Search Results for author: Connor Lane

Found 4 papers, 1 papers with code

A Parameter-efficient Multi-subject Model for Predicting fMRI Activity

1 code implementation4 Aug 2023 Connor Lane, Gregory Kiar

This is the Algonauts 2023 submission report for team "BlobGPT".

On the Regularization Properties of Structured Dropout

no code implementations CVPR 2020 Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele

We also show that the global minimizer for DropBlock can be computed in closed form, and that DropConnect is equivalent to Dropout.

Dropout as a Low-Rank Regularizer for Matrix Factorization

no code implementations13 Oct 2017 Jacopo Cavazza, Pietro Morerio, Benjamin Haeffele, Connor Lane, Vittorio Murino, Rene Vidal

Regularization for matrix factorization (MF) and approximation problems has been carried out in many different ways.

An Analysis of Dropout for Matrix Factorization

no code implementations10 Oct 2017 Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal

While the resulting regularizer is closely related to a variational form of the nuclear norm, suggesting that dropout may limit the size of the factorization, we show that it is possible to trivially lower the objective value by doubling the size of the factorization.

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