Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup

26 May 2023

Papers citing "Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup"

6 / 6 papers shown

Title
Rethinking Fair Graph Neural Networks from Re-balancing Zhixun Li Yushun Dong Qiang Liu Jeffrey Xu Yu 16 7 0 16 Jul 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 65 0 0 03 Jun 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian Harsh Rangwani S. Takemori Kunal Samanta Yuhei Umeda Venkatesh Babu Radhakrishnan 22 0 0 27 Mar 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lió 28 10 0 11 Oct 2023
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 62 77 0 25 Feb 2021