2019	Key Protected Classification for Collaborative Learning by Mert Bülent Sarıyıldız et al
08-29-2019	Minimum Delay Object Detection From Video by Dong Lao et al
08-27-2019	Interactive Machine Comprehension with Information Seeking Agents by Xingdi Yuan et al
08-27-2019	O-MedAL: Online Active Deep Learning for Medical Image Analysis by Asim Smailagic et al
08-28-2019	Learning a Multitask Curriculum for Neural Machine Translation by Wei Wang et al
08-29-2019	A Robust Image Watermarking System Based on Deep Neural Networks by Xin Zhong et al
08-29-2019	Texel-Att: Representing and Classifying Element-based Textures by Attributes by Marco Godi et al
08-29-2019	Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity by Aaron Sidford et al
08-29-2019	DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images by Can Fahrettin Koyuncu et al
08-27-2019	A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots by Heriberto Cuayáhuitl
08-28-2019	DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks by Semih Yavuz et al
08-28-2019	Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing by M. K. Mudunuru et al
08-28-2019	Analyzing Customer Feedback for Product Fit Prediction by Stephan Baier
08-28-2019	Distributed Deep Learning for Precipitation Nowcasting by Siddharth Samsi et al
08-27-2019	Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation by Bowen Cheng et al
08-28-2019	Spectral Regularization for Combating Mode Collapse in GANs by Kanglin Liu et al
08-27-2019	Feature Gradients: Scalable Feature Selection via Discrete Relaxation by Rishit Sheth et al
08-28-2019	An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation by Wanyu Du et al
08-28-2019	Heterogeneous Domain Adaptation via Soft Transfer Network by Yuan Yao et al
08-29-2019	Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling by Angel Daza et al
08-29-2019	InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy by Javie Cózar et al
08-27-2019	Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards by Heriberto Cuayáhuitl et al
08-27-2019	An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications by Esteban Samaniego et al
08-27-2019	Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification by Zhen Xiang et al
08-27-2019	Exploration-Enhanced POLITEX by Yasin Abbasi-Yadkori et al
08-28-2019	Exploiting Multiple Embeddings for Chinese Named Entity Recognition by Canwen Xu et al
08-27-2019	Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure by Vikas K. Garg et al
08-27-2019	Bridging the Gap for Tokenizer-Free Language Models by Dokook Choe et al
08-28-2019	Stochastic AUC Maximization with Deep Neural Networks by Mingrui Liu et al
08-28-2019	Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods by Fasih Haider et al
08-28-2019	Image Captioning with Sparse Recurrent Neural Network by Jia Huei Tan et al
08-28-2019	CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation by Gang Xu et al
08-28-2019	Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining by Ítalo Gomes Santana
08-29-2019	Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness by Ling Liu et al
08-28-2019	Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog by Ryuichi Takanobu et al
08-28-2019	Onto Word Segmentation of the Complete Tang Poems by Chao-Lin Liu
08-28-2019	Surrogate Optimization of Deep Neural Networks for Groundwater Predictions by Juliane Mueller et al
08-27-2019	Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning by Michael Barz et al
08-27-2019	Complex Deep Learning Models for Denoising of Human Heart ECG signals by Corneliu Arsene
08-29-2019	Private Heavy Hitters and Range Queries in the Shuffled Model by Badih Ghazi et al
08-27-2019	Learning-Based Video Game Development in MLP@UoM: An Overview by Ke Chen
08-28-2019	Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models by Zhaoqiang Liu et al
08-27-2019	On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms by Alireza Fallah et al
08-27-2019	R\enyi Differential Privacy of the Sampled Gaussian Mechanism by Ilya Mironov et al
08-28-2019	High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm by Wenlong Mou et al
08-27-2019	Unsupervised Deep Feature Transfer for Low Resolution Image Classification by Yuanwei Wu et al
08-27-2019	FinBERT: Financial Sentiment Analysis with Pre-trained Language Models by Dogu Araci
08-29-2019	Targeted Source Detection for Environmental Data by Guanjie Zheng et al
08-28-2019	A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution by Qing Qu et al
08-28-2019	Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty by Chao-Lin Liu et al
08-28-2019	Short-and-Sparse Deconvolution -- A Geometric Approach by Yenson Lau et al
08-27-2019	Learning Algebraic Models of Quantum Entanglement by Hamza Jaffali et al
08-27-2019	Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments by Dimitri Ognibene et al
08-29-2019	Deep Learning and MARS: A Connection by Michael Kohler et al
08-27-2019	Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming by Zhencai Hu et al
08-28-2019	Machine-learning techniques for the optimal design of acoustic metamaterials by Andrea Bacigalupo et al
08-28-2019	STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control by Yanan Wang et al
08-27-2019	The Function Representation of Artificial Neural Network by Zhongkui Ma
08-28-2019	Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension by Todor Mihaylov et al
08-29-2019	Defending Against Misclassification Attacks in Transfer Learning by Bang Wu et al
08-28-2019	On Inferring Training Data Attributes in Machine Learning Models by Benjamin Zi Hao Zhao et al
08-28-2019	An Auto-ML Framework Based on GBDT for Lifelong Learning by Jinlong Chai et al
08-27-2019	Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes by Zhengling Qi et al
08-29-2019	Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin by Ilias Diakonikolas et al
08-27-2019	Linear Convergence of Adaptive Stochastic Gradient Descent by Yuege Xie et al
08-29-2019	On the rate of convergence of fully connected very deep neural network regression estimates by Michael Kohler et al
08-29-2019	Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design by Paolo Testolina et al
08-28-2019	Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks by Yuting Ye et al
08-28-2019	Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning by Junya Ikemoto et al
08-28-2019	Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices by Peter M. VanNostrand et al
08-28-2019	Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging by Tong Zhang et al
08-27-2019	Stock Price Forecasting and Hypothesis Testing Using Neural Networks by Kerda Varaku
08-28-2019	Deep Actor-Critic Reinforcement Learning for Anomaly Detection by Chen Zhong et al
08-27-2019	Similarity Kernel and Clustering via Random Projection Forests by Donghui Yan et al
08-27-2019	Finite size corrections for neural network Gaussian processes by Joseph M. Antognini
08-29-2019	Smaller Models, Better Generalization by Mayank Sharma et al
08-29-2019	White-box vs Black-box: Bayes Optimal Strategies for Membership Inference by Alexandre Sablayrolles et al
08-27-2019	Statistical and Computational Trade-Offs in Kernel K-Means by Daniele Calandriello et al
08-27-2019	A Framework for Model Search Across Multiple Machine Learning Implementations by Yoshiki Takahashi et al
08-27-2019	Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention by Yang Liu et al
08-28-2019	Effective and Efficient Network Embedding Initialization via Graph Partitioning by Wenqing Lin et al
08-27-2019	VAE-based Domain Adaptation for Speaker Verification by Xueyi Wang et al
08-28-2019	An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks by Teawon Han et al
08-27-2019	On the Minimax Optimality of Estimating the Wasserstein Metric by Tengyuan Liang
08-27-2019	SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity by Casimiro Aday Curbelo Montañez et al
08-29-2019	Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production by Mi Yan et al
08-29-2019	Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics by Dogancan Temel et al
08-28-2019	Data ultrametricity and clusterability by Dan Simovici et al
08-28-2019	Multi-Channel Deep Networks for Block-Based Image Compressive Sensing by Siwang Zhou et al
08-29-2019	Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference by Benjamin Peherstorfer
08-27-2019	A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis by Ziqi Wang et al
08-29-2019	TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir by Tao B. Schardl et al
08-27-2019	3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations by Hessam Sokooti et al
08-27-2019	Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation by Xiaolong Ma et al
08-29-2019	Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version by David Gaudrie et al
08-27-2019	Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics by Iñigo Urteaga et al
08-27-2019	Model Selection With Graphical Neighbour Information by Robert O'Shea
08-27-2019	On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels by Tengyuan Liang et al
08-29-2019	Data-based wind disaster climate identification algorithm and extreme wind speed prediction by Wei Cui et al
08-27-2019	Early Classification for Agricultural Monitoring from Satellite Time Series by Marc Rußwurm et al
08-27-2019	Matrix embedding method in match for session-based recommendation by Qizhi Zhang et al
08-27-2019	Robust Tensor Recovery with Fiber Outliers for Traffic Events by Yue Hu et al
08-27-2019	Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations by William Schoenberg
08-28-2019	Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks by Jivitesh Sharma et al
08-29-2019	A Concert-planning Tool for Independent Musicians by Machine Learning Models by Xiaohan Yang et al