Increasingly, we’ve seen some moves to combine different aspects of machine learning approaches together. What if we could find a way to train supervised learning approaches using less data? In this podcast hosts Kathleen Walch and Ron Schmelzer will explore Semi-Supervised and One-Shot learning. We’ll define what it is, why it can be helpful, and possible use cases.
- Face Recognition with One-Shot Learning
- Samsung AI lab researchers present a system that can animate heads with one-shot learning
- OpenAI’s new approach for one-shot imitation learning, a peek into the future of AI