Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models grow in size and expressivity. MIT researchers tackle a persistent problem at its ...

Anuj Tyagi is a seasoned SRE with more than a decade of experience in cloud, AI & cybersecurity. Tech speaker and open-source contributor. In an era of cyberthreats, pandemics and natural disasters, ...

In a land not so far away, but many years ago, a group of men called Tennessee legislators took it upon themselves, in their infinite wisdom, to take away the will of the many and replace it with the ...

Estimating the global Lipschitz constant of neural networks is crucial for understanding and improving their robustness and generalization capabilities. However, precise calculations are NP-hard, and ...

Abstract: A continuity structure of correlations among arms in multi-armed bandit can bring a significant acceleration of exploration and reduction of regret, in particular, when there are many arms.

Thanks for the great repo! I'd like to use your model for a project I'm working on, but have some questions. Any given iResBlock, f(x) needs to be contractive (lipschitz < 1) in order for x + f(x) to ...

Technological innovations have always been a vital aspect of education, with today’s classrooms coming a long way from chalkboards and overhead projectors to the latest in cloud computing and the ...

We propose a strategy for training a wide range of graph neural networks (GNNs) under tight Lipschitz bound constraints. We proposed a constrained-optimization approach to control the constant, ...

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