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GTC ON-DEMAND

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Abstract:
Learn about deep active learning and how it's been successfully applied to the autonomous vehicle project at NVIDIA. We'll discuss aspects of our work on learning from limited labels for autonomous vehicle and other datasets, and outline the importance of advanced data-driven methods to build datasets. We'll also describe our plans for research in learning from limited labels and optimal construction of datasets. In addition, our talk will touch on more recent and exploratory experiments toward optimal construction of training sets for today's deep neural network models and other machine learning and AI methods.
Learn about deep active learning and how it's been successfully applied to the autonomous vehicle project at NVIDIA. We'll discuss aspects of our work on learning from limited labels for autonomous vehicle and other datasets, and outline the importance of advanced data-driven methods to build datasets. We'll also describe our plans for research in learning from limited labels and optimal construction of datasets. In addition, our talk will touch on more recent and exploratory experiments toward optimal construction of training sets for today's deep neural network models and other machine learning and AI methods.  Back
 
Topics:
Advanced AI Learning Techniques, Autonomous Vehicles
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9613
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Abstract:
We'll discuss ongoing work at NVIDIA on deep active learning. Attendees can expect to learn what active learning is and some of the challenges of applying it to deep neural network training.
We'll discuss ongoing work at NVIDIA on deep active learning. Attendees can expect to learn what active learning is and some of the challenges of applying it to deep neural network training.  Back
 
Topics:
AI & Deep Learning Research, Advanced AI Learning Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8692
Streaming:
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