Calibrating Transformers via Sparse Gaussian Processes

4 March 2023

Papers citing "Calibrating Transformers via Sparse Gaussian Processes"

8 / 8 papers shown

Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 116 6 0 28 Jan 2025
Input Dependent Sparse Gaussian Processes B. Jafrasteh Carlos Villacampa-Calvo Daniel Hernández-Lobato UQCV 15 5 0 15 Jul 2021
Bayesian Transformer Language Models for Speech Recognition Boyang Xue Jianwei Yu Junhao Xu Shansong Liu Shoukang Hu Zi Ye Mengzhe Geng Xunying Liu Helen Meng BDL 76 26 0 09 Feb 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 68 171 0 08 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015