2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
Yunshan Zhong, You Huang, Jiawei Hu +2
Post-training quantization (PTQ) for vision transformers (ViTs) has received increasing attention from both academic and industrial communities due to its minimal data needs and hi…
cs.LG2024
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou +3
Transformers achieve state-of-the-art accuracy and robustness across many tasks, but an understanding of their inductive biases and how those biases differ from other neural networ…