1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
Yi Liao, Yongsheng Gao, Weichuan Zhang
In this paper, we present a Neuron Abandoning Attention Flow (NAFlow) method to address the open problem of visually explaining the attention evolution dynamics inside CNNs when ma…
cs.CL2024★ 1 cited
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
Nan He, Weichen Xiong, Hanwen Liu +6
The effectiveness of large language models (LLMs) is often hindered by duplicated data in their extensive pre-training datasets. Current approaches primarily focus on detecting and…