Search Results for author: Lisa Schut

Found 9 papers, 3 papers with code

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

no code implementations25 Oct 2023 Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim

Artificial Intelligence (AI) systems have made remarkable progress, attaining super-human performance across various domains.

Game of Chess

Diversifying AI: Towards Creative Chess with AlphaZero

no code implementations17 Aug 2023 Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh

In particular, we investigate whether a team of diverse AI systems can outperform a single AI in challenging tasks by generating more ideas as a group and then selecting the best ones.

Decision Making Game of Chess

A Bayesian Perspective on Training Speed and Model Selection

no code implementations NeurIPS 2020 Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk

This provides two major insights: first, that a measure of a model's training speed can be used to estimate its marginal likelihood.

Model Selection

Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search

no code implementations28 Sep 2020 Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal

Reliable yet efficient evaluation of generalisation performance of a proposed architecture is crucial to the success of neural architecture search (NAS).

Model Selection Neural Architecture Search

Speedy Performance Estimation for Neural Architecture Search

2 code implementations NeurIPS 2021 Binxin Ru, Clare Lyle, Lisa Schut, Miroslav Fil, Mark van der Wilk, Yarin Gal

Reliable yet efficient evaluation of generalisation performance of a proposed architecture is crucial to the success of neural architecture search (NAS).

Model Selection Neural Architecture Search

Capsule Networks -- A Probabilistic Perspective

no code implementations7 Apr 2020 Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk

'Capsule' models try to explicitly represent the poses of objects, enforcing a linear relationship between an object's pose and that of its constituent parts.

Object

Model-based Saliency for the Detection of Adversarial Examples

no code implementations25 Sep 2019 Lisa Schut, Yarin Gal

Adversarial perturbations cause a shift in the salient features of an image, which may result in a misclassification.

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