@inproceedings{pote2024classification,title={Classification Bias on a Data Diet},abbr={CPAL},venue={{Hong Kong}},eventdate={2024-01-03/2024-02-06},author={Pote, Tejas and Adnan, Mohammed and Yargic, Yigit and Ioannou, Yani},booktitle={Conference on Parsimony and Learning (Recent Spotlight Track)},year={2024},url={https://openreview.net/pdf?id=7n6CQrcJI9},poster={https://www.calgaryml.com/assets/pdf/Classification_Bias_on_a_Data_Diet_Poster.pdf},bibtex_show={true},selected={true}}
@inproceedings{lasby2024srigl,author={Lasby, Mike and Golubeva, Anna and Evci, Utku and Nica, Mihai and Ioannou, Yani},booktitle={{International Conference on Learning Representations (ICLR)}},abbr={ICLR},venue={{Vienna, Austria}},eventdate={2024-05-07/2024-05-11},title={Dynamic Sparse Training with Structured Sparsity},year={2024},arxivid={2305.02299},eprint={2305.02299},eprinttype={arXiv},bibtex_show={true},selected={true}}
2023
TMLR
Bounding generalization error with input compression: An empirical study with infinite-width networks
Galloway, Angus, Golubeva, Anna, Salem, Mahmoud, Nica, Mihai, Ioannou, Yani A., and Taylor, Graham W.
Transactions on Machine Learning Research (TMLR) 2023
@article{galloway2023bounding,author={Galloway, Angus and Golubeva, Anna and Salem, Mahmoud and Nica, Mihai and Ioannou, Yani A. and Taylor, Graham W.},title={Bounding generalization error with input compression: An empirical
study with infinite-width networks},journal={Transactions on Machine Learning Research (TMLR)},volume={2023},year={2023},url={https://openreview.net/forum?id=jbZEUtULft},arxivid={2207.09408},eprint={2207.09408},eprinttype={arXiv},abbr={TMLR},bibtex_show={true}}
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
Mohammadizadeh, Mahdi, Mozhdehi, Arash, Ioannou, Yani, and Wang, Xin
In 36th Canadian Conference on Artificial Intelligence, Canadian AI, CANAI 2023, Montreal, Canada, June 5-9, 2023, Proceedings, 2023
@inproceedings{DBLP:conf/ai/MohammadizadehM23,author={Mohammadizadeh, Mahdi and Mozhdehi, Arash and Ioannou, Yani and Wang, Xin},editor={Soares, Am{\'{\i}}lcar and Zulkernine, Farhana H. and Dividino, Renata and Rabbany, Reihaneh and Ye, Qiang and Beach, David and Ali, Karim},title={Meta-GCN: {A} Dynamically Weighted Loss Minimization Method for Dealing
with the Data Imbalance in Graph Neural Networks},booktitle={36th Canadian Conference on Artificial Intelligence, Canadian AI,
{CANAI} 2023, Montreal, Canada, June 5-9, 2023, Proceedings},publisher={Canadian Artificial Intelligence Association},year={2023},url={https://doi.org/10.21428/594757db.0041f830},doi={10.21428/594757DB.0041F830},bibtex_show={true}}
@inproceedings{evci2022gradientflowsparse,author={{Evci}, Utku and {Ioannou}, Yani A. and {Keskin}, Cem and {Dauphin}, Yann},title={{Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win}},year={2022},booktitle={Proceedings of the 36th AAAI Conference on Artificial Intelligence},abbr={AAAI},venue={Vancouver, BC, Canada},eventdate={2022-02-22/2022-03-1},month=feb,arxivid={2010.03533},eprint={2010.03533},eprinttype={arXiv},poster={https://doi.org/10.5281/zenodo.6047581},bibtex_show={true},selected={true}}
SNN
Condensing Sparse Layers
Golubeva, Anna, Lasby, Mike, Ioannou, Yani, and Nica, Mihai
In 2nd Workshop on Sparsity in Neural Networks, Virtual Jul 2022
@inproceedings{golubeva2022condensed,author={Golubeva, Anna and Lasby, Mike and Ioannou, Yani and Nica, Mihai},title={Condensing Sparse Layers},year={2022},booktitle={2nd Workshop on Sparsity in Neural Networks},month=jul,day={13},eventdate={2022-07-13},venue={Virtual},bibtex_show={true},abbr={SNN},poster={https://drive.google.com/open?id=1QQRPaFDhyEZEVKEZ73AJdP2ISDgYdu5F}}
ICML
Monitoring Shortcut Learning using Mutual Information
Adnan, Mohammed, Ioannou, Yani, Tsai, Chuan-Yung, Galloway, Angus, Tizhoosh, H. R., and Taylor, Graham W.
In ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability, Baltimore, MD, USA Jul 2022
@inproceedings{mohammed2022monitoringshortcuts,author={Adnan, Mohammed and Ioannou, Yani and Tsai, Chuan-Yung and Galloway, Angus and Tizhoosh, H. R. and Taylor, Graham W.},title={Monitoring Shortcut Learning using Mutual Information},year={2022},booktitle={ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability},month=jul,day={22},abbr={ICML},eventdate={2022-07-22},venue={Baltimore, MD, USA},bibtex_show={true},arxivid={2206.13034},eprint={2206.13034},eprinttype={arXiv}}
@inproceedings{mohammed2021clusteringselfdistillation,author={Adnan, Mohammed and Ioannou, Yani and Tsai, Chuan-Yung and Taylor, Graham},title={Domain-Agnostic Clustering with Self-Distillation},year={2021},booktitle={2nd NeurIPS Workshop on Self-Supervised Learning: Theory and Practice},abbr={NeurIPS},month=nov,day={23},eventdate={2021-11-23},venue={Virtual Conference},arxivid={2111.12170},eprint={2111.12170},eprinttype={arXiv},bibtex_show={true}}