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What research area currently excites you? (self.machinelearning)

submitted 1 year ago by radical_action to c/[email protected]

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This is an effort to get some discussion going.

I remember starting grad school and coming across reddit posts with themes like, "What research area will be hot in the next 10 years?", etc. In retrospect, the comments there were not very informed (talk of graphical models and bayesian non-parametrics). But, the heart of these posts is talking about a research area that you find exciting.

So, tell us what research area is currently exciting to you. Are you starting a new job, project, or graduate program to work on it?

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[–] MachinaDoctrina 2 points 1 year ago (3 children)

Graph Neural Networks are by far the coolest advance in DL architectures and it is also quite interesting that Transformers are simply fully connected Graph Attention Network

[–] kraegar 1 points 1 year ago (2 children)

I am really excited about GNNs too. I just submitted my PhD thesis on time series forecasting and anomaly detection for LTE/5G networks and I really think the next big jumps in that space are going to be graph-based.

My post-grad employment is in industry and I have a sneeking suspicion that the company will have me looking at them and I am pumped.

[–] MachinaDoctrina 1 points 1 year ago (1 children)

Would be interested in reading your thesis if your willing to link it or if you don't want to dox yourself can you dm me? (No seriously I'm new to lemmy is that a thing?)

[–] kraegar 1 points 1 year ago

I would love to share it, but I am waiting for two papers based on the work to finish peer review.

Poke me in August!