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Found 5 papers, 2 papers with code
Wormhole MAML: Meta-Learning in Glued Parameter Space
In this paper, we introduce a novel variation of model-agnostic meta-learning, where an extra multiplicative parameter is introduced in the inner-loop adaptation.
Saved You A Click: Automatically Answering Clickbait Titles
Often clickbait articles have a title that is phrased as a question or vague teaser that entices the user to click on the link and read the article to find the explanation.
Compressed imitation learning
In analogy to compressed sensing, which allows sample-efficient signal reconstruction given prior knowledge of its sparsity in frequency domain, we propose to utilize policy simplicity (Occam's Razor) as a prior to enable sample-efficient imitation learning.
Inverse design of photonic crystals through automatic differentiation
Here, we overcome this through the use of automatic differentiation, which is a generalization of the adjoint variable method to arbitrary computational graphs.
Optics Computational Engineering, Finance, and Science Applied Physics Computational Physics
TunaGAN: Interpretable GAN for Smart Editing
In this paper, we introduce a tunable generative adversary network (TunaGAN) that uses an auxiliary network on top of existing generator networks (Style-GAN) to modify high-resolution face images according to user's high-level instructions, with good qualitative and quantitative performance.
