Mitigating Transformer Overconfidence via Lipschitz Regularization

Mitigating Transformer Overconfidence via Lipschitz Regularization

12 June 2023

Wenqian Ye

Papers citing "Mitigating Transformer Overconfidence via Lipschitz Regularization"

14 / 14 papers shown

Title
LEREL: Lipschitz Continuity-Constrained Emotion Recognition Ensemble Learning For Electroencephalography Shengyu Gong Y. Li Zijian Kang Weiming Zeng Hongjie Yan W. Siok Nizhuan Wang 19 0 0 12 Apr 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 77 0 0 19 Mar 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 139 1 0 29 Jan 2025
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis Md. Saiful Islam Tariq Adnan Jan Freyberg Sangwu Lee Abdelrahman Abdelkader ... Cathe Schwartz Karen Jaffe Ruth B. Schneider E. R. Dorsey Ehsan Hoque 77 0 0 21 Jun 2024
MSNER: A Multilingual Speech Dataset for Named Entity Recognition Quentin Meeus Marie-Francine Moens Hugo Van hamme 25 0 0 19 May 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 41 251 0 21 Nov 2023
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles Can Cui Yunsheng Ma Xu Cao Wenqian Ye Ziran Wang 30 80 0 12 Oct 2023
ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection Yunsheng Ma Ziran Wang ViT 41 14 0 19 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 Oct 2021
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