Label Refinery: Improving ImageNet Classification through Label Progression

7 May 2018

Papers citing "Label Refinery: Improving ImageNet Classification through Label Progression"

50 / 113 papers shown

Title
Few-Shot Learning with a Strong TeacherIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 198 66 0 01 Jul 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation LearningNeural Information Processing Systems (NeurIPS), 2021 Pan Zhou Caiming Xiong Xiaotong Yuan Guosheng Lin SSL 128 12 0 28 Jun 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification Yixiao Ge Xiao Zhang Ching Lam Choi Ka Chun Cheung Peipei Zhao Feng Zhu Xiaogang Wang Rui Zhao Jiaming Song FedML UQCV 302 36 0 27 Apr 2021
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation Rui Cheng Bichen Wu Peizhao Zhang Peter Vajda Joseph E. Gonzalez CLIP VLM 147 33 0 18 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical StudyInternational Conference on Learning Representations (ICLR), 2021 Zhiqiang Shen Zechun Liu Dejia Xu Zitian Chen Kwang-Ting Cheng Marios Savvides 148 81 0 01 Apr 2021
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning Shuiyang Mao P. Ching Tan Lee 91 2 0 30 Mar 2021
A New Training Framework for Deep Neural Network Zhenyan Hou Wenxuan Fan FedML 263 2 0 12 Mar 2021
ISP DistillationIEEE Open Journal of Signal Processing (JOSP), 2021 Eli Schwartz A. Bronstein Raja Giryes VLM 278 8 0 25 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 244 30 0 21 Jan 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2021 Yige Li Lingjuan Lyu Nodens Koren X. Lyu Yue Liu Jiabo He AAML FedML 291 492 0 15 Jan 2021
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN J. Lee S. Lee S. Back S. Shin K. Lee 134 6 0 07 Jan 2021
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection Hongda Shen E. Kursun AAML 215 2 0 05 Jan 2021
Energy-constrained Self-training for Unsupervised Domain AdaptationInternational Conference on Pattern Recognition (ICPR), 2021 Xiaofeng Liu Bo Hu Xiongchang Liu Jun Lu J. You Lingsheng Kong 289 32 0 01 Jan 2021
Learning with RetrospectionAAAI Conference on Artificial Intelligence (AAAI), 2020 Xiang Deng Zhongfei Zhang 107 20 0 24 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity DistillationIEEE International Conference on Computer Vision (ICCV), 2020 Ajinkya Tejankar Soroush Abbasi Koohpayegani Vipin Pillai Paolo Favaro Hamed Pirsiavash SSL 277 47 0 16 Dec 2020
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation FeaturesRisk Analysis (Risk Anal.), 2020 Q. D. Cao Youngjun Choe 126 9 0 15 Dec 2020
Self-Training for Class-Incremental Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Lu Yu Xialei Liu Joost van de Weijer CLL SSL 240 64 0 06 Dec 2020
Layer-Wise Data-Free CNN CompressionInternational Conference on Pattern Recognition (ICPR), 2020 Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 167 19 0 18 Nov 2020
CompRess: Self-Supervised Learning by Compressing RepresentationsNeural Information Processing Systems (NeurIPS), 2020 Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 223 97 0 28 Oct 2020
A Data Set and a Convolutional Model for Iconography Classification in Paintings Federico Milani Piero Fraternali 265 57 0 06 Oct 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down DistillationEuropean Conference on Computer Vision (ECCV), 2020 Benlin Liu Yongming Rao Jiwen Lu Jie Zhou Cho-Jui Hsieh 156 41 0 27 Aug 2020
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy Shaoteng Liu Lijun Gong Kai Ma Yefeng Zheng MedIm 209 44 0 20 Jul 2020
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2020 Haoran Wang T. Shen Wei Zhang Lingyu Duan Tao Mei 155 317 0 17 Jul 2020
Differential Replication in Machine Learning Irene Unceta Jordi Nin O. Pujol SyDa 97 1 0 15 Jul 2020
Towards Practical Lipreading with Distilled and Efficient ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Pingchuan Ma Brais Martínez Stavros Petridis Maja Pantic 223 107 0 13 Jul 2020
Learning to Learn Parameterized Classification Networks for Scalable Input ImagesEuropean Conference on Computer Vision (ECCV), 2020 Duo Li Anbang Yao Qifeng Chen 148 12 0 13 Jul 2020
Data-Efficient Ranking Distillation for Image RetrievalAsian Conference on Computer Vision (ACCV), 2020 Zakaria Laskar Arno Solin VLM 155 4 0 10 Jul 2020
Robust Re-Identification by Multiple Views Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2020 Angelo Porrello Luca Bergamini Simone Calderara 165 72 0 08 Jul 2020
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification Yunpeng Zhai QiXiang Ye Shijian Lu Mengxi Jia Rongrong Ji Yonghong Tian 239 185 0 03 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 126 5 0 30 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 135 45 0 20 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 1.4K 3,607 0 09 Jun 2020
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision David S. W. Williams D. Martini Matthew Gadd Letizia Marchegiani Paul Newman 128 12 0 11 May 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating MinimizationNeural Processing Letters (NPL), 2020 Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 109 3 0 26 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge DistillationComputer Vision and Pattern Recognition (CVPR), 2020 Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 209 319 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2020 Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 145 66 0 25 Mar 2020
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning Lie Ju Xin Wang Xin Zhao Huimin Lu Dwarikanath Mahapatra Paul Bonnington Z. Ge 146 1 0 24 Mar 2020
Self-Adaptive Training: beyond Empirical Risk MinimizationNeural Information Processing Systems (NeurIPS), 2020 Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 287 225 0 24 Feb 2020
Subclass Distillation Rafael Müller Simon Kornblith Geoffrey E. Hinton 146 35 0 10 Feb 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive CompensationBritish Machine Vision Conference (BMVC), 2019 Madan Ravi Ganesh Jason J. Corso ODL 164 10 0 13 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 200 36 0 09 Jan 2020
A simple baseline for domain adaptation using rotation prediction Ajinkya Tejankar Hamed Pirsiavash SSL 124 5 0 26 Dec 2019
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference Bram-Ernst Verhoef Nathan Laubeuf S. Cosemans P. Debacker Ioannis A. Papistas A. Mallik D. Verkest MQ 177 16 0 19 Dec 2019
Preparing Lessons: Improve Knowledge Distillation with Better Supervision Tiancheng Wen Shenqi Lai Xueming Qian 356 75 0 18 Nov 2019
Directional Adversarial Training for Cost Sensitive Deep Learning Classification ApplicationsEngineering applications of artificial intelligence (EAAI), 2019 M. Terzi Gian Antonio Susto Pratik Chaudhari OOD AAML 122 17 0 08 Oct 2019
$Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network$ Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network Bin Dong Jikai Hou Yiping Lu Zhihua Zhang 152 42 0 02 Oct 2019
Confidence Regularized Self-TrainingIEEE International Conference on Computer Vision (ICCV), 2019 Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 561 867 0 26 Aug 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 104 5 0 22 Aug 2019
Efficient Deep Neural Networks Bichen Wu 135 12 0 20 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 114 32 0 15 Aug 2019