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 Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives EMNLP 2024 A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents IJCAI 2024 A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond EACL 2024 A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets MLHC 2024 A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning IJCAI 2024 Active Generalized Category Discovery CVPR 2024 Active Learning Design Choices for NER with Transformers COLING 2024 Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization EMNLP 2024 Active Learning Framework for Incomplete Networks UAI 2024 Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations CVPR 2024 Active Prompt Learning in Vision Language Models CVPR 2024 Active Set Ordering NeurIPS 2024 Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ICLR 2024 Active Transfer Learning for Efficient Video-Specific Human Pose Estimation WACV 2024 AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies NeurIPS 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024 Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation CVPR 2024 Adapted Weighted Aggregation in Federated Learning AAAI 2024 Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser NAACL 2024 Adapting Large Language Models via Reading Comprehension ICLR 2024 Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters ACL 2024 Adapting Open-Source Generative Large Language Models for Low-Resource Languages: A Case Study for Turkish EMNLP 2024 Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training ACML 2024