Week ending 11.25.18 "Learning" papers

 

11-25-2018

Non-local RoI for Cross-Object Perception
by Shou-Yao Roy Tseng et al

11-21-2018

Regularizing by the Variance of the Activations Sample-Variances
by Etai Littwin et al

11-21-2018

Distinguishing correlation from causation using genome-wide association studies
by Luke J. O'Connor et al

11-24-2018

Streamlining Variational Inference for Constraint Satisfaction Problems
by Aditya Grover et al

11-21-2018

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks
by Raghavendra Selvan et al

11-25-2018

Foreground Clustering for Joint Segmentation and Localization in Videos and Images
by Abhishek Sharma

11-23-2018

Privacy-preserving Transfer Learning for Knowledge Sharing
by Xiawei Guo et al

11-23-2018

The Error is the Feature: how to Forecast Lightning using a Model Prediction Error
by Christian Schön et al

11-21-2018

Improving PSO Global Method for Feature Selection According to Iterations Global Search and Chaotic Theory
by Shahin Pourbahrami

11-21-2018

Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays
by Sejin Park et al

11-21-2018

Towards Robust Neural Networks with Lipschitz Continuity
by Muhammad Usama et al

11-21-2018

Universal Approximation by a Slim Network with Sparse Shortcut Connections
by Fenglei Fan et al

11-22-2018

On dynamic ensemble selection and data preprocessing for multi-class imbalance learning
by Rafael M. O. Cruz et al

11-23-2018

Temporally Coherent GANs for Video Super-Resolution (TecoGAN)
by Mengyu Chu et al

11-21-2018

How to improve the interpretability of kernel learning
by Jinwei Zhao et al

11-23-2018

Nonlinear Regression without i.i.d. Assumption
by Qing Xu et al

11-22-2018

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
by Sicong Huang et al

11-23-2018

Amortized Bayesian inference for clustering models
by Ari Pakman et al

11-21-2018

Efficient nonmyopic active search with applications in drug and materials discovery
by Shali Jiang et al

11-21-2018

An Off-policy Policy Gradient Theorem Using Emphatic Weightings
by Ehsan Imani et al

11-26-2018

Universal Semi-Supervised Semantic Segmentation
by Tarun Kalluri et al

11-26-2018

ExpandNets: Exploiting Linear Redundancy to Train Small Networks
by Shuxuan Guo et al

11-26-2018

Generalised Differential Privacy for Text Document Processing
by Natasha Fernandes et al

11-23-2018

On the Importance of Strong Baselines in Bayesian Deep Learning
by Jishnu Mukhoti et al

11-23-2018

Explicit Interaction Model towards Text Classification
by Cunxiao Du et al

11-26-2018

Sentence Encoding with Tree-constrained Relation Networks
by Lei Yu et al

11-21-2018

Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models
by Tatiana Shpakova et al

11-21-2018

Sequential Neural Methods for Likelihood-free Inference
by Conor Durkan et al

11-25-2018

The promises and pitfalls of Stochastic Gradient Langevin Dynamics
by Nicolas Brosse et al

11-22-2018

Bandits with Temporal Stochastic Constraints
by Priyank Agrawal et al

11-23-2018

MLModelScope: Evaluate and Measure ML Models within AI Pipelines
by Abdul Dakkak et al

11-26-2018

Control with Distributed Deep Reinforcement Learning: Learn a Better Policy
by Qihao Liu et al

11-23-2018

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
by Jérôme Rony et al

11-22-2018

Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
by Rafael T. Sousa et al

11-21-2018

SpotTune: Transfer Learning through Adaptive Fine-tuning
by Yunhui Guo et al

11-21-2018

Adversarial Classifier for Imbalanced Problems
by Ehsan Montahaei et al

11-21-2018

Self-Adversarially Learned Bayesian Sampling
by Yang Zhao et al

11-22-2018

Data Augmentation using Random Image Cropping and Patching for Deep CNNs
by Ryo Takahashi et al

11-26-2018

A Differential Topological View of Challenges in Learning with Feedforward Neural Networks
by Hao Shen

11-23-2018

Representer Point Selection for Explaining Deep Neural Networks
by Chih-Kuan Yeh et al

11-23-2018

Interpretable Convolutional Filters with SincNet
by Mirco Ravanelli et al

11-26-2018

Rejoinder for Probabilistic Integration: A Role in Statistical Computation?
by Francois-Xavier Briol et al

11-22-2018

Revisiting Pre-training: An Efficient Training Method for Image Classification
by Bowen Cheng et al

11-22-2018

Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels
by Jun Liu et al

11-21-2018

Multi-layered Graph Embedding with Graph Convolutional Networks
by Mahsa Ghorbani et al

11-23-2018

Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence
by Xiu Yang et al

11-23-2018

Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models
by Xinzhi Wang et al

11-25-2018

Robust Super-Level Set Estimation using Gaussian Processes
by Andrea Zanette et al

11-23-2018

Characterizing and Avoiding Negative Transfer
by Zirui Wang et al

11-22-2018

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
by Adnan Siraj Rakin et al

11-23-2018

Learning Multiple Defaults for Machine Learning Algorithms
by Florian Pfisterer et al

11-25-2018

Poisoning Behavioral Malware Clustering
by Battista Biggio et al

11-21-2018

Privacy-Preserving Collaborative Prediction using Random Forests
by Irene Giacomelli et al

11-23-2018

On Filter Size in Graph Convolutional Networks
by Dinh Van Tran et al

11-26-2018

Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification
by Edward De Brouwer et al

11-23-2018

Do GAN Loss Functions Really Matter?
by Yipeng Qin et al

11-23-2018

Contributions to Biclustering of Microarray Data Using Formal Concept Analysis
by Amina Houari

11-23-2018

Kernel-Based Training of Generative Networks
by Kalliopi Basioti et al

11-21-2018

Robust Active Learning for Electrocardiographic Signal Classification
by Xu Chen et al

11-21-2018

Learning from Multiview Correlations in Open-Domain Videos
by Nils Holzenberger et al

11-25-2018

Online Newton Step Algorithm with Estimated Gradient
by Binbin Liu et al

11-25-2018

Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning
by Gurunath Reddy M et al

11-21-2018

Surrogate-assisted parallel tempering for Bayesian neural learning
by Rohitash Chandra et al

11-24-2018

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
by Jongsoo Park et al

11-22-2018

Feature Selection for Survival Analysis with Competing Risks using Deep Learning
by Carl Rietschel et al

11-21-2018

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning
by Changhee Lee et al

11-22-2018

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning
by Sainbayar Sukhbaatar et al

11-22-2018

Creating a contemporary corpus of similes in Serbian by using natural language processing
by Nikola Milosevic et al

11-23-2018

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
by Zi Wang et al

11-23-2018

Learning Attractor Dynamics for Generative Memory
by Yan Wu et al

11-24-2018

Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
by Hyeoncheol Cho et al

11-25-2018

A Policy Gradient Method with Variance Reduction for Uplift Modeling
by Chenchen Li et al

11-25-2018

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
by Ryohei Suzuki et al

11-25-2018

Please Stop Explaining Black Box Models for High Stakes Decisions
by Cynthia Rudin

11-23-2018

Joint Neural Architecture Search and Quantization
by Yukang Chen et al

11-22-2018

Distributed Gradient Descent with Coded Partial Gradient Computations
by Emre Ozfatura et al

11-25-2018

Inexact SARAH Algorithm for Stochastic Optimization
by Lam M. Nguyen et al

11-21-2018

Spread Divergences
by David Barber et al

11-21-2018

Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks
by Ganapathy S. Natarajan et al

11-24-2018

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation
by Rim Assouel et al

11-23-2018

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
by Pak Lun Kevin Ding et al

11-25-2018

Planning in Dynamic Environments with Conditional Autoregressive Models
by Johanna Hansen et al

11-24-2018

Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels
by Sabri Boughorbel et al

11-21-2018

An Efficient Approach to Informative Feature Extraction from Multimodal Data
by Lichen Wang et al

11-23-2018

A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting
by Sisheng Liang et al

11-24-2018

OCLEP+: One-class Anomaly and Intrusion Detection Using Minimal Length of Emerging Patterns
by Guozhu Dong et al

11-23-2018

Model-Based Reinforcement Learning for Sepsis Treatment
by Aniruddh Raghu et al

11-26-2018

A Convolutional Neural Network based Live Object Recognition System as Blind Aid
by Kedar Potdar et al

11-24-2018

Average-Case Information Complexity of Learning
by Ido Nachum et al

11-22-2018

Self Paced Adversarial Training for Multimodal Few-shot Learning
by Frederik Pahde et al

11-24-2018

Hardware Conditioned Policies for Multi-Robot Transfer Learning
by Tao Chen et al

11-24-2018

On Periodic Functions as Regularizers for Quantization of Neural Networks
by Maxim Naumov et al

11-22-2018

Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces
by Ziv Katzir et al

11-23-2018

Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
by Clement Fung et al

11-26-2018

Robustness against the channel effect in pathological voice detection
by Yi-Te Hsu et al

11-23-2018

Robustness via curvature regularization, and vice versa
by Seyed-Mohsen Moosavi-Dezfooli et al

11-25-2018

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task
by Rémi Besson et al

11-25-2018

Variational End-to-End Navigation and Localization
by Alexander Amini et al

11-24-2018

Evolutionary-Neural Hybrid Agents for Architecture Search
by Krzysztof Maziarz et al

11-22-2018

Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
by Jian-Feng Cai et al

11-26-2018

Low-Dose CT via Deep CNN with Skip Connection and Network in Network
by Chenyu You et al

11-26-2018

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers
by Dominika Tkaczyk et al

11-26-2018

HOGWILD!-Gibbs can be PanAccurate
by Constantinos Daskalakis et al

11-21-2018

Unsupervised Multimodal Representation Learning across Medical Images and Reports
by Tzu-Ming Harry Hsu et al

11-21-2018

A Novel Integrated Framework for Learning both Text Detection and Recognition
by Wanchen Sui et al

11-25-2018

50 Years of Test (Un)fairness: Lessons for Machine Learning
by Ben Hutchinson et al

11-25-2018

The Anatomy of a Cryptocurrency Pump-and-Dump Scheme
by Jiahua Xu et al

11-21-2018

HyperAdam: A Learnable Task-Adaptive Adam for Network Training
by Shipeng Wang et al

11-21-2018

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
by Yuqian Jiang et al

11-22-2018

PSICA: decision trees for probabilistic subgroup identification with categorical treatments
by Oleg Sysoev et al

11-22-2018

Online Collective Animal Movement Activity Recognition
by Kehinde Owoeye et al

 
Craig Smith