Pytorch implementation of our paper under review — Lottery Jackpots Exist in Pre-trained Models

Related tags

Deep Learninglottery-jackpots
Overview

Lottery Jackpots Exist in Pre-trained Models (Paper Link)

Requirements

  • Python >= 3.7.4
  • Pytorch >= 1.6.1
  • Torchvision >= 0.4.1

Reproduce the Experiment Results

  1. Download the pre-trained models from this link and place them in the pre-train folder.

  2. Select a configuration file in configs to reproduce the experiment results reported in the paper. For example, to find a lottery jackpot with 30 epochs for pruning 95% parameters of ResNet-32 on CIFAR-10, run:

    python cifar.py --config configs/resnet32_cifar10/90sparsity30epoch.yaml --gpus 0

    To find a lottery jackpot with 30 epochs for pruning 90% parameters of ResNet-50 on ImageNet, run:

    python imagenet.py --config configs/resnet50_imagenet/90sparsity30epoch.yaml --gpus 0

    Note that the data_path in the yaml file should be changed to the data

Evaluate Our Pruned Models

We provide configuration, training logs, and pruned models reported in the paper. They can be downloaded from the provided links in the following table:

Model Dataset Sparsity Epoch Top-1 Acc. Link
VGGNet-19 CIFAR-10 90% 30 93.88% link
VGGNet-19 CIFAR-10 90% 160 93.94% link
VGGNet-19 CIFAR-10 95% 30 93.49% link
VGGNet-19 CIFAR-10 95% 160 93.74% link
VGGNet-19 CIFAR-100 90% 30 72.59% link
VGGNet-19 CIFAR-100 90% 160 74.61% link
VGGNet-19 CIFAR-100 95% 30 71.76% link
VGGNet-19 CIFAR-100 95% 160 73.35% link
ResNet-32 CIFAR-10 90% 30 93.70% link
ResNet-32 CIFAR-10 90% 160 94.39% link
ResNet-32 CIFAR-10 95% 30 92.90% link
ResNet-32 CIFAR-10 95% 160 93.41% link
ResNet-32 CIFAR-100 90% 30 72.22% link
ResNet-32 CIFAR-100 90% 160 73.43% link
ResNet-32 CIFAR-100 95% 30 69.38% link
ResNet-32 CIFAR-100 95% 160 70.31% link
ResNet-50 ImageNet 80% 30 74.53% link
ResNet-50 ImageNet 80% 60 75.26% link
ResNet-50 ImageNet 90% 30 72.17% link
ResNet-50 ImageNet 90% 60 72.46% link

To test the our pruned models, download the pruned models and place them in the ckpt folder.

  1. Select a configuration file in configs to test the pruned models. For example, to evaluate a lottery jackpot for pruning ResNet-32 on CIFAR-10, run:

    python evaluate.py --config configs/resnet32_cifar10/evaluate.yaml --gpus 0

    To evaluate a lottery jackpot for pruning ResNet-50 on ImageNet, run:

    python evaluate.py --config configs/resnet50_imagenet/evaluate.yaml --gpus 0

Owner
Yuxin Zhang
Deep Neural Network Compression & Acceleration
Yuxin Zhang
GitHub Repository
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

HamasKhan 3 Jul 08, 2022
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond

CRF - Conditional Random Fields A library for dense conditional random fields (CRFs). This is the official accompanying code for the paper Regularized

Đ.Khuê Lê-Huu 21 Nov 26, 2022
A simple approach to emable dense segmentation with ViT.

Vision Transformer Segmentation Network This implementation of ViT in pytorch uses a super simple and straight-forward way of generating an output of

HReynaud 5 Jan 03, 2023
Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

Action-Based Conversations Dataset (ABCD) This respository contains the code and data for ABCD (Chen et al., 2021) Introduction Whereas existing goal-

ASAPP Research 49 Oct 09, 2022
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation

PointNav-VO The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation Project Page | Paper Table of Contents Setup

Xiaoming Zhao 41 Dec 15, 2022
Robocop is your personal mini voice assistant made using Python.

Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand

Sohil Khanduja 3 Feb 26, 2022
Repository for self-supervised landmark discovery

self-supervised-landmarks Repository for self-supervised landmark discovery Requirements pytorch pynrrd (for 3d images) Usage The use of this models i

Riddhish Bhalodia 2 Apr 18, 2022
Bunch of different tools which helps visualizing and annotating images for semantic/instance segmentation tasks

Data Framework for Semantic/Instance Segmentation Bunch of different tools which helps visualizing, transforming and annotating images for semantic/in

Bruno Fernandes Carvalho 5 Dec 21, 2022
More than a hundred strange attractors

dysts Analyze more than a hundred chaotic systems. Basic Usage Import a model and run a simulation with default initial conditions and parameter value

William Gilpin 185 Dec 23, 2022
To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types

To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types, from a Database Taken From Dr. Wolberg reports his Clinic Cases.

Astitva Veer Garg 1 Jul 31, 2022
Official PyTorch implementation of the NeurIPS 2021 paper StyleGAN3

Alias-Free Generative Adversarial Networks (StyleGAN3) Official PyTorch implementation of the NeurIPS 2021 paper Alias-Free Generative Adversarial Net

Eugenio Herrera 92 Nov 18, 2022
Adversarial examples to the new ConvNeXt architecture

Adversarial examples to the new ConvNeXt architecture To get adversarial examples to the ConvNeXt architecture, run the Colab: https://github.com/stan

Stanislav Fort 19 Sep 18, 2022
Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y

Munan Ning 36 Dec 07, 2022
Editing a classifier by rewriting its prediction rules

This repository contains the code and data for our paper: Editing a classifier by rewriting its prediction rules Shibani Santurkar*, Dimitris Tsipras*

Madry Lab 86 Dec 27, 2022
Spectrum is an AI that uses machine learning to generate Rap song lyrics

Spectrum Spectrum is an AI that uses deep learning to generate rap song lyrics. View Demo Report Bug Request Feature Open In Colab About The Project S

39 Dec 16, 2022
Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system

Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data

Yash Kumar 0 Jan 20, 2022
Title: Graduate-Admissions-Predictor

The purpose of this project is create a predictive model capable of identifying the probability of a person securing an admit based on their personal profile parameters. Simplified visualisations hav

Akarsh Singh 1 Jan 26, 2022
Texture mapping with variational auto-encoders

vae-textures This is an experiment with using variational autoencoders (VAEs) to perform mesh parameterization. This was also my first project using J

Alex Nichol 41 May 24, 2022
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Demo video: CVPR 2021 Oral: Single Channel Manipulation: Localized or attribu

Zongze Wu 267 Dec 30, 2022
This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks

NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th

189 Nov 16, 2022