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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NIPS 2020
Telescoping Density-Ratio Estimation NIPS 2020
Latent World Models For Intrinsically Motivated Exploration NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Hierarchical nucleation in deep neural networks NIPS 2020
Learning Certified Individually Fair Representations NIPS 2020
On the Theory of Transfer Learning: The Importance of Task Diversity NIPS 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NIPS 2020
CompRess: Self-Supervised Learning by Compressing Representations NIPS 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NIPS 2020
Building powerful and equivariant graph neural networks with structural message-passing NIPS 2020
Parametric Instance Classification for Unsupervised Visual Feature learning NIPS 2020
Neural Execution Engines: Learning to Execute Subroutines NIPS 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases NIPS 2020
Robust large-margin learning in hyperbolic space NIPS 2020
Learning Optimal Representations with the Decodable Information Bottleneck NIPS 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration NIPS 2020
What Do Neural Networks Learn When Trained With Random Labels? NIPS 2020
Learning Disentangled Representations and Group Structure of Dynamical Environments NIPS 2020
Learning Parities with Neural Networks NIPS 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles NIPS 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Towards Understanding Hierarchical Learning: Benefits of Neural Representations NIPS 2020
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model NIPS 2020
On Numerosity of Deep Neural Networks NIPS 2020