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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 142 153 0 03 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization Xuefeng Hu Zhihan Zhang Zhenye Jiang Syomantak Chaudhuri Zhenheng Yang Ram Nevatia 3DPC 68 199 0 01 Sep 2020
Unsupervised and Supervised Structure Learning for Protein Contact Prediction S. Sun 48 0 0 31 Aug 2020
Langevin Cooling for Domain Translation Vignesh Srinivasan Klaus-Robert Muller Wojciech Samek Shinichi Nakajima 74 1 0 31 Aug 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation Benlin Liu Yongming Rao Jiwen Lu Jie Zhou Cho-Jui Hsieh 77 37 0 27 Aug 2020
Training robust anomaly detection using ML-Enhanced simulations Philip G. Feldman 30 0 0 27 Aug 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 306 111 0 26 Aug 2020
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA Mohamed Wahib Haoyu Zhang Truong Thao Nguyen Aleksandr Drozd Jens Domke Lingqi Zhang Ryousei Takano Satoshi Matsuoka OODD 78 23 0 26 Aug 2020
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning Yinghua Zhang Yangqiu Song Jian Liang Kun Bai Qiang Yang AAML 79 28 0 25 Aug 2020
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks Brian McClannahan Krushi Patel Usman Sajid Cuncong Zhong Guanghui Wang 29 1 0 24 Aug 2020
Matching Guided Distillation Kaiyu Yue Jiangfan Deng Feng Zhou 53 50 0 23 Aug 2020
Privacy Preserving Recalibration under Domain Shift Rachel Luo Shengjia Zhao Jiaming Song Jonathan Kuck Stefano Ermon Silvio Savarese 54 3 0 21 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 49 9 0 20 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 59 52 0 20 Aug 2020
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs Fareed Qararyah Mohamed Wahib Douga Dikbayir M. E. Belviranli Didem Unat 71 10 0 19 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 86 46 0 19 Aug 2020
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras Asif Sushmit Partho Ghosh Md. Abrar Istiak Nayeeb Rashid Ahsan Habib Akash Taufiq Hasan 23 3 0 19 Aug 2020
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation Anbang Yao Dawei Sun 62 55 0 18 Aug 2020
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization Neha S. Wadia Daniel Duckworth S. Schoenholz Ethan Dyer Jascha Narain Sohl-Dickstein 104 13 0 17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 60 9 0 16 Aug 2020
Domain-specific Communication Optimization for Distributed DNN Training Hao Wang Jingrong Chen Xinchen Wan Han Tian Jiacheng Xia Gaoxiong Zeng Weiyan Wang Kai Chen Wei Bai Junchen Jiang AI4CE 26 16 0 16 Aug 2020
FOOD: Fast Out-Of-Distribution Detector Guy Amit Moshe Levy Ishai Rosenberg A. Shabtai Yuval Elovici OODD 52 4 0 16 Aug 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks Chengcheng Wan H. Hoffmann Shan Lu Michael Maire OOD 71 11 0 15 Aug 2020
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network Weiqing Min Linhu Liu Zhiling Wang Zhengdong Luo Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 81 123 0 13 Aug 2020
Learned Proximal Networks for Quantitative Susceptibility Mapping Kuo-Wei Lai M. Aggarwal P. Zijl Xu Li Jeremias Sulam 63 32 0 11 Aug 2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification R. M. S. Bashir Talha Qaiser S. Raza Nasir M. Rajpoot 27 8 0 11 Aug 2020
Transferring Inter-Class Correlation Hui Wen Yue-bo Wu Chenming Yang Jingjing Li Yue Zhu Xu Jiang H. Duan 16 0 0 11 Aug 2020
Deep learning for photoacoustic imaging: a survey Changchun Yang Hengrong Lan Feng Gao Fei Gao VLM MedIm 59 21 0 10 Aug 2020
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Ziquan Liu Yufei Cui Antoni B. Chan 122 13 0 07 Aug 2020
Few-shot Classification via Adaptive Attention Zihang Jiang Bingyi Kang Kuangqi Zhou Jiashi Feng 56 19 0 06 Aug 2020
Continuous-in-Depth Neural Networks A. Queiruga N. Benjamin Erichson D. Taylor Michael W. Mahoney 109 48 0 05 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 40 4 0 04 Aug 2020
Differentiable Feature Aggregation Search for Knowledge Distillation Yushuo Guan Pengyu Zhao Bingxuan Wang Yuanxing Zhang Cong Yao Kaigui Bian Jian Tang FedML 76 44 0 02 Aug 2020
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware N. Benjamin Erichson D. Taylor Qixuan Wu Michael W. Mahoney AAML 75 13 0 31 Jul 2020
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization Vasco Lopes L. A. Alexandre BDL 18 0 0 31 Jul 2020
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Narain Sohl-Dickstein 87 214 0 31 Jul 2020
flexgrid2vec: Learning Efficient Visual Representations Vectors Ali Hamdi D. Kim Flora D. Salim SSL GNN 90 7 0 30 Jul 2020
ResNet After All? Neural ODEs and Their Numerical Solution Katharina Ott P. Katiyar Philipp Hennig Michael Tiemann 88 31 0 30 Jul 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan Pedro H. P. Savarese Michael Maire 3DPC 59 45 0 30 Jul 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs N. Jha Sparsh Mittal Binod Kumar Govardhan Mattela AAML 66 13 0 30 Jul 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification N. H. Phong B. Ribeiro VLM 71 8 0 30 Jul 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks Jun Shu Yanwen Zhu Qian Zhao Zongben Xu Deyu Meng 75 7 0 29 Jul 2020
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values C. F. G. Santos Danilo Colombo Mateus Roder João Paulo Papa 43 15 0 27 Jul 2020
CSER: Communication-efficient SGD with Error Reset Cong Xie Shuai Zheng Oluwasanmi Koyejo Indranil Gupta Mu Li Yanghua Peng 108 40 0 26 Jul 2020
Neural networks with late-phase weights J. Oswald Seijin Kobayashi Alexander Meulemans Christian Henning Benjamin Grewe João Sacramento 94 35 0 25 Jul 2020
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction Eric Chu D. Roy Jacob Andreas FAtt LRM 81 71 0 23 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness SSL 73 5 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 294 338 0 22 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 74 132 0 22 Jul 2020