Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,124 papers shown

Title
Res2Net: A New Multi-scale Backbone Architecture Shanghua Gao Ming-Ming Cheng Kai Zhao Xinyu Zhang Ming-Hsuan Yang Philip Torr 51 2,361 0 02 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 45 1,297 0 01 Apr 2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar 19 52 0 31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 48 203 0 29 Mar 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 270 0 29 Mar 2019
ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images Jingbo Lin Weipeng Jing Houbing Song Guangsheng Chen 22 45 0 29 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 41 29 0 28 Mar 2019
GAN-based Pose-aware Regulation for Video-based Person Re-identification A. Borgia Yang Hua Elyor Kodirov N. Robertson 26 11 0 27 Mar 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 8 195 0 27 Mar 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 27 36 0 25 Mar 2019
DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Schneider Lukas Balles Philipp Hennig ODL 80 71 0 13 Mar 2019
Accuracy Booster: Performance Boosting using Feature Map Re-calibration Pravendra Singh Pratik Mazumder Vinay P. Namboodiri 11 16 0 11 Mar 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 66 761 0 09 Mar 2019
Inductive Transfer for Neural Architecture Optimization Martin Wistuba Tejaswini Pedapati 23 9 0 08 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers Fergal Cotter N. Kingsbury 23 22 0 07 Mar 2019
Detecting Overfitting via Adversarial Examples Roman Werpachowski András Gyorgy Csaba Szepesvári TDI 31 45 0 06 Mar 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 36 157 0 06 Mar 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi 23 13 0 05 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 25 47 0 04 Mar 2019
CircConv: A Structured Convolution with Low Complexity Siyu Liao Zhe Li Liang Zhao Qinru Qiu Yanzhi Wang Bo Yuan 27 18 0 28 Feb 2019
Nonlinear Approximation via Compositions Zuowei Shen Haizhao Yang Shijun Zhang 33 92 0 26 Feb 2019
Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro H. P. Savarese Michael Maire 36 69 0 26 Feb 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 38 749 0 25 Feb 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions G. Ding Kry Yik-Chau Lui Xiaomeng Jin Luyu Wang Ruitong Huang OOD 26 59 0 22 Feb 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting Jun Shu Qi Xie Lixuan Yi Qian Zhao Sanping Zhou Zongben Xu Deyu Meng NoLa 12 4 0 20 Feb 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent Jaehoon Lee Lechao Xiao S. Schoenholz Yasaman Bahri Roman Novak Jascha Narain Sohl-Dickstein Jeffrey Pennington 57 1,081 0 18 Feb 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning Moran Baruch Gilad Baruch Yoav Goldberg FedML 13 495 0 16 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 50 307 0 15 Feb 2019
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes Ali Hirsa T. Karatas Amir Oskoui 35 26 0 15 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 40 1,682 0 13 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 19 137 0 10 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 21 124 0 09 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 47 801 0 07 Feb 2019
Semi-Supervised Learning by Label Gradient Alignment Jacob Jackson John Schulman 38 20 0 06 Feb 2019
Active Image Synthesis for Efficient Labeling Jialei Chen Yujia Xie Kan Wang Chuck Zhang M. Vannan Ben Wang Z. Qian MedIm 36 11 0 05 Feb 2019
Theoretical evidence for adversarial robustness through randomization Rafael Pinot Laurent Meunier Alexandre Araujo H. Kashima Florian Yger Cédric Gouy-Pailler Jamal Atif AAML 47 82 0 04 Feb 2019
Do We Train on Test Data? Purging CIFAR of Near-Duplicates Björn Barz Joachim Denzler 29 95 0 01 Feb 2019
ColorNet: Investigating the importance of color spaces for image classification Shreyank N. Gowda C. Yuan 23 126 0 01 Feb 2019
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise Mayank Sharma Aayush Yadav Sumit Soman Jayadeva Jayadeva 4 1 0 31 Jan 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 41 319 0 29 Jan 2019
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network Juncai He Jinchao Xu 27 52 0 29 Jan 2019
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks N. Strisciuglio Manuel López-Antequera N. Petkov 11 4 0 29 Jan 2019
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning Tal Ben-Nun Maciej Besta Simon Huber A. Ziogas D. Peter Torsten Hoefler ELM ALM 25 77 0 29 Jan 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 34 723 0 28 Jan 2019
ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks) Harshal Mittal Kartikey Pandey Yash Kant ODL 6 5 0 28 Jan 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 35 72 0 27 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 34 347 0 27 Jan 2019
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration Sangkug Lym Esha Choukse Siavash Zangeneh W. Wen Sujay Sanghavi M. Erez CVBM 12 88 0 26 Jan 2019
On Detecting GANs and Retouching based Synthetic Alterations Anubhav Jain Richa Singh Mayank Vatsa 20 35 0 26 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 82 716 0 25 Jan 2019