mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs Khaled Koutini Shreyan Chowdhury Verena Haunschmid Hamid Eghbalzadeh Gerhard Widmer 27 18 0 28 Oct 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 33 22 0 28 Oct 2019
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers Eduardo Fonseca F. Font Xavier Serra NoLa 36 9 0 26 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 28 61 0 25 Oct 2019
Superposition as Data Augmentation using LSTM and HMM in Small Training Sets Akilesh Sivaswamy Evgeny Nikolaevich Pavlovskiy 9 0 0 24 Oct 2019
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning Tarin Clanuwat Alex Lamb A. Kitamoto 16 45 0 21 Oct 2019
Automatic Data Augmentation by Learning the Deterministic Policy Yinghuan Shi Tiexin Qin Yong Liu Jiwen Lu Yang Gao Dinggang Shen 31 4 0 18 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 25 34 0 16 Oct 2019
Acoustic Scene Classification Based on a Large-margin Factorized CNN Janghoon Cho Sungrack Yun Hyoungwoo Park Jungyun Eum Kyuwoong Hwang 23 13 0 14 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 25 61 0 14 Oct 2019
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation Yundong Zhang Hang Wu Huiye Liu L. Tong May D. Wang OOD 26 10 0 12 Oct 2019
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation Luca Mazzon Yuma Koizumi Masahiro Yasuda Noboru Harada 11 44 0 10 Oct 2019
Spoken Language Identification using ConvNets Sarthak Shikhar Shukla Govind Mittal 14 27 0 09 Oct 2019
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge D. Rukhovich Danil Galeev TTA 24 13 0 09 Oct 2019
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Yang Liu Hongyi Guo NoLa 9 235 0 08 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 35 182 0 05 Oct 2019
Information based Deep Clustering: An experimental study Jizong Peng Christian Desrosiers M. Pedersoli 27 1 0 03 Oct 2019
Partial differential equation regularization for supervised machine learning Jillian R. Fisher 32 2 0 03 Oct 2019
Distilling Effective Supervision from Severe Label Noise Zizhao Zhang Han Zhang Sercan O. Arik Honglak Lee Tomas Pfister NoLa 14 2 0 01 Oct 2019
Automated design of error-resilient and hardware-efficient deep neural networks Christoph Schorn T. Elsken Sebastian Vogel Armin Runge A. Guntoro G. Ascheid AAML 17 32 0 30 Sep 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 135 3,425 0 30 Sep 2019
Machine Truth Serum Tianyi Luo Yang Liu FedML FaML 9 8 0 28 Sep 2019
Urban Sound Tagging using Convolutional Neural Networks Sainath Adapa 14 38 0 27 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network Taiji Suzuki Hiroshi Abe Tomoaki Nishimura AI4CE 28 43 0 25 Sep 2019
Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng David Vazquez Ismail Ben Ayed M. Pedersoli 14 10 0 21 Sep 2019
DARTS+: Improved Differentiable Architecture Search with Early Stopping Hanwen Liang Shifeng Zhang Jiacheng Sun Xingqiu He Weiran Huang Kechen Zhuang Zhenguo Li 28 287 0 13 Sep 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency Kacper Sokol Raúl Santos-Rodríguez Peter A. Flach 22 37 0 11 Sep 2019
L_DMI: An Information-theoretic Noise-robust Loss Function Yilun Xu Peng Cao Yuqing Kong Yizhou Wang NoLa 21 57 0 08 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 34 70 0 08 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 36 575 0 06 Sep 2019
Best Practices for Scientific Research on Neural Architecture Search Marius Lindauer Frank Hutter 14 142 0 05 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene classification Khaled Koutini Hamid Eghbalzadeh Gerhard Widmer 27 29 0 05 Sep 2019
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis Xueying Shi Qi Dou Cheng Xue J. Qin Hao Chen Pheng-Ann Heng 39 38 0 05 Sep 2019
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification Paul Primus Hamid Eghbalzadeh David Eitelsebner Khaled Koutini A. Arzt Gerhard Widmer 31 17 0 04 Sep 2019
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets Yang Li Jianhe Yuan Zhiqun Zhao Hao Sun Zhihai He 24 6 0 04 Sep 2019
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation Yuyin Zhou Yingwei Li Zhishuai Zhang Yan Wang Angtian Wang Elliot K. Fishman Alan Yuille Seyoun Park 27 46 0 03 Sep 2019
Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization Zhuoran Yu Aojun Zhou Yukun Ma Yudian Li Xiaohan Zhang Ping Luo 24 3 0 31 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019
A hybrid parametric-deep learning approach for sound event localization and detection A. Pérez-López Eduardo Fonseca Xavier Serra 17 6 0 27 Aug 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography Ziqian Luo Xiangrui Zeng Zhipeng Bao Min Xu 13 46 0 27 Aug 2019
Gated Convolutional Networks with Hybrid Connectivity for Image Classification Chuanguang Yang Zhulin An Hui Zhu Xiaolong Hu Boyu Diao Kaiqiang Xu Chao Li Yongjun Xu 30 51 0 26 Aug 2019
Mish: A Self Regularized Non-Monotonic Activation Function Diganta Misra 28 678 0 23 Aug 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 25 5 0 22 Aug 2019
Testing Robustness Against Unforeseen Adversaries Maximilian Kaufmann Daniel Kang Yi Sun Steven Basart Xuwang Yin ... Adam Dziedzic Franziska Boenisch Tom B. Brown Jacob Steinhardt Dan Hendrycks AAML 17 0 0 21 Aug 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 55 1,293 0 20 Aug 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 6 295 0 19 Aug 2019
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion Tianhao Qiao Shunqing Zhang Zhichao Zhang Shan Cao Shugong Xu 11 11 0 16 Aug 2019