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

24

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

'5

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Papers (including subtopics)

Test-Time Adaptation with Binary Feedback ICML 2025 Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation CVPR 2025 Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models WACV 2025 Test-Time Visual In-Context Tuning CVPR 2025 Text2Outfit: Controllable Outfit Generation with Multimodal Language Models ICCV 2025 Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025 Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition AAAI 2025 TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning AAAI 2025 TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation WACV 2025 TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025 ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai IJCNLP 2025 Thapar Titan/s : Fine-Tuning Pretrained Language Models with Contextual Augmentation for Mistake Identification in Tutor–Student Dialogues ACL 2025 The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification IJCNLP 2025 The Bandit Whisperer: Communication Learning for Restless Bandits AAAI 2025 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond JMLR 2025 The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation CVPR 2025 The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation EMNLP 2025 The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech EMNLP 2025 The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 The Impact of Language Mixing on Bilingual LLM Reasoning EMNLP 2025 The Learning Dynamics of Subword Segmentation for Morphologically Diverse Languages IJCNLP 2025 The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research ACL 2025 Theorem Prover as a Judge for Synthetic Data Generation ACL 2025 The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025