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Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Collections of self-supervised methods, based on cvpods.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

A Clustering Based Classification Algorithm

This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning.

Classification ⭐ 8

Classification of the MNIST dataset using various Deep Learning techniques

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