mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

38 / 4,988 papers shown

Title
Hydranet: Data Augmentation for Regression Neural Networks Florian Dubost Gerda Bortsova H. Adams M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 21 9 0 12 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 21 70 0 11 Jul 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding Yutai Hou Yijia Liu Wanxiang Che Ting Liu 25 151 0 04 Jul 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 57 1,397 0 22 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 22 34 0 13 Jun 2018
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization Haimin Zhang Min Xu 19 0 0 11 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 2018
Monge blunts Bayes: Hardness Results for Adversarial Training Zac Cranko A. Menon Richard Nock Cheng Soon Ong Zhan Shi Christian J. Walder AAML 31 17 0 08 Jun 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching S. Tulyakov A. Ivanov François Fleuret 3DV 18 126 0 05 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 21 192 0 30 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 35 159 0 29 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 63 1,758 0 24 May 2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction Hongyuan Mei Sheng Zhang Kevin Duh Benjamin Van Durme 24 2 0 21 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 25 30 0 21 May 2018
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network Kele Xu Dawei Feng Haibo Mi Boqing Zhu Dezhi Wang Lilun Zhang Hengxing Cai S. Liu 19 92 0 18 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 27 8 0 16 May 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students Chenglin Yang Lingxi Xie Siyuan Qiao Alan Yuille 35 135 0 15 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 32 119 0 10 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 25 230 0 15 Apr 2018
Convolutional Neural Networks Regularized by Correlated Noise Shamak Dutta B. Tripp Graham W. Taylor 19 6 0 03 Apr 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification Yan Wang Lingxi Xie Siyuan Qiao Ya Zhang Wenjun Zhang Alan Yuille 16 13 0 03 Apr 2018
Parallel Grid Pooling for Data Augmentation Akito Takeki Daiki Ikami Go Irie Kiyoharu Aizawa 16 7 0 30 Mar 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 39 704 0 30 Mar 2018
Adversarial Logit Pairing Harini Kannan Alexey Kurakin Ian Goodfellow AAML 36 625 0 16 Mar 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 24 20 0 26 Feb 2018
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints Di Tang Xiaofeng Wang Kehuan Zhang AAML 33 1 0 13 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 21 162 0 07 Feb 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 26 1 0 22 Jan 2018
A3T: Adversarially Augmented Adversarial Training Akram Erraqabi A. Baratin Yoshua Bengio Simon Lacoste-Julien AAML 38 9 0 12 Jan 2018
Data Augmentation by Pairing Samples for Images Classification H. Inoue 28 420 0 09 Jan 2018
Gradient Regularization Improves Accuracy of Discriminative Models D. Varga Adrián Csiszárik Zsolt Zombori 18 53 0 28 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li-Jia Li Li Fei-Fei NoLa 50 1,441 0 14 Dec 2017
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation Hieu M. Le T. F. Y. Vicente Vu Nguyen Minh Hoai Dimitris Samaras 26 114 0 04 Dec 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases Pierre Stock Moustapha Cissé FaML 39 46 0 30 Nov 2017
Between-class Learning for Image Classification Yuji Tokozume Yoshitaka Ushiku Tatsuya Harada SSL 22 205 0 28 Nov 2017
Gradually Updated Neural Networks for Large-Scale Image Recognition Siyuan Qiao Zhishuai Zhang Wei Shen Bo Wang Alan Yuille 22 16 0 25 Nov 2017