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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism Zhenkun Cai Kaihao Ma Xiao Yan Yidi Wu Yuzhen Huang James Cheng Teng Su F. Yu 66 45 0 16 Apr 2020
A Hybrid Method for Training Convolutional Neural Networks Vasco Lopes Paulo A. P. Fazendeiro ODL 51 4 0 15 Apr 2020
kDecay: Just adding k-decay items on Learning-Rate Schedule to improve Neural Networks Tao Zhang Wei Li 80 5 0 13 Apr 2020
Adversarial Weight Perturbation Helps Robust Generalization Dongxian Wu Shutao Xia Yisen Wang OOD AAML 60 17 0 13 Apr 2020
Multiresolution Convolutional Autoencoders Yuying Liu Colin Ponce Steven L. Brunton J. Nathan Kutz SyDa 52 31 0 10 Apr 2020
X3D: Expanding Architectures for Efficient Video Recognition Christoph Feichtenhofer 181 1,029 0 09 Apr 2020
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment Qiuyu Chen Wei Zhang Ning Zhou Peng Lei Yi Xu Yu Zheng Jianping Fan 62 77 0 06 Apr 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio Zhengsu Chen J. Niu Lingxi Xie Xuefeng Liu Longhui Wei Qi Tian 54 12 0 06 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen Lu Liu Yong Liu Xianfang Zeng MQ 91 29 0 06 Apr 2020
Temporally Distributed Networks for Fast Video Semantic Segmentation Ping Hu Fabian Caba Heilbron Oliver Wang Zhe Lin Stan Sclaroff Federico Perazzi VOS 88 188 0 03 Apr 2020
Controllable Orthogonalization in Training DNNs Lei Huang Li Liu Fan Zhu Diwen Wan Zehuan Yuan Bo Li Ling Shao 87 44 0 02 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 153 2,789 0 01 Apr 2020
NBDT: Neural-Backed Decision Trees Alvin Wan Lisa Dunlap Daniel Ho Jihan Yin Scott Lee Henry Jin Suzanne Petryk Sarah Adel Bargal Joseph E. Gonzalez 68 106 0 01 Apr 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 75 58 0 31 Mar 2020
Generative Latent Implicit Conditional Optimization when Learning from Small Sample Idan Azuri D. Weinshall VLM CLL 40 4 0 31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 104 208 0 31 Mar 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 136 1,237 0 31 Mar 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 158 1,703 0 30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 69 136 0 30 Mar 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 132 444 0 30 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 21 2 0 29 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 35 2 0 28 Mar 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning Sourya Dey Saikrishna C. Kanala K. Chugg Peter A. Beerel 20 4 0 27 Mar 2020
Strategies for Robust Image Classification Jason Stock Andy Dolan Tom Cavey 28 2 0 26 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 105 323 0 26 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 101 53 0 26 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 80 62 0 25 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 33 34 0 25 Mar 2020
Model-based Asynchronous Hyperparameter and Neural Architecture Search Aaron Klein Louis C. Tiao Thibaut Lienart Cédric Archambeau Matthias Seeger 58 5 0 24 Mar 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 262 19 0 24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 90 13 0 24 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 390 378 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 371 674 0 23 Mar 2020
Architectural Resilience to Foreground-and-Background Adversarial Noise Carl Cheng Evan Hu AAML 23 0 0 23 Mar 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 86 6 0 22 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Leilei Gan Jiwei Li 88 20 0 22 Mar 2020
DP-Net: Dynamic Programming Guided Deep Neural Network Compression Dingcheng Yang Wenjian Yu Ao Zhou Haoyuan Mu G. Yao Xiaoyi Wang 37 6 0 21 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 225 192 0 19 Mar 2020
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing Chawin Sitawarin S. Chakraborty David Wagner AAML 74 40 0 18 Mar 2020
Semi-supervised Contrastive Learning Using Partial Label Information Colin B. Hansen V. Nath Diego A. Mesa Yuankai Huo Bennett A. Landman Thomas A. Lasko SSL 32 0 0 17 Mar 2020
PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer BDL 116 16 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 106 227 0 16 Mar 2020
Resolution Adaptive Networks for Efficient Inference Le Yang Yizeng Han Xi Chen Shiji Song Jifeng Dai Gao Huang 119 219 0 16 Mar 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney Basel Alomair AAML 163 47 0 16 Mar 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 121 13 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Leonid Sigal Byron Boots UQCV 243 70 0 15 Mar 2020
A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems Qingchao Zhang X. Ye Hongcheng Liu Yunmei Chen 31 3 0 15 Mar 2020
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency Guansong Lu Zhiming Zhou Jian Shen Cheng Chen Weinan Zhang Yong Yu OT 63 13 0 14 Mar 2020
On the benefits of defining vicinal distributions in latent space Puneet Mangla Vedant Singh Shreyas Jayant Havaldar V. Balasubramanian AAML 21 3 0 14 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 96 542 0 12 Mar 2020