All topics / multi-task learning
Topic
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Multi-task learning
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episodes
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thinkers
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of conversation
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books & papers
2
terms defined
The neighbourhood: multi-task learning and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
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The lexicon
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What the corpus says
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Neuroevolution optimizes neural networks without backpropagation, leveraging evolution to find efficient architectures.
Risto Miikkulainen · Risto Miikkulainen: Neuroevolution and Evolutionary Computation
Evolutionary computation can lead to surprising discoveries, such as basil thriving without a sleep cycle under continuous light.
Risto Miikkulainen · Risto Miikkulainen: Neuroevolution and Evolutionary Computation
AI systems may evolve communication and social behaviors similar to biological systems, including deception and cooperation.
Risto Miikkulainen · Risto Miikkulainen: Neuroevolution and Evolutionary Computation
Diversity and novelty in evolutionary computation can lead to more effective problem-solving and adaptation over time.
Risto Miikkulainen · Risto Miikkulainen: Neuroevolution and Evolutionary Computation
Voices on multi-task learning
1 standout quotes from across the corpus.
Go read
2 books and papers cited across these episodes.
For the specialist
What experts find new
3 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
1 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.