12.02.18 "Learning" papers

11-30-2018	Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time by Tom Tirer et al
11-28-2018	Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding by Hassan Akbari et al
11-28-2018	Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data by Miriam Shiffman et al
11-29-2018	Uncertainty propagation in neural networks for sparse coding by Danil Kuzin et al
11-30-2018	Inferring Concept Prerequisite Relations from Online Educational Resources by Sudeshna Roy et al
11-30-2018	AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods by Tomasz M. Rutkowski et al
11-29-2018	Networks for Nonlinear Diffusion Problems in Imaging by Simon Arridge et al
11-30-2018	ADSaS: Comprehensive Real-time Anomaly Detection System by Sooyeon Lee et al
11-29-2018	Regression and Classification by Zonal Kriging by Jean Serra et al
11-29-2018	Unlabeled Compression Schemes Exceeding the VC-dimension by Dömötör Pálvölgyi et al
11-29-2018	Locally Differentially-Private Randomized Response for Discrete Distribution Learning by Adriano Pastore et al
11-29-2018	BCCNet: Bayesian classifier combination neural network by Olga Isupova et al
11-30-2018	Neural separation of observed and unobserved distributions by Tavi Halperin et al
11-29-2018	Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting by Yuuki Yokoyama et al
11-28-2018	Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models by Pei Pei Chen et al
11-29-2018	Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy by Wen Wang et al
11-28-2018	Shared Representational Geometry Across Neural Networks by Qihong Lu et al
11-28-2018	Experience Replay for Continual Learning by David Rolnick et al
11-28-2018	Disease phenotyping using deep learning: A diabetes case study by Sina Rashidian et al
11-28-2018	Unsupervised Meta-Learning For Few-Shot Image and Video Classification by Siavash Khodadadeh et al
11-28-2018	Unrepresentative video data: A review and evaluation by Georgios Mastorakis
11-28-2018	The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation by Saeid Safaei et al
11-29-2018	Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing by Carolin Lawrence et al
11-28-2018	Improved Calibration of Numerical Integration Error in Sigma-Point Filters by Jakub Prüher et al
11-30-2018	Advance Prediction of Ventricular Tachyarrhythmias using Patient Metadata and Multi-Task Networks by Marek Rei et al
11-29-2018	Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting by Artur Bekasov et al
11-29-2018	Robust Bayesian Cluster Enumeration by Freweyni K. Teklehaymanot et al
11-29-2018	A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics by Lia Ahrens et al
11-30-2018	Practical methods for graph two-sample testing by Debarghya Ghoshdastidar et al
11-29-2018	Data-driven metasurface discovery by Jiaqi Jiang et al
11-30-2018	Online abstraction with MDP homomorphisms for Deep Learning by Ondrej Biza et al
11-28-2018	A randomized gradient-free attack on ReLU networks by Francesco Croce et al
11-30-2018	Void Filling of Digital Elevation Models with Deep Generative Models by Konstantinos Gavriil et al
11-29-2018	A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis by Cédric Beaulac et al
11-28-2018	Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data by Eunjeong Jeong et al
11-29-2018	Smoothed Analysis in Unsupervised Learning via Decoupling by Aditya Bhaskara et al
11-28-2018	Image Reconstruction with Predictive Filter Flow by Shu Kong et al
11-28-2018	A Structure-aware Online Learning Algorithm for Markov Decision Processes by Arghyadip Roy et al
11-29-2018	Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks by Nils Mönning et al
11-29-2018	Active Learning in Recommendation Systems with Multi-level User Preferences by Yuheng Bu et al
11-29-2018	Data-parallel distributed training of very large models beyond GPU capacity by Samuel Matzek et al
11-30-2018	Cost-sensitive Learning of Deep Semantic Models for Sponsored Ad Retrieval by Nikit Begwani et al
11-28-2018	Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language by Matthew D. Hoffman et al
11-28-2018	Distributed Inference for Linear Support Vector Machine by Xiaozhou Wang et al
11-29-2018	Graph Multiview Canonical Correlation Analysis by Jia Chen et al
11-29-2018	Learning with Labels of Existing and Nonexisting by Xi-Lin Li
11-29-2018	Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care by Beau Norgeot et al
11-29-2018	Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation by Bret Nestor et al
11-29-2018	Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs by Kazuki Osawa et al
11-28-2018	GIRNet: Interleaved Multi-Task Recurrent State Sequence Models by Divam Gupta et al
11-28-2018	Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview by Michael Kläs
11-28-2018	Racial categories in machine learning by Sebastian Benthall et al
11-29-2018	Leveraging Deep Steins Unbiased Risk Estimator for Unsupervised X-ray Denoising by Fahad Shamshad et al
11-30-2018	Generative Models for Simulating Mobility Trajectories by Vaibhav Kulkarni et al
11-28-2018	Automated Algorithm Selection: Survey and Perspectives by Pascal Kerschke et al

11-28-2018	Trajectory-based Learning for Ball-in-Maze Games by Sujoy Paul et al
11-30-2018	LoAdaBoost:Loss-Based AdaBoost Federated Machine Learning on medical Data by Li Huang et al
11-30-2018	Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders by Hyungu Kahng et al
11-30-2018	Modality-based Factorization for Multimodal Fusion by Elham J. Barezi et al
11-29-2018	On Implicit Filter Level Sparsity in Convolutional Neural Networks by Dushyant Mehta et al
11-28-2018	Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets by Eric Benhamou
11-28-2018	Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge by Gabriel Hartman et al
11-30-2018	Practical Full Resolution Learned Lossless Image Compression by Fabian Mentzer et al
11-29-2018	Eigenvalue Corrected Noisy Natural Gradient by Juhan Bae et al
11-29-2018	Are All Training Examples Created Equal? An Empirical Study by Kailas Vodrahalli et al
11-29-2018	Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling by Josue Nassar et al
11-28-2018	Attributed Network Embedding for Incomplete Structure Information by Chengbin Hou et al
11-29-2018	Learning to Reason with Third-Order Tensor Products by Imanol Schlag et al
11-29-2018	Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction by Chunlin Gong et al
11-29-2018	Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments by Howard Chen et al
11-30-2018	Runtime Analysis for Self-adaptive Mutation Rates by Benjamin Doerr et al
11-29-2018	How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology by Dhaval Adjodah et al
11-29-2018	Deep Multi-Agent Reinforcement Learning with Relevance Graphs by Aleksandra Malysheva et al
11-29-2018	A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods by David Charte et al
11-29-2018	The Power of The Hybrid Model for Mean Estimation by Yatharth Dubey et al
11-28-2018	Deep Collective Matrix Factorization for Augmented Multi-View Learning by Ragunathan Mariappan et al
11-28-2018	Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects by Michael A. Alcorn et al
11-28-2018	A regression approach for explaining manifold embedding coordinates by Marina Meila et al
11-30-2018	On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent by Noah Golmant et al
11-28-2018	Prediction Factory: automated development and collaborative evaluation of predictive models by Gaurav Sheni et al
11-30-2018	Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) by S. J. Hamilton et al
11-29-2018	A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation by Yao Cui et al
11-28-2018	An Adversarial Approach for Explainable AI in Intrusion Detection Systems by Daniel L. Marino et al
11-29-2018	Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series by Daniel J. Trosten et al
11-28-2018	Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals by Emilie Kaufmann et al
11-29-2018	An Interpretable Model with Globally Consistent Explanations for Credit Risk by Chaofan Chen et al
11-28-2018	Adversarial Bandits with Knapsacks by Nicole Immorlica et al
11-28-2018	Predicting the Computational Cost of Deep Learning Models by Daniel Justus et al
11-29-2018	Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models by Daniil Polykovskiy et al
11-30-2018	Lipizzaner: A System That Scales Robust Generative Adversarial Network Training by Tom Schmiedlechner et al
11-29-2018	Learning Finite State Representations of Recurrent Policy Networks by Anurag Koul et al
11-28-2018	Neural probabilistic motor primitives for humanoid control by Josh Merel et al
11-29-2018	Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning by Xian Yeow Lee et al
11-28-2018	FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record by Dianbo Liu et al
11-28-2018	Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network by Antônio H. Ribeiro et al
11-29-2018	Feature selection with optimal coordinate ascent (OCA) by David Saltiel et al
11-29-2018	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks by Lile Cai et al
11-30-2018	Asymptotically Optimal Multi-Armed Bandit Activation Policies under Side Constraints by Apostolos N. Burnetas et al
11-29-2018	Incremental Scene Synthesis by Benjamin Planche et al
11-29-2018	Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach by Thibaut Issenhuth et al
11-29-2018	Regression by clustering using Metropolis-Hastings by Adolfo Quiroz et al
11-29-2018	On the Transferability of Representations in Neural Networks Between Datasets and Tasks by Haytham M. Fayek et al
11-28-2018	AI based Safety System for Employees of Manufacturing Industries in Developing Countries by Abhisek Das et al
11-29-2018	On the Implicit Assumptions of GANs by Ke Li et al