v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 78 8 0 31 May 2020
Pseudo-Representation Labeling Semi-Supervised Learning Song-Bo Yang Tian-li Yu 93 3 0 31 May 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 51 2 0 30 May 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 115 91 0 30 May 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 135 183 0 28 May 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitch Hill Jonathan Mitchell Song-Chun Zhu AAML 92 72 0 27 May 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras Shibani Santurkar Logan Engstrom Andrew Ilyas Aleksander Madry 83 135 0 22 May 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 142 75 0 20 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 122 151 0 20 May 2020
Encryption Inspired Adversarial Defense for Visual Classification Maungmaung Aprilpyone Hitoshi Kiya 56 32 0 16 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset C. Qiu Xiaochong Tong M. Schmitt B. Bechtel Xiaoxiang Zhu 82 54 0 16 May 2020
Transformation Based Deep Anomaly Detection in Astronomical Images E. Reyes P. Estévez 77 12 0 15 May 2020
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach J. H. Alves L. F. Oliveira 38 5 0 15 May 2020
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? Nadezhda Chirkova E. Lobacheva Dmitry Vetrov OOD MoE 51 9 0 14 May 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 105 215 0 14 May 2020
PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li Edward Hanson H. Li Yiran Chen 48 19 0 14 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu Zhe Xu Runbin Shi R. Cheung Hayden Kwok-Hay So 62 121 0 14 May 2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation Philipp Oberdiek Matthias Rottmann G. Fink 73 30 0 14 May 2020
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks Chunjie Luo Jianfeng Zhan Lei Wang Wanling Gao 137 1 0 14 May 2020
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks Ning Zhang Jingen Liu Ke Wang Dan Zeng Tao Mei 51 7 0 13 May 2020
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Yingxue Xu Guihua Wen Yang Hu Mingnan Luo Dan Dai Y. Zhuang Wendy Hall 37 36 0 13 May 2020
deepSELF: An Open Source Deep Self End-to-End Learning Framework Tomoya Koike Kun Qian Björn W. Schuller Yoshiharu Yamamoto SLR HAI 29 3 0 11 May 2020
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 291 97 0 08 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 76 121 0 08 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 75 153 0 06 May 2020
On the Benefits of Models with Perceptually-Aligned Gradients Gunjan Aggarwal Abhishek Sinha Nupur Kumari M. Singh AAML 70 16 0 04 May 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 112 378 0 02 May 2020
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 88 78 0 02 May 2020
When Ensembling Smaller Models is More Efficient than Single Large Models Dan Kondratyuk Mingxing Tan Matthew A. Brown Boqing Gong 50 35 0 01 May 2020
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images Brian D. Goodwin Corey Jaskolski Can Zhong Herick Asmani OOD 83 28 0 30 Apr 2020
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks Lian Zhuo Baochang Zhang Hanlin Chen Linlin Yang Chong Chen Y. Zhu David Doermann MQ 23 1 0 30 Apr 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 78 71 0 30 Apr 2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning Sanyou Wu Xingdong Feng Fan Zhou 31 4 0 29 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 94 125 0 27 Apr 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 26 3 0 26 Apr 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 66 25 0 26 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 42 1 0 26 Apr 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 77 31 0 25 Apr 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning Zhongzhan Huang Wenqi Shao Xinjiang Wang Liang Lin Ping Luo 75 56 0 24 Apr 2020
SIPA: A Simple Framework for Efficient Networks Gihun Lee Sangmin Bae Jaehoon Oh Seyoung Yun 19 1 0 24 Apr 2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices Chunhua Deng Siyu Liao Yi Xie Keshab K. Parhi Xuehai Qian Bo Yuan 83 93 0 23 Apr 2020
Live Trojan Attacks on Deep Neural Networks Robby Costales Chengzhi Mao R. Norwitz Bryan Kim Junfeng Yang AAML 120 22 0 22 Apr 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 81 55 0 21 Apr 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures Alex Karbachevsky Chaim Baskin Evgenii Zheltonozhskii Yevgeny Yermolin F. Gabbay A. Bronstein A. Mendelson 87 11 0 19 Apr 2020
Role-Wise Data Augmentation for Knowledge Distillation Jie Fu Xue Geng Zhijian Duan Bohan Zhuang Xingdi Yuan Adam Trischler Jie Lin C. Pal Hao Dong 72 15 0 19 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 65 73 0 18 Apr 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning Zhengyang Feng Qianyu Zhou Qiqi Gu Xin Tan Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 46 176 0 18 Apr 2020
Finding the Optimal Network Depth in Classification Tasks Bartosz Wójcik Maciej Wołczyk Klaudia Bałazy Jacek Tabor 24 0 0 17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 117 35 0 17 Apr 2020
Spatially Attentive Output Layer for Image Classification Ildoo Kim Woonhyuk Baek Sungwoong Kim 35 25 0 16 Apr 2020