Metalearning-symposium.ml
- Title
- Metalearning Symposium
- Meta Description
- Several approaches to metalearning have emerged, including those based on Bayesian optimization, gradient descent, reinforcement learning, and evolutionary computation. The symposium presents an overview of these approaches, given by the researchers who developed them. Panel discussion compares the strengths of the different approaches and potential for future developments and applications. The audience will thus obtain a practical understanding of how to use metalearning to improve the learning systems they are using, as well as opportunities for research on metalearning in the future.
- Meta Keywords
- metalearning, machine learning, ai, aritificial intelligence, NIPS, Neural Information Processing Systems, nips 2017, Risto Miikkulainen, metalearning symposium, meta-learning, meta learning, Bayesian optimization, gradient descent, reinforcement learning, evolutionary computation, research
- Technologies in use
- jQuery, Typekit