Contrastive learning is one of the dominant paradigms for Self-supervised learning.
Contrastive learning
Links to this note
- Knowledge Base Index
- Notes on: Gecko: Versatile Text Embeddings Distilled from Large Language Models by Jinhyuk Lee, et al. (2024)
- Notes on: Perception Encoder: The best visual embeddings are not at the output of the network by Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer (2025)
- Notes on: V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning by Lorenzo Mur-Labadia, Matthew Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes (2026)
- Self-supervised learning
Last changed | authored by Hugo Cisneros
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