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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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)

Language Model Beats Diffusion - Tokenizer is key to visual generation ICLR 2024 Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch ICML 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining COLING 2024 LANID: LLM-assisted New Intent Discovery COLING 2024 Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024 Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning EMNLP 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation EMNLP 2024 Large Language Models as Analogical Reasoners ICLR 2024 Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency COLING 2024 Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024 Large Language Models as Zero-shot Dialogue State Tracker through Function Calling ACL 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Large Language Models for Mathematical Reasoning: Progresses and Challenges EACL 2024 Large Language Models Provide Human-Level Medical Text Snippet Labeling NAACL 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition EACL 2024 Large Scale Transfer Learning for Tabular Data via Language Modeling NeurIPS 2024 LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning EMNLP 2024 Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video ICLR 2024 Latent Learningscape Guided In-context Learning ACL 2024 LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024 LaViP: Language-Grounded Visual Prompting AAAI 2024 Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024