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RE•WORK Deep Learning Summit
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AI Assistant Stage
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Deep Learning Stage
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Computer Vision
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Imitation Learning
Natural Language Processing
Reinforcement Learning
Reinforcement Learning Applied
Search & Recommendations
Startup Sessions
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Environment & Sustainability Stage
Ethics & Social Responsibility Stage
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Thursday
, January 24
Atrium
12:20pm •
LUNCH
Grand Ballroom
9:00am •
Compère Welcome - Deep Learning Stage
9:15am •
Beyond Supervised Driving
9:35am •
Object-oriented Perception and Control
10:00am •
Adversarial Machine Learning
11:05am •
Combining Planning and Learning
11:25am •
Go-Explore: A New Type of Algorithm for Hard-exploration Problems
11:45am •
Deep Learning for Robotics and Robotics for Deep Learning
12:05pm •
Recent Advances From OpenAI
1:30pm •
Probabilistic Deep Ensembles for Predictive Uncertainty Estimation
1:55pm •
Applying ML & NLP in Google Ads
2:20pm •
On-device Neural Networks for Natural Language Processing
2:40pm •
Continuous Object Detection for Conversational Vision
3:00pm •
Advancing State-of-the-art Image Recognition with Deep Learning on Hashtags
4:00pm •
Deeper Things: How Netflix Leverages Deep Learning in Recommendations and Search
4:20pm •
5 Lessons for Improving Training Performance
4:40pm •
The Myth of the interpretable, Robust, Compact and High Performance Deep Neural Network
Grand Ballroom Foyer
8:00am •
REGISTRATION & LIGHT BREAKFAST
10:05am •
COFFEE BREAK
3:20pm •
COFFEE BREAK
5:00pm •
CONVERSATION & DRINKS
Pacific B-C
9:15am •
Compère Welcome - Education & AI Stage
9:25am •
Rising Star Feature: Disrupting Education with ML
9:45am •
Rising Star Feature: Can We Learn to Learn
10:05am •
Rising Star Feature: Transforming Civilization With Quantum Computing
11:00am •
Human Insight Project – 21st Century Education System
11:25am •
Panel: Changemakers in AI - Young People Using AI for Good
1:20pm •
Compère Welcome - Environment & Sustainability Stage
1:30pm •
Computer Vision and Deep Learning for Coral Ecology
1:50pm •
Oscar, AI for Zero Waste
2:10pm •
Adaptation Through Learning:Using Machine Learning to Improve Forest Wildfire Management
2:30pm •
Opportunities and Challenges: AI for the Environment & Sustainability
Pacific D-F
9:05am •
Compère Welcome - AI Assistant Stage
9:15am •
Past, Present, and Future of Conversational AI
9:40am •
Why Aren't Our AI Assistants Smarter?
11:00am •
Dialog Management with a Software 2.0 Stack
11:20am •
Machine Learning for Continuous Improvement
11:40am •
Conversational AI @ Facebook
12:00pm •
Building Customer Service Virtual Agents Faster and Smarter by Analyzing Human-to-human Interactions with ML
1:20pm •
Artificial Training Data: How to Automate Your Bot Training
1:45pm •
Adding Structure to Spoken Language Understanding
2:10pm •
Chatbots: The (Long) Tail Wags the Dog
2:35pm •
Open-Ended Challenges in Dialog Systems
3:00pm •
With Great Dialog Comes Great Responsibility
3:55pm •
Empathy Training 101
4:15pm •
Building Neural Conversational Machines at Scale
4:35pm •
Can an AI Assistant be as Important as the Web or as Mobile?
Pacific G-H
11:25am •
Compère Welcome - Connect Stage
11:35am •
A Hands-on Introduction to Pytorch, Using Text Classification
1:20pm •
Curiosity Driven Learning, a promising strategy in Deep Reinforcement Learning
2:00pm •
Panel: Industry or Academia - Helping Students Decide What Next
2:30pm •
Panel: How do we Encourage Women to Join Careers in STEM and What are the Next Steps?
3:20pm •
Data Science & Business Strategy Alignment – How to Ensure your Killer Tech Delivers Real Value
4:05pm •
Talent & Talk and Skill Swap
Pacific I-K
10:10am •
Compère Welcome - Industry Applications Stage
10:20am •
GE Power Business & Digital Transformation
10:45am •
Breaking Through Challenges in Industry Series: Using Deep Learning to Make Smarter Decisions for Retail Operations - Walmart Case Study
11:15am •
Breaking Through Challenges in Industry Series: OCR at Scale at Dropbox
11:45am •
Breaking Through Challenges in Industry Series: Challenges in Recommendation Systems at Twitter Scale
12:15pm •
Breaking Through Challenges in Industry Closing Panel
1:35pm •
Systems for Feedback and Novelty in Deep Learning: A Case Study From Coursera
2:05pm •
Bringing Research And Production Together With PyTorch 1.0
2:45pm •
Taming the Deep Learning Workflow
Timezone
RE•WORK Deep Learning Summit
America/Los Angeles
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RE•WORK Deep Learning Summit
Jan 23
-
25, 2019
Wednesday
, January 23
Thursday
, January 24
Friday
, January 25
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Hyatt Regency San Francisco, Embarcadero Center, San Francisco, CA, USA
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Wednesday
, January 23
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, January 24
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, January 25
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Atrium
Grand Ballroom
Grand Ballroom Foyer
Pacific B-C
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All
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Imitation Learning
Natural Language Processing
Reinforcement Learning
Reinforcement Learning Applied
Search & Recommendations
Startup Sessions
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Ethics & Social Responsibility Stage
Exhibition Area & Refreshment Breaks
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