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)

A Report on the FigLang 2024 Shared Task on Multimodal Figurative Language NAACL 2024 ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024 Are Self-Attentions Effective for Time Series Forecasting? NeurIPS 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection ACL 2024 A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation IJCAI 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration EMNLP 2024 AssameseBackTranslit: Back Transliteration of Romanized Assamese Social Media Text COLING 2024 Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data ACL 2024 Assessing Pre-Built Speaker Recognition Models for Endangered Language Data COLING 2024 Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024 Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods EACL 2024 A Streamlined Span-based Factorization Method for Few Shot Named Entity Recognition COLING 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NeurIPS 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 A Survey on In-context Learning EMNLP 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NeurIPS 2024 Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval AAAI 2024 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification IJCAI 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NeurIPS 2024 Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024