Agree to Disagree: Diversity through Disagreement for Better Transferability

9 February 2022

Matteo Pagliardini

Martin Jaggi

Franccois Fleuret

Sai Praneeth Karimireddy

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Papers citing "Agree to Disagree: Diversity through Disagreement for Better Transferability"

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Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 194 1 0 04 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 2025
Sub-Sequential Physics-Informed Learning with State Space Model Chenhui Xu Dancheng Liu Yuting Hu Jiajie Li Ruiyang Qin Qingxiao Zheng Jinjun Xiong AI4CE PINN 212 0 0 01 Feb 2025
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 35 1 0 08 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 38 0 0 04 Sep 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 52 3 0 29 May 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 48 1 0 07 Feb 2024
Learning Diverse Features in Vision Transformers for Improved Generalization A. Nicolicioiu Andrei Liviu Nicolicioiu B. Alexe Damien Teney 33 3 0 30 Aug 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 22 5 0 19 Jun 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 58 66 0 10 May 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 25 2 0 08 Apr 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 35 9 0 10 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 57 8 0 06 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 43 13 0 01 Feb 2023
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 38 118 0 20 Oct 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 38 29 0 06 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 51 318 0 06 Apr 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 215 64 0 07 Feb 2022
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 907 0 02 Mar 2020
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 287 9,156 0 06 Jun 2015
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 791 0 19 Feb 2009