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)

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving NeurIPS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 Metadata Enhancement Using Large Language Models ACL 2024 Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta Evidential Transformer for Few-Shot Open-Set Recognition ICML 2024 Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning NeurIPS 2024 MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic EMNLP 2024 MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation IJCAI 2024 MetaKP: On-Demand Keyphrase Generation EMNLP 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Meta-Learning Priors Using Unrolled Proximal Networks ICLR 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 Metalearning with Very Few Samples Per Task COLT 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024 MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning ICLR 2024 Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models ACL 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Meta-Task Prompting Elicits Embeddings from Large Language Models ACL 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024