Deep Networks with Stochastic Depth

30 March 2016

Gao Huang

Papers citing "Deep Networks with Stochastic Depth"

37 / 337 papers shown

Title
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition Qiangchang Wang G. Guo Mohammad Iqbal Nouyed CVBM 18 1 0 28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang F. I. F. Richard Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 9 624 0 26 Nov 2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu José Lezama A. Bronstein Guillermo Sapiro 16 8 0 22 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 29 25 0 15 Nov 2017
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask S. I. Mimilakis K. Drossos J. F. Santos G. Schuller Tuomas Virtanen Yoshua Bengio 33 40 0 04 Nov 2017
Age Group and Gender Estimation in the Wild with Deep RoR Architecture Ke Zhang Ce Gao Liru Guo Miao Sun Xingfang Yuan T. Han Zhenbing Zhao Baogang Li CVBM 14 113 0 09 Oct 2017
Pyramidal RoR for Image Classification Ke Zhang Liru Guo Ce Gao Zhenbing Zhao 28 20 0 01 Oct 2017
Riemannian approach to batch normalization Minhyung Cho Jaehyung Lee 21 93 0 27 Sep 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 25 261 0 12 Sep 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 14 217 0 22 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation Binghui Chen Weihong Deng Junping Du 23 125 0 12 Aug 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 26 145 0 26 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 20 81 0 10 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough L. Yang MedIm 13 301 0 08 Jul 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers Andrew Brock Theodore Lim J. Ritchie Nick Weston 12 123 0 15 Jun 2017
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks Gerda Bortsova Gijs van Tulder Florian Dubost Tingying Peng Nassir Navab A. van der Lugt D. Bos Marleen de Bruijne 16 15 0 04 Jun 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 17 176 0 03 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 19 796 0 28 Apr 2017
Residual Attention Network for Image Classification Fei Wang Mengqing Jiang Chao Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang 43 3,287 0 23 Apr 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu J. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 22 935 0 01 Apr 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu L. V. D. van der Maaten Kilian Q. Weinberger VLM 16 137 0 29 Mar 2017
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition Shuangping Huangm Zhuoyao Zhong Lianwen Jin Shuye Zhang Haobin Wang 13 18 0 17 Mar 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 22 835 0 04 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights Alexandre Boulch 18 26 0 28 Feb 2017
Feedback Networks Amir Zamir Te-Lin Wu Lin Sun Bokui (William) Shen Jitendra Malik Silvio Savarese 16 209 0 30 Dec 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks Xingcheng Zhang Zhizhong Li Chen Change Loy Dahua Lin MDE 22 259 0 17 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations Pau Rodríguez López Jordi Gonzalez Guillem Cucurull J. M. Gonfaus F. X. Roca 24 133 0 07 Nov 2016
UMDFaces: An Annotated Face Dataset for Training Deep Networks Ankan Bansal Anirudh Nanduri Carlos D. Castillo Rajeev Ranjan Rama Chellappa CVBM 3DH 23 212 0 04 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Lizhen Qu NoLa 11 1,433 0 13 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 18 534 0 06 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016
Mollifying Networks Çağlar Gülçehre Marcin Moczulski Francesco Visin Yoshua Bengio 13 46 0 17 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston 13 577 0 15 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks Ke Zhang Miao Sun T. Han Xingfang Yuan Liru Guo Tao Liu 16 302 0 09 Aug 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 22 462 0 02 Jul 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 28 933 0 24 May 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 22 7,899 0 23 May 2016