Yani Ioannou

According to our database, Yani Ioannou authored at least 16 papers between 2009 and 2024.

Collaborative distances:

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

2024

What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias.

Aida Mohammadshahi, Yani Ioannou

CoRR, 2024

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems.

Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma Stanley, Roberto Souza, Ronnie Souza, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina Gavrilova, Mariana P. Bento

CoRR, 2024

Dynamic Sparse Training with Structured Sparsity.

Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bounding generalization error with input compression: An empirical study with infinite-width networks.

Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor

Trans. Mach. Learn. Res., 2023

Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks.

Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Monitoring Shortcut Learning using Mutual Information.

Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor

CoRR, 2022

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win.

Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Domain-Agnostic Clustering with Self-Distillation.

Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor

CoRR, 2021

2018

Structural priors in deep neural networks.

Yani Andrew Ioannou

PhD thesis, 2018

2017

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups.

Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Decision Forests, Convolutional Networks and the Models in-Between.

Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi

CoRR, 2016

Training CNNs with Low-Rank Filters for Efficient Image Classification.

Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi

Proceedings of the 4th International Conference on Learning Representations, 2016

Measuring Neural Net Robustness with Constraints.

Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Refining Architectures of Deep Convolutional Neural Networks.

Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2012

Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds.

Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2009

Local PotentialWell Space Embedding.

Yani Ioannou, Limin Shang, Robin Harrap, Michael A. Greenspan

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009