https://www.quantamagazine.org/new-neural-networks-solve-hardest-equations-faster-than-ever-20210419/ Latest Neural Nets Solve World’s Hardest Equations Faster Than Ever BeforeAnil AnanthaswamyContributing WriterApril 19, 2021 “Two new approaches allow deep neural networks to solve entire families of partial differential
What I Read: Adversarial Neural Cryptography
https://pub.towardsai.net/what-is-adversarial-neural-cryptography-70b461c7db88?gi=3bf97cbeefd What is Adversarial Neural Cryptography?The novel approach combines GANs and cryptography in a single, powerful security method.Jesus RodriguezApr 19 “Somewhere between anonymization methods and homomorphic encryption, we find a
What I Read: Branch Specialization
https://distill.pub/2020/circuits/branch-specialization/ Branch SpecializationChelsea VossGabriel GohNick CammarataMichael PetrovLudwig SchubertChris OlahApril 5, 2021DOI 10.23915/distill.00024.008 “Branch specialization occurs when neural network layers are split up into branches. The neurons and circuits tend to
What I Read: Visualizing Weights
https://distill.pub/2020/circuits/visualizing-weights/ Visualizing WeightsChelsea VossNick CammarataGabriel GohMichael PetrovLudwig SchubertBen EganSwee Kiat LimChris OlahFeb. 4, 2021DOI 10.23915/distill.00024.007 “The problem of understanding a neural network is a little bit like reverse engineering a
What I Read: Why machine learning struggles with causality
https://bdtechtalks.com/2021/03/15/machine-learning-causality/ Why machine learning struggles with causalityBen DicksonMarch 15, 2021 “Why do machine learning models fail at generalizing beyond their narrow domains and training data?”
What I Read: Deep Learning Recommendation Models
https://www.kdnuggets.com/2021/04/deep-learning-recommendation-models-dlrm-deep-dive.html Deep Learning Recommendation Models (DLRM): A Deep DiveBy Nishant Kumar, Data Science Professional. “This deep dive article presents the architecture and deployment issues experienced with the deep learning recommendation
What I Read: AutoML, Multi-task learning, Multi-tower models, Ads
https://medium.com/pinterest-engineering/how-we-use-automl-multi-task-learning-and-multi-tower-models-for-pinterest-ads-db966c3dc99e How we use AutoML, Multi-task learning and Multi-tower models for Pinterest AdsPinterest EngineeringAug 19, 2020Ernest Wang | Software Engineer, Ads Ranking “In this blog post, we explain how key