mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,988 papers shown

Title
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 40 9 0 12 Feb 2024
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound Yinyu Ye Shijing Chen Dong Ni Ruobing Huang 38 0 0 12 Feb 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 26 29 0 10 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 35 0 0 10 Feb 2024
Domain Adaptation Using Pseudo Labels S. Chhabra Hemanth Venkateswara Baoxin Li 27 1 0 09 Feb 2024
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation Fengyi Shen Li Zhou Kagan Kucukaytekin Ziyuan Liu He Wang Alois C. Knoll DiffM 31 2 0 09 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng Vardan Papyan AAML UQCV 49 5 0 09 Feb 2024
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu Donghao Li Hanlin Gu Yuxing Han Yuan Yao Lixin Fan 47 2 0 09 Feb 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 32 1 0 08 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu P. Beerel AAML 22 0 0 08 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 34 0 0 08 Feb 2024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Taehyeon Kim Donggyu Kim SeYoung Yun 24 1 0 08 Feb 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning Darshana Saravanan Naresh Manwani Vineet Gandhi 31 0 0 07 Feb 2024
Improved Generalization of Weight Space Networks via Augmentations Aviv Shamsian Aviv Navon David W. Zhang Yan Zhang Ethan Fetaya Gal Chechik Haggai Maron 31 12 0 06 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 47 13 0 06 Feb 2024
BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning Mohammad Majid Akhtar Navid Shadman Bhuiyan Rahat Masood Muhammad Ikram S. Kanhere AAML SSL 29 0 0 06 Feb 2024
SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification Nishchal Sapkota Yejia Zhang Sirui Li Peixian Liang Zhuo Zhao Jingjing Zhang Xiaomin Zha Yiru Zhou Yunxia Cao Danny Z Chen 28 1 0 06 Feb 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants Abdoulaye Sakho Emmanuel Malherbe Erwan Scornet 30 2 0 06 Feb 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks Yanbo Wang Jian Liang Ran He AAML 22 5 0 05 Feb 2024
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation Amin Parchami-Araghi Moritz Bohle Sukrut Rao Bernt Schiele FAtt 20 3 0 05 Feb 2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image H. A. Amirkolaee Miaojing Shi Lianghua He Mark Mulligan 31 1 0 05 Feb 2024
A Survey on Transformer Compression Yehui Tang Yunhe Wang Jianyuan Guo Zhijun Tu Kai Han Hailin Hu Dacheng Tao 43 30 0 05 Feb 2024
NOAH: Learning Pairwise Object Category Attentions for Image Classification Chao Li Aojun Zhou Anbang Yao VLM 38 2 0 04 Feb 2024
Calibration and Correctness of Language Models for Code Claudio Spiess David Gros Kunal Suresh Pai Michael Pradel Md Rafiqul Islam Rabin Amin Alipour Susmit Jha Prem Devanbu Toufique Ahmed 68 19 0 03 Feb 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation Zihan Li Yuan Zheng Dandan Shan Shuzhou Yang Qingde Li Beizhan Wang Yuan-ting Zhang Qingqi Hong Dinggang Shen ViT MedIm 43 39 0 03 Feb 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach Michael J. Livanos Ian Davidson Stephen Wong 29 0 0 02 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 40 3 0 02 Feb 2024
Spectrally Transformed Kernel Regression Runtian Zhai Rattana Pukdee Roger Jin Maria-Florina Balcan Pradeep Ravikumar BDL 30 2 0 01 Feb 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Zecheng Hao Xinyu Shi Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang 31 4 0 01 Feb 2024
Multilinear Operator Networks Yixin Cheng Grigorios G. Chrysos Markos Georgopoulos V. Cevher 37 7 0 31 Jan 2024
Source-free Domain Adaptive Object Detection in Remote Sensing Images Weixing Liu Jun Liu X. Su Han Nie Bin Luo 43 8 0 31 Jan 2024
All Beings Are Equal in Open Set Recognition Chaohua Li Enhao Zhang Chuanxing Geng Songcan Chen 35 1 0 31 Jan 2024
Game-Theoretic Unlearnable Example Generator Shuang Liu Yihan Wang Xiao-Shan Gao AAML 32 8 0 31 Jan 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 38 1 0 30 Jan 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 38 0 0 29 Jan 2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design Seokju Yun Youngmin Ro ViT 46 29 0 29 Jan 2024
Generating Multi-Center Classifier via Conditional Gaussian Distribution Zhemin Zhang Xun Gong 31 0 0 29 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 54 24 0 27 Jan 2024
Do deep neural networks utilize the weight space efficiently? Onur Can Koyun B. U. Toreyin 24 0 0 26 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 41 6 0 26 Jan 2024
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening Hoyong Kim Semi Lee Kangil Kim CLL 37 2 0 26 Jan 2024
Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface Aina Wang Pan Qin Xi-Ming Sun PINN AI4CE 26 0 0 26 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation Hyeonwoo Cho Chanmin Park Donghee Kim Jinyoung Kim Won Hwa Kim TTA 35 0 0 26 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 38 54 0 25 Jan 2024
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation Yumnah Hasan Allan de Lima Fatemeh Amerehi Darian Reyes Fernández de Bulnes Patrick Healy Conor Ryan 27 2 0 25 Jan 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Aaqib Saeed Dimitris Spathis Jungwoo Oh Edward Choi Ali Etemad NoLa 31 2 0 25 Jan 2024
Rethinking Patch Dependence for Masked Autoencoders Letian Fu Long Lian Renhao Wang Baifeng Shi Xudong Wang Adam Yala Trevor Darrell Alexei A. Efros Ken Goldberg 39 14 0 25 Jan 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 33 3 0 24 Jan 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN Minsoo Kang Minkoo Kang Suhyun Kim 25 3 0 24 Jan 2024
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels Qinglai Wei Lei Feng Haobo Wang Bo An NoLa 32 2 0 24 Jan 2024