2019.11.03 Learning papers

10-29-2019	Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities by Hazel Si Min Lim et al
10-29-2019	The Six Fronts of the Generative Adversarial Networks by Alceu Bissoto et al
10-30-2019	Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles by Dror Simon et al
10-30-2019	Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization by Stefan Vlaski et al
10-30-2019	Training DNN IoT Applications for Deployment On Analog NVM Crossbars by Fernando García-Redondo et al
10-30-2019	UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization by Ali Kavis et al
10-29-2019	Sentence Embeddings for Russian NLU by Dmitry Popov et al
10-29-2019	Real-time Bidding campaigns optimization using attribute selection by Luis Miralles et al
10-31-2019	Towards a Predictive Patent Analytics and Evaluation Platform by Nebula Alam et al
11-01-2019	High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders by Nurettin Sergin et al
10-30-2019	DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect by Muhammad Abdul-Mageed et al
10-31-2019	Learning Fairness in Multi-Agent Systems by Jiechuan Jiang et al
11-01-2019	Deep Bidirectional Transformers for Relation Extraction without Supervision by Yannis Papanikolaou et al
10-30-2019	Structure of Deep Neural Networks with a Priori Information in Wireless Tasks by Jia Guo et al
11-01-2019	A Simple and Efficient Method to Compute a Single Linkage Dendrogram by Huanbiao Zhu et al
10-30-2019	Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks by Usama Muneeb et al
10-31-2019	A study of data and label shift in the LIME framework by Amir Hossein Akhavan Rahnama et al
10-31-2019	Gaussian-Spherical Restricted Boltzmann Machines by Aurélien Decelle et al
10-31-2019	Transport Model for Feature Extraction by Wojciech Czaja et al
10-31-2019	Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection by Sang-Sang Tan et al
10-30-2019	Learning-Based Low-Rank Approximations by Piotr Indyk et al
10-29-2019	Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments by Fei Xia et al
10-29-2019	G2SAT: Learning to Generate SAT Formulas by Jiaxuan You et al
10-29-2019	Proactive Optimization with Unsupervised Learning by Jiajun Wu et al
11-01-2019	On the Unintended Social Bias of Training Language Generation Models with Data from Local Media by Omar U. Florez
10-29-2019	On Investigation of Unsupervised Speech Factorization Based on Normalization Flow by Haoran Sun et al
11-01-2019	ARSM Gradient Estimator for Supervised Learning to Rank by Siamak Zamani Dadaneh et al
10-31-2019	Rate of convergence for geometric inference based on the empirical Christoffel function by Mai Trang Vu et al
11-01-2019	A Formal Proof of PAC Learnability for Decision Stumps by Joseph Tassarotti et al
10-31-2019	Adversarial Music: Real World Audio Adversary Against Wake-word Detection System by Juncheng B. Li et al
10-30-2019	Iterative Hessian Sketch in Input Sparsity Time by Graham Cormode et al
11-01-2019	Variations of Genetic Algorithms by Alison Jenkins et al
10-30-2019	Connecting exciton diffusion with surface roughness via deep learning by Liyao Lyu et al
11-01-2019	Kernelized Bayesian Softmax for Text Generation by Ning Miao et al
10-31-2019	Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning by Arvind Neelakantan et al
10-31-2019	An Abstraction-Based Framework for Neural Network Verification by Yizhak Yisrael Elboher et al
11-01-2019	Progressive Compressed Records: Taking a Byte out of Deep Learning Data by Michael Kuchnik et al
10-30-2019	Fault Tolerance of Neural Networks in Adversarial Settings by Vasisht Duddu et al
10-30-2019	EnergyStar++: Towards more accurate and explanatory building energy benchmarking by Pandarasamy Arjunan et al
10-29-2019	Feedback Linearization for Unknown Systems via Reinforcement Learning by Tyler Westenbroek et al
10-29-2019	Semantic Object Accuracy for Generative Text-to-Image Synthesis by Tobias Hinz et al
10-29-2019	Learning Sparse Distributions using Iterative Hard Thresholding by Jacky Y. Zhang et al
10-29-2019	Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks by Jingwen Wang et al
10-30-2019	Sparsely Activated Networks: A new method for decomposing and compressing data by Paschalis Bizopoulos
10-30-2019	Efficient Privacy-Preserving Nonconvex Optimization by Lingxiao Wang et al
10-29-2019	Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions by Fabio Capela et al
10-29-2019	Asymptotically Unbiased Generative Neural Sampling by Kim A. Nicoli et al
10-29-2019	Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments by Martin Weiss et al
10-30-2019	Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events by Kazuki Shimada et al
10-30-2019	Safe Exploration for Interactive Machine Learning by Matteo Turchetta et al
10-31-2019	Confident Learning: Estimating Uncertainty in Dataset Labels by Curtis G. Northcutt et al
10-31-2019	Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping by Jian Ni et al
10-31-2019	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering by Yuval Heffetz et al
10-31-2019	Regularized Non-negative Spectral Embedding for Clustering by Yifei Wang et al
11-01-2019	LFZip: Lossy compression of multivariate floating-point time series data via improved prediction by Shubham Chandak et al
10-30-2019	Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly by Kevin Zakka et al
10-30-2019	A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning by Xuanqing Liu et al
11-01-2019	A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments by Adam Foster et al
10-30-2019	Input-Output Equivalence of Unitary and Contractive RNNs by M. Emami et al
10-31-2019	A Decentralized Proximal Point-type Method for Saddle Point Problems by Weijie Liu et al
10-31-2019	Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success by Lucas Mentch et al
10-31-2019	Visual Appearance Based Person Retrieval in Unconstrained Environment Videos by Hiren Galiyawala et al
10-31-2019	Object-oriented state editing for HRL by Victor Bapst et al
10-30-2019	Deep Learning vs. Traditional Computer Vision by Niall O' Mahony et al
10-29-2019	An Empirical Study of Generation Order for Machine Translation by William Chan et al
10-29-2019	Ordered Memory by Yikang Shen et al
10-29-2019	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension by Mike Lewis et al
11-01-2019	Positive-Unlabeled Reward Learning by Danfei Xu et al
11-01-2019	Explaining black box decisions by Shapley cohort refinement by Masayoshi Mase et al
10-29-2019	Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation by Kuan Fang et al
10-29-2019	Constrained Reinforcement Learning Has Zero Duality Gap by Santiago Paternain et al
10-31-2019	Mixing of Stochastic Accelerated Gradient Descent by Peiyuan Zhang et al
11-01-2019	BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding by Emad Elwany et al
10-30-2019	Neural networks trained with WiFi traces to predict airport passenger behavior by Federico Orsini et al
10-30-2019	DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow by Xiang Pan et al
10-31-2019	Text-to-image synthesis method evaluation based on visual patterns by William Lund Sommer et al
10-31-2019	SignCol: Open-Source Software for Collecting Sign Language Gestures by Mohammad Eslami et al
11-01-2019	Data-driven Evolutions of Critical Points by Stefano Almi et al
11-01-2019	On Distributed Quantization for Classification by Osama A. Hanna et al
11-01-2019	Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning by Tao Jin et al
11-01-2019	InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions by Shikhar Vashishth et al
11-01-2019	Statistical Model Aggregation via Parameter Matching by Mikhail Yurochkin et al
10-31-2019	Image-Conditioned Graph Generation for Road Network Extraction by Davide Belli et al
10-31-2019	Continual Multi-task Gaussian Processes by Pablo Moreno-Muñoz et al
10-31-2019	Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods by Luca Della Libera et al
10-31-2019	Adversarial NLI: A New Benchmark for Natural Language Understanding by Yixin Nie et al
10-31-2019	Recovering Bandits by Ciara Pike-Burke et al
10-31-2019	Certifiable Robustness to Graph Perturbations by Aleksandar Bojchevski et al
10-31-2019	Can adversarial training learn image captioning ? by Jean-Benoit Delbrouck et al
11-01-2019	Robust contrastive learning and nonlinear ICA in the presence of outliers by Hiroaki Sasaki et al
10-31-2019	SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization by Navjot Singh et al
11-01-2019	Approximate Representer Theorems in Non-reflexive Banach Spaces by Kevin Schlegel
10-30-2019	Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer by Genta Indra Winata et al
10-30-2019	Neural View-Interpolation for Sparse LightField Video by Mojtaba Bemana et al
10-30-2019	Bayesian causal inference via probabilistic program synthesis by Sam Witty et al
10-30-2019	Understanding the Role of Momentum in Stochastic Gradient Methods by Igor Gitman et al
10-29-2019	Adversarial Fisher Vectors for Unsupervised Representation Learning by Shuangfei Zhai et al
10-30-2019	Unifying mirror descent and dual averaging by Anatoli Juditsky et al
10-31-2019	Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians by Chaochao Li et al
11-01-2019	Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning by Ignasi Mas et al
10-29-2019	Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation by Risto Vuorio et al
10-29-2019	Bounding Data-driven Model Errors in Power Grid Analysis by Yuxiao Liu et al
10-30-2019	A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning by Ashutosh Singh et al
11-01-2019	Performance Analysis on Federated Learning with Differential Privacy by Kang Wei et al
10-30-2019	Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation by Beidi Chen et al
10-31-2019	Energy-Aware Analog Aggregation for Federated Learning with Redundant Data by Yuxuan Sun et al
10-30-2019	Quantum Optical Experiments Modeled by Long Short-Term Memory by Thomas Adler et al
10-29-2019	Weight of Evidence as a Basis for Human-Oriented Explanations by David Alvarez-Melis et al
10-30-2019	Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation by Xilei Zhao et al
10-30-2019	Nonembeddability of Persistence Diagrams with p>2p>2 Wasserstein Metric by Alexander Wagner
10-31-2019	DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs by Ali Sadeghian et al
10-30-2019	Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning by Bindya Venkatesh et al
10-29-2019	Discriminant analysis based on projection onto generalized difference subspace by Kazuhiro Fukui et al
10-29-2019	Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection by Lingchen Zhao et al
10-31-2019	PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features by Guangyan Zhang et al
10-31-2019	Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised) by Sreelekha Guggilam et al
10-29-2019	Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization by Matteo Turchetta et al
10-29-2019	Steins Lemma for the Reparameterization Trick with Exponential Family Mixtures by Wu Lin et al
10-31-2019	Continual Unsupervised Representation Learning by Dushyant Rao et al
11-01-2019	Explanation by Progressive Exaggeration by Sumedha Singla et al
11-01-2019	Active Learning with Siamese Twins for Sequence Tagging by Rishi Hazra et al
10-30-2019	Graph Neural News Recommendation with Long-term and Short-term Interest Modeling by Linmei Hu et al
11-01-2019	Second-Order Group Influence Functions for Black-Box Predictions by Samyadeep Basu et al
10-29-2019	Neural Density Estimation and Likelihood-free Inference by George Papamakarios
10-30-2019	Dynamic Regularizer with an Informative Prior by Avinash Kori et al
10-29-2019	Dying Experts: Efficient Algorithms with Optimal Regret Bounds by Hamid Shayestehmanesh et al
10-31-2019	PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning by Iou-Jen Liu et al
10-31-2019	Energy-Inspired Models: Learning with Sampler-Induced Distributions by Dieterich Lawson et al
10-29-2019	E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving by Yue Wang et al
10-29-2019	An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese by Suong N. Hoang et al
10-31-2019	Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators by Weiwen Jiang et al
10-31-2019	LIMIT-BERT : Linguistic Informed Multi-Task BERT by Junru Zhou et al
10-29-2019	A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education by Safwan Shatnawi et al
10-29-2019	Function-Space Distributions over Kernels by Gregory W. Benton et al
10-31-2019	A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems by Yiwei Fu et al
11-01-2019	CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data by Guillaume Wenzek et al
11-01-2019	Extending Relational Query Processing with ML Inference by Konstantinos Karanasos et al
10-30-2019	Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control by Coline Devin et al
10-29-2019	When does Diversity Help Generalization in Classification Ensembles? by Yijun Bian et al
10-30-2019	Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization by Rana Abou Khamis et al
10-30-2019	Sample Complexity of Learning Mixtures of Sparse Linear Regressions by Akshay Krishnamurthy et al
10-30-2019	Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline by Jing Liu et al
10-31-2019	Multi-resolution CSI Feedback with deep learning in Massive MIMO System by Zhilin Lu et al
10-29-2019	Deep convolutional neural network application on rooftop detection for aerial image by Mengge Chen et al
11-01-2019	Training Neural Networks for Likelihood/Density Ratio Estimation by George V. Moustakides et al
10-29-2019	Generalization in multitask deep neural classifiers: a statistical physics approach by Tyler Lee et al
10-29-2019	Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization by Farzin Haddadpour et al
10-30-2019	Unsupervised inference approach to facial attractiveness by Miguel Ibáñez-Berganza et al
10-29-2019	Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports by Neil Deshmukh et al
10-30-2019	End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation by Yi Luo et al
10-30-2019	Learning pairwise Markov network structures using correlation neighborhoods by Juri Kuronen et al
10-30-2019	Meta-Learning to Cluster by Yibo Jiang et al
10-30-2019	Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks by Ben Adlam et al
10-31-2019	BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems by Jiawei Shao et al
10-31-2019	NAT: Neural Architecture Transformer for Accurate and Compact Architectures by Yong Guo et al
10-29-2019	Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps by Yat Long Lo et al
10-31-2019	Robust and Undetectable White-Box Watermarks for Deep Neural Networks by Tianhao Wang et al
11-01-2019	Efficient Feature Selection techniques for Sentiment Analysis by Avinash Madasu et al
10-30-2019	A Classifiers Voting Model for Exit Prediction of Privately Held Companies by Giuseppe Carlo Calafiore et al
11-01-2019	Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension by Y. Xu et al
10-29-2019	A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning by Somil Bansal et al
10-29-2019	A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models by Maksim Kuznetsov et al
10-29-2019	Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models by Lennart Brocki et al
10-29-2019	Scalable Deep Neural Networks via Low-Rank Matrix Factorization by Atsushi Yaguchi et al
10-30-2019	Learn-By-Calibrating: Using Calibration as a Training Objective by Jayaraman J. Thiagarajan et al
10-29-2019	Small-GAN: Speeding Up GAN Training Using Core-sets by Samarth Sinha et al
10-30-2019	Hidden Markov Models for sepsis detection in preterm infants by Antoine Honore et al
11-01-2019	Generalized Speedy Q-learning by Indu John et al
10-30-2019	Causal Inference via Conditional Kolmogorov Complexity using MDL Binning by Daniel Goldfarb et al

10-31-2019	Pseudolikelihood Reranking with Masked Language Models by Julian Salazar et al
10-31-2019	Enhancing Certifiable Robustness via a Deep Model Ensemble by Huan Zhang et al
10-31-2019	Probabilistic Bias Mitigation in Word Embeddings by Hailey James-Sorenson et al
10-31-2019	Semi-supervisedly Co-embedding Attributed Networks by Zaiqiao Meng et al
10-31-2019	RLINK: Deep Reinforcement Learning for User Identity Linkage by Xiaoxue Li et al
10-31-2019	Parameter Sharing Decoder Pair for Auto Composing by Xu Zhao
10-30-2019	Software defect prediction with zero-inflated Poisson models by Daniel Rodriguez et al
10-31-2019	Graph Structured Prediction Energy Networks by Colin Graber et al
10-29-2019	Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach by Pieter Robberechts et al
10-29-2019	How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models by Gero Szepannek
10-31-2019	PODNet: A Neural Network for Discovery of Plannable Options by Ritwik Bera et al
10-29-2019	LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks by Jonathan Ephrath et al
10-29-2019	Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation by Thai-Son Nguyen et al
10-30-2019	What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers by Ananth Balashankar et al
10-29-2019	Learning Without Loss by Veit Elser
10-30-2019	Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO by Yi Song et al
10-29-2019	Convolutional Conditional Neural Processes by Jonathan Gordon et al
10-30-2019	Thompson Sampling via Local Uncertainty by Zhendong Wang et al
11-01-2019	Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization by Vincent Lostanlen et al
10-31-2019	Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images by Hyunseok Seo et al
10-31-2019	Predicting the Politics of an Image Using Webly Supervised Data by Christopher Thomas et al
11-01-2019	Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers by Xishan Zhang et al
10-29-2019	A Generalization of Principal Component Analysis by Samuele Battaglino et al
10-30-2019	Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science by Samuel Deng et al
10-31-2019	Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors by Zuxuan Wu et al
10-30-2019	Precision disease networks (PDN) by J. Cabrera et al
10-31-2019	What Question Answering can Learn from Trivia Nerds by Jordan Boyd-Graber
10-31-2019	VASE: Variational Assorted Surprise Exploration for Reinforcement Learning by Haitao Xu et al
10-31-2019	Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task by Valeriya Slovikovskaya
10-29-2019	Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting by Andrew Zammit-Mangion et al
10-30-2019	Learning Deterministic Weighted Automata with Queries and Counterexamples by Gail Weiss et al
10-30-2019	Multi-defect microscopy image restoration under limited data conditions by Anastasia Razdaibiedina et al
10-29-2019	Knowledge Tracing with Sequential Key-Value Memory Networks by Ghodai Abdelrahman et al
10-31-2019	TAB-VCR: Tags and Attributes based VCR Baselines by Jingxiang Lin et al
10-29-2019	Feature relevance quantification in explainable AI: A causality problem by Dominik Janzing et al
10-29-2019	Bayesian Optimization with Unknown Search Space by Huong Ha et al
10-29-2019	Hyperbolic Node Embedding for Signed Networks by Wenzhuo Song et al
10-29-2019	Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data by Qin Lin et al
10-29-2019	Balancing Multi-level Interactions for Session-based Recommendation by Yujia Zheng et al
10-29-2019	An Augmented Transformer Architecture for Natural Language Generation Tasks by Hailiang Li et al
11-01-2019	Does Adam optimizer keep close to the optimal point? by Kiwook Bae et al
10-30-2019	On the Regularization Properties of Structured Dropout by Ambar Pal et al
11-01-2019	Finding the most similar textual documents using Case-Based Reasoning by Marko Mihajlovic et al
10-31-2019	Co-Generation with GANs using AIS based HMC by Tiantian Fang et al
10-31-2019	In-Place Zero-Space Memory Protection for CNN by Hui Guan et al
11-01-2019	Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning by Kyoichiro Kobayashi et al
10-30-2019	Risk bounds for reservoir computing by Lukas Gonon et al
10-30-2019	Multivariate Uncertainty in Deep Learning by Rebecca L. Russell et al
10-30-2019	Sobolev Independence Criterion by Youssef Mroueh et al
10-30-2019	Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs by Pedro Mercado et al
10-29-2019	DeepWiFi: Cognitive WiFi with Deep Learning by Kemal Davaslioglu et al
10-29-2019	Symbolic Graph Embedding using Frequent Pattern Mining by Blaz Škrlj et al
10-30-2019	Assessment of Multiple-Biomarker Classifiers: fundamental principles and a proposed strategy by Waleed A. Yousef
10-29-2019	Model enhancement and personalization using weakly supervised learning for multi-modal mobile sensing by Diyan Teng et al
11-01-2019	Decentralized Distributed PPO: Solving PointGoal Navigation by Erik Wijmans et al
11-01-2019	Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding by Mathew Monfort et al
10-29-2019	Generalization of Reinforcement Learners with Working and Episodic Memory by Meire Fortunato et al
10-29-2019	Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC) by Kate Duffy et al
10-29-2019	GLIMPS: A Greedy Mixed Integer Approach for Super Robust Matched Subspace Detection by Md Mahfuzur Rahman et al
10-31-2019	Scaling structural learning with NO-BEARS to infer causal transcriptome networks by Hao-Chih Lee et al
10-31-2019	Hierarchical Expert Networks for Meta-Learning by Heinke Hihn et al
10-29-2019	Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation by Chen Dan et al
11-01-2019	Learning Hawkes Processes from a Handful of Events by Farnood Salehi et al
10-31-2019	Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks by Minh-Tan Pham et al
10-30-2019	Evaluation of Surrogate Models for Multi-fin Flapping Propulsion Systems by Kamal Viswanath et al
10-29-2019	Minimal Variance Sampling in Stochastic Gradient Boosting by Bulat Ibragimov et al
10-31-2019	Multi-scale Octave Convolutions for Robust Speech Recognition by Joanna Rownicka et al
10-31-2019	Solving NMF with smoothness and sparsity constraints using PALM by Raimon Fabregat et al
10-31-2019	Context-Aware Local Differential Privacy by Jayadev Acharya et al
10-29-2019	Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction by Steven A. Hicks et al
10-30-2019	DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning by Michiel A. Bakker et al
10-29-2019	Bridging the ELBO and MMD by Talip Ucar
10-29-2019	Learning from Label Proportions with Consistency Regularization by Kuen-Han Tsai et al
10-29-2019	Learning to Manipulate Deformable Objects without Demonstrations by Yilin Wu et al
10-31-2019	Quantifying (Hyper) Parameter Leakage in Machine Learning by Vasisht Duddu et al
11-01-2019	Privacy-Preserving Machine Learning Using EtC Images by Ayana Kawamura et al
10-29-2019	Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs by Jeff Calder et al
10-29-2019	Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control by Mo Yu et al
10-29-2019	Continuous Control with Contexts, Provably by Simon S. Du et al
10-31-2019	ALERT: Accurate Anytime Learning for Energy and Timeliness by Chengcheng Wan et al
10-30-2019	Explainable Prediction of Adverse Outcomes Using Clinical Notes by Justin R. Lovelace et al
10-31-2019	Quantum Wasserstein Generative Adversarial Networks by Shouvanik Chakrabarti et al
11-01-2019	Learning a Representation for Cover Song Identification Using Convolutional Neural Network by Zhesong Yu et al
10-31-2019	Chirality Nets for Human Pose Regression by Raymond A. Yeh et al
10-31-2019	Multi-Stage Document Ranking with BERT by Rodrigo Nogueira et al
10-29-2019	Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support by Yuan Zhou et al
10-30-2019	Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder by Hao Sun et al
10-30-2019	Policy Continuation with Hindsight Inverse Dynamics by Hao Sun et al
10-30-2019	Learning Disentangled Representations for Recommendation by Jianxin Ma et al
10-30-2019	Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision? by Litu Rout
10-29-2019	Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning by Alon Jacovi et al
10-29-2019	Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning by Xin Qin et al
10-29-2019	Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications by Nicholas Carlini et al
10-29-2019	Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification by Pratik Kayal et al
10-31-2019	Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models by Michael Zotov et al
10-29-2019	Differentially Private Bayesian Linear Regression by Garrett Bernstein et al
10-29-2019	Privacy Enhanced Multimodal Neural Representations for Emotion Recognition by Mimansa Jaiswal et al
10-29-2019	Deep Decentralized Reinforcement Learning for Cooperative Control by Florian Köpf et al
10-31-2019	A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances by Wenjie Lu et al
10-29-2019	Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning by Sébastien M. R. Arnold et al
10-29-2019	Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning by Guansong Pang et al
10-29-2019	Mathematical decisions and non-causal elements of explainable AI by Atoosa Kasirzadeh
10-31-2019	Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators by Reinhard Heckel et al
10-31-2019	RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines by Doron Laadan et al
10-31-2019	On Neural Architecture Search for Resource-Constrained Hardware Platforms by Qing Lu et al
10-31-2019	Modeling Feature Representations for Affective Speech using Generative Adversarial Networks by Saurabh Sahu et al
11-01-2019	Robust Federated Learning with Noisy Communication by Fan Ang et al
10-29-2019	Kernel-Guided Training of Implicit Generative Models with Stability Guarantees by Arash Mehrjou et al
10-31-2019	On the Convergence of Local Descent Methods in Federated Learning by Farzin Haddadpour et al
10-29-2019	Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System by Sanaz Mojrian et al
10-31-2019	A comparative study of estimating articulatory movements from phoneme sequences and acoustic features by Abhayjeet Singh et al
10-30-2019	Contextual Text Denoising with Masked Language Models by Yifu Sun et al