Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network

17 January 2020

Papers citing "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

33 / 33 papers shown

Title
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 65 0 0 03 Jun 2024
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants Zhongzhi Yu Y. Fu Jiayi Yuan Haoran You Yingyan Lin 18 1 0 23 Jun 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 29 2 0 03 Jan 2023
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing Dongning Ma Pengfei Zhao Xun Jiao 19 0 0 23 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 27 6 0 20 Sep 2022
UFO: Unified Feature Optimization Teng Xi Yifan Sun Deli Yu Bi Li Nan Peng ... Haocheng Feng Junyu Han Jingtuo Liu Errui Ding Jingdong Wang 32 10 0 21 Jul 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 11 0 0 13 Jun 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 22 13 0 09 May 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results T. Ridnik Hussam Lawen Emanuel Ben-Baruch Asaf Noy 31 11 0 07 Apr 2022
Improving generalization with synthetic training data for deep learning based quality inspection Antoine Cordier Pierre Gutierrez Victoire Plessis 16 2 0 25 Feb 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 16 106 0 26 Oct 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 19 6 0 20 Oct 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 17 9 0 20 Oct 2021
Network Augmentation for Tiny Deep Learning Han Cai Chuang Gan Ji Lin Song Han 15 29 0 17 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 487 0 01 Oct 2021
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training Dominic Masters A. Labatie Zach Eaton-Rosen Carlo Luschi 14 11 0 07 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 168 686 0 22 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 9 41 0 02 Apr 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph 27 297 0 13 Mar 2021
Sequential Random Network for Fine-grained Image Classification Chaorong Li Malu Zhang Wei Huang Feng-qing Qin Anping Zeng Yuanyuan Huang 14 0 0 12 Mar 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 88 0 22 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 260 179 0 17 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 107 46 0 29 Jan 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 270 979 0 27 Jan 2021
Classification and understanding of cloud structures via satellite images with EfficientUNet Tashin Ahmed Noor Hossain Nuri Sabab 8 37 0 27 Sep 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 26 457 0 30 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 30 238 0 19 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 8 395 0 12 Jun 2020
ResNeSt: Split-Attention Networks Hang Zhang Chongruo Wu Zhongyue Zhang Yi Zhu Haibin Lin ... Tong He Jonas W. Mueller R. Manmatha Mu Li Alex Smola 25 1,460 0 19 Apr 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures Alex Karbachevsky Chaim Baskin Evgenii Zheltonozhskii Yevgeny Yermolin F. Gabbay A. Bronstein A. Mendelson 11 11 0 19 Apr 2020
TResNet: High Performance GPU-Dedicated Architecture T. Ridnik Hussam Lawen Asaf Noy Emanuel Ben-Baruch Gilad Sharir Itamar Friedman OOD 18 211 0 30 Mar 2020
Curriculum By Smoothing Samarth Sinha Animesh Garg Hugo Larochelle 8 7 0 03 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 216 1,398 0 04 Dec 2018