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Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

4
29
67
1,124
2,486
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'25

Papers (including subtopics)

RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation CVPR 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts SemEval 2024 RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs EMNLP 2024 RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024 Robot Fleet Learning via Policy Merging ICLR 2024 Robust agents learn causal world models ICLR 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024 Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior ACML 2024 ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling IJCAI 2024 RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024 ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense SemEval 2024 Roux-lette at “Discharge Me!”: Reducing EHR Chart Burden with a Simple, Scalable, Clinician-Driven AI Approach ACL 2024 RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning CoRL 2024 Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin ACL 2024 Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts NeurIPS 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 2024 SAI3D: Segment Any Instance in 3D Scenes CVPR 2024 SambaLingo: Teaching Large Language Models New Languages EMNLP 2024 SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024 Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024