mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,988 papers shown

Title
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence Chengyue Gong Dilin Wang Qiang Liu FedML 24 42 0 23 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 38 113 0 23 Nov 2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging Abel Díaz Berenguer Hichem Sahli Boris Joukovsky Maryna Kvasnytsia Ine Dirks ... P. Meunier S. Gryspeerdt K. Smet B. Jansen Jef Vandemeulebroucke 31 8 0 23 Nov 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 29 13 0 23 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 15 17 0 22 Nov 2020
Neural Group Testing to Accelerate Deep Learning Weixin Liang James Zou OOD 37 20 0 21 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong F. Yu Shaoqing Lu Shi Gu MQ 39 38 0 19 Nov 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment Bing Yu Hua Qi Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Jianjun Zhao 17 5 0 19 Nov 2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff Eitan Borgnia Valeriia Cherepanova Liam H. Fowl Amin Ghiasi Jonas Geiping Micah Goldblum Tom Goldstein Arjun Gupta AAML 29 127 0 18 Nov 2020
Sequence-Level Mixed Sample Data Augmentation Demi Guo Yoon Kim Alexander M. Rush 25 98 0 18 Nov 2020
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher Thai Le Noseong Park Dongwon Lee AAML 8 20 0 17 Nov 2020
Anatomy Prior Based U-net for Pathology Segmentation with Attention Lihao Liu Kecheng Zhang Xinzhe Luo Sihan Wang Xiahai Zhuang MedIm 14 7 0 17 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? Longhui Wei Lingxi Xie Jianzhong He Jianlong Chang Xiaopeng Zhang Wen-gang Zhou Houqiang Li Qi Tian SSL 22 25 0 17 Nov 2020
Learning outside the Black-Box: The pursuit of interpretable models Jonathan Crabbé Yao Zhang W. Zame M. Schaar 14 24 0 17 Nov 2020
Combining Self-Supervised and Supervised Learning with Noisy Labels Yongqi Zhang Hui Zhang Quanming Yao Jun Wan NoLa SSL 13 0 0 16 Nov 2020
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective David Gillespie Connah Kendrick I. Boon C. Boon T. Rattay Moi Hoon Yap 13 12 0 16 Nov 2020
Learn an Effective Lip Reading Model without Pains Dalu Feng Shuang Yang Shiguang Shan Xilin Chen 30 61 0 15 Nov 2020
Coresets for Robust Training of Neural Networks against Noisy Labels Baharan Mirzasoleiman Kaidi Cao J. Leskovec NoLa 27 32 0 15 Nov 2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study Veysel Kocaman O. M. Shir Thomas Bäck 34 4 0 12 Nov 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 8 40 0 11 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 20 116 0 09 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 29 159 0 09 Nov 2020
Detecting Outliers with Foreign Patch Interpolation Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz MedIm 26 48 0 09 Nov 2020
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning Yoon-Yeong Kim Kyungwoo Song Joonho Jang Il-Chul Moon 10 4 0 09 Nov 2020
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder Yunhao Yang Andrew Whinston 25 5 0 07 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 44 24 0 05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning Hao Li Xiaopeng Zhang H. Xiong 21 8 0 05 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation SeulGi Hong Heonjin Ha Junmo Kim Min-Kook Choi 32 10 0 05 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 41 91 0 04 Nov 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training Dongha Choi Hyunju Lee 25 5 0 04 Nov 2020
A Two-Stage Approach to Device-Robust Acoustic Scene Classification Hu Hu Chao-Han Huck Yang Xianjun Xia Xue Bai Xin Tang ... Yuanjun Zhao Sabato Marco Siniscalchi Yannan Wang Jun Du Chin-Hui Lee 30 30 0 03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 24 500 0 03 Nov 2020
An Information-Geometric Distance on the Space of Tasks Yansong Gao Pratik Chaudhari 17 21 0 01 Nov 2020
MixKD: Towards Efficient Distillation of Large-scale Language Models Kevin J. Liang Weituo Hao Dinghan Shen Yufan Zhou Weizhu Chen Changyou Chen Lawrence Carin 24 73 0 01 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 45 90 0 30 Oct 2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging Qingjie Meng Jacqueline Matthew V. Zimmer Alberto Gómez D. Lloyd Daniel Rueckert Bernhard Kainz OOD 19 36 0 30 Oct 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 19 176 0 29 Oct 2020
Suppressing Mislabeled Data via Grouping and Self-Attention Xiaojiang Peng Kai Wang Zhaoyang Zeng Qing Li Jianfei Yang Yu Qiao 19 32 0 29 Oct 2020
Self-paced Data Augmentation for Training Neural Networks Tomoumi Takase Ryo Karakida H. Asoh 20 17 0 29 Oct 2020
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation Vishal Sunder Eric Fosler-Lussier 14 5 0 28 Oct 2020
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery Yu Shen Sijie Zhu Taojiannan Yang Chong Chen 38 12 0 27 Oct 2020
Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis Nicolò Fusi 34 18 0 24 Oct 2020
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 65 33 0 23 Oct 2020
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels Valentyn Melnychuk Evgeniy Faerman I. Manakov Thomas Seidl 17 0 0 23 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 27 25 0 22 Oct 2020
Urban Sound Classification : striving towards a fair comparison Augustin Arnault Baptiste Hanssens Nicolas Riche 29 8 0 22 Oct 2020
A ReLU Dense Layer to Improve the Performance of Neural Networks Alireza M. Javid Sandipan Das Mikael Skoglund Saikat Chatterjee 31 32 0 22 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 35 26 0 22 Oct 2020