Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

50 / 772 papers shown

Title
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 550 0 21 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 22 228 0 19 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 17 159 0 17 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 960 0 16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons P. Micaelli Amos Storkey 10 15 0 15 Jul 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild Aruni RoyChowdhury Xiang Yu Kihyuk Sohn Erik Learned-Miller Manmohan Chandraker CVBM 16 19 0 14 Jul 2020
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise Amirmasoud Ghiassi Taraneh Younesian Robert Birke L. Chen NoLa 21 5 0 13 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels Amirmasoud Ghiassi Robert Birke Rui Han L. Chen NoLa 21 2 0 10 Jul 2020
Learning to Reweight with Deep Interactions Yang Fan Yingce Xia Lijun Wu Shufang Xie Weiqing Liu Jiang Bian Tao Qin Xiang-Yang Li 9 9 0 09 Jul 2020
Meta Corrupted Pixels Mining for Medical Image Segmentation Jixin Wang Sanping Zhou Chaowei Fang Le Wang Jinjun Wang 10 15 0 07 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 24 26 0 05 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh A. Schwing 36 95 0 02 Jul 2020
Tilted Empirical Risk Minimization Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 14 127 0 02 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning Dongxian Wu Yisen Wang Zhuobin Zheng Shutao Xia NoLa 8 2 0 01 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 8 553 0 30 Jun 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao Yining Chen Junwei Lu Nikos Arechiga Adrien Gaidon Tengyu Ma 22 68 0 29 Jun 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian Gabriel Maicas L. Pu Rajvinder Singh Johan W. Verjans G. Carneiro MedIm 22 38 0 26 Jun 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen Wuyang Chen Tianlong Chen Ye Yuan Chen Gong Kewei Chen Zhangyang Wang 15 76 0 22 Jun 2020
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 12 0 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 25 25 0 22 Jun 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 25 45 0 15 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 13 67 0 14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 16 53 0 14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 14 8 0 13 Jun 2020
Learning a Unified Sample Weighting Network for Object Detection Qi Cai Yingwei Pan Yu Wang Jingen Liu Ting Yao Tao Mei 6 31 0 11 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 31 29 0 10 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 33 134 0 08 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 38 226 0 06 Jun 2020
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation Aravind Sankar Yanhong Wu Yuhang Wu Wei Zhang Hao Yang Hari Sundaram AI4TS 14 88 0 05 Jun 2020
Learning with Weak Supervision for Email Intent Detection Kai Shu Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah Milad Shokouhi S. Dumais 14 34 0 26 May 2020
Underwater object detection using Invert Multi-Class Adaboost with deep learning Long Chen Zhihua Liu Lei Tong Zheheng Jiang Shengke Wang Junyu Dong Huiyu Zhou 6 73 0 23 May 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 24 60 0 07 May 2020
Deflating Dataset Bias Using Synthetic Data Augmentation Nikita Jaipuria Xianling Zhang Rohan Bhasin Mayar Arafa Punarjay Chakravarty Shubham Shrivastava Sagar Manglani Vidya N. Murali 16 63 0 28 Apr 2020
Deep k-NN for Noisy Labels Dara Bahri Heinrich Jiang Maya R. Gupta NoLa 4 80 0 26 Apr 2020
Deep Learning Classification With Noisy Labels Guillaume Sanchez V. Guis R. Marxer F. Bouchara NoLa 12 1 0 23 Apr 2020
Balancing Training for Multilingual Neural Machine Translation Xinyi Wang Yulia Tsvetkov Graham Neubig 14 98 0 14 Apr 2020
Learning from Rules Generalizing Labeled Exemplars Abhijeet Awasthi Sabyasachi Ghosh Rasna Goyal Sunita Sarawagi 14 86 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 55 1,928 0 11 Apr 2020
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight Hengyi Cai Hongshen Chen Yonghao Song Cheng Zhang Xiaofang Zhao Dawei Yin 9 70 0 06 Apr 2020
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News Kai Shu Guoqing Zheng Yichuan Li Subhabrata Mukherjee Ahmed Hassan Awadallah Scott W. Ruston Huan Liu 24 53 0 03 Apr 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples Lili Pan Shijie Ai Yazhou Ren Zenglin Xu 7 16 0 03 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 15 220 0 01 Apr 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 37 261 0 24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 16 13 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
Label Noise Types and Their Effects on Deep Learning G. Algan ilkay Ulusoy NoLa 6 53 0 23 Mar 2020
Improving Training on Noisy Stuctured Labels Abubakar Abid James Zou NoLa 6 1 0 08 Mar 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning Elad Amrani Rami Ben-Ari Daniel Rotman A. Bronstein 14 121 0 06 Mar 2020
No Regret Sample Selection with Noisy Labels H. Song N. Mitsuo S. Uchida D. Suehiro NoLa 27 5 0 06 Mar 2020