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20192026
most citedTraining Bayesian Neural Networks with Sparse Subspace Variational Inference

2 citations · 2 across the 9 of their papers we have counts for

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Showing 2024 · cs.CVShow all

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cs.CV2024

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Zichen Miao, Zhengyuan Yang, Kevin Lin +4

Recent advancements in timestep-distilled diffusion models have enabled high-quality image generation that rivals non-distilled multi-step models, but with significantly fewer infe…

cs.CV2024

Large Convolutional Model Tuning via Filter Subspace

Wei Chen, Zichen Miao, Qiang Qiu

Efficient fine-tuning methods are critical to address the high computational and parameter complexity while adapting large pre-trained models to downstream tasks. Our study is insp…