Repulsive Attention: Rethinking Multi-head Attention as Bayesian
Inference

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

20 September 2020

Bang An

Papers citing "Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference"

7 / 7 papers shown

Title
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 189 22 0 20 Oct 2022
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition Kartik Audhkhasi Yinghui Huang Bhuvana Ramabhadran Pedro J. Moreno 24 3 0 13 Sep 2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers Arda Sahiner Tolga Ergen Batu Mehmet Ozturkler John M. Pauly Morteza Mardani Mert Pilanci 40 33 0 17 May 2022
Dynamic Inference with Neural Interpreters Nasim Rahaman Muhammad Waleed Gondal S. Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf 39 31 0 12 Oct 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 34 9 0 08 Oct 2021
Code Structure Guided Transformer for Source Code Summarization Shuzheng Gao Cuiyun Gao Yulan He Jichuan Zeng L. Nie Xin Xia Michael R. Lyu 22 96 0 19 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018