2019.10.14 Learning papers

10-09-2019	Membership Model Inversion Attacks for Deep Networks by Samyadeep Basu et al
10-10-2019	Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings by Matilde Gargiani et al
10-08-2019	ATL: Autonomous Knowledge Transfer from Many Streaming Processes by Mahardhika Pratama et al
10-08-2019	Automatic Construction of Multi-layer Perceptron Network from Streaming Examples by Mahardhika Pratama et al
10-11-2019	Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning by Jack Goetz et al
10-08-2019	Federated Learning of N-gram Language Models by Mingqing Chen et al
10-10-2019	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards by Siyuan Li et al
10-11-2019	Road Damage Detection Based on Unsupervised Disparity Map Segmentation by Rui Fan et al
10-08-2019	Investigation on the generalization of the Sampled Policy Gradient algorithm by Nil Stolt Ansó
10-09-2019	Robust Dynamic Assortment Optimization in the Presence of Outlier Customers by Xi Chen et al
10-09-2019	Nearly Minimal Over-Parametrization of Shallow Neural Networks by Armin Eftekhari et al
10-08-2019	Variance reduction for Markov chains with application to MCMC by D. Belomestny et al
10-08-2019	NGBoost: Natural Gradient Boosting for Probabilistic Prediction by Tony Duan et al
10-10-2019	Active Learning with Importance Sampling by Muni Sreenivas Pydi et al
10-09-2019	Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system by Shixian Wen et al
10-09-2019	Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning by Arpit Garg et al
10-10-2019	Deep Structured Mixtures of Gaussian Processes by Martin Trapp et al
10-08-2019	Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs by Leonid Boytsov et al
10-08-2019	Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study by Leonid Boytsov et al
10-10-2019	On the Dualization of Operator-Valued Kernel Machines by Pierre Laforgue et al
10-09-2019	Domain-Relevant Embeddings for Medical Question Similarity by Clara McCreery et al
10-09-2019	A new neural-network-based model for measuring the strength of a pseudorandom binary sequence by Ahmed Alamer et al
10-09-2019	Loss Surface Sightseeing by Multi-Point Optimization by Ivan Skorokhodov et al
10-09-2019	Word Embedding Visualization Via Dictionary Learning by Juexiao Zhang et al
10-11-2019	Bayesian Optimization Meets Riemannian Manifolds in Robot Learning by Noémie Jaquier et al
10-11-2019	Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment by Santhilata Kuppili Venkata et al
10-11-2019	End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data by Sebastian Zambal et al
10-08-2019	Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications by Matteo Terzi et al
10-08-2019	On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications by Chao Zhang et al
10-11-2019	Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions by Florian Meier et al
10-09-2019	Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms by Pantelis R. Vlachas et al
10-11-2019	Automating dynamic consent decisions for the processing of social media data in health research by Chris Norval et al
10-11-2019	Hear No Evil, See Kenansville: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems by Hadi Abdullah et al
10-11-2019	Inundation Modeling in Data Scarce Regions by Zvika Ben-Haim et al
10-11-2019	Learning from demonstration with model-based Gaussian process by Noémie Jaquier et al
10-10-2019	Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies by Xinyun Chen et al
10-09-2019	Compatible features for Monotonic Policy Improvement by Marcin B. Tomczak et al
10-09-2019	Forecast Aggregation via Peer Prediction by Juntao Wang et al
10-09-2019	Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space by Keizo Kato et al
10-09-2019	Semantic Understanding of Foggy Scenes with Purely Synthetic Data by Martin Hahner et al
10-11-2019	Learning Invariant Representations of Social Media Users by Nicholas Andrews et al
10-08-2019	Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates by Yang Liu et al
10-10-2019	Orthogonality Constrained Multi-Head Attention For Keyword Spotting by Mingu Lee et al
10-09-2019	Text-to-Image Synthesis Based on Machine Generated Captions by Marco Menardi et al
10-09-2019	MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions by Viswanath Sivakumar et al
10-11-2019	Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization by Kohei Yoshikawa et al
10-10-2019	Manifold learning from a teachers demonstrations by Pei Wang et al
10-10-2019	Universal Adversarial Perturbation for Text Classification by Hang Gao et al
10-09-2019	Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods by René Carmona et al
10-09-2019	Online Simultaneous Semi-Parametric Dynamics Model Learning by Joshua Smith et al
10-10-2019	Image Super-Resolution via Attention based Back Projection Networks by Zhi-Song Liu et al
10-08-2019	Learned Critical Probabilistic Roadmaps for Robotic Motion Planning by Brian Ichter et al
10-11-2019	exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models by Benjamin Hoover et al
10-08-2019	A Test for Shared Patterns in Cross-modal Brain Activation Analysis by Elena Kalinina et al
10-11-2019	Automatic segmentation of texts into units of meaning for reading assistance by Jean-Claude Houbart et al
10-11-2019	Verification of Neural Networks: Specifying Global Robustness using Generative Models by Nathanaël Fijalkow et al
10-10-2019	Comparison of Generative Adversarial Networks Architectures Which Reduce Mode Collapse by Yicheng et al
10-08-2019	Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs -- II: Explicit Constructions and Phase Transitions by Shantanu Prasad Burnwal et al
10-08-2019	Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs by Denis Mazur et al
10-10-2019	Detecting organized eCommerce fraud using scalable categorical clustering by Samuel Marchal et al
10-10-2019	Language Transfer for Early Warning of Epidemics from Social Media by Mattias Appelgren et al
10-08-2019	Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach by Sahba Aghajani Pedram et al
10-10-2019	Central Server Free Federated Learning over Single-sided Trust Social Networks by Chaoyang He et al
10-10-2019	Machine learning driven synthesis of few-layered WTe2 by Manzhang Xu et al
10-11-2019	ABCDP: Approximate Bayesian Computation Meets Differential Privacy by Mijung Park et al
10-09-2019	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments by Vinicius G. Goecks et al
10-09-2019	Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling by Ouyu Lan et al
10-10-2019	Computationally Efficient Tree Variants of Gromov-Wasserstein by Tam Le et al
10-10-2019	Still no free lunches: the price to pay for tighter PAC-Bayes bounds by Benjamin Guedj et al
10-09-2019	Spoken Language Identification using ConvNets by Sarthak et al
10-09-2019	Subspace Estimation from Unbalanced and Incomplete Data Matrices: ℓ2,∞ℓ2,∞ Statistical Guarantees by Changxiao Cai et al
10-11-2019	Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation by Zeman Shao et al
10-11-2019	As You Are, So Shall You Move Your Head: A System-Level Analysis between Head Movements and Corresponding Traits and Emotions by Sharmin Akther Purabi et al
10-08-2019	A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level by Michela Moschella et al
10-08-2019	Executing Instructions in Situated Collaborative Interactions by Alane Suhr et al
10-11-2019	Evolving Gaussian Process kernels from elementary mathematical expressions by I. Roman et al
10-11-2019	Evaluating Semantic Representations of Source Code by Yaza Wainakh et al
10-10-2019	Gumbel-Matrix Routing for Flexible Multi-task Learning by Krzysztof Maziarz et al
10-08-2019	When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish by Manuel Stoeckel et al
10-10-2019	From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images by Bin Wang et al
10-10-2019	Deep Learning for Prostate Pathology by Okyaz Eminaga et al
10-09-2019	Learning with minibatch Wasserstein : asymptotic and gradient properties by Kilian Fatras et al
10-10-2019	Dealing with Stochasticity in Biological ODE Models by Hamda Ajmal et al
10-08-2019	Predicting Auction Price of Vehicle License Plate with Deep Residual Learning by Vinci Chow
10-10-2019	An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation by Nezihe Merve Gürel et al
10-10-2019	On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing by Jordan J. Bird et al
10-09-2019	Image Quality Assessment for Rigid Motion Compensation by Alexander Preuhs et al
10-09-2019	Learning neutrino effects in Cosmology with Convolutional Neural Networks by Elena Giusarma et al
10-09-2019	Removing input features via a generative model to explain their attributions to classifiers decisions by Chirag Agarwal et al
10-10-2019	Modeling of negative protein-protein interactions: methods and experiments by Andrea Moscatelli
10-10-2019	Learning Only from Relevant Keywords and Unlabeled Documents by Nontawat Charoenphakdee et al
10-10-2019	Online Learning Using Only Peer Assessment by Yang Liu et al
10-11-2019	Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases by Maximilian Idahl et al
10-10-2019	Estimation of Utility-Maximizing Bounds on Potential Outcomes by Maggie Makar et al
10-10-2019	ErrorNet: Learning error representations from limited data to improve vascular segmentation by Nima Tajbakhsh et al
10-10-2019	Information Robust Dirichlet Networks for Predictive Uncertainty Estimation by Theodoros Tsiligkaridis
10-08-2019	DEVDAN: Deep Evolving Denoising Autoencoder by Andri Ashfahani et al
10-10-2019	Old Dog Learns New Tricks: Randomized UCB for Bandit Problems by Sharan Vaswani et al
10-10-2019	Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation by Si Yi Meng et al
10-10-2019	Assistive Gym: A Physics Simulation Framework for Assistive Robotics by Zackory Erickson et al
10-09-2019	One Sample Stochastic Frank-Wolfe by Mingrui Zhang et al
10-09-2019	Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming by Mahyar Fazlyab et al
10-09-2019	Policy Optimization Through Approximated Importance Sampling by Marcin B. Tomczak et al
10-09-2019	Deep Latent Defence by Giulio Zizzo et al
10-08-2019	Improved Regret Bounds for Projection-free Bandit Convex Optimization by Dan Garber et al
10-08-2019	Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee by Suprosanna Shit et al
10-08-2019	TraffickCam: Explainable Image Matching For Sex Trafficking Investigations by Abby Stylianou et al
10-10-2019	Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions by Clayton Scott et al
10-08-2019	Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization by Dominik Schmidt et al
10-09-2019	Estimating regression errors without ground truth values by Henri Tiittanen et al

10-10-2019	On Scalable Variant of Wasserstein Barycenter by Tam Le et al
10-09-2019	Out-of-distribution Detection in Classifiers via Generation by Sachin Vernekar et al
10-08-2019	An MDL-Based Classifier for Transactional Datasets with Application in Malware Detection by Behzad Asadi et al
10-10-2019	Learning from Indirect Observations by Yivan Zhang et al
10-11-2019	Augmented Hard Example Mining for Generalizable Person Re-Identification by Masato Tamura et al
10-10-2019	Link Prediction via Deep Learning by Weiwei Gu et al
10-08-2019	SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations by Ali Dabouei et al
10-08-2019	Receding Horizon Curiosity by Matthias Schultheis et al
10-10-2019	Rk-means: Fast Clustering for Relational Data by Ryan Curtin et al
10-10-2019	Regret Analysis of Causal Bandit Problems by Yangyi Lu et al
10-10-2019	Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model by Dong Chen et al
10-11-2019	NLS: an accurate and yet easy-to-interpret regression method by Victor Coscrato et al
10-08-2019	Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots by Kyo Kutsuzawa et al
10-09-2019	Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors by Yazhan Zhang et al
10-09-2019	Hierarchical Deep Double Q-Routing by Ramy E. Ali et al
10-08-2019	Deep Network classification by Scattering and Homotopy dictionary learning by John Zarka et al
10-08-2019	When Does Self-supervision Improve Few-shot Learning? by Jong-Chyi Su et al
10-10-2019	Learning to Remember from a Multi-Task Teacher by Yuwen Xiong et al
10-10-2019	Efficient Sketching Algorithm for Sparse Binary Data by Rameshwar Pratap et al
10-08-2019	Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task by Alireza Mohammadshahi et al
10-10-2019	Using Neural Networks for Programming by Demonstration by Karan K. Budhraja et al
10-09-2019	Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining by Zhouyuan Huo et al
10-10-2019	NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification by David Wood et al
10-10-2019	LISA: Towards Learned DNA Sequence Search by Darryl Ho et al
10-10-2019	Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space by Muhammad Burhan Hafez et al
10-08-2019	A cascaded dual-domain deep learning reconstruction method for sparsely spaced multidetector helical CT by Ao Zheng et al
10-08-2019	Multiple-objective Reinforcement Learning for Inverse Design and Identification by Haoran Wei et al
10-10-2019	Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond by Arindam Banerjee et al
10-08-2019	FedMD: Heterogenous Federated Learning via Model Distillation by Daliang Li et al
10-09-2019	Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression by Tong Ma et al
10-11-2019	The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents by Shangmin Guo et al
10-11-2019	Privacy-Preserving Contextual Bandits by Awni Hannun et al
10-09-2019	Time series classification for varying length series by Chang Wei Tan et al
10-08-2019	Prose for a Painting by Prerna Kashyap et al
10-08-2019	Bregman Proximal Framework for Deep Linear Neural Networks by Mahesh Chandra Mukkamala et al
10-08-2019	MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms by Marco Pasini
10-09-2019	Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods by Melanie Weber et al
10-10-2019	Coloring the Black Box: Visualizing neural network behavior with a self-introspective model by Arturo Pardo et al
10-10-2019	PAC-Bayesian Contrastive Unsupervised Representation Learning by Kento Nozawa et al
10-09-2019	Deep localization of protein structures in fluorescence microscopy images by Muhammad Tahir et al
10-09-2019	Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin by Colin Wei et al
10-09-2019	Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks by Julius von Kügelgen et al
10-08-2019	Deep Value Model Predictive Control by Farbod Farshidian et al
10-09-2019	Dissecting Deep Neural Networks by Haakon Robinson et al
10-08-2019	TorchBeast: A PyTorch Platform for Distributed RL by Heinrich Küttler et al
10-08-2019	Random forest model identifies serve strength as a key predictor of tennis match outcome by Zijian Gao et al
10-08-2019	Bias-Resilient Neural Network by Ehsan Adeli et al
10-10-2019	Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network by Björn Friedrich et al
10-10-2019	Structured Pruning of Large Language Models by Ziheng Wang et al
10-10-2019	Studying Software Engineering Patterns for Designing Machine Learning Systems by Hironori Washizaki et al
10-09-2019	Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering by Renan Souza et al
10-09-2019	Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images by Xinyi Huang et al
10-08-2019	Stochastic Triangular Mesh Mapping by Clint D. Lombard et al
10-08-2019	Linking emotions to behaviors through deep transfer learning by Haoqi Li et al
10-11-2019	Deep Kernel Transfer in Gaussian Processes for Few-shot Learning by Massimiliano Patacchiola et al
10-11-2019	Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses by Asier Mujika et al
10-11-2019	Query-by-example on-device keyword spotting by Byeonggeun Kim et al
10-11-2019	Customizing Sequence Generation with Multi-Task Dynamical Systems by Alex Bird et al
10-08-2019	Learning Parametric Constraints in High Dimensions from Demonstrations by Glen Chou et al
10-09-2019	Practical Posterior Error Bounds from Variational Objectives by Jonathan H. Huggins et al
10-11-2019	Single Image BRDF Parameter Estimation with a Conditional Adversarial Network by Mark Boss et al
10-11-2019	General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme by Tao Sun et al
10-11-2019	A Nonparametric Bayesian Model for Sparse Temporal Multigraphs by Elahe Ghalebi et al
10-08-2019	Modulated Self-attention Convolutional Network for VQA by Jean-Benoit Delbrouck et al
10-08-2019	Universal Approximation Theorems by Anastasis Kratsios
10-11-2019	Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory by Mert Albaba et al
10-09-2019	Optimal Training of Fair Predictive Models by Razieh Nabi et al
10-09-2019	Derivative-Free & Order-Robust Optimisation by Victor Gabillon et al
10-09-2019	Whos responsible? Jointly quantifying the contribution of the learning algorithm and training data by Gal Yona et al
10-08-2019	Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms by Xueru Zhang et al
10-10-2019	Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles by Abbas Sadat et al
10-09-2019	Is Multilingual BERT Fluent in Language Generation? by Samuel Rönnqvist et al
10-10-2019	Asking Easy Questions: A User-Friendly Approach to Active Reward Learning by Erdem Bıyık et al
10-10-2019	Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity by Peijun Xiao et al
10-10-2019	Defending Neural Backdoors via Generative Distribution Modeling by Ximing Qiao et al
10-11-2019	DDTCDR: Deep Dual Transfer Cross Domain Recommendation by Pan Li et al
10-10-2019	MetaPix: Few-Shot Video Retargeting by Jessica Lee et al
10-10-2019	The Implicit Regularization of Ordinary Least Squares Ensembles by Daniel LeJeune et al
10-11-2019	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs) by Cheng He et al
10-11-2019	Remote UAV Online Path Planning via Neural Network Based Opportunistic Control by Hamid Shiri et al
10-09-2019	Estimating Density Models with Complex Truncation Boundaries by Song Liu et al
10-11-2019	Multi-modal Deep Analysis for Multimedia by Wenwu Zhu et al
10-09-2019	Probabilistic sequential matrix factorization by Ömer Deniz Akyildiz et al
10-11-2019	Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning by Igor Colin et al
10-08-2019	Improving Map Re-localization with Deep Movable Objects Segmentation on 3D LiDAR Point Clouds by Victor Vaquero et al
10-08-2019	Learning event representations in image sequences by dynamic graph embedding by Mariella Dimiccoli et al
10-09-2019	The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure by Guillaume Staerman et al
10-09-2019	On the Possibility of Rewarding Structure Learning Agents: Mutual Information on Linguistic Random Sets by Ignacio Arroyo-Fernández et al
10-09-2019	On the adequacy of untuned warmup for adaptive optimization by Jerry Ma et al
10-10-2019	Solving Optical Tomography with Deep Learning by Yuwei Fan et al
10-10-2019	Panoptic-DeepLab by Bowen Cheng et al
10-09-2019	Would a File by Any Other Name Seem as Malicious? by Andre T. Nguyen et al
10-10-2019	Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects by Ben Glocker et al
10-09-2019	Continual Learning Using Bayesian Neural Networks by HongLin Li et al
10-09-2019	Active ordinal tuplewise querying for similarity learning by Gregory Canal et al
10-08-2019	Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention by Jean Mercat et al
10-10-2019	Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series by Lihan Yao et al
10-08-2019	Can We Distinguish Machine Learning from Human Learning? by Vicki Bier et al
10-11-2019	SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction by Qichen Li et al
10-09-2019	Explaining Deep Learning-Based Networked Systems by Zili Meng et al
10-11-2019	The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? by Gege Zhang et al
10-09-2019	Deep neural network for pier scour prediction by Mahesh Pal
10-09-2019	On geodesic triangles with right angles in a dually flat space by Frank Nielsen
10-10-2019	FetusMap: Fetal Pose Estimation in 3D Ultrasound by Xin Yang et al
10-09-2019	Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization by Poompol Buathong et al
10-08-2019	Self-Paced Multi-Label Learning with Diversity by Seyed Amjad Seyedi et al
10-10-2019	Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings by Qi Li et al
10-09-2019	Supervised feature selection with orthogonal regression and feature weighting by Xia Wu et al
10-09-2019	Prescribed Generative Adversarial Networks by Adji B. Dieng et al
10-09-2019	Stochastic Implicit Natural Gradient for Black-box Optimization by Yueming Lyu et al
10-09-2019	Gromov-Wasserstein Averaging in a Riemannian Framework by Samir Chowdhury et al
10-08-2019	Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy by Maurice Weber et al
10-10-2019	Blink: Fast and Generic Collectives for Distributed ML by Guanhua Wang et al
10-11-2019	Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging by Yusuf Pilavci et al
10-10-2019	Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement by Chao Yang et al
10-10-2019	DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector by Masahiro Yasuda et al
10-10-2019	Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities by Samuel Sharpe et al
10-09-2019	Sparse tree search optimality guarantees in POMDPs with continuous observation spaces by Michael H. Lim et al
10-09-2019	Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound by Haoran Dou et al
10-09-2019	Sequential VAE-LSTM for Anomaly Detection on Time Series by Run-Qing Chen et al
10-09-2019	Adversarial Learning of Deepfakes in Accounting by Marco Schreyer et al
10-09-2019	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods by Kevin J Liang et al
10-08-2019	The fastest ℓ1,∞ℓ1,∞ prox in the west by Benjamín Béjar et al
10-09-2019	A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning by Taiyu Zhu et al
10-08-2019	Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees by Tan Nguyen et al
10-10-2019	Combining Geometric and Topological Information in Image Segmentation by Hengrui Luo et al
10-09-2019	A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification by Varun Kumar et al
10-11-2019	Fairness in Clustering with Multiple Sensitive Attributes by Savitha Sam Abraham et al
10-11-2019	Aff-Wild Database and AffWildNet by Mengyao Liu et al
10-09-2019	Model-Based Reinforcement Learning Exploiting State-Action Equivalence by Mahsa Asadi et al
10-10-2019	Asymmetric Multiresolution Matrix Factorization by Pramod Kaushik Mudrakarta et al
10-10-2019	Batched Multi-Armed Bandits with Optimal Regret by Hossein Esfandiari et al
10-10-2019	Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks by Dina Obeid et al
10-10-2019	Decaying momentum helps neural network training by John Chen et al
10-10-2019	Video Summarization using Keyframe Extraction and Video Skimming by Shruti Jadon et al
10-09-2019	FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams by Wanzheng Zhu et al
10-09-2019	High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning by Yuqing Du et al
10-09-2019	Private Protocols for U-Statistics in the Local Model and Beyond by James Bell et al
10-08-2019	Ctrl-Z: Recovering from Instability in Reinforcement Learning by Vibhavari Dasagi et al
10-10-2019	Estimating Transfer Entropy via Copula Entropy by Ma Jian
10-08-2019	Computational complexity in algebraic regression by Oliver Gäfvert
10-08-2019	Meta Module Network for Compositional Visual Reasoning by Wenhu Chen et al
10-08-2019	Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression by Weiyang Zhang et al
10-09-2019	QPyTorch: A Low-Precision Arithmetic Simulation Framework by Tianyi Zhang et al
10-09-2019	Patch Refinement -- Localized 3D Object Detection by Johannes Lehner et al
10-10-2019	Learning protein conformational space by enforcing physics with convolutions and latent interpolations by Venkata K. Ramaswamy et al
10-09-2019	Improving Generalization in Meta Reinforcement Learning using Learned Objectives by Louis Kirsch et al
10-09-2019	3D Manhattan Room Layout Reconstruction from a Single 360 Image by Chuhang Zou et al
10-09-2019	Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models by Arunkumar Byravan et al
10-11-2019	R-SQAIR: Relational Sequential Attend, Infer, Repeat by Aleksandar Stanić et al
10-11-2019	Predicting dynamical system evolution with residual neural networks by Artem Chashchin et al
10-10-2019	PROFET: Construction and Inference of DBNs Based on Mathematical Models by Hamda Ajmal et al
10-09-2019	Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution by Younkwan Lee et al
10-08-2019	NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks by Sehyun Chun et al
10-08-2019	AutoML using Metadata Language Embeddings by Iddo Drori et al
10-11-2019	Learning Cluster Structured Sparsity by Reweighting by Yulun Jiang et al
10-09-2019	PipeMare: Asynchronous Pipeline Parallel DNN Training by Bowen Yang et al
10-10-2019	A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model by Haohao Li et al
10-10-2019	Learning interaction kernels in heterogeneous systems of agents from multiple trajectories by Fei Lu et al
10-11-2019	Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge by Zhiyong Du et al
10-11-2019	Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation by Elahe Arani et al
10-09-2019	Spatio-Temporal Alignments: Optimal transport through space and time by Hicham Janati et al
10-09-2019	A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks by Takanori Maehara et al
10-09-2019	How Well Do WGANs Estimate the Wasserstein Metric? by Anton Mallasto et al
10-09-2019	SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition by Younkwan Lee et al
10-08-2019	Differentially private anonymized histograms by Ananda Theertha Suresh
10-10-2019	Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework by Zirui Wang et al
10-08-2019	Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas by Shriphani Palakodety et al
10-09-2019	Deep Learning Accelerated Light Source Experiments by Zhengchun Liu et al
10-10-2019	First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation by Luca Mazzon et al
10-09-2019	From Visual Place Recognition to Navigation: Learning Sample-Efficient Control Policies across Diverse Real World Environments by Marvin Chancán et al
10-11-2019	Learning Analogy-Preserving Sentence Embeddings for Answer Selection by Aissatou Diallo et al
10-10-2019	Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling by Changying Du et al
10-10-2019	Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius by Junjie Jiang et al
10-11-2019	Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning by Changying Du et al
10-08-2019	ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations by Vivek Sharma et al
10-11-2019	Relation learning in a neurocomputational architecture supports cross-domain transfer by Leonidas A. A. Doumas et al
10-09-2019	Privacy-preserving and yet Robust Collaborative Filtering Recommender as a Service by Qiang Tang