Search Results for author: Michael L. Wick

Found 4 papers, 0 papers with code

Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data

no code implementations22 Oct 2020 Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan, Adam Pocock, Mark Johnson

Indeed, self-supervised language models trained on "positive" examples of English text generalize in desirable ways to many natural language tasks.

Inductive Bias

Verification of ML Systems via Reparameterization

no code implementations14 Jul 2020 Jean-Baptiste Tristan, Joseph Tassarotti, Koundinya Vajjha, Michael L. Wick, Anindya Banerjee

Proof assistants can be used to formally verify machine learning systems by constructing machine checked proofs of correctness that rule out such bugs.

BIG-bench Machine Learning Fairness +1

Filling in the details: Perceiving from low fidelity images

no code implementations14 Apr 2016 Farahnaz Ahmed Wick, Michael L. Wick, Marc Pomplun

For example, we find that the networks accurately perceive color in the periphery, even when 75\% of the input is achromatic.

Foveation Visual Reasoning

Query-Aware MCMC

no code implementations NeurIPS 2011 Michael L. Wick, Andrew McCallum

Traditional approaches to probabilistic inference such as loopy belief propagation and Gibbs sampling typically compute marginals for it all the unobserved variables in a graphical model.

Computational Efficiency

Cannot find the paper you are looking for? You can Submit a new open access paper.