Revisiting ResNets: Improved Training and Scaling Strategies

13 March 2021

Xianzhi Du

Papers citing "Revisiting ResNets: Improved Training and Scaling Strategies"

26 / 26 papers shown

Title
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency Haruna Yunusa Qin Shiyin Abdulrahman Hamman Adama Chukkol Isah Bello A. Lawan Isah Bello 31 3 0 10 Jul 2024
Just How Flexible are Neural Networks in Practice? Ravid Shwartz-Ziv Micah Goldblum Arpit Bansal C. B. Bruss Yann LeCun Andrew Gordon Wilson 19 4 0 17 Jun 2024
Semi-supervised Quality Evaluation of Colonoscopy Procedures I. Kligvasser G. Leifman Roman Goldenberg Ehud Rivlin Michael Elad 8 0 0 17 May 2023
How to Use Dropout Correctly on Residual Networks with Batch Normalization Bum Jun Kim Hyeyeon Choi Hyeonah Jang Donggeon Lee Sang Woo Kim 8 7 0 13 Feb 2023
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 14 34 0 06 Oct 2022
Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann C. Gros 14 26 0 29 Sep 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 9 15 0 14 Jul 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 15 6,062 0 06 Jul 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 8 25 0 29 May 2022
Masterful: A Training Platform for Computer Vision Models S. Wookey Yaoshiang Ho Thomas D. Rikert Juan David Gil Lopez Juan Manuel Munoz Beancur ... Ray Tawil Aaron Sabin Jack Lynch Travis Harper Nikhil Gajendrakumar VLM 6 0 0 21 May 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 23 8 0 02 Apr 2022
Disentangling Architecture and Training for Optical Flow Deqing Sun Charles Herrmann F. Reda Michael Rubinstein David Fleet William T. Freeman 3DPC OOD 53 33 0 21 Mar 2022
Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography Satoshi Kondo Satoshi Kasai Kosuke Hirasawa 12 2 0 24 Feb 2022
How Do Vision Transformers Work? Namuk Park Songkuk Kim ViT 11 462 0 14 Feb 2022
Learning strides in convolutional neural networks Rachid Riad O. Teboul David Grangier Neil Zeghidour 14 41 0 03 Feb 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 15 4,920 0 10 Jan 2022
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP Jihao Liu Hongsheng Li Guanglu Song Xin Huang Yu Liu ViT 18 35 0 08 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 29 114 0 05 Oct 2021
Landslide Detection in Real-Time Social Media Image Streams Ferda Ofli Muhammad Imran U. Qazi J. Roch C. Pennington V. Banks R. Bossu 13 13 0 03 Oct 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 260 165 0 17 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 450 0 11 Feb 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 204 1,275 0 04 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016