mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Patch Stitching Data Augmentation for Cancer Classification in Pathology Images Jiamu Wang Chang-Su Kim Jin Tae Kwak MedIm 37 1 0 22 Feb 2025
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning Yongqi Dong Xingmin Lu Ruohan Li Wei Song B. Arem Haneen Farah ViT 113 1 0 21 Feb 2025
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection Yuming Chen Xinbin Yuan Ruiqi Wu Jiabao Wang Qibin Hou Mingg-Ming Cheng Ming-Ming Cheng ObjD 161 51 0 21 Feb 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 89 3 0 21 Feb 2025
Myna: Masking-Based Contrastive Learning of Musical Representations Ori Yonay Tracy Hammond Tianbao Yang AAML 61 0 0 20 Feb 2025
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 56 0 0 20 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 64 1 0 20 Feb 2025
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization Xiliang Yang Shenyang Deng Shicong Liu Yuanchi Suo Wing.W.Y NG Jianjun Zhang 40 0 0 15 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification A. Chaddad Yihang Wu Yuchen Jiang Ahmed Bouridane Christian Desrosiers 71 2 0 15 Feb 2025
Measuring Diversity in Synthetic Datasets Yuchang Zhu Huizhe Zhang Bingzhe Wu Jintang Li Zibin Zheng Peilin Zhao Liang Chen Yatao Bian 100 0 0 12 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 74 3 0 12 Feb 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 104 18 0 11 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 101 0 0 11 Feb 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 53 0 0 10 Feb 2025
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 54 0 0 05 Feb 2025
Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression Donghe Chen Jiaxuan Yue Tengjie Zheng Lanxuan Wang Lin Cheng UQCV 100 1 0 04 Feb 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 47 0 0 03 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis Jiaxing Xu Yongqiang Chen Xia Dong Mengcheng Lan Tiancheng Huang Qingtian Bian James Cheng Yiping Ke OOD 68 1 0 02 Feb 2025
Machine Learning Fairness for Depression Detection using EEG Data Angus Man Ho Kwok Jiaee Cheong Sinan Kalkan Hatice Gunes 51 0 0 30 Jan 2025
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hu Hu Sabato Marco Siniscalchi Chao-Han Huck Yang Chin-Hui Lee 85 0 0 28 Jan 2025
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Sunny Gupta Vinay Sutar Varunav Singh Amit Sethi 49 0 0 28 Jan 2025
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs Leyao Wang Yu-Chiang Frank Wang Bo Ni Yuying Zhao Tyler Derr 56 0 0 28 Jan 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving Mengshi Qi Xiaoyang Bi Pengfei Zhu Huadong Ma 55 0 0 25 Jan 2025
LiCAR: pseudo-RGB LiDAR image for CAR segmentation Ignacio de Loyola Páez-Ubieta Edison P. Velasco-Sánchez S. T. Puente 37 0 0 21 Jan 2025
IOR: Inversed Objects Replay for Incremental Object Detection Zijia An Boyu Diao Libo Huang Ruiqi Liu Zhulin An Yongjun Xu 47 0 0 20 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 61 0 0 17 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning Parinita Nema V. Kurmi CLL 61 0 0 17 Jan 2025
Self-supervised Transformation Learning for Equivariant Representations Jaemyung Yu Jaehyun Choi Dong-Jae Lee H. Hong Junmo Kim 49 0 0 15 Jan 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis Eui-Soo Jung Hae-Hun Seo Hyun-Woo Jung Je-Geon Oh Yoon-Yeong Kim OODD 61 0 0 11 Jan 2025
Deep Reversible Consistency Learning for Cross-modal Retrieval Ruitao Pu Yang Qin Dezhong Peng Xiaomin Song Huiming Zheng 46 1 0 10 Jan 2025
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao Xiawu Zheng G. Wang Weijiang Yu Yunhang Shen Ke Li Yutong Lu Yonghong Tian CLL 54 5 0 09 Jan 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 54 0 0 08 Jan 2025
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition Bowen Hao Dongliang Zhou Xiaojie Li Xingyu Zhang Liang Xie Jianlong Wu Erwei Yin 42 1 0 08 Jan 2025
Powerful Design of Small Vision Transformer on CIFAR10 Gent Wu ViT 47 0 0 07 Jan 2025
Normalizing Batch Normalization for Long-Tailed Recognition Yuxiang Bao Guoliang Kang Linlin Yang Xiaoyue Duan Bo Zhao Baochang Zhang MQ 57 0 0 06 Jan 2025
AFed: Algorithmic Fair Federated Learning Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 39 0 0 06 Jan 2025
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation Yuji Naraki Ryosuke Yamaki Yoshikazu Ikeda Takafumi Horie Kotaro Yoshida Ryotaro Shimizu Hiroki Naganuma 68 0 0 03 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Dingkang Yang Hao Tang Bo-wen Li Wenqiang Zhang AAML 45 0 0 03 Jan 2025
Keypoint Aware Masked Image Modelling Madhava Krishna Convin.AI 75 0 0 03 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 40 0 0 03 Jan 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations Yang Yuxiang Zeng Xinyi Zeng Pinxian Zu Chen Yan Binyu Zhou Jiliu Wang Yan 50 0 0 02 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 52 2 0 31 Dec 2024
Length-Aware DETR for Robust Moment Retrieval S. Park Jiho Choi Kyungjune Baek Hyunjung Shim 41 0 0 31 Dec 2024
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation Shubh Singhal Raül Pérez-Gonzalo Andreas Espersen Antonio Agudo 44 0 0 31 Dec 2024
A Bias-Free Training Paradigm for More General AI-generated Image Detection Fabrizio Guillaro Giada Zingarini Ben Usman Avneesh Sud D. Cozzolino L. Verdoliva DiffM 76 4 0 23 Dec 2024
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 80 0 0 22 Dec 2024
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Yiqin Luo Tianlong Gu 88 0 0 21 Dec 2024
Cross-View Consistency Regularisation for Knowledge Distillation W. Zhang Dongnan Liu Weidong Cai Chao Ma 75 2 0 21 Dec 2024
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy Shaoyan Pan Yikang Liu Lin Zhao Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun VGen MedIm 90 0 0 20 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition Minseok Son Inyong Koo Jinyoung Park Changick Kim 89 0 0 20 Dec 2024