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mixup: Beyond Empirical Risk Minimization

International Conference on Learning Representations (ICLR), 2017

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Semi-Supervised NMF-CNN For Sound Event Detection T. K. Chan C. Chin Ye Li 164 19 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 410 620 0 01 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning Dongxian Wu Yisen Wang Zhuobin Zheng Shutao Xia NoLa 135 2 0 01 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 405 661 0 30 Jun 2020
Subject-Aware Contrastive Learning for Biosignals Joseph Y. Cheng Hanlin Goh Kaan Dogrusoz Oncel Tuzel Erdrin Azemi SSL 191 119 0 30 Jun 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 122 5 0 30 Jun 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi-An Ma Jitendra Malik VLM 158 55 0 30 Jun 2020
BitMix: Data Augmentation for Image Steganalysis In-Jae Yu Wonhyuk Ahn Seung-Hun Nam Heung-Kyu Lee 52 14 0 30 Jun 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 172 28 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 Basel Alomair Jacob Steinhardt Justin Gilmer OOD 925 2,072 0 29 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 271 23 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 163 127 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 79 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 96 38 0 25 Jun 2020
Neural Architecture Design for GPU-Efficient Networks Ming Lin Hesen Chen Xiuyu Sun Qi Qian Hao Li Rong Jin GNN 170 21 0 24 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Katharina Eggensperger MU 182 99 0 24 Jun 2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural NetworksKnowledge Discovery and Data Mining (KDD), 2020 Surgan Jandial Ayush Chopra Mausoom Sarkar Piyush B. Gupta Balaji Krishnamurthy V. Balasubramanian 94 5 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 141 63 0 23 Jun 2020
Realistic Adversarial Data Augmentation for MR Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 Chen Chen C. Qin Huaqi Qiu Cheng Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 155 100 0 23 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based BinningInternational Conference on Learning Representations (ICLR), 2020 Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 401 39 0 23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers Amir M. Rahimi Thomas Mensink Kartik Gupta Thalaiyasingam Ajanthan C. Sminchisescu Leonid Sigal 181 7 0 23 Jun 2020
Calibration of Neural Networks using SplinesInternational Conference on Learning Representations (ICLR), 2020 Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Leonid Sigal 210 120 0 23 Jun 2020
Unsupervised Sound Separation Using Mixture Invariant Training Scott Wisdom Efthymios Tzinis Hakan Erdogan Ron J. Weiss K. Wilson J. Hershey 213 27 0 23 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 360 228 0 22 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification Rahul Duggal Scott Freitas Sunny Dhamnani Duen Horng Chau Jimeng Sun 184 30 0 22 Jun 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation Yong Cheng Lu Jiang Wolfgang Macherey Jacob Eisenstein 334 124 0 21 Jun 2020
Sequential Feature Filtering Classifier Min-seok Seo Jaemin Lee Jongchan Park Dong-Geol Choi 94 3 0 21 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 107 45 0 20 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 395 646 0 18 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 195 56 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 317 618 0 18 Jun 2020
LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman 137 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 92 19 0 17 Jun 2020
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 128 65 0 17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance L. Smith A. Conovaloff SSL 159 8 0 16 Jun 2020
GradAug: A New Regularization Method for Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 Taojiannan Yang Sijie Zhu Chong Chen OOD 144 41 0 14 Jun 2020
Meta Approach to Data Augmentation OptimizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 138 40 0 14 Jun 2020
Global Convergence of Sobolev Training for Overparameterized Neural NetworksInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2020 Jorio Cocola Paul Hand 83 7 0 14 Jun 2020
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features Pu Li Xiangyang Li Xiang Long 140 21 0 14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy LabelsInternational Conference on Machine Learning (ICML), 2020 Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 142 56 0 14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 159 38 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 151 10 0 14 Jun 2020
Generalization by Recognizing Confusion Daniel Chiu Franklyn Wang S. Kominers NoLa 53 0 0 13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesNeural Information Processing Systems (NeurIPS), 2020 Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 158 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 456 273 0 12 Jun 2020
Towards Robust Pattern Recognition: A ReviewProceedings of the IEEE (Proc. IEEE), 2020 Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 189 125 0 12 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 170 0 0 11 Jun 2020
Hypernetwork-Based Augmentation Chih-Yang Chen Che-Han Chang 100 3 0 11 Jun 2020
Why Mixup Improves the Model PerformanceInternational Conference on Artificial Neural Networks (ICANN), 2020 Masanari Kimura 194 9 0 11 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 208 31 0 10 Jun 2020