Self-training with Noisy Student improves ImageNet classification

11 November 2019

Papers citing "Self-training with Noisy Student improves ImageNet classification"

47 / 397 papers shown

Title
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization Yinuo Guo Hualei Zhu Zeqi Lin Bei Chen Jian-Guang Lou Dongmei Zhang BDL 182 26 0 08 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 17 68 0 25 Nov 2020
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion Lei Li Suping Wu 15 14 0 21 Nov 2020
A Random Matrix Theory Approach to Damping in Deep Learning Diego Granziol Nicholas P. Baskerville AI4CE ODL 24 2 0 15 Nov 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 24 38 0 29 Oct 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 26 324 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 41 39,174 0 22 Oct 2020
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis Katsuhiko Ishiguro K. Ujihara R. Sawada Hirotaka Akita Masaaki Kotera 22 6 0 02 Oct 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 13 3 0 23 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 20 165 0 01 Sep 2020
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans Ling Zhang Yu Shi Jiawen Yao Yun Bian Kai Cao D. Jin Jing Xiao Le Lu 19 20 0 24 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 14 19 0 19 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition Vikas Kumar Shivansh Rao Li Yu CVBM NoLa 21 31 0 06 Aug 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation S. Khaki Hieu H. Pham Ye Han Andy Kuhl W. Kent Lizhi Wang 19 60 0 20 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 16 26 0 08 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 26 457 0 30 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 30 238 0 19 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 24 160 0 16 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 33 211 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 24 1,586 0 15 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 19 432 0 11 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,832 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
ResKD: Residual-Guided Knowledge Distillation Xuewei Li Songyuan Li Bourahla Omar Fei Wu Xi Li 19 47 0 08 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 16 18 0 06 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation Andrew Tao Karan Sapra Bryan Catanzaro SSeg 26 449 0 21 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen Raphael Gontijo-Lopes Bowen Cheng Maxwell D. Collins E. D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens 23 76 0 20 May 2020
Large scale weakly and semi-supervised learning for low-resource video ASR Kritika Singh Vimal Manohar Alex Xiao Sergey Edunov Ross B. Girshick Vitaliy Liptchinsky Christian Fuegen Yatharth Saraf Geoffrey Zweig Abdel-rahman Mohamed 12 9 0 16 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 18 492 0 10 May 2020
Dual Learning for Semi-Supervised Natural Language Understanding Su Zhu Ruisheng Cao Kai Yu 22 31 0 26 Apr 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection Dongzhan Zhou Xinchi Zhou Hongwen Zhang Shuai Yi Wanli Ouyang VLM 18 16 0 25 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 17 136 0 31 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 19 45 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 30 120 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 8 62 0 25 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 248 656 0 23 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 11 5 0 29 Feb 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 19 226 0 26 Feb 2020
Training Question Answering Models From Synthetic Data Raul Puri Ryan Spring M. Patwary M. Shoeybi Bryan Catanzaro ELM 24 158 0 22 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 9 84 0 21 Feb 2020
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes E.C. Garrido-Merchán M. Molina AI4CE 14 11 0 02 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 32 1,183 0 24 Dec 2019
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images Irem Ülkü Erdem Akagündüz SSeg 21 188 0 21 Dec 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 242 269 0 30 Sep 2019
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition Ming Cheng Zhan Ma M. Salman Asif Yiling Xu Haojie Liu Wenbo Bao Jun Sun 25 21 0 28 Sep 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 197 243 0 14 Jun 2018