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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction Yunmei Chen Hongcheng Liu X. Ye Qingchao Zhang 165 23 0 22 Jul 2020
Improving compute efficacy frontiers with SliceOut Pascal Notin Aidan Gomez Joanna Yoo Y. Gal 21 1 0 21 Jul 2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Xian Zhong Cheng Gu Wenxin Huang Lin Li Shuqin Chen Chia-Wen Lin SSL 39 12 0 21 Jul 2020
How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu MU 56 1 0 21 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 141 161 0 21 Jul 2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation Sarath Shekkizhar Antonio Ortega 33 6 0 20 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 97 47 0 20 Jul 2020
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget Guillaume Coiffier G. B. Hacene Vincent Gripon 64 2 0 20 Jul 2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision Xiangtai Li Xia Li Li Zhang Guangliang Cheng Jianping Shi Zhouchen Lin Shaohua Tan Yunhai Tong 255 259 0 20 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 106 10 0 18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 65 58 0 17 Jul 2020
Neural Networks with Recurrent Generative Feedback Yujia Huang James Gornet Sihui Dai Zhiding Yu T. Nguyen Doris Y. Tsao Anima Anandkumar AAML GAN 70 41 0 17 Jul 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 52 79 0 17 Jul 2020
Hybrid Discriminative-Generative Training via Contrastive Learning Hao Liu Pieter Abbeel SSL 80 40 0 17 Jul 2020
Knowledge Distillation in Deep Learning and its Applications Abdolmaged Alkhulaifi Fahad Alsahli Irfan Ahmad FedML 49 80 0 17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 73 166 0 17 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 76 6 0 17 Jul 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design Shusen Liu B. Kailkhura Jize Zhang A. Hiszpanski Emily Robertson Donald Loveland T. Y. Han 27 2 0 16 Jul 2020
A New Look at Ghost Normalization Neofytos Dimitriou Ognjen Arandjelovic 138 8 0 16 Jul 2020
On Power Laws in Deep Ensembles E. Lobacheva Nadezhda Chirkova M. Kodryan Dmitry Vetrov UQCV 75 40 0 16 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 76 81 0 16 Jul 2020
When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan Timothy M. Henry Jamell Dozier Helen Ho Nishchal Bhandari Tomotake Sasaki F. Durand Hanspeter Pfister Xavier Boix OOD 124 25 0 15 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons P. Micaelli Amos Storkey 121 15 0 15 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 127 66 0 15 Jul 2020
Representation Transfer by Optimal Transport Xuhong Li Yves Grandvalet Rémi Flamary Nicolas Courty Dejing Dou OT 66 8 0 13 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 114 27 0 13 Jul 2020
Locality Guided Neural Networks for Explainable Artificial Intelligence Randy Tan N. Khan L. Guan 24 8 0 12 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 66 7 0 11 Jul 2020
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks Shreyas Padhy Zachary Nado Jie Jessie Ren J. Liu Jasper Snoek Balaji Lakshminarayanan UQCV 88 47 0 10 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 118 616 0 09 Jul 2020
Learning to Prune Deep Neural Networks via Reinforcement Learning Manas Gupta Siddharth Aravindan Aleksandra Kalisz V. Chandrasekhar Lin Jie VLM OffRL 45 14 0 09 Jul 2020
Learning to Reweight with Deep Interactions Yang Fan Yingce Xia Lijun Wu Shufang Xie Weiqing Liu Jiang Bian Tao Qin Xiang-Yang Li 76 9 0 09 Jul 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 81 17 0 08 Jul 2020
A Critical Evaluation of Open-World Machine Learning Liwei Song Vikash Sehwag A. Bhagoji Prateek Mittal AAML 73 9 0 08 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 78 4 0 08 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 89 58 0 08 Jul 2020
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH) Yuqing Li Yaoyu Zhang N. Yip 55 5 0 07 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input H. M. D. Kabir Moloud Abdar S. M. Jalali Abbas Khosravi A. Atiya S. Nahavandi D. Srinivasan AI4CE 77 139 0 07 Jul 2020
DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training Weiyan Wang Cengguang Zhang Liu Yang Kai Chen Kun Tan 75 12 0 07 Jul 2020
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks Doyup Lee Yeongjae Cheon 35 6 0 07 Jul 2020
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows Ivana Balazevic Carl Allen Timothy M. Hospedales 53 0 0 06 Jul 2020
Black-box Adversarial Example Generation with Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 49 3 0 06 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design Zhou Daquan Qibin Hou Yunpeng Chen Jiashi Feng Shuicheng Yan 83 203 0 05 Jul 2020
Deep Active Learning via Open Set Recognition J. Mandivarapu Blake Camp Rolando Estrada BDL VLM UQCV EDL DRL 64 8 0 04 Jul 2020
Knowledge Distillation Beyond Model Compression F. Sarfraz Elahe Arani Bahram Zonooz 76 42 0 03 Jul 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification Bin Wang Bing Xue Mengjie Zhang 84 55 0 03 Jul 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision Yifei Wang Dan Peng Furui Liu Zhenguo Li Zhitang Chen Jiansheng Yang AAML 31 1 0 02 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh Alex Schwing 168 97 0 02 Jul 2020
Outlier Detection through Null Space Analysis of Neural Networks Matthew Cook A. Zare P. Gader 65 19 0 02 Jul 2020
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization? Yaniv Blumenfeld D. Gilboa Daniel Soudry ODL 96 14 0 02 Jul 2020