Self-training with Noisy Student improves ImageNet classification

11 November 2019

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

50 / 509 papers shown

Title
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 39,330 0 22 Oct 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data Taehyean Choi Ji-Su Kang Jong-Hwan Kim SyDa AI4TS 22 21 0 20 Oct 2020
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis Katsuhiko Ishiguro K. Ujihara R. Sawada Hirotaka Akita Masaaki Kotera 27 6 0 02 Oct 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 34 62 0 28 Sep 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 28 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 35 165 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 24 19 0 19 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition Vikas Kumar Shivansh Rao Li Yu CVBM NoLa 37 31 0 06 Aug 2020
Semi-Supervised Learning with Data Augmentation for End-to-End ASR F. Weninger F. Mana R. Gemello Jesús Andrés-Ferrer P. Zhan 25 30 0 27 Jul 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
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 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
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 27 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 24 533 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 42 463 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 32 240 0 19 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift Yining Chen Colin Wei Ananya Kumar Tengyu Ma OOD 29 84 0 17 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 32 160 0 16 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 38 211 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 50 1,586 0 15 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
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 645 0 11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 30 432 0 11 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
ResKD: Residual-Guided Knowledge Distillation Xuewei Li Songyuan Li Bourahla Omar Fei Wu Xi Li 21 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 21 18 0 06 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation Andrew Tao Karan Sapra Bryan Catanzaro SSeg 31 449 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 28 76 0 20 May 2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels Junran Peng Xingyuan Bu Ming Sun Zhaoxiang Zhang Tieniu Tan Junjie Yan VLM ObjD 27 60 0 18 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 31 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 38 493 0 10 May 2020
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition? Abhinav Shukla Stavros Petridis M. Pantic SSL 32 28 0 04 May 2020
Dual Learning for Semi-Supervised Natural Language Understanding Su Zhu Ruisheng Cao Kai Yu 43 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 24 16 0 25 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 25 136 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 26 45 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 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
Med7: a transferable clinical natural language processing model for electronic health records Andrey Kormilitzin N. Vaci Qiang Liu A. Nevado-Holgado 22 115 0 03 Mar 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 10 3 0 02 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 28 227 0 26 Feb 2020
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks Soham De Samuel L. Smith ODL 21 20 0 24 Feb 2020
Semi-Supervised Neural Architecture Search Renqian Luo Xu Tan Rui Wang Tao Qin Enhong Chen Tie-Yan Liu 13 88 0 24 Feb 2020
Training Question Answering Models From Synthetic Data Raul Puri Ryan Spring M. Patwary M. Shoeybi Bryan Catanzaro ELM 24 159 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 27 84 0 21 Feb 2020