https://arxiv.org/abs/2102.11005

Related tags

Deep LearningLogME
Overview

LogME

LogME: Practical Assessment of Pre-trained Models for Transfer Learning

How to use

Just feed the features f and labels y to the function, and you can get a nice score which well correlates with the transfer learning performance.

from LogME import LogME
score = LogME(f, y)

Then you can use the score to quickly select a good pre-trained model. The larger the score is, the better transfer performance you get.

Experimental results

We extensively validate the generality and superior performance of LogME on 14 pre-trained models and 17 downstream tasks, covering various pre-trained models (supervised pre-trained and unsupervised pre-trained), downstream tasks (classification and regression), and modalities (vision and language). Check the paper for all the results.

Computer vision

9 datasets and 10 pre-trained models. LogME is a reasonably good indicator for transfer performance.

image-20210222204141915

NLP

7 tasks and 4 pre-trained models. LogME is a good indicator for transfer performance.

image-20210222204350389

Speedup

LogME provides a dramatic speedup for assessing pre-trained models. The speedup comes from two aspects:

  • LogME does not need hyper-parameter tuning whereas vanilla fine-tuning requires extensive hyper-parameter tuning.
  • We designed a fast algorithm to further speedup the computation of LogME.

image-20210222204712553

Citation

If you find it useful, please cite the following paper:

@article{you_logme:_2021,
	title = {LogME: Practical Assessment of Pre-trained Models for Transfer Learning},
	author = {You, Kaichao and Liu, Yong and Long, Mingsheng and Wang, Jianmin},
	journal = {arxiv},
	volume = {abs/2102.11005},
	year = {2021},
	url = {https://arxiv.org/abs/2102.11005},
}

Contact

If you have any question or want to use the code, please contact [email protected] .

Owner
THUML: Machine Learning Group @ THSS
Machine Learning Group, School of Software, Tsinghua University
THUML: Machine Learning Group @ THSS
The second project in Python course on FCC

Assignment Write a function named add_time that takes in two required parameters and one optional parameter: a start time in the 12-hour clock format

Denise T 1 Dec 13, 2021
Selective Wavelet Attention Learning for Single Image Deraining

SWAL Code for Paper "Selective Wavelet Attention Learning for Single Image Deraining" Prerequisites Python 3 PyTorch Models We provide the models trai

Bobo 9 Jun 17, 2022
This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

SO-Pose This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation This paper is basically an

shangbuhuan 52 Nov 25, 2022
A cross-document event and entity coreference resolution system, trained and evaluated on the ECB+ corpus.

A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. Introduction This repo contains experimental code derived from

2 May 09, 2022
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition The official code of ABINet (CVPR 2021, Oral).

334 Dec 31, 2022
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers

Benedek Rozemberczki 4.5k Jan 01, 2023
[ACM MM 2021] Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers Installation pip install -r requirements.txt Dataset Preparation Given the

Yingchen Yu 25 Nov 09, 2022
Nerf pl - NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

nerf_pl Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br

AI葵 1.8k Dec 30, 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration

This repo is for the paper: Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration The DAC environment is based on the Dynam

Carola Doerr 1 Aug 19, 2022
Automatic Differentiation Multipole Moment Molecular Forcefield

Automatic Differentiation Multipole Moment Molecular Forcefield Performance notes On a single gpu, using waterbox_31ang.pdb example from MPIDplugin wh

4 Jan 07, 2022
Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration

IMAGINE: Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration This repo contains the code base of the paper Language as a Cog

Flowers Team 26 Dec 22, 2022
Urban mobility simulations with Python3, RLlib (Deep Reinforcement Learning) and Mesa (Agent-based modeling)

Deep Reinforcement Learning for Smart Cities Documentation RLlib: https://docs.ray.io/en/master/rllib.html Mesa: https://mesa.readthedocs.io/en/stable

1 May 15, 2022
Pomodoro timer that acknowledges the inexorable, infinite passage of time

Pomodouroboros Most pomodoro trackers assume you're going to start them. But time and tide wait for no one - the great pomodoro of the cosmos is cold

Glyph 66 Dec 13, 2022
alfred-py: A deep learning utility library for **human**

Alfred Alfred is command line tool for deep-learning usage. if you want split an video into image frames or combine frames into a single video, then a

JinTian 800 Jan 03, 2023
The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

Code for "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval" (ACL 2021, Long) This is the repository for baseline m

Akari Asai 25 Oct 30, 2022
Temporal-Relational CrossTransformers

Temporal-Relational Cross-Transformers (TRX) This repo contains code for the method introduced in the paper: Temporal-Relational CrossTransformers for

83 Dec 12, 2022
TimeSHAP explains Recurrent Neural Network predictions.

TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even

Feedzai 90 Dec 18, 2022
UniFormer - official implementation of UniFormer

UniFormer This repo is the official implementation of "Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning". It curren

SenseTime X-Lab 573 Jan 04, 2023
A universal memory dumper using Frida

Fridump Fridump (v0.1) is an open source memory dumping tool, primarily aimed to penetration testers and developers. Fridump is using the Frida framew

551 Jan 07, 2023
Kaggleship: Kaggle Notebooks

Kaggleship: Kaggle Notebooks This repository contains my Kaggle notebooks. They are generally about data science, machine learning, and deep learning.

Erfan Sobhaei 1 Jan 25, 2022