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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)

Optimal Algorithms for Learning Partitions with Faulty Oracles NeurIPS 2024 Optimal Multi-Distribution Learning COLT 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Optimal Regret Bounds for Collaborative Learning in Bandits ALT 2024 Optimistic Rates for Learning from Label Proportions COLT 2024 Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024 Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean COLING 2024 Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach EMNLP 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation CVPR 2024 Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition ACL 2024 OSACT 2024 Task 2: Arabic Dialect to MSA Translation COLING 2024 OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables ACL 2024 Outdated Issue Aware Decoding for Factual Knowledge Editing ACL 2024 Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System ACL 2024 Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors ICML 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NeurIPS 2024 Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ACL 2024 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning ICLR 2024 OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking NeurIPS 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning NAACL 2024 PALM: Few-Shot Prompt Learning for Audio Language Models EMNLP 2024 PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs ACL 2024 Parameter Competition Balancing for Model Merging NeurIPS 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning NeurIPS 2024