565 citations · 905 across the 19 of their papers we have counts for
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cs.CV2023★ 7 cited
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky +1
We present Direct Reward Fine-Tuning (DRaFT), a simple and effective method for fine-tuning diffusion models to maximize differentiable reward functions, such as scores from human…
cs.LG2023★ 1 cited
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
Paul Vicol, Zico Kolter, Kevin Swersky
We propose an evolution strategies-based algorithm for estimating gradients in unrolled computation graphs, called ES-Single. Similarly to the recently-proposed Persistent Evolutio…