Throughout the fall semester, the Machine Learning Center at Georgia Tech was fortunate to bring world-class researchers, academics, and industry professionals to Georgia Tech’s campus as a part of our Fall Seminar Series. From using machine learning in retail strategy to few-shot learning to understanding the limitations of artificial intelligence, our guest speakers inspired our students to think differently and keep pushing boundaries.
To see a recording of each talk from this semester, select a talk below.
Pieter Abbeel, UC Berkeley
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Salesforce
Understanding the limitations of AI: When Algorithms Fail
Timnit Gebru, Stanford University
Reaching Beyond Human Accuracy With AI Datacenters
Gregory Daimos, Baidu’s Silicon Valley AI Lab (SVAIL)
Few-shot Learning with Meta-Learning: Progress Made and Challenges Ahead
Hugo Larochelle, Google Brain
Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment
Graham Poliner, Macy’s
The Statistical Foundations of Learning to Control
Benjamin Recht, UC Berkeley
Multimodal, Personable, and Knowledgeable Language Generation
Mohit Bansal, UNC-Chapel Hill
Automated Perception in the Real World: The Problem of Scarce Data
Jan Ernst, Siemens Corporate Research
The Spring Seminar Series begins in January 2019. See dates and speakers here. Additional dates and speakers will be added at a later date.
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