publications

2024

1. CPAL

   Classification Bias on a Data Diet

   Pote, Tejas, Adnan, Mohammed, Yargic, Yigit, and Ioannou, Yani

   In Conference on Parsimony and Learning (Recent Spotlight Track), Hong Kong 2024

   Bib Poster

   @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}
   }

2. ICLR

   Dynamic Sparse Training with Structured Sparsity

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

   In International Conference on Learning Representations (ICLR), Vienna, Austria 2024

   arXiv Bib

   @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

1. 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

   arXiv Bib

   @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}
   }

2. 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

   DOI Bib

   @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}
   }

2022

1. AAAI

   Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

   Evci, Utku,  Ioannou, Yani A., Keskin, Cem, and Dauphin, Yann

   In Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada Feb 2022

   arXiv Bib Poster

   @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}
   }

2. SNN

   Condensing Sparse Layers

   Golubeva, Anna, Lasby, Mike,  Ioannou, Yani, and Nica, Mihai

   In 2nd Workshop on Sparsity in Neural Networks, Virtual Jul 2022

   Bib Poster

   @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}
   }

3. 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

   arXiv Bib

   @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}
   }

2021

1. NeurIPS

   Domain-Agnostic Clustering with Self-Distillation

   Adnan, Mohammed,  Ioannou, Yani, Tsai, Chuan-Yung, and Taylor, Graham

   In 2nd NeurIPS Workshop on Self-Supervised Learning: Theory and Practice, Virtual Conference Nov 2021

   arXiv Bib

   @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}
   }