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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

TeST: Test-Time Self-Training Under Distribution Shift WACV 2023
Feature Disentanglement Learning With Switching and Aggregation for Video-Based Person Re-Identification WACV 2023
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition ICML 2023
Improved Active Multi-Task Representation Learning via Lasso ICML 2023
Understanding Self-Predictive Learning for Reinforcement Learning ICML 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization ICML 2023
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective ICML 2023
Robust Weak Supervision with Variational Auto-Encoders ICML 2023
Global Selection of Contrastive Batches via Optimization on Sample Permutations ICML 2023
Efficient RL via Disentangled Environment and Agent Representations ICML 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement ICML 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization ICML 2023
SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes ICML 2023
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations ICML 2023
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings ICML 2023
Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023
Policy Contrastive Imitation Learning ICML 2023
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks ICML 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation ICML 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations ICML 2023
Metagenomic Binning using Connectivity-constrained Variational Autoencoders ICML 2023
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN ICML 2023
Learning Representations without Compositional Assumptions ICML 2023