SANVis: Visual Analytics for Understanding Self-Attention Networks

13 September 2019

Papers citing "SANVis: Visual Analytics for Understanding Self-Attention Networks"

9 / 9 papers shown

Title
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Huaizhi Ge Yiming Li Qifan Wang Yongfeng Zhang Ruixiang Tang AAML SILM 81 0 0 19 Nov 2024
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis Shashank Kotyan Tatsuya Ueda Danilo Vasconcellos Vargas 27 1 0 07 Dec 2023
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 20 23 0 24 Mar 2023
Visual Comparison of Language Model Adaptation R. Sevastjanova E. Cakmak Shauli Ravfogel Ryan Cotterell Mennatallah El-Assady VLM 41 16 0 17 Aug 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph Han Shi Jiahui Gao Hang Xu Xiaodan Liang Zhenguo Li Lingpeng Kong Stephen M. S. Lee James T. Kwok 22 71 0 17 Feb 2022
SparseBERT: Rethinking the Importance Analysis in Self-attention Han Shi Jiahui Gao Xiaozhe Ren Hang Xu Xiaodan Liang Zhenguo Li James T. Kwok 21 54 0 25 Feb 2021
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models Joseph F DeRose Jiayao Wang M. Berger 17 83 0 03 Sep 2020
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 259 1,896 0 10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015