Revisiting Autoregressive Models for Generative Image Classification | ScienceToStartup | ScienceToStartup

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References (72)

[1]

Generative Classifiers Avoid Shortcut Solutions

2025Alexander C. Li, Ananya Kumar et al.

[2]

What matters for Representation Alignment: Global Information or Spatial Structure?

2025Jaskirat Singh, Xingjian Leng et al.

[3]

The Principles of Diffusion Models

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"A novel generative image classification approach that leverages any-order autoregressive models to achieve state-of-the-art performance with significantly improved efficiency."

Generative Image Classification•Score: 7•View PDF ↗

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Revisiting Autoregressive Models for Generative Image Classification

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References (72)

Founder's Pitch

"A novel generative image classification approach that leverages any-order autoregressive models to achieve state-of-the-art performance with significantly improved efficiency."

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Revisiting Autoregressive Models for Generative Image Classification

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Founder's Pitch

"A novel generative image classification approach that leverages any-order autoregressive models to achieve state-of-the-art performance with significantly improved efficiency."

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