2019.05.12 Learning papers

05-09-2019	The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study by Daniel S. Park et al
05-07-2019	Bayesian Optimization using Deep Gaussian Processes by Ali Hebbal et al
05-09-2019	S44L: Self-Supervised Semi-Supervised Learning by Xiaohua Zhai et al
05-09-2019	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting by Rajat Sen et al
05-08-2019	Importance Weighted Hierarchical Variational Inference by Artem Sobolev et al
05-09-2019	Learning Loss for Active Learning by Donggeun Yoo et al
05-07-2019	REGAL: Transfer Learning For Fast Optimization of Computation Graphs by Aditya Paliwal et al
05-07-2019	PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms by Wen Dong et al
05-08-2019	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks by Jiong Zhang et al
05-07-2019	MASS: Masked Sequence to Sequence Pre-training for Language Generation by Kaitao Song et al
05-07-2019	Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency by Tejas Khot et al
05-09-2019	Interactive Image Generation Using Scene Graphs by Gaurav Mittal et al
05-10-2019	Selectivity Estimation with Deep Likelihood Models by Zongheng Yang et al
05-09-2019	Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection -- An Analysis on CIC-AWS-2018 dataset by Qianru Zhou et al
05-10-2019	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks by K. Darshana Abeyrathna et al
05-08-2019	Does Data Augmentation Lead to Positive Margin? by Shashank Rajput et al
05-07-2019	Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation by Giorgos Bouritsas et al
05-08-2019	Data-Efficient Mutual Information Neural Estimator by Xiao Lin et al
05-10-2019	GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing by Yuxiu Hua et al
05-08-2019	Learning Embeddings into Entropic Wasserstein Spaces by Charlie Frogner et al
05-10-2019	Supervized Segmentation with Graph-Structured Deep Metric Learning by Loic Landrieu et al
05-09-2019	Pretrain Soft Q-Learning with Imperfect Demonstrations by Xiaoqin Zhang et al
05-07-2019	Understanding attention in graph neural networks by Boris Knyazev et al
05-08-2019	Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models by Francisco Sahli Costabal et al
05-07-2019	Learning to Interpret Satellite Images in Global Scale Using Wikipedia by Burak Uzkent et al
05-10-2019	Reinforcement Learning in Non-Stationary Environments by Sindhu Padakandla et al
05-10-2019	Attention-based Deep Reinforcement Learning for Multi-view Environments by Elaheh Barati et al
05-08-2019	PiNet: A Permutation Invariant Graph Neural Network for Graph Classification by Peter Meltzer et al
05-08-2019	QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field by Yicheng Chen et al
05-07-2019	Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review by Benyamin Ghojogh et al
05-08-2019	MAP Inference via L2-Sphere Linear Program Reformulation by Baoyuan Wu et al
05-08-2019	Generalized Dilation Neural Networks by Gavneet Singh Chadha et al
05-09-2019	Random Function Priors for Correlation Modeling by Aonan Zhang et al
05-08-2019	Reconstruction of Privacy-Sensitive Data from Protected Templates by Shideh Rezaeifar et al
05-07-2019	Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning by Emma Tosch et al
05-07-2019	Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care by Anna-Lena Popkes et al
05-07-2019	Knowing The What But Not The Where in Bayesian Optimization by Vu Nguyen et al
05-09-2019	Beta Survival Models by David Hubbard et al
05-07-2019	Bayesian Optimization for Multi-objective Optimization and Multi-point Search by Takashi Wada et al
05-07-2019	Adversarial Variational Embedding for Robust Semi-supervised Learning by Xiang Zhang et al
05-07-2019	FANTrack: 3D Multi-Object Tracking with Feature Association Network by Erkan Baser et al
05-09-2019	Two-stage Best-scored Random Forest for Large-scale Regression by Hanyuan Hang et al
05-10-2019	Language Modeling with Deep Transformers by Kazuki Irie et al
05-09-2019	Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach by H. D. Nguyen et al
05-10-2019	Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning by Andrei Claudiu Roibu
05-10-2019	Credit Scoring for Micro-Loans by Nikolay Dubina et al
05-08-2019	3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning by Ivo Matteo Baltruschat et al
05-08-2019	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines by Chirag Nagpal et al
05-10-2019	Bayesian Optimized Continual Learning with Attention Mechanism by Ju Xu et al
05-09-2019	Differentially Private Learning with Adaptive Clipping by Om Thakkar et al
05-09-2019	Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms by Simon F. G. Ehlers
05-10-2019	Quantifying Teaching Behaviour in Robot Learning from Demonstration by Aran Sena et al
05-08-2019	Universal Sound Separation by Ilya Kavalerov et al
05-10-2019	On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes by Stefan Rudolph et al
05-10-2019	Single-Path NAS: Device-Aware Efficient ConvNet Design by Dimitrios Stamoulis et al
05-07-2019	Rethinking Arithmetic for Deep Neural Networks by George A. Constantinides
05-10-2019	Domain Adversarial Reinforcement Learning for Partial Domain Adaptation by Jin Chen et al
05-09-2019	When Deep Learning Met Code Search by Jose Cambronero et al
05-09-2019	On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization by Hao Yu et al
05-09-2019	Universal Adversarial Perturbations for Speech Recognition Systems by Paarth Neekhara et al
05-09-2019	Exploring the Hyperparameter Landscape of Adversarial Robustness by Evelyn Duesterwald et al
05-10-2019	Predicting Path Failure In Time-Evolving Graphs by Jia Li et al
05-07-2019	A Visual Programming Paradigm for Abstract Deep Learning Model Development by Srikanth Tamilselvam et al
05-08-2019	Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution by Manuel Herzog et al
05-10-2019	Second Order Value Iteration in Reinforcement Learning by Chandramouli Kamanchi et al
05-07-2019	Generating Realistic Unrestricted Adversarial Inputs using Dual-Objective GAN Training by Isaac Dunn et al
05-07-2019	FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs by Sukarna Barua et al
05-10-2019	AI in the media and creative industries by Giuseppe Amato et al
05-08-2019	SAdam: A Variant of Adam for Strongly Convex Functions by Guanghui Wang et al
05-08-2019	Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets by Gerome Vivar et al
05-10-2019	Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model by Tong Wang et al
05-07-2019	Adversarially Robust Submodular Maximization under Knapsack Constraints by Dmitrii Avdiukhin et al
05-09-2019	Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models by Sungjae Cho et al
05-10-2019	Interpreting and Evaluating Neural Network Robustness by Fuxun Yu et al
05-08-2019	MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records by Xi Sheryl Zhang et al
05-07-2019	Accelerated Target Updates for Q-learning by Bowen Weng et al
05-09-2019	Integrating Tensor Similarity to Enhance Clustering Performance by Hong Peng et al
05-07-2019	Uncertainty-Aware Data Aggregation for Deep Imitation Learning by Yuchen Cui et al
05-08-2019	Smoothing Policies and Safe Policy Gradients by Matteo Papini et al
05-07-2019	A Complementary Learning Systems Approach to Temporal Difference Learning by Sam Blakeman et al
05-10-2019	Priority-based Parameter Propagation for Distributed DNN Training by Anand Jayarajan et al
05-09-2019	Coresets for Minimum Enclosing Balls over Sliding Windows by Yanhao Wang et al
05-07-2019	Unified Adversarial Invariance by Ayush Jaiswal et al
05-10-2019	Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks by Zhengwei Wang et al
05-07-2019	Object Exchangeability in Reinforcement Learning: Extended Abstract by John Mern et al
05-07-2019	A deep learning approach for analyzing the composition of chemometric data by Muhammad Bilal et al
05-08-2019	Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction by Yunhan Jia et al
05-09-2019	Adversarial Defense Framework for Graph Neural Network by Shen Wang et al
05-10-2019	Semi-supervised and Population Based Training for Voice Commands Recognition by Oguz H. Elibol et al
05-07-2019	High Frequency Residual Learning for Multi-Scale Image Classification by Bowen Cheng et al
05-08-2019	Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem by Nadav Merlis et al
05-10-2019	Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs by Okan Köpüklü et al
05-10-2019	Refined Complexity of PCA with Outliers by Fedor V. Fomin et al
05-07-2019	Deep Landscape Forecasting for Real-time Bidding Advertising by Kan Ren et al
05-09-2019	Path Design for Cellular-Connected UAV with Reinforcement Learning by Yong Zeng et al
05-09-2019	Mitigating Deep Learning Vulnerabilities from Adversarial Examples Attack in the Cybersecurity Domain by Chris Einar San Agustin
05-10-2019	A Contrastive Divergence for Combining Variational Inference and MCMC by Francisco J. R. Ruiz et al
05-09-2019	A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables by Shu Wang et al
05-07-2019	A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks by Lior Deutsch et al
05-08-2019	Generative Model with Dynamic Linear Flow by Huadong Liao et al
05-07-2019	F-measure Maximizing Logistic Regression by Masaaki Okabe et al
05-07-2019	An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning by Sakshi Mishra et al
05-07-2019	Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation by Yaroub Elloumi et al
05-09-2019	Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion by Orhan Ocal et al
05-07-2019	Forest Representation Learning Guided by Margin Distribution by Shen-Huan Lv et al
05-09-2019	Best-scored Random Forest Density Estimation by Hanyuan Hang et al
05-09-2019	Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation by Colin Wei et al
05-07-2019	Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization by Yufei Han et al
05-10-2019	Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges by Rob Ashmore et al
05-10-2019	Formal Verification of Input-Output Mappings of Tree Ensembles by John Törnblom et al
05-10-2019	Multiple Independent Subspace Clusterings by Xing Wang et al
05-07-2019	Transferable Knowledge for Low-cost Decision Making in Cloud Environments by Faiza Samreen et al
05-08-2019	A Hardware-Oriented and Memory-Efficient Method for CTC Decoding by Siyuan Lu et al
05-07-2019	Guided Visual Exploration of Relations in Data Sets by Kai Puolamäki et al
05-08-2019	Convolutional Neural Network for Intrusion Detection System In Cyber Physical Systems by Gael Kamdem De Teyou et al
05-07-2019	A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks by Saima Sharmin et al
05-10-2019	An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs by Daniele Palossi et al
05-09-2019	Compositional Coding for Collaborative Filtering by Chenghao Liu et al
05-07-2019	On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects by Jorgen F. Erichsen et al
05-07-2019	Sparse multiresolution representations with adaptive kernels by Maria Peifer et al