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Representation Learning

4516 directly classified papers

Papers per year

Papers

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion NIPS 2019
Learning Representations by Maximizing Mutual Information Across Views NIPS 2019
Approximating the Permanent by Sampling from Adaptive Partitions NIPS 2019
Unsupervised learning of object structure and dynamics from videos NIPS 2019
Learning Disentangled Representation for Robust Person Re-identification NIPS 2019
Learning elementary structures for 3D shape generation and matching NIPS 2019
Deep Signature Transforms NIPS 2019
Provable Non-linear Inductive Matrix Completion NIPS 2019
Online Normalization for Training Neural Networks NIPS 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? NIPS 2019
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling NIPS 2019
Learning Disentangled Representations for Recommendation NIPS 2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NIPS 2019
Importance Resampling for Off-policy Prediction NIPS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment NIPS 2019
Visual Concept-Metaconcept Learning NIPS 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NIPS 2019
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time NIPS 2019
Continual Unsupervised Representation Learning NIPS 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 2019
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI NIPS 2019
Learning Hierarchical Priors in VAEs NIPS 2019
Guided Similarity Separation for Image Retrieval NIPS 2019
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations NIPS 2019