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Contrastive Representation Learning

The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning.
Contrastive Training Objectives In early versions of loss functions for contrastive learning, only one positive and one negative sample are involved. ....

Prannay Khosla , Wang Isola , Salakhutdinov Hinton , Jason Wei , Ekind Cubuk , Lajanugen Logeswaran , Phillip Isola , Dmitry Kalenichenko , Tianyu Gao , Yazhe Li Oriol Vinyals , Joshua Robinson , Logeswaran Lee , Ching Yao Chuang , Monte Carlo , Geoffrey Hinton , Mathilde Caron , Florian Schroff , Iryna Gurevych , Geoff Hinton , Cutmix Yun , Nicolas Papernot , Aapo Hyv , Bohan Li , Dinghan Shen , Sumit Chopra , Wei Zou ,

Contrastive Representation Learning

Contrastive Representation Learning
lilianweng.github.io - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from lilianweng.github.io Daily Mail and Mail on Sunday newspapers.

Prannay Khosla , Wang Isola , Salakhutdinov Hinton , Jason Wei , Ekind Cubuk , Lajanugen Logeswaran , Phillip Isola , Dmitry Kalenichenko , Tianyu Gao , Yazhe Li Oriol Vinyals , Joshua Robinson , Logeswaran Lee , Ching Yao Chuang , Monte Carlo , Geoffrey Hinton , Mathilde Caron , Florian Schroff , Iryna Gurevych , Geoff Hinton , Cutmix Yun , Nicolas Papernot , Aapo Hyv , Deepcluster Caron , Bohan Li , Dinghan Shen , Sumit Chopra ,

GitHub - exadel-inc/CompreFace: Free and open-source face recognition system from Exadel

Overview
CompreFace is a face detection and recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.
Our approach to face detection and recognition is based on FaceNet and InsightFace libraries that use deep neural networks. CompreFace provides a convenient REST API for training algorithms to detect and recognize faces from your collection of images (aka Face Collection). The solution also features a role management system that allows you to easily control who has access to your Face Collection. ....

United States , Christian Szegedy , Florian Schroff , Sergey Ioffe , Uricomponent John , Dmitry Kalenichenko , Zhanpeng Zhang , Zhifeng Li , Vincent Vanhoucke , Convolutional Neural Networks Kaipeng Zhang , Face Collection , Face Collections List , All Saved , Call Examples , Face Collections , Compreface Works Under , Unified Embedding , Face Recognition , Clustering Florian Schroff , James Philbin , Face Detection , Residual Connections , Learning Christian Szegedy , Alex Alemi , Contributor License Agreement , ஒன்றுபட்டது மாநிலங்களில் ,