Title
X-IL: Exploring the Design Space of Imitation Learning Policies Xiaogang Jia Atalay Donat Xi Huang Xuan Zhao Denis Blessing ... Han A. Wang Hanyi Zhang Qian Wang Rudolf Lioutikov Gerhard Neumann 153 1 0 20 Feb 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 278 13 0 31 Oct 2024
Probabilistic road classification in historical maps using synthetic data and deep learning Dominik J. Mühlematter Sebastian Schweizer Chenjing Jiao Xue Xia M. Heitzler L. Hurni 64 0 0 03 Oct 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network Tianyu Xiong Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen UQCV 127 2 0 26 Jul 2024
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation Jiho Choi Seonho Lee Seungho Lee Minhyun Lee Hyunjung Shim OCL 85 0 0 17 Jun 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 125 3 0 23 May 2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings R. Rikhye Aaron Loh G. Hong Preeti Singh M. A. Smith ... P. Bui Yuan Liu Yun-Hui Liu Justin M. Ko Steven Lin 41 1 0 23 Feb 2024
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation Rongyu Zhang Yulin Luo Jiaming Liu Huanrui Yang Zhen Dong ... Tomoyuki Okuno Yohei Nakata Kurt Keutzer Yuan Du Shanghang Zhang MoMe MoE 74 3 0 27 Dec 2023
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting Anthony Chen Huanrui Yang Yulu Gan Denis A. Gudovskiy Zhen Dong Haofan Wang Tomoyuki Okuno Yohei Nakata Kurt Keutzer Shanghang Zhang 67 3 0 14 Dec 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 72 16 0 01 Jun 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 87 36 0 11 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 147 14 0 01 Feb 2023
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 110 77 0 07 Sep 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 150 55 0 06 Oct 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 290 452 0 17 Jun 2020