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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

Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022
Active Multi-Task Representation Learning ICML 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation ICML 2022
Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning ICML 2022
Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022
DynaMixer: A Vision MLP Architecture with Dynamic Mixing ICML 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance ICML 2022
Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation JMLR 2022
A Survey of Vision-Language Pre-Trained Models IJCAI 2022
Masked Feature Generation Network for Few-Shot Learning IJCAI 2022
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition IJCAI 2022
Learning to Assemble Geometric Shapes IJCAI 2022
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering IJCAI 2022
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport IJCAI 2022
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning IJCAI 2022
Initializing Then Refining: A Simple Graph Attribute Imputation Network IJCAI 2022
Neural PCA for Flow-Based Representation Learning IJCAI 2022
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs IJCAI 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022
Whodunit? Learning to Contrast for Authorship Attribution AACL 2022
On the Generalization of Representations in Reinforcement Learning AISTATS 2022
Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022