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Representation Learning

10 directly classified papers

Papers per year

Papers

Homogeneous Dynamics Space for Heterogeneous Humans CVPR 2025
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers CVPR 2023
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection CVPR 2021
Handling Missing Data with Graph Representation Learning NIPS 2020
Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020
An Empirical Study on The Properties of Random Bases for Kernel Methods NIPS 2017
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules ACL 2017
Feedforward Learning of Mixture Models NIPS 2014