Online Batch Selection for Faster Training of Neural Networks

19 November 2015

Papers citing "Online Batch Selection for Faster Training of Neural Networks"

40 / 140 papers shown

Title
Accelerating Deep Learning by Focusing on the Biggest Losers Angela H. Jiang Daniel L.-K. Wong Giulio Zhou D. Andersen J. Dean ... Gauri Joshi M. Kaminsky M. Kozuch Zachary Chase Lipton Padmanabhan Pillai 19 119 0 02 Oct 2019
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks Dongming Yang YueXian Zou Jian Zhang Ge Li ObjD 18 9 0 19 Aug 2019
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization Kenji Kawaguchi Haihao Lu ODL 30 62 0 09 Jul 2019
Inverse Attention Guided Deep Crowd Counting Network Vishwanath A. Sindagi Vishal M. Patel 24 30 0 02 Jul 2019
Submodular Batch Selection for Training Deep Neural Networks K. J. Joseph R. VamshiTeja Krishnakant Singh V. Balasubramanian 13 23 0 20 Jun 2019
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection Huijuan Xu Abir Das Kate Saenko 3DPC 19 46 0 05 Jun 2019
Derivative Manipulation for General Example Weighting Xinshao Wang Elyor Kodirov Yang Hua N. Robertson NoLa 13 1 0 27 May 2019
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks Jiong Zhang Hsiang-Fu Yu Inderjit S. Dhillon 24 26 0 08 May 2019
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity Tianlin Li Zi-Han Chen Rui Yang Bin Luo Jin Tang 22 3 0 06 May 2019
Online Variance Reduction with Mixtures Zalan Borsos Sebastian Curi Kfir Y. Levy Andreas Krause 11 14 0 29 Mar 2019
Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling Xinyu Peng Li Li Feiyue Wang BDL 61 56 0 11 Mar 2019
Robust Face Detection via Learning Small Faces on Hard Images Zhishuai Zhang Wei Shen Siyuan Qiao Yan Wang Bo Wang Alan Yuille ObjD 3DH AAML CVBM 32 37 0 28 Nov 2018
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention Guyue Hu Bo Cui Shan Yu 21 40 0 10 Nov 2018
Handwriting Recognition in Low-resource Scripts using Adversarial Learning A. Bhunia Abhirup Das A. Bhunia P. Kishore P. Roy 37 66 0 04 Nov 2018
Self-supervised learning of a facial attribute embedding from video Olivia Wiles A. Sophia Koepke Andrew Zisserman CVBM SSL 24 132 0 21 Aug 2018
Unsupervised Hard Example Mining from Videos for Improved Object Detection SouYoung Jin Aruni RoyChowdhury Huaizu Jiang Ashish Singh Aditya Prasad Deep Chakraborty Erik Learned-Miller ObjD 29 63 0 13 Aug 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings Vithursan Thangarasa Graham W. Taylor 3DH SSL 23 6 0 24 Jul 2018
Approximate Newton-based statistical inference using only stochastic gradients Tianyang Li Anastasios Kyrillidis L. Liu Constantine Caramanis 11 6 0 23 May 2018
Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets Jikai Chen Hanjiang Lai Libing Geng Yan Pan 14 8 0 17 Apr 2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound Yan Wang Yuyin Zhou Peng Tang Wei Shen Elliot K. Fishman Alan Yuille OOD SSeg 22 26 0 07 Apr 2018
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data Qi Chen Weichao Qiu Yi Zhang Lingxi Xie Alan Yuille 3DH 21 5 0 01 Apr 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos François Fleuret 23 510 0 02 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 113 731 0 02 Mar 2018
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks Tae-Hoon Kim Jonghyun Choi 28 9 0 03 Jan 2018
Recurrent Pixel Embedding for Instance Grouping Shu Kong Charless C. Fowlkes 32 180 0 22 Dec 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 44 335 0 29 Oct 2017
Optimizing Region Selection for Weakly Supervised Object Detection Wenhui Jiang Thuyen Ngo B. S. Manjunath Zhaohui Hou Zhicheng Zhao WSOD 29 7 0 05 Aug 2017
Biased Importance Sampling for Deep Neural Network Training Angelos Katharopoulos François Fleuret 15 65 0 31 May 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang Erik Learned-Miller Andrew McCallum 20 348 0 24 Apr 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection Xinyu Wang Abhinav Shrivastava Abhinav Gupta ObjD 38 569 0 11 Apr 2017
Learning What Data to Learn Yang Fan Fei Tian Tao Qin Jiang Bian Tie-Yan Liu 18 79 0 28 Feb 2017
Supervision via Competition: Robot Adversaries for Learning Tasks Lerrel Pinto James Davidson Abhinav Gupta SSL 34 82 0 05 Oct 2016
Deep Q-Networks for Accelerating the Training of Deep Neural Networks Jie Fu AI4CE 46 11 0 05 Jun 2016
Bridging Category-level and Instance-level Semantic Image Segmentation Zifeng Wu Chunhua Shen Anton Van Den Hengel ISeg SSeg 9 161 0 23 May 2016
Review of state-of-the-arts in artificial intelligence with application to AI safety problem V. Shakirov 20 10 0 11 May 2016
CMA-ES for Hyperparameter Optimization of Deep Neural Networks I. Loshchilov Frank Hutter BDL 14 196 0 25 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 25 130 0 15 Apr 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 87 2,401 0 12 Apr 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 37 5,150 0 22 Dec 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014