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)

Regularizing Second-Order Influences for Continual Learning CVPR 2023 Rehearsal-free Continual Language Learning via Efficient Parameter Isolation ACL 2023 Reinforcement Learning from Passive Data via Latent Intentions ICML 2023 Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods Interspeech 2023 Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NeurIPS 2023 Relevance-assisted Generation for Robust Zero-shot Retrieval EMNLP 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NeurIPS 2023 Rephrasing the Reference for Non-autoregressive Machine Translation AAAI 2023 Repository-Level Prompt Generation for Large Language Models of Code ICML 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 Representation Learning for Low-rank General-sum Markov Games ICLR 2023 Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests NeurIPS 2023 Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NeurIPS 2023 Resources and Few-shot Learners for In-context Learning in Slavic Languages EACL 2023 Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone NeurIPS 2023 Rethinking and Improving Multi-task Learning for End-to-end Speech Translation EMNLP 2023 Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023 Rethinking Federated Learning With Domain Shift: A Prototype View CVPR 2023 Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation ICCV 2023 Retrieval-Augmented Domain Adaptation of Language Models ACL 2023 Retrieval-Enhanced Dual Encoder Training for Product Matching EMNLP 2023 Retrieving Multimodal Prompts for Generative Visual Question Answering ACL 2023