Deep Networks with Stochastic Depth

30 March 2016

Gao Huang

Papers citing "Deep Networks with Stochastic Depth"

50 / 477 papers shown

Title
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 21 134 0 25 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 482 0 17 Feb 2020
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition Wenhao Wu Dongliang He Xiao Tan Shifeng Chen Yi Yang Shilei Wen 24 35 0 09 Feb 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 19 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 43 395 0 11 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 61 2,362 0 11 Nov 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 31 369 0 28 Oct 2019
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior William Hoiles Vikram Krishnamurthy Kunal Pattanayak CML 27 25 0 24 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 27 91 0 29 Sep 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 21 21 0 26 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 43 584 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 26 16 0 09 Sep 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 49 828 0 25 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 44 0 10 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 27 50 0 29 Jul 2019
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks Zehui Lin Pengfei Liu Luyao Huang Junkun Chen Xipeng Qiu Xuanjing Huang 3DPC 16 44 0 25 Jul 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 23 328 0 26 Jun 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 35 122 0 23 Jun 2019
Fine-grained Optimization of Deep Neural Networks Mete Ozay ODL 14 1 0 22 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 27 844 0 17 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 331 4,691 0 13 May 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition Ngoc-Quan Pham T. Nguyen Jan Niehues Markus Müller Sebastian Stüker A. Waibel 23 161 0 30 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 26 80 0 29 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
DeepCaps: Going Deeper with Capsule Networks Jathushan Rajasegaran Vinoj Jayasundara S. Jayasekara Hirunima Jayasekara Suranga Seneviratne Ranga Rodrigo 3DPC 17 192 0 21 Apr 2019
Effective and Efficient Dropout for Deep Convolutional Neural Networks Shaofeng Cai Jinyang Gao Gang Chen Beng Chin Ooi Wei Wang Meihui Zhang BDL 18 53 0 06 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 25 19 0 03 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 44 3,112 0 19 Feb 2019
RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections V. Varshaneya S. Balasubramanian Darshan Gera 21 13 0 16 Feb 2019
On Residual Networks Learning a Perturbation from Identity Michael Hauser 27 4 0 11 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 53 2,268 0 17 Jan 2019
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation Jiawei Zhang Yuzhen Jin Jilan Xu Xiaowei Xu Yanchun Zhang SSeg MedIm AI4CE 22 116 0 02 Dec 2018
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 38 22 0 22 Nov 2018
Building Efficient Deep Neural Networks with Unitary Group Convolutions Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang 21 28 0 19 Nov 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 35 57 0 18 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 22 42 0 15 Nov 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 24 0 0 19 Oct 2018
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network Fnu Mohbat Numan Khurshid M. Taj 26 15 0 15 Oct 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection Wenchi Ma Yuanwei Wu Zongbo Wang Guanghui Wang ObjD 24 25 0 06 Sep 2018
Training Deeper Neural Machine Translation Models with Transparent Attention Ankur Bapna Mengzhao Chen Orhan Firat Yuan Cao Yonghui Wu 29 138 0 22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 57 429 0 22 Aug 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 100 16,142 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 27 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 35 425 0 07 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 18 134 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 29 54 0 30 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 30 159 0 29 May 2018