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

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024 LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports NAACL 2024 LLaMA Pro: Progressive LLaMA with Block Expansion ACL 2024 LLM Augmented LLMs: Expanding Capabilities through Composition ICLR 2024 LLM-based MT Data Creation: Dialectal to MSA Translation Shared Task COLING 2024 LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024 LLM-based Skill Diffusion for Zero-shot Policy Adaptation NeurIPS 2024 LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection NAACL 2024 LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024 LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NeurIPS 2024 LLM Questionnaire Completion for Automatic Psychiatric Assessment EMNLP 2024 LLMs Are Few-Shot In-Context Low-Resource Language Learners NAACL 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024 LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024 LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024 LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition ACL 2024 LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement ECCV 2024 Local Curvature Smoothing with Stein's Identity for Efficient Score Matching NeurIPS 2024 Locally Differentially Private In-Context Learning COLING 2024 Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NeurIPS 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection AAAI 2024 Longformer: Longitudinal Transformer for Alzheimer's Disease Classification With Structural MRIs WACV 2024 Looped Transformers are Better at Learning Learning Algorithms ICLR 2024