Workshop
New in ML
Mélisande Teng · Nishanth Anand · Reyhane Askari Hemmat · Subhrajyoti Dasgupta · Diganta Misra · Beheshteh Toloueirakhshan · Zhen Xu · Isabelle Guyon · Rohan Sukumaran · Zhimeng (Stephen) Jiang
Room 208 - 210
Schedule
Mon 7:00 a.m. - 8:00 a.m.
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Perspectives on knowledge acquisition and mobilization with neural networks
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Keynote
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SlidesLive Video In this talk, I’ll share my thoughts on the state of progress in designing AI systems with neural networks. I’ll frame a perspective that views our success as relying on two separate and equally critical steps, that I refer to as neural knowledge acquisition and neural knowledge mobilization. Then I’ll describe my own research journey from that point of view using various examples, discuss lessons learned and highlight what I think are the opportunities and challenges ahead. |
Hugo Larochelle 🔗 |
Mon 8:00 a.m. - 8:15 a.m.
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Break
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Break
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Mon 8:15 a.m. - 9:15 a.m.
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Winging it: the secret sauce in the face of chaos
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Keynote
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SlidesLive Video Speaker: Been Kim |
Been Kim 🔗 |
Mon 9:15 a.m. - 9:30 a.m.
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Break
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Break
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Mon 9:30 a.m. - 10:30 a.m.
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Slow Science
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Discussion Panel
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SlidesLive Video Panelists: Alexander Rodriguez, Surbhi Goel, David Abel, Devi Parikh |
Milind Tambe · Surbhi Goel · Devi Parikh · David Abel · Alexander Rodríguez 🔗 |
Mon 10:30 a.m. - 11:30 a.m.
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Break
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Break
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Mon 11:30 a.m. - 12:30 p.m.
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Integrating ML+Optimization: Driving Social Impact in public health and conservation
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Talk
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SlidesLive Video For more than 15 years, my team and I have been focused on AI for social impact, deploying end-to-end systems in areas of public health, conservation and public safety. In this talk, I will highlight the results from our deployments for social impact in public health and conservation, as well as required innovations in integrating machine learning and optimization. First in terms of public health, I will present recent results from our work in India with the world’s two largest mobile health programs for maternal and child care that have served millions of beneficiaries. Additionally, I will highlight results from earlier projects on HIV prevention and others. In terms of conservation, I will highlight efforts for protecting endangered wildlife in national parks around the globe. To address challenges of ML+optimizaton common to all of these applications, we have advanced the state of the art in decision focused learning, restless multi-armed bandits, influence maximization in social networks and green security games. In pushing this research agenda, our ultimate goal is to facilitate local communities and non-profits to directly benefit from advances in AI tools and techniques. |
Milind Tambe 🔗 |
Mon 12:30 p.m. - 1:30 p.m.
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The Secret to Advancing Your AI Career in the 2024 Job Market
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Career talk
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SlidesLive Video Speaker: Brian Liou |
Brian Liou 🔗 |
Mon 1:30 p.m. - 1:30 p.m.
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Joint Affinity Groups poster session
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Poster session
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