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06/20/2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Denoising diffusion models are a powerful type of generative models used...
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05/02/2023
Generalizing Dataset Distillation via Deep Generative Prior
Dataset Distillation aims to distill an entire dataset's knowledge into ...
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03/22/2022
Dataset Distillation by Matching Training Trajectories
Dataset distillation is the task of synthesizing a small dataset such th...
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05/28/2021
MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation
While attention-based transformer networks achieve unparalleled success ...
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05/28/2021
On the Bias Against Inductive Biases
Borrowing from the transformer models that revolutionized the field of n...
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11/29/2020
