mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup Seungeun Oh Jihong Park Eunjeong Jeong Hyesung Kim M. Bennis Seong-Lyun Kim FedML 12 57 0 17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance L. Smith A. Conovaloff SSL 22 8 0 16 Jun 2020
GradAug: A New Regularization Method for Deep Neural Networks Taojiannan Yang Sijie Zhu Chong Chen OOD 31 36 0 14 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 32 34 0 14 Jun 2020
Global Convergence of Sobolev Training for Overparameterized Neural Networks Jorio Cocola Paul Hand 16 6 0 14 Jun 2020
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features Pu Li Xiangyang Li Xiang Long 19 20 0 14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 24 53 0 14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 39 31 0 14 Jun 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 33 10 0 14 Jun 2020
Generalization by Recognizing Confusion Daniel Chiu Franklyn Wang S. Kominers NoLa 16 0 0 13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 22 8 0 13 Jun 2020
The DeepFake Detection Challenge (DFDC) Dataset Brian Dolhansky Joanna Bitton Ben Pflaum Jikuo Lu Russ Howes Menglin Wang Cristian Canton Ferrer PICV 14 242 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 22 0 0 11 Jun 2020
Hypernetwork-Based Augmentation Chih-Yang Chen Che-Han Chang 22 3 0 11 Jun 2020
Why Mixup Improves the Model Performance Masanari Kimura 6 9 0 11 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 33 29 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 27 109 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 25 116 0 09 Jun 2020
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data Zhen Zhao Bingyu Liu Yuhong Guo Jieping Ye 11 0 0 08 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 36 18 0 06 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 30 12 0 05 Jun 2020
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments Balagopal Unnikrishnan Pranshu Ranjan Singh Xulei Yang M. Chua 6 4 0 04 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 24 137 0 04 Jun 2020
Interpolation-based semi-supervised learning for object detection Jisoo Jeong Vikas Verma Minsung Hyun Arno Solin Nojun Kwak 47 73 0 03 Jun 2020
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining Xiaoliang Dai Alvin Wan Peizhao Zhang Bichen Wu Zijian He ... Kan Chen Yuandong Tian Matthew Yu Peter Vajda Joseph E. Gonzalez 23 72 0 03 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 28 224 0 02 Jun 2020
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements Xiaoyi Chen A. Salem Dingfan Chen Michael Backes Shiqing Ma Qingni Shen Zhonghai Wu Yang Zhang SILM 32 228 0 01 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters Lucas Deecke Timothy M. Hospedales Hakan Bilen 24 8 0 01 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 79 655 0 01 Jun 2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods Mizuho Nishio Shunjiro Noguchi Hidetoshi Matsuo T. Murakami 9 129 0 01 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning Song-Bo Yang Tian-li Yu 27 3 0 31 May 2020
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification Hangting Chen Zuozhen Liu Zongming Liu Pengyuan Zhang 25 8 0 27 May 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang Hao Cai Jun Zhou Minglun Gong 37 20 0 25 May 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 31 36 0 22 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 25 22 0 21 May 2020
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Hui-Po Wang Tribhuvanesh Orekondy Mario Fritz 8 25 0 20 May 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition S. Latif R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller 46 28 0 18 May 2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition S. Latif Muhammad Asim R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller GAN 22 27 0 18 May 2020
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Xin Xia Xuefeng Xiao Xing Wang Min Zheng 27 18 0 15 May 2020
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario Ivan Medennikov M. Korenevsky Tatiana Prisyach Yuri Y. Khokhlov Mariya Korenevskaya ... Anton Mitrofanov A. Andrusenko Ivan Podluzhny A. Laptev A. Romanenko 13 196 0 14 May 2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning Han Cha Jihong Park Hyesung Kim M. Bennis Seong-Lyun Kim 14 26 0 13 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 38 7 0 12 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 43 493 0 10 May 2020
Reinforcement Learning with Feedback Graphs Christoph Dann Yishay Mansour M. Mohri Ayush Sekhari Karthik Sridharan 21 9 0 07 May 2020
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery Hiroshi Sasaki Chris G. Willcocks T. Breckon 33 1 0 05 May 2020
Selecting Data Augmentation for Simulating Interventions Maximilian Ilse Jakub M. Tomczak Patrick Forré OOD CML 29 18 0 04 May 2020
Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification Deepta Rajan Jayaraman J. Thiagarajan Alexandros Karargyris Satyananda Kashyap 18 5 0 03 May 2020