How Robust is Unsupervised Representation Learning to Distribution Shift?

17 June 2022

Papers citing "How Robust is Unsupervised Representation Learning to Distribution Shift?"

23 / 23 papers shown

Title
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 44 0 0 07 Apr 2025
Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation Yingjie Chen Jiarui Zhang Tao Wang Yun Liang 74 0 0 11 Mar 2025
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 35 1 0 04 Oct 2024
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 41 1 0 26 Jul 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Amartya Sanyal Yaxi Hu Yaodong Yu Yian Ma Yixin Wang Bernhard Schölkopf OODD 39 1 0 27 Jun 2024
The Role of Learning Algorithms in Collective Action Omri Ben-Dov Jake Fawkes Samira Samadi Amartya Sanyal 24 3 0 10 May 2024
On Pretraining Data Diversity for Self-Supervised Learning Hasan Hammoud Tuhin Das Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem 92 2 0 20 Mar 2024
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 44 6 0 05 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 25 2 0 29 Nov 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 19 22 0 28 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 24 0 0 19 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 28 0 0 10 Oct 2023
Unsupervised Camouflaged Object Segmentation as Domain Adaptation Yi Zhang Chengyi Wu 26 3 0 08 Aug 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 64 13 0 24 Jul 2023
Identifying and Disentangling Spurious Features in Pretrained Image Representations R. Darbinyan Hrayr Harutyunyan Aram H. Markosyan Hrant Khachatrian 26 2 0 22 Jun 2023
Continual Learning for Predictive Maintenance: Overview and Challenges J. Hurtado Dario Salvati Rudy Semola Mattia Bosio Vincenzo Lomonaco 14 31 0 29 Jan 2023
Unsupervised energy disaggregation via convolutional sparse coding Christian Aarset Andreas Habring M. Holler Mario Mitter 33 0 0 20 Jul 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 29 14 0 25 May 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 63 58 0 19 May 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 32 86 0 16 Jul 2021
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip H. S. Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 205 291 0 20 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020