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Moloco India's Siddharth Jhawar on unlocking the potential of ML in Indian advertising

Moloco India's Siddharth Jhawar on unlocking the potential of ML in Indian advertising
adgully.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from adgully.com Daily Mail and Mail on Sunday newspapers.

United States , Siddharth Jhawar , Bain Co , Ernst Young , Neural Networks Dnns , General Manager , Moloco India , Machine Learning , Big Tech , Return On Advertising Spend , North Star , Media Partners , With Moloco , Deep Neural Networks , Average Revenue Per User , Lifetime Value , Customer Acquisition Cost , Indian Ad Tech ,

$19M Awarded by Civic Innovation Challenge for Climate Action

$19M Awarded by Civic Innovation Challenge for Climate Action
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

Stetson University , United States , Baylor University , New York , University Of Central Florida , Drexel University , Puerto Rico , West Virginia , Monroe County , Rochester Institute Of Technology , New York University , East Boston , Margaret Martonosi , Hannah Hill , Virginia Tech University , Technology Dimitri Kusnezov , Hard Of Hearing Community In Monroe , Gulf Of Maine Research Institute , Department Of Energy , Coalition Building , Tulane University , Community Resilience , Community Informed Vehicle Technology Simulator , Vanderbilt University , Advocacy Center , Participatory Civic Technology To Close The ,

"Boost Off/On-Manifold Adversarial Robustness for Deep Learning with La" by Mengdie Huang, Yi Xie et al.

Deep neural networks excel at solving intuitive tasks that are hard to describe formally, such as classification, but are easily deceived by maliciously crafted samples, leading to misclassification. Recently, it has been observed that the attack-specific robustness of models obtained through adversarial training does not generalize well to novel or unseen attacks. While data augmentation through mixup in the input space has been shown to improve the generalization and robustness of models, there has been limited research progress on mixup in the latent space. Furthermore, almost no research on mixup has considered the robustness of models against emerging on-manifold adversarial attacks. In this paper, we first design a latent-space data augmentation strategy called dual-mode manifold interpolation, which allows for interpolating disentangled representations of source samples in two modes: convex mixing and binary mask mixing, to synthesize semantic samples. We then propose a resilien ....

Latentrepresentationmixup Larepmixup , Adversarial Attack , Adversarial Robustness , Deep Neural Networks , Representation Learning ,

Application opens for Amazon's free Machine Learning (ML) course, Last date Sep 6

Amazon India has invited applications from Engineering students for the 3rd edition of its Machine Learning (ML) Summer School to be held in September 2023. ....

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Summer school | Amazon India continues to shape future of Machine Learning, launches the 3rd edition of Machine Learning Summer School

Summer school | Amazon India continues to shape future of Machine Learning, launches the 3rd edition of Machine Learning Summer School
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Rajeev Rastogi , Ml Summer School , Machine Learning Ml Summer School , Neural Networks , International Machine , Amazon Ml Summer School , Amazon India , Machine Learning , Summer School , Unsupervised Learning , Deep Neural Networks , Probabilistic Graphical Models , Dimensionality Reduction , Unsupervised Learning , Vice President , International Machine Learning , Machine Learning , Amazon India ,