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ORCIDYani Ioannou
Person information
- affiliation: University of Calgary, Department of Electrical and Software Engineering, AB, Canada
- affiliation: Google, Toronto, ON, Canada
- affiliation: University of Toronto, Toronto Rehabilitation Institute, Ontario, Canada
- affiliation (PhD 2018): University of Cambridge, Machine Intelligence Lab, UK
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2020 – today
- 2023
[j1]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. 2023 (2023)- [c8]Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang:
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. Canadian AI 2023 - [i10]Mike Lasby
, Anna Golubeva, Utku Evci, Mihai Nica, Yani A. Ioannou:
Dynamic Sparse Training with Structured Sparsity. CoRR abs/2305.02299 (2023) - 2022
- [c7]Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin:
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. AAAI 2022: 6577-6586 - [i9]Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor:
Monitoring Shortcut Learning using Mutual Information. CoRR abs/2206.13034 (2022) - [i8]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR abs/2207.09408 (2022) - 2021
- [i7]Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor:
Domain-Agnostic Clustering with Self-Distillation. CoRR abs/2111.12170 (2021) - 2020
- [i6]Utku Evci, Yani Andrew Ioannou, Cem Keskin, Yann N. Dauphin:
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. CoRR abs/2010.03533 (2020)
2010 – 2019
- 2018
- [b1]Yani Andrew Ioannou:
Structural priors in deep neural networks. University of Cambridge, UK, 2018 - 2017
- [c6]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CVPR 2017: 5977-5986 - 2016
- [c5]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CVPR 2016: 2212-2220 - [c4]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. NIPS 2016: 2613-2621 - [c3]Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi:
Training CNNs with Low-Rank Filters for Efficient Image Classification. ICLR (Poster) 2016 - [i5]Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi:
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - [i4]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CoRR abs/1604.06832 (2016) - [i3]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CoRR abs/1605.06489 (2016) - [i2]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. CoRR abs/1605.07262 (2016) - 2012
- [c2]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds. 3DIMPVT 2012: 501-508 - [i1]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds. CoRR abs/1209.1759 (2012)
2000 – 2009
- 2009
- [c1]Yani Ioannou, Limin Shang, Robin Harrap, Michael A. Greenspan:
Local PotentialWell Space Embedding. ICCV Workshops 2009: 1726-1732
Coauthor Index
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