Packed-Ensembles for Efficient Uncertainty Estimation

17 October 2022

Papers citing "Packed-Ensembles for Efficient Uncertainty Estimation"

29 / 29 papers shown

Title
Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning Yifan Xie Fei Ma Yi Bin Ying He Fei Richard Yu 57 0 0 26 Apr 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 47 0 0 13 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 82 0 0 11 Mar 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting Adrien Lafage Mathieu Barbier Gianni Franchi David Filliat 34 3 0 08 Jan 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation Gianni Franchi Dat Nguyen Trong Nacim Belkhir Guoxuan Xia Andrea Pilzer UQLM 73 0 0 04 Dec 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning N. Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 47 1 0 31 Oct 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 85 6 0 31 Oct 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 33 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 44 0 0 05 Aug 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 46 1 0 26 Jul 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 22 1 0 23 May 2024
Information-driven Affordance Discovery for Efficient Robotic Manipulation Pietro Mazzaglia Taco Cohen Daniel Dijkman 35 2 0 06 May 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya S. Pershin Danis Alukaev UQCV EDL 34 0 0 16 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 45 5 0 25 Mar 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 15 4 0 23 Dec 2023
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness Anh-Quan Cao Angela Dai Raoul de Charette UQCV 13 19 0 04 Dec 2023
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 30 1 0 29 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 20 5 0 12 Oct 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 33 4 0 27 Sep 2023
Can Unstructured Pruning Reduce the Depth in Deep Neural Networks? Liao Zhu Victor Quétu Van-Tam Nguyen Enzo Tartaglione 30 12 0 12 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 50 12 0 14 Mar 2023
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 23 25 0 12 Jun 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 487 0 01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 268 10,214 0 16 Nov 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015