mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Training Strategies for Isolated Sign Language Recognition Karina Kvanchiani Roman Kraynov Elizaveta Petrova Petr Surovcev Aleksandr Nagaev A. Kapitanov 76 1 0 16 Dec 2024
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 79 2 0 15 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 69 0 0 15 Dec 2024
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone Mustafa Munir Md Mostafijur Rahman R. Marculescu MedIm ViT 74 0 0 14 Dec 2024
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval Haoyu Jiang Zhi-Qi Cheng Gabriel Moreira Jiawen Zhu Jingdong Sun Bukun Ren Jun-Yan He Qi Dai Xian-Sheng Hua VLM 90 0 0 14 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 170 1 0 14 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 75 0 0 13 Dec 2024
Optimized Gradient Clipping for Noisy Label Learning Xichen Ye Yifan Wu Weizhong Zhang Xiaoqiang Li Yifan Chen Cheng Jin NoLa 82 0 0 12 Dec 2024
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 137 2 0 09 Dec 2024
Bridging the Divide: Reconsidering Softmax and Linear Attention Dongchen Han Yifan Pu Zhuofan Xia Yizeng Han Xuran Pan Xiu Li Jiwen Lu Shiji Song Gao Huang 73 8 0 09 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation Junha Lee Sojung An Sujeong You Namik Cho 73 0 0 08 Dec 2024
Slicing Vision Transformer for Flexible Inference Yitian Zhang Huseyin Coskun Xu Ma Huan Wang Ke Ma Xi Chen Derek Hao Hu Y. Fu ViT 76 0 0 06 Dec 2024
Reinforcement Learning from Wild Animal Videos Elliot Chane-Sane Constant Roux O. Stasse Nicolas Mansard 173 0 0 05 Dec 2024
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification Zhu Han Ce Zhang Lianru Gao Zhiqiang Zeng Michael K. Ng Bing Zhang J. Chanussot 96 4 0 05 Dec 2024
DEIM: DETR with Improved Matching for Fast Convergence Shihua Huang Zhichao Lu Xiaodong Cun Yongjun Yu Xiao Zhou Xi Shen VLM 183 2 0 05 Dec 2024
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification Ruimin Peng Zhenbang Du Changming Zhao Jingwei Luo Wenzhong Liu Xinxing Chen Dongrui Wu MedIm 87 8 0 04 Dec 2024
Semi-Supervised Transfer Boosting (SS-TrBoosting) Lingfei Deng Changming Zhao Zhenbang Du Kun Xia Dongrui Wu TPM 94 2 0 04 Dec 2024
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing Khawar Islam M. Zaheer Arif Mahmood Karthik Nandakumar Naveed Akhtar DiffM 80 2 0 03 Dec 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu Yuanyuan Hong Yihua Chen He Wang Moriaki Yasuhara 63 0 0 03 Dec 2024
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans Xueyang Li Han Xiao Weixiang Weng Xiaowei Xu Yiyu Shi 73 0 0 02 Dec 2024
MeasureNet: Measurement Based Celiac Disease Identification Aayush Kumar Tyagi Vaibhav Mishra Ashok Tiwari Lalita Mehra Prasenjit Das G. Makharia Prathosh AP Mausam 80 0 0 02 Dec 2024
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation Trung-Hieu Hoang D. Vo Minh N. Do TTA AAML 94 0 0 02 Dec 2024
Token Cropr: Faster ViTs for Quite a Few Tasks Benjamin Bergner C. Lippert Aravindh Mahendran ViT VLM 69 0 0 01 Dec 2024
BGM: Background Mixup for X-ray Prohibited Items Detection W. Liu R. Tao Hongguang Zhu Yunda Sun Yao Zhao Y. X. Wei 63 0 0 30 Nov 2024
Robust Testing for Deep Learning using Human Label Noise Gordon Lim Stefan Larson Kevin Leach NoLa 65 0 0 29 Nov 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 75 0 0 29 Nov 2024
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation S. Ly Hien Nguyen 77 1 0 28 Nov 2024
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving Dacheng Liao Mengshi Qi Liang Liu Huadong Ma 67 0 0 28 Nov 2024
Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models Weiqiu You Youngja Park 66 0 0 27 Nov 2024
Semantic Data Augmentation for Long-tailed Facial Expression Recognition Z. Li Yan Wang Bowen Guan JianKai Yin CVBM 94 1 0 26 Nov 2024
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models Peng Cui Guande He Dan Zhang Zhijie Deng Yinpeng Dong Jun Zhu 82 0 0 26 Nov 2024
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction Yuan Zhou Qingshan Xu Jiequan Cui Junbao Zhou Jing Zhang Richang Hong H. Zhang ViT 75 0 0 25 Nov 2024
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network Haoyang He J. Zhang Yuxuan Cai Hongxu Chen Xiaobin Hu Zhenye Gan Y. Wang Chengjie Wang Yunsheng Wu Lei Xie Mamba 88 3 0 24 Nov 2024
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Sanghyeok Lee Joonmyung Choi Hyunwoo J. Kim 110 3 0 22 Nov 2024
Learning Fair Robustness via Domain Mixup Meiyu Zhong Ravi Tandon OOD 72 0 0 21 Nov 2024
Regional Attention for Shadow Removal Hengxing Liu Mingjia Li Xiaojie Guo 72 1 0 21 Nov 2024
Schemato -- An LLM for Netlist-to-Schematic Conversion Ryoga Matsuo Stefan Uhlich Arun Venkitaraman Andrea Bonetti Chia-Yu Hsieh Ali Momeni Lukas Mauch Augusto Capone Eisaku Ohbuchi Lorenzo Servadei 71 0 0 21 Nov 2024
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation Christoph Reinders Radu Berdan Beril Besbinar Junji Otsuka Daisuke Iso 81 2 0 20 Nov 2024
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 82 1 0 19 Nov 2024
Auto-Evaluation with Few Labels through Post-hoc Regression Benjamin Eyre David Madras 75 1 0 19 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 175 1 0 19 Nov 2024
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 33 0 0 16 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Frank Hutter OOD 36 4 0 15 Nov 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers Alexander C. Li Yuandong Tian B. Chen Deepak Pathak Xinlei Chen 43 0 0 14 Nov 2024
Breaking the Low-Rank Dilemma of Linear Attention Qihang Fan Huaibo Huang Ran He 42 1 0 12 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang C. L. P. Chen Bill Lin 42 1 0 11 Nov 2024
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Bowen Zhang Shanghang Zhang 26 1 0 11 Nov 2024
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation Xiaowei Yu Zhe Huang Zao Zhang ViT 26 1 0 10 Nov 2024
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Fang Kang Feiran Yang Wenwu Wang Mark D. Plumbley J. Yang 31 0 0 10 Nov 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation Anil Kag Huseyin Coskun Jierun Chen Junli Cao Willi Menapace Aliaksandr Siarohin Sergey Tulyakov Jian Ren 51 3 0 07 Nov 2024