RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness

29 June 2022

Ser-Nam Lim

Papers citing "RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness"

31 / 31 papers shown

Title
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data Fei Zhu Zhaoxiang Zhang OODD UQCV 55 0 0 20 Apr 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 43 0 0 28 Feb 2025
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models Mingzhi Chen Yiyu Gui Yuqi Su Yuesheng Zhu Guibo Luo Yuchao Yang DiffM MedIm 21 0 0 20 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 25 1 0 08 Jul 2024
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation Haoyue Bai Le Wu Min Hou Miaomiao Cai Zhuangzhuang He Yuyang Zhou Richang Hong Meng Wang 37 9 0 28 Apr 2024
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound Yinyu Ye Shijing Chen Dong Ni Ruobing Huang 25 0 0 12 Feb 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 77 2 0 23 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 19 1 0 04 Oct 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 64 11 0 24 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
Enhancing Visual Domain Adaptation with Source Preparation Anirudh Ramesh Anurag Ghosh Christoph Mertz J. Schneider 10 1 0 16 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 14 5 0 02 Jun 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 17 6 0 26 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 11 2 0 17 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Y. Zou 65 54 0 01 May 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 32 0 30 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 35 2 0 26 Mar 2023
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond Thanh Vu Baochen Sun Bodi Yuan Alex Ngai Yueqi Li Jan-Michael Frahm 15 0 0 18 Mar 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 21 11 0 02 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 16 26 0 21 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 18 68 0 09 Dec 2022
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles Zhi Lv Bo Lin Siyuan Liang Lihua Wang Mochen Yu Yao Tang Jiajun Liang 18 0 0 26 Oct 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip H. S. Torr P. Dokania Ser-Nam Lim OODD 13 4 0 24 Sep 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 14 1 0 23 Sep 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 14 30 0 13 Jul 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 48 17 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 205 246 0 20 Apr 2021
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 66 30 0 02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015