papers | Deep Learning JP - Part 61

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

Monaural Audio Source Separationusing Variational Autoencoders

Libra R-CNN: Towards Balanced Learning for Object Detection

Approximating CNNs with Bag-of-local-Featuresn models works surprisingly well on ImageNet

AutoAugment: LearningAugmentation Strategies from Data & Learning DataAugmentation Strategies for Object Detection

Shaping Belief States with Generative Environment Models for RL

Model-Based Reinforcement Learning via Meta-Policy Optimization

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

Estimating Predictive Uncertainty via Prior Networks

Deterministic Variational Inference for RobustBayesian Neural Networks (ICLR2019)

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