Towards Biologically Plausible Convolutional Networks

22 June 2021

Papers citing "Towards Biologically Plausible Convolutional Networks"

27 / 27 papers shown

Title
Emergent representations in networks trained with the Forward-Forward algorithm Niccolo Tosato Lorenzo Basile Emanuele Ballarin Giuseppe de Alteriis Alberto Cazzaniga A. Ansuini 46 9 0 26 May 2023
Pay Attention to MLPs Hanxiao Liu Zihang Dai David R. So Quoc V. Le AI4CE 108 659 0 17 May 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 75 660 0 07 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 401 2,658 0 04 May 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 347 6,731 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 532 40,739 0 22 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 194 5,046 0 08 Oct 2020
Towards Learning Convolutions from Scratch Behnam Neyshabur SSL 273 71 0 27 Jul 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 120 35 0 12 Jun 2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias Axel Laborieux M. Ernoult B. Scellier Yoshua Bengio Julie Grollier D. Querlioz 46 73 0 06 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 351 13,002 0 26 May 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin F. Elsayed Prajit Ramachandran Jonathon Shlens Simon Kornblith 54 44 0 07 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 79 430 0 20 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 366 42,299 0 03 Dec 2019
Learning in the Machine: To Share or Not to Share? J. Ott Erik J. Linstead Nicholas LaHaye Pierre Baldi 34 17 0 23 Sep 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias Stéphane dÁscoli Levent Sagun Joan Bruna Giulio Biroli 62 37 0 16 Jun 2019
Deep Learning without Weight Transport Mohamed Akrout Collin Wilson Peter C. Humphreys Timothy Lillicrap D. Tweed CVBM 63 134 0 10 Apr 2019
SGD: General Analysis and Improved Rates Robert Mansel Gower Nicolas Loizou Xun Qian Alibek Sailanbayev Egor Shulgin Peter Richtárik 68 379 0 27 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 73 227 0 20 Jan 2019
Feedback alignment in deep convolutional networks Theodore H. Moskovitz Ashok Litwin-Kumar L. F. Abbott 54 60 0 12 Dec 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 82 243 0 12 Jul 2018
Deep supervised learning using local errors Hesham Mostafa V. Ramesh Gert Cauwenberghs 58 114 0 17 Nov 2017
LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Shun Chen AIMat AI4TS 48 1,102 0 08 Sep 2017
Direct Feedback Alignment Provides Learning in Deep Neural Networks Arild Nøkland ODL 81 454 0 06 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 282 18,587 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014