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20212023
most citedEfficient Knowledge Distillation from Model Checkpoints

8 citations · 21 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models

Jiayi Guo, Xingqian Xu, Yifan Pu +6

Recently, diffusion models have made remarkable progress in text-to-image (T2I) generation, synthesizing images with high fidelity and diverse contents. Despite this advancement, l…

cs.AI2023★ 5 cited

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation

Shenzhi Wang, Chang Liu, Zilong Zheng +7

Recent breakthroughs in large language models (LLMs) have brought remarkable success in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information proc…

cs.CV2023

Computation-efficient Deep Learning for Computer Vision: A Survey

Yulin Wang, Yizeng Han, Chaofei Wang +3

Over the past decade, deep learning models have exhibited considerable advancements, reaching or even exceeding human-level performance in a range of visual perception tasks. This…

cs.CV2023

Latency-aware Unified Dynamic Networks for Efficient Image Recognition

Yizeng Han, Zeyu Liu, Zhihang Yuan +4

Dynamic computation has emerged as a promising avenue to enhance the inference efficiency of deep networks. It allows selective activation of computational units, leading to a redu…

cs.CV2023★ 2 cited

Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

Jiayi Guo, Chaofei Wang, You Wu +6

Recently, CLIP-guided image synthesis has shown appealing performance on adapting a pre-trained source-domain generator to an unseen target domain. It does not require any target-d…