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

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

Owner

Zhibo (Darren) Zhang

Master in ML @ UToronto | R&D @ Google Brain TensorFlow Team (GSoC '20)

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ExCon: Explanation-driven Supervised Contrastive Learning

Related tags

Overview

ExCon: Explanation-driven Supervised Contrastive Learning

Contributors of this repo:

Run ExCon:

Reference Repos:

Owner

Zhibo (Darren) Zhang

Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021

A Python implementation of the Locality Preserving Matching (LPM) method for pruning outliers in image matching.

OpenAi's gym environment wrapper to vectorize them with Ray

Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI)

A web application that provides real time temperature and humidity readings of a house.

AsymmetricGAN - Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

[ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences forImage-Text Retrieval

HyperaPy: An automatic hyperparameter optimization framework ⚡🚀

Source code for paper "Deep Diffusion Models for Robust Channel Estimation", TBA.

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

[CVPR 2022] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

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Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction

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