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2202.04414
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Agree to Disagree: Diversity through Disagreement for Better Transferability
International Conference on Learning Representations (ICLR), 2022
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"
37 / 37 papers shown
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Amir Zamir
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Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
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19 Jun 2023
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Saurabh Garg
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Source-free Domain Adaptation Requires Penalized Diversity
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Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Alexandre See
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213
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Improving Domain Generalization with Domain Relations
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Huaxiu Yao
Xinyu Yang
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Shengchao Liu
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Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
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01 Feb 2023
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Neural Information Processing Systems (NeurIPS), 2022
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
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28 Nov 2022
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
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Ivan Stresec
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Tim Postuvan
143
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On Feature Learning in the Presence of Spurious Correlations
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Pavel Izmailov
Polina Kirichenko
Nate Gruver
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281
169
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20 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
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James Zou
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465
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ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
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286
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Feature Space Particle Inference for Neural Network Ensembles
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Rei Kawakami
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Alexandre Ramé
Matthieu Kirchmeyer
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A. Rakotomamonjy
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567
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Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
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Polina Kirichenko
Pavel Izmailov
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426
423
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Diversify and Disambiguate: Learning From Underspecified Data
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Huaxiu Yao
Chelsea Finn
476
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General Greedy De-bias Learning
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Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
480
18
0
20 Dec 2021
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