Self-Supervised Learning

Segment Anything without Supervision NeurIPS 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NeurIPS 2024 Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability EMNLP 2024 Selective Explanations NeurIPS 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ICLR 2024 Selective Prompting Tuning for Personalized Conversations with LLMs ACL 2024 Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution CVPR 2024 Self-Alignment with Instruction Backtranslation ICLR 2024 Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations EMNLP 2024 Self-Annotated 3D Geometric Learning for Smeared Points Removal WACV 2024 Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering EMNLP 2024 SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning ICLR 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction ICML 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences NeurIPS 2024 Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages EMNLP 2024 Self-Distilled Depth Refinement with Noisy Poisson Fusion NeurIPS 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards EMNLP 2024 SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes ECCV 2024 Self-Guided Masked Autoencoder NeurIPS 2024 Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning ICLR 2024 Self-Infilling Code Generation ICML 2024 Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024 Self-Labeling the Job Shop Scheduling Problem NeurIPS 2024