Publications by year in reverse chronological order.


  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
  2. 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


  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
  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


  1. Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
    Evci, UtkuIoannou, Yani A.Keskin, Cem, and Dauphin, Yann
    In Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada Feb 2022
  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
  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


  1. 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