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Mat Kelcey
Works at Google
Lives in San Francisco Bay Area
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Mat Kelcey

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Language Understanding for Text-based Games Using Deep Reinforcement Learning
Abstract: In this paper, we consider the task of learning control policies for text-based games. In these games, all interactions in the virtual world are through text and the underlying state is not observed. The resulting language barrier makes such environments challenging for automatic game ...
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Mat Kelcey

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A Neural Conversational Model
Abstract: Conversational modeling is an important task in natural language understanding and machine intelligence. Although previous approaches exist, they are often restricted to specific domains (e.g., booking an airline ticket) and require hand-crafted rules. In this paper, we present a ...
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Mat Kelcey

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Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Abstract: Recurrent Neural Networks can be trained to produce sequences of tokens given some input, as exemplified by recent results in machine translation and image captioning. The current approach to training them consists in maximizing the likelihood of each token in the sequence given the ...
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Teaching Machines to Read and Comprehend
Abstract: Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until now large scale training and test datasets have been missing ...
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Large-scale Simple Question Answering with Memory Networks
Abstract: Training large-scale question answering systems is complicated because training sources usually cover a small portion of the range of possible questions. This paper studies the impact of multitask and transfer learning for simple question answering; a setting for which the reasoning ...
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Mat Kelcey

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Mat Kelcey

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Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Abstract: Most tasks in natural language processing can be cast into question answering (QA) problems over language input. We introduce the dynamic memory network (DMN), a unified neural network framework which processes input sequences and questions, forms semantic and episodic memories, ...
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A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition
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A Recurrent Latent Variable Model for Sequential Data
Abstract: In this paper, we explore the inclusion of random variables into the dynamic latent state of a recurrent neural network (RNN) by combining elements of the variational autoencoder. We argue that through the use of high-level latent random variables, our variational RNN (VRNN) is able to ...
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Learning to Transduce with Unbounded Memory
Abstract: Recently, strong results have been demonstrated by Deep Recurrent Neural Networks on natural language transduction problems. In this paper we explore the representational power of these models using synthetic grammars designed to exhibit phenomena similar to those found in real ...
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you know what a killer app for Google glass would be? find the dropped piece of Lego in this picture... +Charles Mendis
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it was black and I did find it eventually :)
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Mat's Collections
People
In their circles
285 people
Have them in circles
314 people
Adriene Santos's profile photo
Fiona Siseman's profile photo
Francisco J. Aguirre's profile photo
Arseniy Potapov's profile photo
Pramod Kumar's profile photo
Ben Loxton's profile photo
Neil Kodner's profile photo
Shao Hong Peh's profile photo
Siva Palakurthi's profile photo
Work
Occupation
Software Engineer
Skills
Machine learning, natural language processing, information retrieval, distributed systems.
Employment
  • Google
    Software Engineer, present
  • Wavii
    Software Engineer
  • Amazon Web Services
    Software Engineer
  • Lonely Planet
    Software Engineer
  • Sensis
    Software Engineer
  • Distra
    Software Engineer
  • Nokia
    Software Engineer
  • Australian Stock Exchange
    Software Engineer
Basic Information
Gender
Decline to State
Story
Tagline
data nerd wannabe
Introduction
I work in the Machine Intelligence group at Google building as-large-as-I-can-get neural networks for knowledge extraction.
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Currently
San Francisco Bay Area
Previously
seattle - melbourne - calgary - london - sydney - hobart
Links
Contributor to
Mat Kelcey's +1's are the things they like, agree with, or want to recommend.
Clive Barker - Google Play
market.android.com

Clive Barker is an English author, film director, video game designer and visual artist best known for his work in both fantasy and horror f

Aphex Twin - Music on Google Play
market.android.com

Richard David James, best known by his stage name Aphex Twin, is a British electronic musician and composer. He has been described by The Gu

Chess Tactics Pro (Puzzles)
market.android.com

Get better at chess with this large collection of chess puzzles for all levels !This tactic trainer lets you practice in 3 different modes :

Google Search
market.android.com

Google Search app for Android: The fastest, easiest way to find what you need on the web and on your device.* Quickly search the web and you

NetHack
market.android.com

This is an Android port of NetHack: a classic roguelike game originally released in 1987.Main features ------------- * User-friendly interfa

Improving Photo Search: A Step Across the Semantic Gap
googleresearch.blogspot.com

Posted by Chuck Rosenberg, Image Search Team Last month at Google I/O, we showed a major upgrade to the photos experience: you can now easil

Machine Learning - Stanford University
ml-class.org

A bold experiment in distributed education, "Machine Learning" will be offered free and online to students worldwide during the fa

Game Theory
www.game-theory-class.org

Game Theory is a free online class taught by Matthew Jackson and Yoav Shoham.

Probabilistic Graphical Models
www.pgm-class.org

Probabilistic Graphical Models is a free online class taught by Daphne Koller.

RStudio
rstudio.org

News. RStudio v0.94 Available (6/15/2011). RStudio v0.94 is now available. In this release we've made lots of enhancements based on the

Hadoop 0.20.205.0 API
hadoop.apache.org

Frame Alert. This document is designed to be viewed using the frames feature. If you see this message, you are using a non-frame-capable web

Shapecatcher.com: Unicode Character Recognition
shapecatcher.com

You need to find a specific Unicode Character? With Shapecatcher.com you can search through a database of characters by simply drawing your

Duncan & Sons Automotive Service Center
plus.google.com

Duncan & Sons Automotive Service Center hasn't shared anything on this page with you.

Natural Language Processing
www.nlp-class.org

Natural Language Processing is a free online class taught by Chris Manning and Dan Jurafsky.

name value description hadoop.tmp.dir /tmp/hadoop-${user.name} A ...
hadoop.apache.org

name, value, description. hadoop.tmp.dir, /tmp/hadoop-${user.name}, A base for other temporary directories. hadoop.native.lib, true, Should

Apache OpenNLP Developer Documentation
incubator.apache.org

Written and maintained by the Apache OpenNLP Development Community. Version 1.5.2-incubating. Copyright © , The Apache Software Foundation.

ggplot.
had.co.nz

ggplot. An implementation of the grammar of graphics in R. Check out the documentation for ggplot2 - the next generation. ggplot is an imple

ChainMapper (Hadoop 0.20.1 API)
hadoop.apache.org

public class ChainMapper; extends Object; implements Mapper. The ChainMapper class allows to use multiple Mapper classes within a single Map

Neural net language models - Scholarpedia
www.scholarpedia.org

A language model is a function, or an algorithm for learning such a function, that captures the salient statistical characteristics of the d

tech stuff by mat kelcey
www.matpalm.com

my nerd blog. latent semantic analysis via the singular value decomposition (for dummies). semi supervised naive bayes. statistical synonyms

Public - a year ago
reviewed a year ago
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