Thoughts from WiML 2015 and NIPS 2015
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Transcript of Thoughts from WiML 2015 and NIPS 2015
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Thoughts from
“Women in Machine Learning 2015”
Jayani Withanawasam
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About me
● Senior Software Engineer at Zaizi R&D● Author of the book “Apache Mahout Essentials” ● Reading for M.Sc. in Artificial Intelligence at
University of Moratuwa● Graduated from Informatics Institute of
Technology (IIT) ● Summit speaker at Alfresco summit 2014 -
London● Did a poster presentation on “Content Extraction
and Context Inference based Information Retrieval” at WIML 2015 - Montreal
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Women in Machine Learning (WiML)● A brief history of WiML
○ Founded in 2006 by,
■ Hanna Wallach - Researcher at Microsoft Research
■ Jenn Wortman Vaughan - Senior Researcher at Microsoft Research
● Objectives
○ Gives female research scientists, and graduate students in the machine
learning community an opportunity to meet, exchange ideas and learn
from each other.
● How I got selected○ Submitted an abstract on machine learning related research project
○ Received travel scholarship to attend the event
○ Zaizi sponsored for conference registration and hotel accommodation
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WiML 2015 Sponsors
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Content Extraction and Context Inference based Information Retrieval
● Information is embedded as different content forms under varied
contexts
● Problem: Lack of human intuition driven relevance assessment
● Novel approach to retrieve right information, regardless of the content
form or contextual discrepancies
● Use of Bag of Visual Words (BoVW) for visual content and semantic
networks
● Outcome: Set of concept and context descriptors for content
● Applications in search indexing, search ranking, recommendations,
automatic tagging and personalized search
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My Poster Presentation
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WiML invited talks ● Superhuman Multitasking - Raia Hadsell, Google
DeepMind
■ Games as a platform to implement and test AI applications. E.g., Atari 2600
■ Deep Q Learning (Reinforcement Learning) with model distillation
● Is it all in the Phrasing?
Lillian Lee, Cornell University
○ Does phrasing affects memorability?
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WiML invited talks (Continued…)
● Interactive and Interpretable Machine Learning Models for Human Machine Collaboration - Been Kim, AI2/University of Washington
○ Bayes Case Model (BCM)
○ Prototypes and subspaces
● Structured Data - Corinna Cortes, Google Research
○ Structured snippets using good tables
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Events I attended
● Facebook Lean In circle
● NVidia deep learning tutorial
○ Demo on DIGITS
● Poster presentations - http://wiml2015.weebly.com/list-of-poster-
presenters.html
● Career/advice session
○ Long-term Career Planning - Lizi Ottens, Apple
○ Work/Life Balance - Amy Greenwald, Brown University
○ Life with Kids - Raia Hadsell, Google DeepMind, Joelle Pineau, McGill
http://wiml2015.weebly.com/list-of-careeradvice-tables.html
http://wiml2015.weebly.com/schedule.html
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Neural Information Processing Systems (NIPS)
● Considered as one of the top conference in Machine
Learning
● Some stats:○ 6 invited talks
○ 403 accepted papers (total of 1838 submissions)
● Highlights○ Deep Learning
■ Use of Convolutional Neural Networks (CNNs) in
Computer Vision
■ Use of Recurrent Neural Networks (RNNs) in Natural
Language Processing (NLP)
● LSTMs (Long Short Term Memory Networks)
1. http://academic.research.microsoft.com/RankList?entitytype=3&topDomainID=2&subDomainID=6
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Q & A
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Thank you