ExCon: Explanation-driven Supervised Contrastive Learning

Last update: Nov 01, 2022

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Deep Learning ExCon

Overview

ExCon: Explanation-driven Supervised Contrastive Learning

Link to the paper: https://arxiv.org/pdf/2111.14271.pdf

Contributors of this repo:

Zhibo Zhang ([email protected])
Jongseong Jang ([email protected])
Ruiwen Li ([email protected])

Run ExCon:

python3 ExCon/main_supcon.py --epochs=200 --explainer="GradCAM" --dataset="cifar100" --batch_size=256 --method="Ex_SupCon" --learning_rate=0.5 --temp=0.1 --cosine --negative_pair=1 --validation=1 --background_anchor=0 --exp_epochs=0

If you use our code, please cite our paper:

@misc{zhang2021excon,
      title={ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification},
      author={Zhibo Zhang and Jongseong Jang and Chiheb Trabelsi and Ruiwen Li and Scott Sanner and Yeonjeong Jeong and Dongsub Shim},
      year={2021},
      eprint={2111.14271},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Reference Repos:

[1] https://github.com/HobbitLong/SupContrast

ExCon: Explanation-driven Supervised Contrastive Learning

Related tags

Overview

ExCon: Explanation-driven Supervised Contrastive Learning

Link to the paper: https://arxiv.org/pdf/2111.14271.pdf

Contributors of this repo:

Run ExCon:

Reference Repos:

Owner

Zhibo (Darren) Zhang

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ExCon: Explanation-driven Supervised Contrastive Learning

Related tags

Overview

ExCon: Explanation-driven Supervised Contrastive Learning

Link to the paper: https://arxiv.org/pdf/2111.14271.pdf

Contributors of this repo:

Run ExCon:

Reference Repos:

Owner

Zhibo (Darren) Zhang

[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts

PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks

Official repository of the paper Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Repository for training material for the 2022 SDSC HPC/CI User Training Course

The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".

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STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

TensorFlow-based neural network library

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

Dialect classification

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

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Predictive Maintenance LSTM

2021搜狐校园文本匹配算法大赛 分比我们低的都是帅哥队

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