Leaderboards/Domain Adaptation and Few-Shot Learning

Domain Adaptation and Few-Shot Learning

Last updated July 7, 2026

Rising Stars

New and hot

Emerging Leaders

Gaining momentum

Emerging Leaders Papers

1
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision|2022
2.7k cit.
2
Video Swin Transformer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.9k cit.
3
Conditional Prompt Learning for Vision-Language Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.5k cit.
4
SimMIM: a Simple Framework for Masked Image Modeling
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
1.1k cit.
5
Scaling Vision Transformers
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
786 cit.
7
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision|2024
422 cit.
8
LiT: Zero-Shot Transfer with Locked-image text Tuning
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
352 cit.
10
MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
251 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Papers

1
222.1k cit.
2
Long Short-Term Memory
Neural Computation|1997
98.1k cit.
5
Going deeper with convolutions
Unknown Journal|2015
46.8k cit.
6
Visualizing Data using t-SNE
Journal of Machine Learning Research|2008
35.7k cit.
8
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 IEEE/CVF International Conference on Computer Vision (ICCV)|2021
30.1k cit.
9
A Survey on Transfer Learning
IEEE Transactions on Knowledge and Data Engineering|2009
23.2k cit.

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