mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,964 papers shown

Title
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 25 602 0 25 Apr 2019
Inner-Imaging Networks: Put Lenses into Convolutional Structure Yang Hu Guihua Wen Mingnan Luo Dan Dai Wenming Cao Zhiwen Yu Wendy Hall 17 2 0 22 Apr 2019
Stochastic Region Pooling: Make Attention More Expressive Mingnan Luo Guihua Wen Yang Hu Dan Dai Yingxue Xu 18 6 0 22 Apr 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 17 230 0 21 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 34 266 0 16 Apr 2019
Unsupervised Singing Voice Conversion Eliya Nachmani Lior Wolf 13 55 0 13 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution Yunpeng Chen Haoqi Fan Bing Xu Zhicheng Yan Yannis Kalantidis Marcus Rohrbach Shuicheng Yan Jiashi Feng 27 551 0 10 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 21 621 0 10 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 11 6 0 09 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 19 202 0 06 Apr 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 8 566 0 03 Apr 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets Maria Perez-Ortiz Peter Tiño Rafał K. Mantiuk C. Hervás‐Martínez 14 16 0 24 Mar 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 14 67 0 20 Mar 2019
Manifold Mixup improves text recognition with CTC loss Bastien Moysset Ronaldo O. Messina 11 3 0 11 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David Lopez-Paz 21 756 0 09 Mar 2019
On Adversarial Mixup Resynthesis Christopher Beckham S. Honari Vikas Verma Alex Lamb F. Ghadiri R. Devon Hjelm Yoshua Bengio C. Pal AAML 12 12 0 07 Mar 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya-Qin Zhang Ivor W. Tsang Jun-wei Sun NoLa 6 1 0 06 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia-Yu Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 13 46 0 04 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes D. Z. Chen MedIm 27 13 0 28 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 16 43 0 27 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 34 117 0 26 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 15 110 0 14 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks Zhi-Li Zhang Tong He Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li VLM ObjD 6 188 0 11 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation K. Chaitanya Neerav Karani Christian F. Baumgartner O. Donati Anton S. Becker E. Konukoglu MedIm 16 142 0 11 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 14 22 0 06 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity Yingzhen Yang Jiahui Yu Xingjian Li Jun Huan Thomas S. Huang AI4CE 11 5 0 03 Feb 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 25 72 0 27 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 18 347 0 27 Jan 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 17 600 0 22 Jan 2019
Differentially Private ADMM for Distributed Medical Machine Learning Jiahao Ding Xiaoqi Qin Wenjun Xu Yanmin Gong Zhu Han M. Pan FedML 16 20 0 07 Jan 2019
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features Yingxue Xu Guihua Wen Yang Hu Mingnan Luo Dan Dai Y. Zhuang MedIm 18 1 0 23 Dec 2018
DLOW: Domain Flow for Adaptation and Generalization R. Gong Wen Li Yuhua Chen Luc Van Gool OOD AI4CE 31 348 0 13 Dec 2018
Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data Tzu-Yu Liu A. Kannan Adam Drake Marvin Bertin Nathan Wan FedML OOD CML AI4CE 11 3 0 12 Dec 2018
Controlling Covariate Shift using Balanced Normalization of Weights Aaron Defazio Léon Bottou 11 0 0 11 Dec 2018
Detecting Adversarial Examples in Convolutional Neural Networks Stefanos Pertigkiozoglou Petros Maragos GAN AAML 12 16 0 08 Dec 2018
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 16 48 0 04 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 6 691 0 03 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 10 191 0 01 Dec 2018
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Rio Yokota Satoshi Matsuoka ODL 28 95 0 29 Nov 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 16 60 0 27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 16 118 0 26 Nov 2018
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging Marcel Lederle Benjamin Wilhelm 11 9 0 26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 17 326 0 22 Nov 2018
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks Qian Wang Ning Jia T. Breckon UQCV 6 10 0 20 Nov 2018
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 24 13 0 20 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 14 3 0 17 Nov 2018
AclNet: efficient end-to-end audio classification CNN Jonathan Huang Juan Jose Alvarado Leanos 8 50 0 16 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 14 1 0 14 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 19 9 0 12 Nov 2018