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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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'10
'15
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'25

Papers (including subtopics)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation EMNLP 2024 UniMTS: Unified Pre-training for Motion Time Series NeurIPS 2024 UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt COLING 2024 UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding COLING 2024 UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory CVPR 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 Universality in Transfer Learning for Linear Models NeurIPS 2024 Universal Sample Coding NeurIPS 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions NAACL 2024 Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization CVPR 2024 Unknown Script: Impact of Script on Cross-Lingual Transfer NAACL 2024 Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024 Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring EMNLP 2024 Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NeurIPS 2024 Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts ICML 2024 Unlocking Emergent Modularity in Large Language Models NAACL 2024 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation NAACL 2024 Unlocking the Potential of Global Human Expertise NeurIPS 2024 Unlocking the Potential of Model Merging for Low-Resource Languages EMNLP 2024 Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation ICLR 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024 Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images ICML 2024 Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features MIDL 2024