Connor Lane

According to our database, Connor Lane authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Connor Lane, Gregory Kiar

CoRR, 2023

2020

On the Regularization Properties of Structured Dropout.

Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Adaptive Online k-Subspaces with Cooperative Re-Initialization.

Connor Lane, Benjamin D. Haeffele, René Vidal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Classifying and Comparing Approaches to Subspace Clustering with Missing Data.

Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Dropout as a Low-Rank Regularizer for Matrix Factorization.

Jacopo Cavazza, Pietro Morerio, Benjamin D. Haeffele, Connor Lane, Vittorio Murino, René Vidal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Reduced Left Lateralization of Language in Congenitally Blind Individuals.

Connor Lane, Shipra Kanjlia, Hilary Richardson, Anne Fulton, Akira Omaki, Marina Bedny

J. Cogn. Neurosci., 2017

An Analysis of Dropout for Matrix Factorization.

Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, René Vidal

CoRR, 2017