Training independent subnetworks for robust prediction

13 October 2020

Balaji Lakshminarayanan

Papers citing "Training independent subnetworks for robust prediction"

50 / 61 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
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 82 0 0 19 Mar 2025
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 97 2 0 27 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 94 6 0 31 Oct 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 64 0 0 05 Aug 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 53 5 0 25 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 52 10 0 05 Mar 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 56 14 0 22 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks Tim Whitaker Darrell Whitley 33 0 0 16 Jan 2024
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition Nicolas Menet Michael Hersche G. Karunaratne Luca Benini Abu Sebastian Abbas Rahimi 38 13 0 05 Dec 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 23 4 0 09 Nov 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 38 4 0 27 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach KB Vimal Saketh Bachu Tanmay Garg Niveditha Lakshmi Narasimhan Raghavan Konuru Vineeth N. Balasubramanian 42 2 0 05 Sep 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 26 0 0 01 Aug 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 51 112 0 22 May 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models Vishvak Murahari Ameet Deshpande Carlos E. Jimenez Izhak Shafran Mingqiu Wang Yuan Cao Karthik R. Narasimhan MoE 26 5 0 24 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 38 5 0 13 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 78 2 0 18 Nov 2022
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 29 15 0 18 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer J. Engelmann Leon Hetzel Giovanni Palla L. Sikkema Malte D. Luecken Fabian J. Theis 27 3 0 07 Nov 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 29 25 0 18 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 44 32 0 17 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Limin Chen TTA 27 1 0 17 Oct 2022
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling Haw-Shiuan Chang Ruei-Yao Sun Kathryn Ricci Andrew McCallum 43 14 0 10 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 56 34 0 19 Sep 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 31 2 0 30 Aug 2022
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation Litao Yang Deval Mehta Dwarikanath Mahapatra Zongyuan Ge 16 1 0 17 Aug 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 36 18 0 24 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 30 28 0 30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 33 34 0 29 Jun 2022
Transfer learning for ensembles: reducing computation time and keeping the diversity Ilya Shashkov Nikita Balabin Evgeny Burnaev Alexey Zaytsev 22 1 0 27 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 46 27 0 17 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 19 3 0 01 Jun 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model Sosuke Kobayashi Shun Kiyono Jun Suzuki Kentaro Inui MoMe 29 7 0 24 May 2022
Towards efficient feature sharing in MIMO architectures Rémy Sun Alexandre Ramé Clément Masson Nicolas Thome Matthieu Cord 78 6 0 20 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 26 3 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang EDL 37 219 0 25 Apr 2022
Deep Relation Learning for Regression and Its Application to Brain Age Estimation Sheng He Yanfang Feng P. E. Grant Yangming Ou 3DH 38 30 0 13 Apr 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark Gales UQCV 22 11 0 15 Mar 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 44 60 0 14 Feb 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 36 7 0 28 Jan 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 19 7 0 26 Jan 2022
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications J. Rock Tiago Azevedo R. D. Jong Daniel Ruiz-Munoz Partha P. Maji UQCV 35 5 0 11 Nov 2021
Diversity Matters When Learning From Ensembles G. Nam Jongmin Yoon Yoonho Lee Juho Lee UQCV FedML VLM 43 36 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021