Anthony Platanios

Berkeley Way West, Floor 7
1919 Shattuck Ave
Berkeley, CA, 94704
I am a Principal Researcher at Microsoft Semantic Machines, working at the intersection of Machine Learning and Natural Language Processing. I am currently leading a team working on a project related to user behavior modeling that cannot yet be shared publicly. Previously, I designed and shipped a contextual semantic parser that powers the Semantic Machines conversational AI platform. I also worked on other related research projects leading to multiple academic publications.

Prior to this, I was a PhD student in the Machine Learning Department of the School of Computer Science at Carnegie Mellon University. My advisor was Tom Mitchell and I worked on Never-Ending Learning. My PhD thesis on learning collections of functions can be found here. Throughout my PhD I also worked on multiple other projects related to artificial intelligence and machine learning.

Before I joined CMU, I graduated with an M.Eng. in Electrical and Electronic Engineering from Imperial College London. For my Master's thesis I proposed a way to use topic modelling methods in order to perform human motion classification.


May 3, 2019

Organizing the Adaptive & Multi-Task Learning workshop at ICML 2019.

May 2, 2019

Organizing the Learning with Limited Labeled Data workshop at ICLR 2019.

Oct 25, 2018

Released a new version of TensorFlow Scala that finally introduces type-safety throughout the graph construction process including autodiff.

Dec 1, 2017

Attending NIPS 2017 and presenting some of our work on estimating accuracy.

Nov 20, 2017

Organizing the Learning with Limited Labeled Data workshop at NIPS 2017.

May 26, 2017

Open sourced the TensorFlow Scala library.

Jul 29, 2016

Received the Carnegie Mellon University Presidential Fellowship.