conftrace_

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

Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023

Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023

Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023

Hyperbolic Contrastive Learning for Visual Representations Beyond Objects CVPR 2023

Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023

Switchable Representation Learning Framework With Self-Compatibility CVPR 2023

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023

Wave to Syntax: Probing spoken language models for syntax INTERSPEECH 2023

Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment CVPR 2023

Label Information Bottleneck for Label Enhancement CVPR 2023

RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy NIPS 2023

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset NIPS 2023

Towards robust and generalizable representations of extracellular data using contrastive learning NIPS 2023

Brant: Foundation Model for Intracranial Neural Signal NIPS 2023

Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning CVPR 2023

Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NIPS 2023

Generalization Analysis for Contrastive Representation Learning ICML 2023

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023

FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023

A theory of representation learning gives a deep generalisation of kernel methods ICML 2023

RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning ICML 2023

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023

A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023

Learning Globally Smooth Functions on Manifolds ICML 2023