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)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024 The ELCo Dataset: Bridging Emoji and Lexical Composition COLING 2024 The Expressive Power of Low-Rank Adaptation ICLR 2024 The Extraction and Fine-grained Classification of Written Cantonese Materials through Linguistic Feature Detection COLING 2024 The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL 2024 The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment COLING 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract) AAAI 2024 The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure NeurIPS 2024 The MOLOR Lemma Bank: a New LLOD Resource for Old Irish COLING 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 The Power of Extrapolation in Federated Learning NeurIPS 2024 The Program Testing Ability of Large Language Models for Code EMNLP 2024 The reasonable effectiveness of speaker embeddings for violence detection Interspeech 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence IJCAI 2024 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024 The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task EMNLP 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 The UNLP 2024 Shared Task on Fine-Tuning Large Language Models for Ukrainian COLING 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024