mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,996 papers shown

Title
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 43 103 0 23 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 50 130 0 23 Feb 2021
MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture Wancong Zhang Ieshan Vaidya 11 10 0 22 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 25 92 0 22 Feb 2021
Conditional Positional Encodings for Vision Transformers Xiangxiang Chu Zhi Tian Bo Zhang Xinlong Wang Chunhua Shen ViT 36 606 0 22 Feb 2021
Improving Uncertainty Calibration via Prior Augmented Data Jeffrey Willette Juho Lee Sung Ju Hwang UQCV 29 0 0 22 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 30 127 0 20 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 42 56 0 19 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 42 261 0 18 Feb 2021
Image Compositing for Segmentation of Surgical Tools without Manual Annotations Luis C. Garcia-Peraza-Herrera Lucas Fidon Claudia DrEttorre Danail Stoyanov Tom Vercauteren Sebastien Ourselin 20 40 0 18 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 22 96 0 18 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 73 476 0 18 Feb 2021
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks Ben Bodner G. B. Shalom Eran Treister MQ 27 2 0 18 Feb 2021
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection William Scott Paka Rachit Bansal Abhay Kaushik Shubhashis Sengupta Tanmoy Chakraborty FedML GNN 43 117 0 17 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 92 41 0 17 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 230 431 0 17 Feb 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation Elizabeth Fons Paula Dawson Xiao-Jun Zeng J. Keane Alexandros Iosifidis AI4TS 28 23 0 16 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 212 298 0 16 Feb 2021
Comparison of semi-supervised deep learning algorithms for audio classification Léo Cances Etienne Labbé Thomas Pellegrini 30 18 0 16 Feb 2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training Chen Zhu Renkun Ni Zheng Xu Kezhi Kong Wenjie Huang Tom Goldstein ODL 48 55 0 16 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training Vasu Singla Sahil Singla David Jacobs Soheil Feizi AAML 43 45 0 15 Feb 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 42 10 0 15 Feb 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision Boyang Liu Mengying Sun Ding Wang P. Tan Jiayu Zhou 25 5 0 12 Feb 2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain Xingchen Zhao Anthony Sicilia D. Minhas Erin O'Connor H. Aizenstein W. Klunk D. Tudorascu Seong Jae Hwang OOD 46 13 0 12 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 79 64 0 12 Feb 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning J. Ó. Neill Danushka Bollegala 39 6 0 12 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 36 67 0 11 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 226 513 0 11 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 54 148 0 11 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 45 8 0 09 Feb 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 57 72 0 09 Feb 2021
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels Jintai Chen Hongyun Yu Ruiwei Feng Danny Chen Jian Wu 18 13 0 09 Feb 2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning Ze-kun Li Wei Zhao F. Shi Lei Qi Xingzhi Xie ... Yang Gao Shangjie Wu Jun Liu Yinghuan Shi Dinggang Shen 47 58 0 07 Feb 2021
Deep Semi-Supervised Learning for Time Series Classification Jann Goschenhofer Rasmus Hvingelby David Rügamer Janek Thomas Moritz Wagner B. Bischl AI4TS 25 12 0 06 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 23 26 0 06 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision Wonjae Kim Bokyung Son Ildoo Kim VLM CLIP 77 1,719 0 05 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 207 179 0 05 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts Zhiqiang Tang Yunhe Gao Yi Zhu Zhi-Li Zhang Mu Li Dimitris N. Metaxas OOD 30 52 0 04 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 150 75 0 03 Feb 2021
Symmetric Sparse Boolean Matrix Factorization and Applications Sitan Chen Zhao Song Runzhou Tao Ruizhe Zhang 58 5 0 02 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 86 481 0 02 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification Peng Yao Shuwei Shen Mengjuan Xu Peng Liu Fan Zhang Jinyu Xing Pengfei Shao B. Kaffenberger Ronald X. Xu 32 117 0 02 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 131 144 0 02 Feb 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition Ming Lin Pichao Wang Zhenhong Sun Hesen Chen Xiuyu Sun Qi Qian Hao Li Rong Jin 30 106 0 01 Feb 2021
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement Zhenqi Fu Xueyang Fu Yue Huang Xinghao Ding 25 30 0 01 Feb 2021
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification Yuan Wu Diana Inkpen Ahmed El-Roby 14 12 0 31 Jan 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 86 196 0 31 Jan 2021
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation Jiawei Zhang Yanchun Zhang Xiaowei Xu 14 30 0 30 Jan 2021
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization Xiaofei Li 20 1 0 30 Jan 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 55 1,913 0 28 Jan 2021