conftrace_

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

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12

24

14

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29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning ICML 2024 Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 Quantifying Local Model Validity using Active Learning UAI 2024 Quantifying the Gain in Weak-to-Strong Generalization NeurIPS 2024 Quantifying the Persona Effect in LLM Simulations ACL 2024 QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction ACL 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding ECCV 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback ACL 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation CoRL 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy NeurIPS 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024 Rapid Learning without Catastrophic Forgetting in the Morris Water Maze ICML 2024 Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese COLING 2024 RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024 Re3val: Reinforced and Reranked Generative Retrieval EACL 2024 Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities EACL 2024 READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024 Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark CVPR 2024 Real World Conversational Entity Linking Requires More Than Zero-Shots ACL 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024