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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
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'25

Papers (including subtopics)

How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024 How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024 HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation CVPR 2024 HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction NAACL 2024 HuLU: Hungarian Language Understanding Benchmark Kit COLING 2024 Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class COLING 2024 Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese COLING 2024 Human-oriented Representation Learning for Robotic Manipulation RSS 2024 Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NeurIPS 2024 Hybrid Mamba for Few-Shot Segmentation NeurIPS 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 Hyperbolic Representations for Prompt Learning COLING 2024 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings WACV 2024 HyperMR: Hyperbolic Hypergraph Multi-hop Reasoning for Knowledge-based Visual Question Answering COLING 2024 Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement NAACL 2024 HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks COLING 2024 Hypothesis Search: Inductive Reasoning with Language Models ICLR 2024 Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection AAAI 2024 ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification NAACL 2024 Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures NeurIPS 2024 Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence COLING 2024 Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy EMNLP 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NeurIPS 2024