Search Results for author: Ryan Smith

Found 4 papers, 0 papers with code

Overparameterization Improves StyleGAN Inversion

no code implementations12 May 2022 Yohan Poirier-Ginter, Alexandre Lessard, Ryan Smith, Jean-François Lalonde

We show that this allows us to obtain near-perfect image reconstruction without the need for encoders nor for altering the latent space after training.

Image Reconstruction

Language Models in the Loop: Incorporating Prompting into Weak Supervision

no code implementations4 May 2022 Ryan Smith, Jason A. Fries, Braden Hancock, Stephen H. Bach

Our experimental evaluation shows that prompting large language models within a weak supervision framework can provide significant gains in accuracy.

The relationship between dynamic programming and active inference: the discrete, finite-horizon case

no code implementations17 Sep 2020 Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl Friston, Ryan Smith

In this paper, we consider the relation between active inference and dynamic programming under the Bellman equation, which underlies many approaches to reinforcement learning and control.

Decision Making reinforcement-learning

In-Session Personalization for Talent Search

no code implementations18 Sep 2018 Sahin Cem Geyik, Vijay Dialani, Meng Meng, Ryan Smith

Previous efforts in recommendation of candidates for talent search followed the general pattern of receiving an initial search criteria and generating a set of candidates utilizing a pre-trained model.

online learning

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