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Vincent Michalski

Université de Montréal, Mila

19 papers hereh-index 157.2k citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author13
  • last author2

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV7
  • cs.CL2
  • cs.AI1
  • cs.SC1
affiliations
  • Université de Montréal, Mila
Homepage

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedA Deep Reinforcement Learning Chatbot

200 citations · 731 across the 17 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.CV2017★ 131 cited

FigureQA: An Annotated Figure Dataset for Visual Reasoning

Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson +3

We introduce FigureQA, a visual reasoning corpus of over one million question-answer pairs grounded in over 100,000 images. The images are synthetic, scientific-style figures from…

cs.CL2017★ 200 cited

A Deep Reinforcement Learning Chatbot

Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15

We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capa…

cs.CV2017★ 4 cited

The "something something" video database for learning and evaluating visual common sense

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski +11

Neural networks trained on datasets such as ImageNet have led to major advances in visual object classification. One obstacle that prevents networks from reasoning more deeply abou…

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