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)

Learning Sequential Acquisition Policies for Robot-Assisted Feeding CoRL 2023 Learning Subpocket Prototypes for Generalizable Structure-based Drug Design ICML 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning ICML 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Learning to Break Symmetries for Efficient Optimization in Answer Set Programming AAAI 2023 Learning to Compose Soft Prompts for Compositional Zero-Shot Learning ICLR 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 Learning to Decompose Visual Features with Latent Textual Prompts ICLR 2023 Learning to Describe for Predicting Zero-shot Drug-Drug Interactions EMNLP 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023 Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023 Learning to Predict Task Transferability via Soft Prompt EMNLP 2023 Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset EMNLP 2023 Learning to reason over visual objects ICLR 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 Learning to Select Pivotal Samples for Meta Re-weighting AAAI 2023 Learning Uncertainty for Unknown Domains with Zero-Target-Assumption ICLR 2023 Learning Unseen Modality Interaction NeurIPS 2023 Learning Video Representations From Large Language Models CVPR 2023 Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions CVPR 2023 Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection ACL 2023