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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

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations AISTATS 2023
Deep equilibrium models as estimators for continuous latent variables AISTATS 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023
Blessing of Class Diversity in Pre-training AISTATS 2023
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023
Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023
Calibrated Multiple-Output Quantile Regression with Representation Learning JMLR 2023
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels JMLR 2023
Graph Clustering with Graph Neural Networks JMLR 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning JMLR 2023
Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization WACV 2023
Representation Recovering for Self-Supervised Pre-Training on Medical Images WACV 2023
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction WACV 2023
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond WACV 2023
Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding WACV 2023
An Embedding-Dynamic Approach to Self-Supervised Learning WACV 2023
ViewCLR: Learning Self-Supervised Video Representation for Unseen Viewpoints WACV 2023
Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning WACV 2023
Unifying Margin-Based Softmax Losses in Face Recognition WACV 2023