Fighting over-fitting with quantization for learning deep neural
networks on noisy labels

Fighting over-fitting with quantization for learning deep neural networks on noisy labels

21 March 2023

Gauthier Tallec

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Papers citing "Fighting over-fitting with quantization for learning deep neural networks on noisy labels"

14 / 14 papers shown

Title
PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly MQ 58 16 0 24 Jan 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 68 9 0 08 Jul 2022
Multi-Order Networks for Action Unit Detection Gauthier Tallec Arnaud Dapogny Kévin Bailly CVBM 55 13 0 01 Feb 2022
Fake It Till You Make It: Face analysis in the wild using synthetic data alone Erroll Wood Tadas Baltruvsaitis Charlie Hewitt Sebastian Dziadzio Matthew W. Johnson V. Estellers T. Cashman Jamie Shotton CVBM 65 263 0 30 Sep 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 157 1,021 0 31 Mar 2021
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 421 13,048 0 26 May 2020
Sparsity through evolutionary pruning prevents neuronal networks from overfitting Richard C. Gerum A. Erpenbeck P. Krauss A. Schilling 28 55 0 07 Nov 2019
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment Zhiwen Shao Zhilei Liu Jianfei Cai Lizhuang Ma CVBM 93 175 0 15 Mar 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 156 3,138 0 15 Dec 2017
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 149 2,150 0 14 Nov 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 82 336 0 29 Oct 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation Ling Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Chen MedIm 73 504 0 15 Jun 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,412 0 02 Dec 2015
A Deeper Look at Dataset Bias Tatiana Tommasi Novi Patricia Barbara Caputo Tinne Tuytelaars 99 328 0 06 May 2015

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