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

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'25

Papers (including subtopics)

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom EMNLP 2025 Protecting Model Adaptation from Trojans in the Unlabeled Data AAAI 2025 Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench NAACL 2025 Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations CVPR 2025 Prototype antithesis for biological few-shot class-incremental learning ICLR 2025 Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval ICCV 2025 Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models NAACL 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models ICML 2025 Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025 Proxy Denoising for Source-Free Domain Adaptation ICLR 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration AAAI 2025 Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025 Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer ICLR 2025 PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction NAACL 2025 PVChat: Personalized Video Chat with One-Shot Learning ICCV 2025 PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification EMNLP 2025 PyBangla at BLP-2025 Task 2: Enhancing Bangla-to-Python Code Generation with Iterative Self-Correction and Multilingual Agents AACL 2025 Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval IJCNLP 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 QEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering EMNLP 2025 QM-AI at SemEval-2025 Task 6: an Ensemble of BERT Models for Promise Identification in ESG Context SemEval 2025 Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025