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

'10

'15

'20

'25

Papers (including subtopics)

Matching receptor to odorant with protein language and graph neural networks ICLR 2023 Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task ACL 2023 Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam ICLR 2023 MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation NeurIPS 2023 Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ACL 2023 Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models ACL 2023 MEERQAT-IRIT at SemEval-2023 Task 2: Leveraging Contextualized Tag Descriptors for Multilingual Named Entity Recognition SemEval 2023 MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models CVPR 2023 Memory-Based Meta-Learning on Non-Stationary Distributions ICML 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models EMNLP 2023 Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NeurIPS 2023 MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023 Meta-Adapter: An Online Few-shot Learner for Vision-Language Model NeurIPS 2023 MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning NeurIPS 2023 Meta Compositional Referring Expression Segmentation CVPR 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions Interspeech 2023 Meta-forests: Domain generalization on random forests with meta-learning ACML 2023 MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection CVPR 2023 MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning ICLR 2023 Meta-in-context learning in large language models NeurIPS 2023 Meta Knowledge Condensation for Federated Learning ICLR 2023 Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction ICLR 2023