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)
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
CVPR 2024
Transferable Boltzmann Generators
NeurIPS 2024
Transferable Video Moment Localization by Moment-Guided Query Prompting
AAAI 2024
TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling
EMNLP 2024
Transfer Fine-tuning for Quality Estimation of Text Simplification
COLING 2024
Transfer Learning for Diffusion Models
NeurIPS 2024
Transfer Learning for Latent Variable Network Models
NeurIPS 2024
Transfer Learning for Russian Legal Text Simplification
COLING 2024
Transfer learning for tensor Gaussian graphical models
JMLR 2024
Transfer Learning for Text Classification via Model Risk Analysis
EMNLP 2024
Transfer Learning from Whisper for Microscopic Intelligibility Prediction
Interspeech 2024
Transfer Learning of Argument Mining in Student Essays
NAACL 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
JMLR 2024
Transfer Q-star : Principled Decoding for LLM Alignment
NeurIPS 2024
Transferring BERT Capabilities from High-Resource to Low-Resource Languages Using Vocabulary Matching
COLING 2024
Transferring Learning Trajectories of Neural Networks
ICLR 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
EMNLP 2024
Transformer-based Swedish Semantic Role Labeling through Transfer Learning
COLING 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
NeurIPS 2024
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
NeurIPS 2024
Transformer verbatim in-context retrieval across time and scale
CoNLL 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
CoRL 2024
Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models
EACL 2024
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning
EACL 2024