Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need

29 January 2019

Papers citing "Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need"

22 / 22 papers shown

Title
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 242 0 0 23 May 2025
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning Baoyuan Wu Weidong Chen Yanbo Fan Yong Zhang Jinlong Hou Jie Liu Tong Zhang VLM MLLM 62 86 0 07 Jan 2019
Are All Training Examples Created Equal? An Empirical Study Kailas Vodrahalli Ke Li Jitendra Malik 47 59 0 30 Nov 2018
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Alina Kuznetsova H. Rom N. Alldrin J. Uijlings Ivan Krasin ... S. Popov Matteo Malloci Alexander Kolesnikov Tom Duerig V. Ferrari ObjD VLM 103 1,348 0 02 Nov 2018
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks Vishal Kaushal Anurag Sahoo Khoshrav Doctor Narasimha Raju Uppalapati Suyash Shetty Pankaj Singh Rishabh K. Iyer Ganesh Ramakrishnan VLM 52 10 0 28 May 2018
Tensor2Tensor for Neural Machine Translation Ashish Vaswani Samy Bengio E. Brevdo François Chollet Aidan Gomez ... Nal Kalchbrenner Niki Parmar Ryan Sepassi Noam M. Shazeer Jakob Uszkoreit 92 530 0 16 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 55 450 0 15 Mar 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos François Fleuret 92 520 0 02 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 70 1,283 0 02 Mar 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 185 2,398 0 10 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 126 3,681 0 08 Jun 2017
Shake-Shake regularization Xavier Gastaldi 3DPC BDL OOD 79 380 0 21 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 253 2,966 0 20 Mar 2017
Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu Zhe Gan Ricardo Henao Xin Yuan Chunyuan Li Andrew Stevens Lawrence Carin BDL CoGe 86 753 0 28 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 330 8,130 0 13 Aug 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 82 1,112 0 14 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
Are all training examples equally valuable? Àgata Lapedriza Hamed Pirsiavash Zoya Bylinskii Antonio Torralba TDI 90 76 0 25 Nov 2013