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A Visual Stepping Stone to AI A Visual Stepping Stone to AI

A Visual Stepping Stone to AI - PowerPoint Presentation

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A Visual Stepping Stone to AI - PPT Presentation

Larry Zitnick Facebook AI Research 1984 Neocognitron 1983 Recognition 1984 2016 Data GPUs Backprop Neocognitron 1983 AlexNet 2012 Recognition 1984 2016 Data GPUs Backprop Recognition ID: 585734

learning 2016 1984 recognition 2016 learning recognition 1984 data visual backprop arxiv 2048 supervised gpus unsupervised image cvpr reasoning reinforcement cat mary

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Presentation Transcript

Slide1
Slide2

A Visual Stepping Stone to AI

Larry Zitnick

Facebook AI ResearchSlide3

1984

Neocognitron

, 1983

Recognition?Slide4

1984

2016

Data

GPUs

Backprop

Neocognitron

, 1983

AlexNet

, 2012

RecognitionSlide5

1984

2016

Data

GPUs

Backprop

Recognition

2048

AI Slide6

1984

2016

Data

GPUs

Backprop

Recognition

2048

AI

More data

More compute

BackpropSlide7

A man riding a wave on a surfboard in the water.

A giraffe standing in the grass next to a tree.

Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation, Chen and Zitnick, CVPR 2015.Slide8

A man riding a

motorcycle on a beach.

An airplane is parked on the

tarmac at an airport.

Building Machines That Learn and Think Like People,

Lake et al., ArXiv 1604.00289, 2016Slide9

MIRRORSlide10

1984

2016

Data

GPUs

Backprop

Recognition

2048

AI

More Data

More Compute

BackpropSlide11

1984

2016

Data

GPUs

Backprop

Recognition

AI ? Slide12

LEARNINGSlide13

I didn’t look closely but I think there’s a cat.

There is a cat in this image.

I’m not telling you anything!!!

I’ll give you a $

1

if you find a cat image.

Supervised

Semi-supervised

Unsupervised

ReinforcementSlide14

SupervisedSlide15

Semi-supervised learning

A store display that has a lot of bananas on sale.

A

yellow

Vespa parked in a lot with other cars.Slide16

fence

pink

Unlikely

Likely

Learning Visual Classifiers using Human-centric Annotations Misra et al., CVPR 2016Slide17

Reinforcement learning

MazeBase

:

A sandbox for experimenting with reinforcement learning, reasoning, and planning.

MazeBase: A Sandbox for Learning From GamesSukhbaatar

et al., arXiv, 2016Slide18

Unsupervised learning

Correct

Wrong

Unsupervised Learning using Sequential Verification for Action Recognition, Misra et al.,

arXiv

, 2016Slide19

REASONING

Visual

^Slide20

Mary went to the hallway.

John moved to the bathroom.

Mary travelled to the kitchen.

Where is Mary? Dialog-based Language Learning, Weston, ArXiv 1604.06045, 2016

UNDERSTANDINGSlide21

Learning Physical Intuition of Block Towers by Example

Lerer

et al., arXiv 1603.01312, 2016

PREDICTINGSlide22

We Are Humor Beings: Understanding and Predicting Visual Humor,

Chandrasekaran et al., CVPR 2016

DATASlide23

Visual Question Answering

MEASURING

VQA: Visual Question Answering

Antol

et al., ICCV 2015

Is this a vegetarian pizza?

Does this person have 20/20 vision?Slide24

Looking forwardSlide25

1984

2016

Data

GPUs

Backprop

Recognition

2048

AI

Learning

ReasoningSlide26

1984

2016

Data

GPUs

Backprop

Recognition

Reasoning

2048

AI

LearningSlide27

1984

2016

Recognition

20**

AI

Learning

ReasoningSlide28

Facebook AI Research