Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
동영상
Safe and Robust Autonomous Flight in Challenging Conditions
Autonomy holds a great promise by improving the applications, safety, and efficiency of flight. If little operator input is necessary, unmanned rotorcraft have a wide range of applications ranging from cargo delivery to inspection. Currently…
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Generalizing Convolutions for Deep Learning
Arguably, most excitement about deep learning revolves around the performance of convolutional neural networks and their ability to automatically extract useful features from signals. In this talk I will present work from AMLAB where we…
이벤트
Frontiers in AI – Max Welling
Frontiers in Artificial Intelligence is a series of public lectures at Microsoft Research Cambridge featur-ing leading researchers in the field, focusing on the cutting edge topics at the intersection of machine learning, statistics, and…
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From GANs to Variational Divergence Minimization
An important problem in achieving general artificial intelligence is the data-efficient learning of representations suitable for causal reasoning, planning, and decision making. Learning such representations from unsupervised data is challenging and requires flexible models to…
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Learning to Code: Machine Learning for Program Induction
The task of synthesizing programs given only example input-output behaviour is experiencing a surge of interest in the machine learning community. We present two directions for applying machine learning ideas to this task. First we…
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Bayesian optimisation in many dimensions with bespoke models
Bayesian optimisation (BO) is an optimisation method which incrementally builds a statistical model of the objective function to refine its search. Unfortunately, due to the curse of dimensionality, BO can fail to converge in problems…
