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2024 ICML ICML 2024

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

❓ The Questioner

Authors

Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel

Topics

Machine Learning > Core Methods > Representation Learning Deep Learning > Techniques > Pretraining Artificial Intelligence > Core AI > Computer Vision

Keywords

pre-trained model linear probing gaussian mixture synthetic benchmark robustness-accuracy trade-off task-agnostic evaluation
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