C-Mixup: Improving Generalization in Regression

C-Mixup: Improving Generalization in Regression

11 October 2022

Papers citing "C-Mixup: Improving Generalization in Regression"

15 / 15 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 33 6 0 21 May 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 23 1 0 29 Dec 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 25 6 0 05 Jun 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 37 8 0 06 Feb 2023
Rank-N-Contrast: Learning Continuous Representations for Regression Kaiwen Zha Peng Cao Jeany Son Yuzhe Yang Dina Katabi CML 57 37 0 03 Oct 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 51 18 0 21 Mar 2022
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
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 176 0 05 Feb 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 104 115 0 21 Oct 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 204 402 0 12 Mar 2020
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 215 898 0 02 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 639 0 19 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015