Buy now

Have you purchased yours? Buy your (Full or Diversity) Pass & get lifetime access to all #CDW21 recs + a spot at our Virtual Center!

Neural Algorithmic Reasoning: Combining Classical Algorithms and Neural Networks

Register to watch this content

By submitting you agree to the Terms & Privacy Policy
Watch this content now

About this talk

Nowadays, using known algorithms to solve a problem or leverging advances in deep learning to tackle it are seen as two orthogonal manners to reach a solution. However, many problems could benefit instead from a combination of the two.

Here, I will present the Neural Algorithmic Reasoning (NAR) direction and how it aims to combine the guarantees and generalization power of the classical algorithms with the adaptability and possibility of working directly with raw data of neural networks. Moreover, I will introduce NAR's successful application to the field of reinforcement learning.

More precisely, I will summarise how a neural network can imitate a dynamic programming planning algorithm, that can guarantee finding optimal solutions, resulting in performance gains especially in low-data environments.

If you’re looking at solving a real-world problem and you think there are heuristics that could be helpful, but not fully solving it and/or that require the data to be thoroughly denoised before being useful, I would say this talk is for you!

Talk+Live Q&A at the Eastern Auditorium in Connected Data World Center

You need an access pass to attend this session: Diversity Access Pass or Full Access Pass apply

Andreea Deac

PhD student in Machine Learning at Mila with Prof Jian Tang. I am broadly interested in how learning can be improved through the use of graph representations, having previously worked on algorithmic alignment for implicit planning and applications to biotechnology (drug discovery and drug combinations).

Have you got yours yet?

Our All-Access Passes are a must if you want to get the most out of this event.

Check them out

Proudly supported by

Want to sponsor this event? contact us.


Loading content...

Loading content...