Deep Networks with Stochastic Depth

30 March 2016

Gao Huang

Papers citing "Deep Networks with Stochastic Depth"

50 / 337 papers shown

Title
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification Yunpeng Zhai QiXiang Ye Shijian Lu Mengxi Jia Rongrong Ji Yonghong Tian 6 163 0 03 Jul 2020
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip H. S. Torr Vinay P. Namboodiri BDL AI4TS 19 73 0 18 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 17 100 0 15 Jun 2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision Bichen Wu Chenfeng Xu Xiaoliang Dai Alvin Wan Peizhao Zhang Zhicheng Yan M. Tomizuka Joseph E. Gonzalez Kurt Keutzer Peter Vajda ViT 28 545 0 05 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 29 653 0 01 Jun 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen Raphael Gontijo-Lopes Bowen Cheng Maxwell D. Collins E. D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens 23 76 0 20 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 16 492 0 10 May 2020
X3D: Expanding Architectures for Efficient Video Recognition Christoph Feichtenhofer 66 998 0 09 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 47 2,593 0 01 Apr 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 106 19 0 24 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 327 53 0 09 Mar 2020
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network Yuxin Zhang Zuquan Zheng Roland Hu 11 10 0 07 Mar 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 11 482 0 17 Feb 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 11 34 0 18 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 14 13 0 02 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild Xin Chen Lingxi Xie Jun Wu Qi Tian 11 93 0 23 Dec 2019
FlauBERT: Unsupervised Language Model Pre-training for French Hang Le Loïc Vial Jibril Frej Vincent Segonne Maximin Coavoux Benjamin Lecouteux A. Allauzen Benoît Crabbé Laurent Besacier D. Schwab AI4CE 26 395 0 11 Dec 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 9 367 0 28 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 19 91 0 29 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 17 584 0 25 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution Wenming Yang Xuechen Zhang Yapeng Tian Wei Wang Jing-Hao Xue Q. Liao 21 16 0 09 Sep 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 17 826 0 25 Aug 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks Bin Wang Bing Xue Mengjie Zhang 16 50 0 29 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 21 122 0 23 Jun 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition Ngoc-Quan Pham T. Nguyen J. Niehues Markus Müller Sebastian Stüker A. Waibel 19 161 0 30 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 13 80 0 29 Apr 2019
DeepCaps: Going Deeper with Capsule Networks Jathushan Rajasegaran Vinoj Jayasundara S. Jayasekara Hirunima Jayasekara Suranga Seneviratne Ranga Rodrigo 3DPC 9 192 0 21 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 17 19 0 03 Apr 2019
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 30 21 0 22 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector Chen Du Chunheng Wang Yanna Wang Cunzhao Shi Baihua Xiao 6 42 0 15 Nov 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 17 0 0 19 Oct 2018
Training Deeper Neural Machine Translation Models with Transparent Attention Ankur Bapna M. Chen Orhan Firat Yuan Cao Yonghui Wu 27 138 0 22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 14 429 0 22 Aug 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 17 16,017 0 17 Jul 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized Models Mahdi M. Kalayeh M. Shah 19 42 0 07 Jun 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 16 424 0 07 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 8 134 0 05 Jun 2018
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI Jo Schlemper Guang Yang Pedro F. Ferreira Andrew D. Scott L. McGill ... M. Roehl J. Keegan D. Pennell D. Firmin Daniel Rueckert MedIm DiffM 13 54 0 30 May 2018
Fine-Grained Age Estimation in the wild with Attention LSTM Networks Ke Zhang Na Liu Xingfang Yuan Xinyao Guo Ce Gao Zhenbing Zhao Zhanyu Ma CVBM 6 102 0 26 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 13 26 0 21 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 8 1,020 0 12 May 2018
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing Che-Wei Huang Shrikanth Narayanan 16 4 0 18 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 6 104 0 17 Apr 2018
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation Zuxuan Wu Xintong Han Yen-Liang Lin M. Uzunbas Tom Goldstein Ser Nam Lim L. Davis 14 263 0 16 Apr 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage Qiuyu Zhu Ruixin Zhang 3DH 8 5 0 07 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 18 873 0 03 Mar 2018
Deep Neural Nets with Interpolating Function as Output Activation Bao Wang Xiyang Luo Z. Li Wei-wei Zhu Zuoqiang Shi Stanley J. Osher 20 3 0 01 Feb 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 22 18 0 03 Jan 2018
Regularization and Optimization strategies in Deep Convolutional Neural Network P. Murugan S. Durairaj 21 47 0 13 Dec 2017