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Self-Distillation: A New Way to Teach and Align AI Models | Andreas Krause (ETH Zürich)
Self-supervised representation learning
Lec 12. Representation Learning: Similarity-Based
Dissertation: Image Synthesis for Self-Supervised Representation Learning (4/18)
Self Supervised Learning through self distillation with no labels, and Why ViTs Need Registers
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning (Bootleg) | Genimi3.1
Self-supervised Representation Learning
What is Self Supervised Learning
How AI Taught Itself to See [DINOv3]
Deep Dive
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Last Updated: September 27, 2026
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Summary
Authors: Jang, Jiho; Yoo, KiYoon; Kim, Seonhoon; Kong, Chaerin; Kim, Jangho; Kwak, Nojun* Description: State-of-the-art ... Christian Lessig, Team lead for ML modelling at ECMWF, unpacks Part 2/2 of the lecture Topics Covered: - Authors: Chen, Wei-Chi; Chu, Wei-Ta* Description: With labeled data, Part 1/2 of the lecture Topics Covered: - Linus Ericsson, Henry Gouk, Chen Change Loy, and Timothy M. Hospedales. " This is my dissertation talk, recorded on April 2018. The talk outline is below: [0] 0:00 Introduction by my advisor, Alexei A. Efros [1] ... Papers: DINO: arxiv.org/abs/2104.14294 DINOv2: arxiv.org/abs/2304.07193 ViTs Need Registers: ... Presenter: Thanh Nguyen (Ph.D Student at U-AIM Lab) Abstract: By giving a simple example, this video attempts to explain what is How can we train a general-purpose vision model to perceive our visual world? This video dives into the fascinating idea of ...
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