Self-Supervised Learning

Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning RSS 2024 Repoformer: Selective Retrieval for Repository-Level Code Completion ICML 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024 Re-ReST: Reflection-Reinforced Self-Training for Language Agents EMNLP 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Restoration by Generation with Constrained Priors CVPR 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024 Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective ICML 2024 Rethinking Multi-view Representation Learning via Distilled Disentangling CVPR 2024 Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024 Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point AAAI 2024 Retrieval-based Disentangled Representation Learning with Natural Language Supervision ICLR 2024 Return of Unconditional Generation: A Self-supervised Representation Generation Method NeurIPS 2024 Reverse-Engineering the Reader EMNLP 2024 Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024 Revisiting Pixel-Level Contrastive Pre-Training on Scene Images WACV 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024 Revisiting the Power of Prompt for Visual Tuning ICML 2024 Revisit Self-supervision with Local Structure-from-Motion ECCV 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search ACL 2024 RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold NeurIPS 2024 R-MAE: Regions Meet Masked Autoencoders ICLR 2024