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

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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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Papers (including subtopics)

Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks AAAI 2026 Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ACL 2026 Learning Intrinsic Hierarchy for Generalized Category Discovery AAAI 2026 Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation AAAI 2026 Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer AAAI 2026 Learning Procedural-Aware Video Representations Through State-Grounded Hierarchy Unfolding AAAI 2026 Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer AAAI 2026 Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026 Learning to Act Robustly with View-Invariant Latent Actions CVPR 2026 Learning to Animate Images from A Few Videos to Portray Delicate Human Actions WACV 2026 Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation AAAI 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026 Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026 Learning to Learn Weight Generation via Local Consistency Diffusion CVPR 2026 Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines CVPR 2026 Learning to Track Instance from Single Nature Language Description CVPR 2026 Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module AAAI 2026 Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data EACL 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition AAAI 2026 Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection AAAI 2026 LexMachina at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays SemEval 2026 Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification AAAI 2026 Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment CVPR 2026 Lifting Unlabeled Internet-level Data for 3D Scene Understanding CVPR 2026