Densely Connected Convolutional Networks

25 August 2016

Gao Huang

Zhuang Liu

Laurens van der Maaten

Papers citing "Densely Connected Convolutional Networks"

50 / 5,600 papers shown

Title
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 57 586 0 22 May 2017
Shake-Shake regularization Xavier Gastaldi 3DPC BDL OOD 30 380 0 21 May 2017
Residual Squeeze VGG16 Hussam Qassim David Feinzimer Abhishek Verma VLM 16 21 0 05 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions Nadav Cohen Or Sharir Yoav Levine Ronen Tamari David Yakira Amnon Shashua 20 38 0 05 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 33 176 0 03 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 86 798 0 28 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 39 86 0 25 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 15 2,717 0 13 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 25 1,233 0 04 Apr 2017
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Masanori Suganuma Shinichi Shirakawa T. Nagao 27 587 0 03 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 50 935 0 01 Apr 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger VLM 24 137 0 29 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition Yan Wang Lingxi Xie Chenxi Liu Ya Zhang Wenjun Zhang Alan Yuille 25 53 0 20 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 58 4,645 0 15 Mar 2017
Massive Exploration of Neural Machine Translation Architectures D. Britz Anna Goldie Minh-Thang Luong Quoc V. Le 35 516 0 11 Mar 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 53 836 0 04 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 27 1,628 0 03 Mar 2017
On the Reconstruction of Face Images from Deep Face Templates Guangcan Mai Kai Cao Pong C. Yuen Anil K. Jain 3DH CVBM 32 182 0 02 Mar 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju H. Shahrzad Arshak Navruzyan Nigel P. Duffy B. Hodjat 42 884 0 01 Mar 2017
Skin Lesion Classification Using Hybrid Deep Neural Networks A. Mahbod Gerald Schaefer Chunliang Wang R. Ecker Isabella Ellinger 27 213 0 27 Feb 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness Ryo Takahashi Takashi Matsubara K. Uehara OOD 30 21 0 12 Feb 2017
Skip Connections Eliminate Singularities Emin Orhan Xaq Pitkow 33 25 0 31 Jan 2017
The HASYv2 dataset Martin Thoma VLM 24 36 0 29 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Image De-raining Using a Conditional Generative Adversarial Network He Zhang Vishwanath A. Sindagi Vishal M. Patel GAN 32 1,010 0 21 Jan 2017
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning Amit Shaked Lior Wolf 3DV 20 198 0 31 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 63 493 0 27 Dec 2016
Highway and Residual Networks learn Unrolled Iterative Estimation Klaus Greff R. Srivastava Jürgen Schmidhuber AI4TS 29 214 0 22 Dec 2016
Deep Pyramidal Residual Networks with Separated Stochastic Depth Yoshihiro Yamada Masakazu Iwamura K. Kise 23 27 0 05 Dec 2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images David Vázquez Jorge Bernal F. Sánchez Gloria Fernández-Esparrach Antonio M. López Adriana Romero M. Drozdzal Aaron Courville 3DV 22 624 0 02 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation S. Jégou M. Drozdzal David Vazquez Adriana Romero Yoshua Bengio SSeg 46 1,573 0 28 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks Xingcheng Zhang Zhizhong Li Chen Change Loy Dahua Lin MDE 38 259 0 17 Nov 2016
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 25 398 0 14 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Quasi-Recurrent Neural Networks James Bradbury Stephen Merity Caiming Xiong R. Socher 53 437 0 05 Nov 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 41 433 0 14 Oct 2016
RetiNet: Automatic AMD identification in OCT volumetric data S. Apostolopoulos Carlos Ciller Sandro De Zanet Sebastian Wolf Raphael Sznitman 24 34 0 12 Oct 2016
Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images Manan A. Shah Christopher A. Rubadue D. Suster Dayong Wang 18 40 0 11 Oct 2016
Deep Pyramidal Residual Networks Dongyoon Han Jiwhan Kim Junmo Kim 26 689 0 10 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 84 1,589 0 27 Sep 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 603 0 22 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston GAN 27 457 0 22 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 57 7,952 0 13 Aug 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 29 283 0 05 Jul 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 31 350 0 27 Jun 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 45 933 0 24 May 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 105 1,925 0 25 Feb 2016
Improved graph-based SFA: Information preservation complements the slowness principle Alberto N. Escalante Laurenz Wiskott 16 16 0 15 Jan 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 109 43,034 0 11 Feb 2015