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cs.LG2024
Evaluating Representations with Readout Model Switching
Yazhe Li, Jorg Bornschein, Marcus Hutter
Although much of the success of Deep Learning builds on learning good representations, a rigorous method to evaluate their quality is lacking. In this paper, we treat the evaluatio…
cs.LG2024
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen
In this paper, we explore a new generative approach for learning visual representations. Our method, DARL, employs a decoder-only Transformer to predict image patches autoregressiv…