This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Last update: Dec 26, 2022

Related tags

Overview

Pruning Self-attentions into Convolutional Layers in Single Path

This is the official repository for our paper: Pruning Self-attentions into Convolutional Layers in Single Path by Haoyu He, Jing liu, Zizheng Pan, Jianfei Cai, Jing Zhang, Dacheng Tao and Bohan Zhuang.

Introduction:

To reduce the massive computational resource consumption for ViTs and add convolutional inductive bias, our SPViT prunes pre-trained ViT models into accurate and compact hybrid models by pruning self-attentions into convolutional layers. Thanks to the proposed weight-sharing scheme between self-attention and convolutional layers that cast the search problem as finding which subset of parameters to use, our SPViT has significantly reduced search cost.

Getting started:

In this repository, we provide code for pruning two representative ViT models.

SPViT-DeiT that prunes DeiT. Please see SPViT_DeiT/README.md for details.
SPViT-Swin that prunes Swin. Please see SPViT_Swin/README.md for details.

If you find our paper useful, please consider cite:

@article{he2021Pruning,
  title={Pruning Self-attentions into Convolutional Layersin Single Path},
  author={He, Haoyu and Liu, Jing and Pan, Zizheng and Cai, Jianfei and Zhang, Jing and Tao, Dacheng and Zhuang, Bohan},
  journal={arXiv preprint arXiv:2111.11802},
  year={2021}
}

This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin

107 Apr 20, 2022

Official pytorch code for "APP: Anytime Progressive Pruning"

APP: Anytime Progressive Pruning Diganta Misra1,2,3, Bharat Runwal2,4, Tianlong Chen5, Zhangyang Wang5, Irina Rish1,3 1 Mila - Quebec AI Institute,2 L

12 Nov 22, 2022

CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"

Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Implementation of CoSMA: Convolutional Semi-Regular Mesh Autoencoder arXiv p

10 Oct 11, 2022

Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"

PixelSynth: Generating a 3D-Consistent Experience from a Single Image (ICCV 2021) Chris Rockwell, David F. Fouhey, and Justin Johnson [Project Website

95 Nov 22, 2022

The repository offers the official implementation of our paper in PyTorch.

Cloth Interactive Transformer (CIT) Cloth Interactive Transformer for Virtual Try-On Bin Ren1, Hao Tang1, Fanyang Meng2, Runwei Ding3, Ling Shao4, Phi

49 Dec 1, 2022

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Codebase for training transformers on systematic generalization datasets. The official repository for our EMNLP 2021 paper The Devil is in the Detail:

57 Nov 21, 2022

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

8 Dec 8, 2022

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks (paper) By Qing-Long Zhang and Yu-Bin Yang [State Key Laboratory for Novel Software T

199 Jan 8, 2023

PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

HAN PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network" This repository is for HAN introduced in the

140 Nov 23, 2022

This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Related tags

Overview

Pruning Self-attentions into Convolutional Layers in Single Path

Introduction:

Getting started:

You might also like...

This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

Official pytorch code for "APP: Anytime Progressive Pruning"

CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"

Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"

The repository offers the official implementation of our paper in PyTorch.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

Releases(1.0)

1.0(Dec 4, 2021)

Owner

Zhuang AI Group

An Unbiased Learning To Rank Algorithms (ULTRA) toolbox

Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper

Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight

Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

🤗 Paper Style Guide

DeRF: Decomposed Radiance Fields

This is a repository with the code for the ACL 2019 paper

Doing the asl sign language classification on static images using graph neural networks.

BridgeGAN - Tensorflow implementation of Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.

Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

The project page of paper: Architecture disentanglement for deep neural networks [ICCV 2021, oral]

Chinese clinical named entity recognition using pre-trained BERT model

Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

Vertex AI: Serverless framework for MLOPs (ESP / ENG)

Irrigation controller for Home Assistant

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Models, datasets and tools for Facial keypoints detection