Machine Learning with a Honk
Massimiliano ViolaWeekly insights into machine learning research, focusing on computer vision and generative models.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 61 | Founded | a year ago | Last Issue | 11 days ago |
| Active | |||||
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61. CVPR 2026 Recap
A conference a mile high
At the beginning of the month, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (aka CVPR) 2026 took place in Denver, Colorado. With the convention center standing literally a mile high (yes, 16...
60. Sapiens and Sapiens2
Introduction
Image foundation models learn powerful features from massive datasets with the goal of maximizing performance on a wide range of tasks. But when it comes to human-centric vision applications, such as fine-grained body part s...
59. From AM-RADIO to C-RADIOv4
Introduction
Over the last five years, industry research in computer vision has produced a wide variety of foundation models. Powerful, general, and trained on large datasets, they have historically dominated certain tasks but consistent...
58. Utonia
Introduction
In a previous post (#46), we covered Sonata [2] and Concerto [3], two strong 3D point cloud encoders trained with self-supervised learning.
Sonata is essentially DINO for 3D: a student sees local and masked crops of a point...
57. TIPS and TIPSv2
Introduction
Throughout our deep dives into major pretraining paradigms for vision encoders, we have repeatedly identified a tradeoff between dense feature quality (e.g., DINO) and alignment with text (e.g., CLIP) for downstream applicat...
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Authors
The writers behind this newsletter.
Perception & Safety at Bedrock Robotics. Previously at Cerrion (YC S22), Stanford, and ETH Zurich.
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