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Princeton University Researchers Introduce ‘DataMUX’: A Technique That Enables Deep Neural...

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A Princeton University research team proposed Data Multiplexing for Neural Networks in their new study DataMUX: Data Multiplexing for Neural Networks (DataMUX). This new...

AI Research Team From Princeton, Berkeley and ETH Zurich Introduce ‘RLQP’...

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Quadratic programming (QPs) is widely used in various fields, including finance, robotics, operations research, and many others, for large-scale machine learning and embedded optimal...

Researchers From Microsoft and Princeton University Find Text-Based Agents can Achieve...

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Recently, Text-based games have become a popular testing method for developing and testing reinforcement learning (RL). It aims to build autonomous agents that can...

Princeton Student Researcher Proposes Sketch-And-Paint GAN (SAPGAN): A GAN Framework For...

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The emergence and constant refining of Generative Adversarial Networks (GANs) have generated impressive artworks in various styles through AI. A Princeton undergrad student, Alice Xue, has...
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