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

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12

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14

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29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark ACL 2025 Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency COLING 2025 Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions ACL 2025 AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels EMNLP 2025 AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs NAACL 2025 AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks AAAI 2025 AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration CVPR 2025 Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025 A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter AAAI 2025 A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering EMNLP 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025 Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning ICLR 2025 Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025 Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning IJCAI 2025 BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition COLING 2025 BanHate: An Up-to-Date and Fine-Grained Bangla Hate Speech Dataset AACL 2025 BAREC Shared Task 2025 on Arabic Readability Assessment EMNLP 2025 BATCLIP: Bimodal Online Test-Time Adaptation for CLIP ICCV 2025 Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025 BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025 Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments ICML 2025 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models SemEval 2025