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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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)

MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning EMNLP 2024 MMA: Multi-Modal Adapter for Vision-Language Models CVPR 2024 MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning ICLR 2024 MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NeurIPS 2024 MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning CVPR 2024 MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling EMNLP 2024 MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors CVPR 2024 MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024 Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NeurIPS 2024 MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion EMNLP 2024 MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024 Mode Estimation with Partial Feedback COLT 2024 Model Adaptation for Time Constrained Embodied Control CVPR 2024 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Modeling Nonnative Sentence Processing with L2 Language Models EMNLP 2024 Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024 Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024 MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NeurIPS 2024 Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision CVPR 2024 Momentum Benefits Non-iid Federated Learning Simply and Provably ICLR 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca EACL 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces COLING 2024