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I am a research scientist with broad interests in machine learning and artificial intelligence. My work on large scale learning and stochastic gradient algorithms has received attention in the recent years. I am also known for the DjVu document compression system. I joined Facebook AI Research in March 2015.

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Rob Schapire and David Blei gave me the opportunity to teach the cos424 course at Princeton University for the spring 2010 semester. In fact Rob is on sabbatical leave at Yahoo! and David is parenting. Running the orphan course was a useful experience. One thousand slides later, I am really eager to see the student projects…

2010/04/29 23:00

Semantic Extraction with a Neural Network Architecture

Use BLAS, not PERL!

It is the nineties again. Ronan Collobert from NEC Labs just released a noncommercial version of his neural network system for semantic extraction. Given an input sentence in plain english, Senna outputs a host of Natural Language Processing (NLP) tags: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), and semantic role labeling (SRL). Senna does this with state-of-the-art accuracies, roughly two hundred times faster than competing approaches.

The Senna source code represents about 2000 lines of C. This is probably one thousand times smaller than your usual natural language processing program. In fact all the Senna tagging tasks are performed using the same neural network simulation code.

Download Senna here. A Senna paper has been submitted to JMLR.

2010/02/16 10:16


The SGDQN paper has been published on the JMLR site. This variant of stochastic gradient got very good results during the first PASCAL Large Scale Learning Challenge. The paper gives a lot of explanation on the design of the algorithm. Source code is available from Antoine's web site.

2009/08/07 10:32

ICML 2009

ICML 2009 took place in June. Michael Littman and I were the program co-chairs. Since we were expecting a lot of work, we tried to make it interesting by experimenting with a number of changes in the review process. Read more for a little explanation and a few conclusions…

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2009/07/24 12:31
start.txt · Last modified: 2018/08/21 16:35 by leonb

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