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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou Mao Ye Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu Dale Schuurmans 63 20 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 115 52 0 01 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 98 39 0 01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 132 549 0 01 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning Dongxian Wu Yisen Wang Zhuobin Zheng Shutao Xia NoLa 43 2 0 01 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 101 486 0 30 Jun 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 114 9 0 30 Jun 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization Rie Johnson Tong Zhang 23 8 0 30 Jun 2020
Classification Confidence Estimation with Test-Time Data-Augmentation Yuval Bahat Gregory Shakhnarovich 57 18 0 30 Jun 2020
On the Demystification of Knowledge Distillation: A Residual Network Perspective N. Jha Rajat Saini Sparsh Mittal 47 4 0 30 Jun 2020
Actionable Attribution Maps for Scientific Machine Learning Shusen Liu B. Kailkhura Jize Zhang A. Hiszpanski Emily Robertson Donald Loveland T. Y. Han 21 1 0 30 Jun 2020
Uniform Priors for Data-Efficient Transfer Samarth Sinha Karsten Roth Anirudh Goyal Marzyeh Ghassemi Hugo Larochelle Animesh Garg OOD 121 0 0 30 Jun 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 86 25 0 29 Jun 2020
Asymmetric metric learning for knowledge transfer Mateusz Budnik Yannis Avrithis 69 35 0 29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Pratik Mazumder Pravendra Singh Vinay P. Namboodiri 72 9 0 29 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 82 176 0 28 Jun 2020
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation Sergi Perez-Castanos Javier Naranjo-Alcazar P. Zuccarello M. Cobos 70 11 0 27 Jun 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 102 140 0 26 Jun 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent Samuel L. Smith Erich Elsen Soham De MLT 62 100 0 26 Jun 2020
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster Andreas Klos Marius Rosenbaum W. Schiffmann 26 3 0 26 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 123 66 0 26 Jun 2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng I. Laradji Ismail Ben Ayed David Vazquez M. Pedersoli 67 36 0 25 Jun 2020
Fully Convolutional Open Set Segmentation Hugo Oliveira C. Silva Gabriel L. S. Machado Keiller Nogueira J. A. dos Santos SSeg 96 28 0 25 Jun 2020
Epoch-evolving Gaussian Process Guided Learning Jiabao Cui Xuewei Li Bin Li Hanbin Zhao Bourahla Omar Xi Li BDL 41 0 0 25 Jun 2020
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks Vikash Sehwag Rajvardhan Oak M. Chiang Prateek Mittal FAtt 64 7 0 24 Jun 2020
Feature-Dependent Cross-Connections in Multi-Path Neural Networks Dumindu Tissera H. W. M. K. Vithanage Rukshan Wijesinghe Kumara Kahatapitiya Subha Fernando Ranga Rodrigo 30 3 0 24 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 77 10 0 24 Jun 2020
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures M. Samarin Volker Roth David Belius 48 3 0 24 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 112 212 0 24 Jun 2020
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks Dharma Teja Vooturi G. Varma Kishore Kothapalli 47 6 0 24 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 113 34 0 23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers Amir M. Rahimi Thomas Mensink Kartik Gupta Thalaiyasingam Ajanthan C. Sminchisescu Leonid Sigal 64 6 0 23 Jun 2020
Calibration of Neural Networks using Splines Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Leonid Sigal 97 109 0 23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
The Depth-to-Width Interplay in Self-Attention Yoav Levine Noam Wies Or Sharir Hofit Bata Amnon Shashua 137 46 0 22 Jun 2020
Effective Version Space Reduction for Convolutional Neural Networks Jiayu Liu Ioannis Chiotellis Rudolph Triebel Zorah Lähner 19 2 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 145 25 0 22 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 55 42 0 20 Jun 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis Stefanos Zafeiriou 89 94 0 20 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 54 7 0 20 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 1.0K 18,531 0 19 Jun 2020
Towards an Adversarially Robust Normalization Approach Muhammad Awais Fahad Shamshad Sung-Ho Bae AAML OOD 114 19 0 19 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 123 48 0 18 Jun 2020
Neural Parameter Allocation Search Bryan A. Plummer Nikoli Dryden Julius Frost Torsten Hoefler Kate Saenko 120 16 0 18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 167 90 0 18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 290 453 0 17 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 175 388 0 17 Jun 2020
Optimizing Grouped Convolutions on Edge Devices Perry Gibson José Cano Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey 55 25 0 17 Jun 2020
Mitosis Detection Under Limited Annotation: A Joint Learning Approach Pushpak Pati A. Foncubierta-Rodríguez Orçun Göksel M. Gabrani 29 6 0 17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance L. Smith A. Conovaloff SSL 75 8 0 16 Jun 2020