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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 110 95 0 03 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 83 40 0 03 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li Rong Jin 84 16 0 03 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 100 560 0 03 Oct 2020
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Xin Qiu Risto Miikkulainen 128 0 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 90 270 0 01 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming Sun Luping Zhou Junjie Yan Wanli Ouyang 89 48 0 30 Sep 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 83 30 0 30 Sep 2020
Attentional Feature Fusion Yimian Dai Fabian Gieseke Stefan Oehmcke Yiquan Wu Kobus Barnard 3DPC 74 651 0 29 Sep 2020
EIS -- a family of activation functions combining Exponential, ISRU, and Softplus Koushik Biswas Sandeep Kumar Shilpak Banerjee A. Pandey 35 2 0 28 Sep 2020
Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang Yi Zhou Li Liu Fan Zhu Ling Shao 108 22 0 28 Sep 2020
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks Gardave S. Bhumbra 39 0 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 113 235 0 28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 176 275 0 27 Sep 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime J. Bornschein Francesco Visin Simon Osindero 65 40 0 26 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 122 53 0 24 Sep 2020
Semantics-Preserving Adversarial Training Won-Ok Lee Hanbit Lee Sang-goo Lee AAML 29 2 0 23 Sep 2020
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training Dingqing Yang Amin Ghasemazar X. Ren Maximilian Golub G. Lemieux Mieszko Lis 71 49 0 23 Sep 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 42 3 0 23 Sep 2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network Nannan Li Yu Pan Yaran Chen Zixiang Ding Dongbin Zhao Zenglin Xu 55 52 0 22 Sep 2020
Feature Distillation With Guided Adversarial Contrastive Learning Tao Bai Jinnan Chen Jun Zhao Bihan Wen Xudong Jiang Alex C. Kot AAML 65 9 0 21 Sep 2020
End-to-End Bengali Speech Recognition S. Mandal Sarthak Yadav A. Rai 32 5 0 21 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 65 11 0 21 Sep 2020
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization Minhui Jin Mengce Zheng Honggang Hu Nenghai Yu AAML 31 15 0 18 Sep 2020
Densely Guided Knowledge Distillation using Multiple Teacher Assistants Wonchul Son Jaemin Na Junyong Choi Wonjun Hwang 88 120 0 18 Sep 2020
Pruning Neural Networks at Initialization: Why are We Missing the Mark? Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin 84 240 0 18 Sep 2020
A Principle of Least Action for the Training of Neural Networks Skander Karkar Ibrahhim Ayed Emmanuel de Bézenac Patrick Gallinari AI4CE 69 10 0 17 Sep 2020
Distributional Generalization: A New Kind of Generalization Preetum Nakkiran Yamini Bansal OOD 85 42 0 17 Sep 2020
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks Xiang Deng Zhongfei Zhang Zhang OOD VLM 11 0 0 17 Sep 2020
EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search Ching-Chen Wang Ching-Te Chiu Jheng-Yi Chang 69 19 0 16 Sep 2020
Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks Chen Ma Shuyu Cheng Li Chen Jun Zhu Junhai Yong AAML 50 7 0 15 Sep 2020
Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach Anastasia Petrova Dominique Vaufreydaz Philippe Dessus 24 12 0 15 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 131 392 0 15 Sep 2020
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images Hussin K. Ragb Ian T. Dover Reda Almahdi Ali Ali 29 4 0 15 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 95 10 0 14 Sep 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 81 14 0 14 Sep 2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning Hao Tan Ran Cheng Shihua Huang Cheng He Changxiao Qiu Fan Yang Ping Luo OOD 78 42 0 14 Sep 2020
One-bit Supervision for Image Classification Hengtong Hu Lingxi Xie Zewei Du Richang Hong Qi Tian SSL VLM 46 16 0 14 Sep 2020
Margin-Based Regularization and Selective Sampling in Deep Neural Networks Berry Weinstein Shai Fine Y. Hel-Or MQ 32 2 0 13 Sep 2020
Manifold attack K. Tran Fred-Maurice Ngole-Mboula Jean-Luc Starck AAML OOD 28 0 0 13 Sep 2020
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization Niluthpol Chowdhury Mithun Karan Sikka Han-Pang Chiu S. Samarasekera Rakesh Kumar 66 16 0 12 Sep 2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation Jiyue Wang Pei Zhang Wenjie Pang Jie Li 23 0 0 11 Sep 2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective Seonguk Park Kiyoon Yoo Nojun Kwak FedML 47 3 0 09 Sep 2020
TanhSoft -- a family of activation functions combining Tanh and Softplus Koushik Biswas Sandeep Kumar Shilpak Banerjee A. Pandey 57 5 0 08 Sep 2020
Binarized Neural Architecture Search for Efficient Object Recognition Hanlin Chen Lian Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu Rongrong Ji David Doermann G. Guo MQ 47 18 0 08 Sep 2020
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima Wonyong Sung Iksoo Choi Jinhwan Park Seokhyun Choi Sungho Shin ODL 58 7 0 05 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu 28 9 0 04 Sep 2020
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning Lyes Khacef Vincent Gripon Benoit Miramond SSL 21 7 0 04 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 90 10 0 04 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 102 2 0 03 Sep 2020