Title
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 133 121 0 04 Feb 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 45 123 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 27 6 0 09 Dec 2020
Annotation-efficient deep learning for automatic medical image segmentation Shanshan Wang Cheng Li Rongpin Wang Zaiyi Liu Meiyun Wang ... Xin Liu Jie Chen Hui-Chong Zhou Ismail Ben Ayed Hairong Zheng VLM MedIm 39 177 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 33 112 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation Chen Xu Bojie Hu Yufan Jiang Kai Feng Zeyang Wang Shen Huang Qi Ju Tong Xiao Jingbo Zhu 20 22 0 30 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 48 24 0 19 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 54 259 0 18 Nov 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting Zeke Xie Fengxiang He Shaopeng Fu Issei Sato Dacheng Tao Masashi Sugiyama 21 60 0 12 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 24 159 0 09 Nov 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction Luoqiu Li Xiang Chen Hongbin Ye Zhen Bi Shumin Deng Ningyu Zhang Huajun Chen 37 18 0 14 Sep 2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy Tom Farrand Fatemehsadat Mireshghallah Sahib Singh Andrew Trask FedML 11 88 0 10 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 19 97 0 07 Sep 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 46 443 0 09 Aug 2020
Data-driven Meta-set Based Fine-Grained Visual Classification Chuanyi Zhang Yazhou Yao Xiangbo Shu Zechao Li Zhenmin Tang Qi Wu NoLa 21 2 0 06 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Zhang NoLa 29 41 0 06 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
Knowledge Distillation Beyond Model Compression F. Sarfraz Elahe Arani Bahram Zonooz 38 40 0 03 Jul 2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors Ziqiang Li Hong Pan Yaping Zhu •. A. K. Qin 12 20 0 02 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 36 557 0 30 Jun 2020
Measuring Memorization Effect in Word-Level Neural Networks Probing Rudolf Rosa Tomáš Musil David Marevcek 30 3 0 29 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 23 77 0 22 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim M. Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 48 87 0 18 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 23 18 0 17 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 39 31 0 14 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 19 397 0 12 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 22 38 0 09 Jun 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 23 53 0 09 Jun 2020
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 46 27 0 09 Jun 2020
Learning the gravitational force law and other analytic functions Atish Agarwala Abhimanyu Das Rina Panigrahy Qiuyi Zhang MLT 16 0 0 15 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 52 371 0 30 Apr 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich R. Caruana Geoffrey E. Hinton 46 406 0 29 Apr 2020
Unsupervised Person Re-identification via Multi-label Classification Dongkai Wang Shiliang Zhang 24 360 0 20 Apr 2020
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition George Sterpu Christian Saam N. Harte 34 28 0 17 Apr 2020
Dataless Model Selection with the Deep Frame Potential Calvin Murdock Simon Lucey 41 6 0 30 Mar 2020
Analyzing Visual Representations in Embodied Navigation Tasks Erik Wijmans Julian Straub Dhruv Batra Irfan Essa Judy Hoffman Ari S. Morcos 19 2 0 12 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks Majed El Helou Frederike Dumbgen Sabine Süsstrunk CLL AI4CE 30 2 0 07 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 501 0 05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 67 28 0 03 Mar 2020
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization S. Chatterjee ODL OOD 11 51 0 25 Feb 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 19 177 0 19 Feb 2020
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Zeke Xie Issei Sato Masashi Sugiyama ODL 28 17 0 10 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 32 98 0 09 Feb 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study Jinlan Fu Pengfei Liu Qi Zhang Xuanjing Huang AI4CE 33 73 0 12 Jan 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 44 104 0 11 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 536 0 05 Dec 2019