12 citations · 37 across the 8 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023★ 1 cited
Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search
Siao Tang, Xin Wang, Hong Chen +3
Diffusion models have recently shown remarkable generation ability, achieving state-of-the-art performance in many tasks. However, the high computational cost is still a troubling…
cs.CV2023★ 1 cited
Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
Siao Tang, Xin Wang, Hong Chen +4
High computational overhead is a troublesome problem for diffusion models. Recent studies have leveraged post-training quantization (PTQ) to compress diffusion models. However, mos…
cs.CV2021★ 5 cited
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen, Chaoyu Guan, Zhikun Wei +2
Meta-learning aims at learning quickly on novel tasks with limited data by transferring generic experience learned from previous tasks. Naturally, few-shot learning has been one of…