SelecMix: Debiased Learning by Contradicting-pair Sampling

4 November 2022

Papers citing "SelecMix: Debiased Learning by Contradicting-pair Sampling"

8 / 8 papers shown

Title
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet Kodai Hirata Tsuyoshi Okita ViT 43 0 0 09 May 2025
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair Jeonghoon Park Chaeyeon Chung Juyoung Lee Jaegul Choo 40 2 0 30 Apr 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 28 5 0 13 Sep 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts Jiaxuan Li D. Vo Hideki Nakayama 26 3 0 19 Aug 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 392 49 0 06 Oct 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018