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[AAAI 2023] An official PyTorch implementation of paper 'READ: Aggregating Reconstruction Error into Out-of-distribution Detection'

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evaluation
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utils
utils
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
detect_cla.py
detect_cla.py
 
 
detect_cla_hybrid.py
detect_cla_hybrid.py
 
 
detect_deconf.py
detect_deconf.py
 
 
detect_deconf_hybrid.py
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rec_dataset.py
rec_dataset.py
 
 
rec_err.py
rec_err.py
 
 
requirements.txt
requirements.txt
 
 
test_cla.py
test_cla.py
 
 
test_cla_hybrid.py
test_cla_hybrid.py
 
 
train_ae.py
train_ae.py
 
 
train_cla.py
train_cla.py
 
 
train_cla_hybrid.py
train_cla_hybrid.py
 
 
train_deconf.py
train_deconf.py
 
 
train_deconf_hybrid.py
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val_detect_cla.py
val_detect_cla.py
 
 
val_detect_deconf.py
val_detect_deconf.py
 
 

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READ

An official PyTorch implementation of AAAI 2023 paper
"READ: Aggregating Reconstruction Error into Out-of-distribution Detection"

       

Get Started • Acknowledgements • Citation

Get Started

Overview

This repository is an official PyTorch implementation of AAAI 2023 paper 'READ: Aggregating Reconstruction Error into Out-of-distribution Detection'. The illustration of our algorithm is shown as below:

Requirements

Training

Evaluation

Results

Snapshots

We provide the trained model.

Acknowledgements

Citation

If you find our repository useful for your research, please consider citing our paper:

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[AAAI 2023] An official PyTorch implementation of paper 'READ: Aggregating Reconstruction Error into Out-of-distribution Detection'

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out-of-distribution-detection trustworthy-ai

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