2019.10.07 Learning papers

10-01-2019	An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack by Yang Zhang et al
10-01-2019	Detecting Alzheimers Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt by Bahman Mirheidari et al
10-01-2019	Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante by Alexis Duburcq et al
10-01-2019	Identifying Weights and Architectures of Unknown ReLU Networks by David Rolnick et al
10-01-2019	A Deep Factorization of Style and Structure in Fonts by Akshay Srivatsan et al
10-03-2019	On the Efficacy of Knowledge Distillation by Jang Hyun Cho et al
10-03-2019	Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries by Samuel Paradis et al
10-01-2019	Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks by Mokanarangan Thayaparan et al
10-01-2019	Generalization in Generation: A closer look at Exposure Bias by Florian Schmidt
10-01-2019	A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language by S. Soroush Haj Zargarbashi et al
10-01-2019	Efficient Graph Generation with Graph Recurrent Attention Networks by Renjie Liao et al
10-01-2019	Accelerating Deep Learning by Focusing on the Biggest Losers by Angela H. Jiang et al
10-01-2019	Sampling Unknown Decision Functions to Build Classifier Copies by Irene Unceta et al
10-01-2019	Global Voices: Crossing Borders in Automatic News Summarization by Khanh Nguyen et al
10-02-2019	Robust Few-Shot Learning with Adversarially Queried Meta-Learners by Micah Goldblum et al
10-01-2019	Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units by Athma Narayanan et al
10-01-2019	A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications by Asif J. Chowdhury et al
10-02-2019	Quantized Reinforcement Learning (QUARL) by Srivatsan Krishnan et al
10-01-2019	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph by Irene Y. Chen et al
10-01-2019	Underwhelming Generalization Improvements From Controlling Feature Attribution by Joseph D. Viviano et al
10-01-2019	Equivariant Flows: sampling configurations for multi-body systems with symmetric energies by Jonas Köhler et al
10-02-2019	An Introduction to Probabilistic Spiking Neural Networks by Hyeryung Jang et al
10-03-2019	Prediction of GNSS Phase Scintillations: A Machine Learning Approach by Kara Lamb et al
10-01-2019	Sub-Architecture Ensemble Pruning in Neural Architecture Search by Yijun Bian et al
10-02-2019	Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks by Guillaume Salha et al
10-02-2019	Stochastic gradient descent for hybrid quantum-classical optimization by Ryan Sweke et al
10-02-2019	SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders by Peter J. Liu et al
10-03-2019	A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines by Dunbiao Niu et al
10-03-2019	Graph Analysis and Graph Pooling in the Spatial Domain by Mostafa Rahmani et al
10-02-2019	A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy by Kei Nakagawa et al
10-02-2019	From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition by Duc Le et al
10-03-2019	A Grid-based Approach for Convexity Analysis of a Density-based Cluster by Sayyed-Ahmad Naghavi-Nozad et al
10-01-2019	Predicting materials properties without crystal structure: Deep representation learning from stoichiometry by Rhys E. A. Goodall et al
10-01-2019	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video by Maria Bauza et al
10-03-2019	A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data by Martin Slawski et al
10-01-2019	Contextual Local Explanation for Black Box Classifiers by Zijian Zhang et al
10-03-2019	Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications by Andreas Venzke et al
10-01-2019	Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models by Jeroen Van Hautte et al
10-01-2019	Latent-Variable Generative Models for Data-Efficient Text Classification by Xiaoan Ding et al
10-01-2019	Leveraging Model Interpretability and Stability to increase Model Robustness by Fei Wu et al
10-02-2019	Stochastic Bandits with Delayed Composite Anonymous Feedback by Siddhant Garg et al
10-01-2019	Emergence of Writing Systems Through Multi-Agent Cooperation by Shresth Verma et al
10-02-2019	Benchmarking machine learning models on eICU critical care dataset by Seyedmostafa Sheikhalishahi et al
10-02-2019	Learning Maximally Predictive Prototypes in Multiple Instance Learning by Mert Yuksekgonul et al
10-03-2019	Silas: High Performance, Explainable and Verifiable Machine Learning by Hadrien Bride et al
10-02-2019	Speech-to-speech Translation between Untranscribed Unknown Languages by Andros Tjandra et al
10-01-2019	Deep Lifetime Clustering by S Chandra Mouli et al
10-03-2019	Improving Limited Angle CT Reconstruction with a Robust GAN Prior by Rushil Anirudh et al
10-03-2019	TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective by Bilal Ghanem et al
10-03-2019	Regularizing Neural Networks via Stochastic Branch Layers by Wonpyo Park et al
10-01-2019	Deep learning for Chemometric and non-translational data by Jacob Søgaard Larsen et al
10-01-2019	Affordable Uplift: Supervised Randomization in Controlled Experiments by Johannes Haupt et al
10-01-2019	Augmenting learning using symmetry in a biologically-inspired domain by Shruti Mishra et al
10-01-2019	An Efficient Sampling Algorithm for Non-smooth Composite Potentials by Wenlong Mou et al
10-01-2019	TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction by Ling Cai et al
10-01-2019	NESTA: Hamming Weight Compression-Based Neural Proc. Engine by Ali Mirzaeian et al
10-01-2019	IEG: Robust Neural Network Training to Tackle Severe Label Noise by Zizhao Zhang et al
10-03-2019	Partial differential equation regularization for supervised machine learning by Adam M Oberman
10-03-2019	A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models by Teo Deveney et al
10-03-2019	On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps by William H. Guss et al
10-03-2019	Robust Risk Minimization for Statistical Learning by Muhammad Osama et al
10-02-2019	Optimising Optimisers with Push GP by Michael Lones
10-02-2019	A note on the consistency of the random forest algorithm by José A. Ferreira
10-01-2019	Usage-Based Vehicle Insurance: Driving Style Factors of Accident Probability and Severity by Konstantin Korishchenko et al
10-01-2019	Adaptive Continuous Visual Odometry from RGB-D Images by Tzu-Yuan Lin et al
10-03-2019	Generalization Bounds for Convolutional Neural Networks by Shan Lin et al
10-03-2019	Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks by Yu Bai et al
10-03-2019	Inference of a mesoscopic population model from population spike trains by Alexandre René et al
10-02-2019	Efficient Local Causal Discovery Based on Markov Blanket by Shuai Yang et al
10-03-2019	CLEVRER: CoLlision Events for Video REpresentation and Reasoning by Kexin Yi et al
10-03-2019	A Data Science Approach for Honeypot Detection in Ethereum by Ramiro Camino et al
10-03-2019	Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing by Yuta Koreeda et al
10-02-2019	Accelerating Data Loading in Deep Neural Network Training by Chih-Chieh Yang et al
10-02-2019	Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders by Dakila Ledesma et al
10-02-2019	Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients by Chen Tessler et al
10-01-2019	Order-Independent Structure Learning of Multivariate Regression Chain Graphs by Mohammad Ali Javidian et al
10-02-2019	Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation by Gopal Sharma et al
10-02-2019	Quantum tensor singular value decomposition with applications to recommendation systems by Xiaoqiang Wang et al
10-01-2019	Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data by Di Wang et al
10-02-2019	Near-Convex Archetypal Analysis by Pierre De Handschutter et al
10-01-2019	Generating Semantic Adversarial Examples with Differentiable Rendering by Lakshya Jain et al
10-01-2019	Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data by Utkarsh Ojha et al
10-02-2019	Variational Temporal Abstraction by Taesup Kim et al
10-02-2019	Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples by Salimeh Yasaei Sekeh et al
10-02-2019	Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection by Thomas Magelinski et al
10-03-2019	Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods by Florent Chiaroni et al
10-01-2019	Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods by Xi Yang et al
10-02-2019	Task-Relevant Adversarial Imitation Learning by Konrad Zolna et al
10-02-2019	Formal Language Constraints for Markov Decision Processes by Eleanor Quint et al
10-01-2019	Deep learning at scale for subgrid modeling in turbulent flows by Mathis Bode et al
10-01-2019	MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension by Di Jin et al
10-01-2019	On the Equivalence between Node Embeddings and Structural Graph Representations by Balasubramaniam Srinivasan et al
10-01-2019	A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks by Sanaa Hamid Mohamed et al
10-01-2019	Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition by Shahram Ghorbani et al
10-03-2019	Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics by Johannes Ackermann et al
10-01-2019	Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks by Kin Wai Cheuk et al
10-02-2019	Causal inference with Bayes rule by Finnian Lattimore et al
10-01-2019	Blending Diverse Physical Priors with Neural Networks by Yunhao Ba et al
10-01-2019	TriMap: Large-scale Dimensionality Reduction Using Triplets by Ehsan Amid et al
10-02-2019	Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator by James A. Preiss et al
10-02-2019	Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots by Shresth Verma et al
10-01-2019	DiffTaichi: Differentiable Programming for Physical Simulation by Yuanming Hu et al
10-01-2019	Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos by Ji Lin et al
10-03-2019	RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN by Krzysztof Rusek et al
10-01-2019	Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients by Eric Carver et al
10-03-2019	Blood lactate concentration prediction in critical care patients: handling missing values by Behrooz Mamandipoor et al
10-01-2019	Robust learning with the Hilbert-Schmidt independence criterion by Daniel Greenfeld et al
10-02-2019	MLPerf Training Benchmark by Peter Mattson et al
10-02-2019	Emotion Recognition with Spatial Attention and Temporal Softmax Pooling by Masih Aminbeidokhti et al
10-01-2019	Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation by Chaochao Yan et al
10-01-2019	Graph convolutional networks for learning with few clean and many noisy labels by Ahmet Iscen et al
10-02-2019	Scalable approximate inference for state space models with normalising flows by Tom Ryder et al
10-02-2019	Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks by Otmane Sakhi et al
10-01-2019	Deep Neural Rejection against Adversarial Examples by Angelo Sotgiu et al
10-03-2019	A General Upper Bound for Unsupervised Domain Adaptation by Dexuan Zhang et al
10-03-2019	An empirical study of pretrained representations for few-shot classification by Tiago Ramalho et al
10-02-2019	Persistent and Unforgeable Watermarks for Deep Neural Networks by Huiying Li et al
10-01-2019	BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions by Yatin Chaudhary et al
10-02-2019	Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data by Abhijit Suprem
10-03-2019	LabelSens: Enabling Real-time Sensor Data Label-ling at the point of Collection on Edge Computing by Kieran Woodward et al
10-01-2019	Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation by Ivan Donadello et al
10-01-2019	Animating Face using Disentangled Audio Representations by Gaurav Mittal et al
10-03-2019	SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge by Pooya Khandel et al
10-03-2019	Complex networks based word embeddings by Nicolas Dugué et al
10-03-2019	Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset by Dimitrios Kollias et al
10-02-2019	Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach by Dongsheng Ding et al
10-02-2019	Towards Unifying Neural Architecture Space Exploration and Generalization by Kartikeya Bhardwaj et al
10-02-2019	A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure by Orestes Manzanilla-Salazar et al
10-01-2019	Putting Machine Translation in Context with the Noisy Channel Model by Lei Yu et al
10-02-2019	ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion by Andreas Hinterreiter et al
10-01-2019	Enhancing high-content imaging for studying microtubule networks at large-scale by Hao-Chih Lee et al
10-01-2019	Wasserstein Neural Processes by Andrew Carr et al
10-01-2019	TMLab: Generative Enhanced Model (GEM) for adversarial attacks by Piotr Niewinski et al
10-01-2019	Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network by Shisrut Rawat et al
10-01-2019	The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods by Johannes Leuschner et al
10-02-2019	Distillation ≈≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network by Bin Dong et al
10-02-2019	On the estimation of the Wasserstein distance in generative models by Thomas Pinetz et al
10-02-2019	Learning Continuous 3D Reconstructions for Geometrically Aware Grasping by Mark Van der Merwe et al
10-01-2019	Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward by Daniel Severo et al
10-02-2019	Unsupervised Doodling and Painting with Improved SPIRAL by John F. J. Mellor et al
10-01-2019	Training Generative Networks with general Optimal Transport distances by Vaios Laschos et al
10-01-2019	Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers by Aaron Griffith et al
10-03-2019	The Bouncer Problem: Challenges to Remote Explainability by Erwan Le Merrer et al
10-03-2019	Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions by He Zhao et al
10-03-2019	Privately detecting changes in unknown distributions by Rachel Cummings et al
10-01-2019	Revisiting Fine-tuning for Few-shot Learning by Akihiro Nakamura et al
10-01-2019	Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory by Micah Goldblum et al
10-01-2019	Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems by Hardik Meisheri et al
10-03-2019	Bootstrapping Conditional GANs for Video Game Level Generation by Ruben Rodriguez Torrado et al
10-01-2019	MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive by Gabriele Franch et al
10-02-2019	Embodied Language Grounding with Implicit 3D Visual Feature Representations by Mihir Prabhudesai et al
10-01-2019	Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings by Myunghun Jung et al
10-02-2019	Learning Neural Causal Models from Unknown Interventions by Nan Rosemary Ke et al
10-02-2019	Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent by Qinbo Bai et al
10-02-2019	Learning Calibratable Policies using Programmatic Style-Consistency by Eric Zhan et al
10-01-2019	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum by Jianyu Wang et al
10-02-2019	CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem by Arpan Kusari
10-01-2019	How noise affects the Hessian spectrum in overparameterized neural networks by Mingwei Wei et al
10-03-2019	SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead by Wentai Wu et al
10-03-2019	Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps by Laura Manduchi et al
10-03-2019	Efficient training of energy-based models via spin-glass control by Alejandro Pozas-Kerstjens et al
10-01-2019	Proximal Policy Optimization for Improved Convergence in IRGAN by Moksh Jain et al
10-03-2019	A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case by Greg Ongie et al
10-02-2019	Improving Differentially Private Models with Active Learning by Zhengli Zhao et al
10-02-2019	The tension between openness and prudence in AI research by Jess Whittlestone et al
10-02-2019	Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations by Arnaud Mignan et al