Title
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation Jiaming Liu Ran Xu Senqiao Yang Renrui Zhang Qizhe Zhang Zehui Chen Yandong Guo Shanghang Zhang TTA 35 10 0 19 Dec 2023
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection Jiaming Liu Rongyu Zhang Xiaoqi Li Xiaowei Chi Zehui Chen Ming Lu Yandong Guo Shanghang Zhang 3DPC 49 4 0 30 Nov 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 38 25 0 31 May 2022
Towards More Effective and Economic Sparsely-Activated Model Hao Jiang Ke Zhan Jianwei Qu Yongkang Wu Zhaoye Fei ... Enrui Hu Yinxia Zhang Yantao Jia Fan Yu Bo Zhao MoE 152 12 0 14 Oct 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang Ling Shao 128 1,454 0 04 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 241 509 0 15 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015