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If you want to get results, you need to think about instructional design and learningtheory. And, there is no shortage of learningtheories and research. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.
Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.
The first of these is the preference structures given by multi-objective RL, where the agent is given multiple reward functions R 1 , R 2 , R 3 , , and has to find a policy that achieves a good trade-off of those rewards according to some specified criterion.
Were interested in funding research that leverages knowledge about the structure of a models activation space to efficiently estimate the probability of some particular rare output, even when that probability is too small to estimate by random sampling. Wen et al. , See this section for more details. See this section for more details.
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And you do some neat little tricks, but its like- Jason Gross (00:04:34): Interval propagation and case analysis. Daniel Filan (00:28:50): If people remember my singular learningtheory episodes , theyll get mad at you for saying that quadratics are all there is, but its a decent approximation. (00:28:56):
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