mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation K. Chaitanya Neerav Karani Christian F. Baumgartner Ertunc Erdil Anton S. Becker O. Donati E. Konukoglu MedIm 30 92 0 09 Jul 2020
Maximum Entropy Regularization and Chinese Text Recognition Changxu Cheng Wuheng Xu X. Bai Bin Feng Wenyu Liu 22 4 0 09 Jul 2020
Capturing scattered discriminative information using a deep architecture in acoustic scene classification Hye-jin Shim Jee-weon Jung Ju-ho Kim Ha-Jin Yu 23 3 0 09 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 32 26 0 08 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 41 232 0 08 Jul 2020
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior Masanari Kimura Ryohei Izawa 20 1 0 08 Jul 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 38 1 0 08 Jul 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Yan Liu Lingqiao Liu Peng Wang Pingping Zhang Yinjie Lei SSL 25 75 0 07 Jul 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation Yuan Wu Diana Inkpen Ahmed El-Roby 12 167 0 07 Jul 2020
Acoustic Scene Classification with Spectrogram Processing Strategies Helin Wang Yuexian Zou Dading Chong 24 13 0 06 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis Hamid Eghbalzadeh Khaled Koutini Paul Primus Verena Haunschmid Michal Lewandowski Werner Zellinger Bernhard A. Moser Gerhard Widmer AAML 25 9 0 06 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 24 26 0 05 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 24 505 0 05 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 28 1,118 0 02 Jul 2020
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization? Yaniv Blumenfeld D. Gilboa Daniel Soudry ODL 32 13 0 02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design Dongyoon Han Sangdoo Yun Byeongho Heo Y. Yoo 3DV 22 83 0 02 Jul 2020
Polyphonic sound event detection based on convolutional recurrent neural networks with semi-supervised loss function for DCASE challenge 2020 task 4 Nam Kyun Kim Hyeongju Kim 14 3 0 02 Jul 2020
Semi-Supervised NMF-CNN For Sound Event Detection T. K. Chan C. Chin Ye Li 28 18 0 02 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 53 537 0 01 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning Dongxian Wu Yisen Wang Zhuobin Zheng Shutao Xia NoLa 16 2 0 01 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 36 557 0 30 Jun 2020
Subject-Aware Contrastive Learning for Biosignals Joseph Y. Cheng Hanlin Goh Kaan Dogrusoz Oncel Tuzel Erdrin Azemi SSL 24 110 0 30 Jun 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 19 5 0 30 Jun 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi Ma Jitendra Malik VLM 37 54 0 30 Jun 2020
BitMix: Data Augmentation for Image Steganalysis In-Jae Yu Wonhyuk Ahn Seung-Hun Nam Heung-Kyu Lee 22 13 0 30 Jun 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 40 25 0 29 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 148 1,685 0 29 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 33 22 0 28 Jun 2020
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman AI4TS 28 109 0 27 Jun 2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer Qian Li Qingyuan Hu Yong Qi Saiyu Qi Jie Ma Jian Zhang 17 15 0 27 Jun 2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng I. Laradji Ismail Ben Ayed David Vazquez M. Pedersoli 19 36 0 25 Jun 2020
Neural Architecture Design for GPU-Efficient Networks Ming Lin Hesen Chen Xiuyu Sun Qi Qian Hao Li Rong Jin GNN 34 20 0 24 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 14 90 0 24 Jun 2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks Surgan Jandial Ayush Chopra Mausoom Sarkar Piyush B. Gupta Balaji Krishnamurthy V. Balasubramanian 20 4 0 24 Jun 2020
Rethinking Distributional Matching Based Domain Adaptation Yue Liu Yezhen Wang Tong Che Shanghang Zhang Sicheng Zhao Pengfei Xu Wei Zhou Yoshua Bengio Kurt Keutzer OOD 27 59 0 23 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation Chen Chen C. Qin Huaqi Qiu Cheng Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 31 83 0 23 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 27 34 0 23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers Amir M. Rahimi Thomas Mensink Kartik Gupta Thalaiyasingam Ajanthan C. Sminchisescu Richard I. Hartley 28 5 0 23 Jun 2020
Calibration of Neural Networks using Splines Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Richard I. Hartley 31 106 0 23 Jun 2020
Unsupervised Sound Separation Using Mixture Invariant Training Scott Wisdom Efthymios Tzinis Hakan Erdogan Ron J. Weiss K. Wilson J. Hershey 16 27 0 23 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 27 178 0 22 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification Rahul Duggal Scott Freitas Sunny Dhamnani Duen Horng Chau Jimeng Sun 42 30 0 22 Jun 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation Yong Cheng Lu Jiang Wolfgang Macherey Jacob Eisenstein 42 115 0 21 Jun 2020
Sequential Feature Filtering Classifier Min-seok Seo Jaemin Lee Jongchan Park Dong-Geol Choi 34 3 0 21 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 21 40 0 20 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 59 601 0 18 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 27 48 0 18 Jun 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 30 550 0 18 Jun 2020
LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman 19 24 0 17 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 23 18 0 17 Jun 2020