recent.bib

@comment{{This file has been generated by bib2bib 1.99}}

@comment{{Command line: bib2bib -ob src/recent.bib -c '$key="gong2025clibd" or $key="pollock2025harnessing" or $key="gao2024barcodemamba" or $key="gharaee2024bioscan5m" or $key="haurum2024agglomerative" or $key="arias2023barcodebert" or $key="lisicki2023bandit" or $key="gharaee2023bioscan1m" or $key="haurum2023which" or $key="kasa2023empirically" or $key="jurewicz2023catalogproblem" or $key="wei2023sparsifiner" or $key="galloway2022bounding" or $key="thompson2022evaluation"' research-common/gwt_pubs.bib}}

@comment{{bibtex configuration file for Graham Taylor's publications

Contains string definitions for author names used throughout the .bib file
All names are defined as string variables for easy reuse and consistency

File initially created: 2014-08-21 
See documentation at:
http://www.latex-community.org/forum/viewtopic.php?f=44&t=9230
http://artis.imag.fr/~Xavier.Decoret/resources/xdkbibtex/bibtex_summary.html

Notes:
- string myname = "Smith, B[restofname]"  
- string myname = "\textbfSmith, \textbfB" 
- Previously used: string myname = "\textbfGraham Taylor" 
- Now using plain strings with formatting handled in main tex file
- See \FormatName defined in main tex file: http://tex.stackexchange.com/a/33379


}}

@inproceedings{gong2025clibd,
  author = {ZeMing Gong and Austin Wang and Xiaoliang Huo and Joakim Bruslund Haurum and Scott Lowe and Graham Taylor and Angel Chang},
  title = {{CLIBD}: Bridging Vision and Genomics for Biodiversity Monitoring at Scale},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = 2025,
  url = {https://bioscan-ml.github.io/clibd/},
  gh = {https://github.com/bioscan-ml/clibd},
  arxiv = {https://arxiv.org/abs/2405.17537},
  note = {To appear. Early version appeared at Computer Vision and Pattern Recognition (CVPR) Workshop on Fine-Grained Visual Categorization}
}

@article{pollock2025harnessing,
  author = {Laura Pollock and Justin Kitzies and Sara Beery and Kaitlyn Gaynor and Marta Jarzyna and Oisin Mac Aodha and Bernd Meyer and David Rolnick and Graham Taylor and Devis Tuia and Tanya Berger-Wolf},
  title = {Harnessing Artificial Intelligence to Fill Global Shortfalls in Biodiversity},
  journal = {Nature Reviews},
  year = 2025,
  doi = {10.1038/s44358-025-00022-3}
}

@inproceedings{gao2024barcodemamba,
  author = {Tiancheng Gao and Graham Taylor},
  title = {{BarcodeMamba}: State Space Models for Biodiversity Analysis},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Foundation Models for Science},
  year = 2024,
  gh = {https://github.com/bioscan-ml/BarcodeMamba},
  arxiv = {https://arxiv.org/abs/2412.11084}
}

@inproceedings{gharaee2024bioscan5m,
  author = {Zahra Gharaee and Scott Lowe and ZeMing Gong and Pablo Millan Arias and Nicholas Pellegrino and Austin Wang and Joakim Bruslund Haurum and Iuliia Zarubiieva and Lila Kari and Dirk Steinke and Graham Taylor and Paul Fieguth and Angel Chang},
  title = {{BIOSCAN-5M}: A Multimodal Dataset for Insect Biodiversity},
  booktitle = {Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},
  year = 2024,
  gh = {https://github.com/bioscan-ml/BIOSCAN-5M},
  arxiv = {https://arxiv.org/abs/2406.12723}
}

@inproceedings{haurum2024agglomerative,
  author = {Joakim Bruslund Haurum and Sergio Escalera and Graham Taylor and Thomas Moeslund},
  title = {Agglomerative Token Clustering},
  booktitle = {European Conference on Computer Vision (ECCV)},
  url = {https://vap.aau.dk/atc/},
  gh = {https://github.com/JoakimHaurum/ATC},
  arxiv = {https://arxiv.org/abs/2409.11923},
  year = 2024
}

@inproceedings{arias2023barcodebert,
  author = {Pablo Millan Arias and Niousha Sadjadi and Monireh Safari and ZeMing Gong and Austin Wang and Scott Lowe and Joakim Bruslund Haurum and Iuliia Zarubiieva and Dirk Steinke and Lila Kari and Angel Chang and Graham Taylor},
  title = {{BarcodeBERT}: Transformers for Biodiversity Analysis},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Self-Supervised Learning: Theory and Practice},
  gh = {https://github.com/bioscan-ml/BarcodeBERT},
  arxiv = {https://arxiv.org/abs/2311.02401},
  year = 2023
}

@inproceedings{gharaee2023bioscan1m,
  author = {Zahra Gharaee and ZeMing Gong and Nicholas Pellegrino and Iuliia Zarubiieva and Joakim Bruslund Haurum and Scott Lowe and Jaclyn McKeown and Chris Ho and Joschka McLeod and Yi-Yun Wei and Jireh Agda and Sujeevan Ratnasingham and Dirk Steinke and Angel Chang and Graham Taylor and Paul Fieguth},
  title = {A Step Towards Worldwide Biodiversity Assessment: The {BIOSCAN-1M} Insect Dataset},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},
  year = 2023,
  gh = {https://github.com/bioscan-ml/BIOSCAN-1M},
  arxiv = {https://arxiv.org/abs/2307.10455}
}

@inproceedings{lisicki2023bandit,
  author = {Michal Lisicki and Mihai Nica and Graham Taylor},
  title = {Bandit-Driven Batch Selection for Robust Learning under Label Noise},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Optimization for Machine Learning},
  arxiv = {https://arxiv.org/abs/2311.00096},
  year = 2023,
  note = {Also presented at the NeurIPS Workshop on Advancing Neural Network Training (WANT).}
}

@inproceedings{haurum2023which,
  author = {Joakim Bruslund Haurum and Sergio Escalera and Graham Taylor and Thomas Moeslund},
  booktitle = {International Conference on Computer Vision (ICCV) Workshop on New Ideas in Vision Transformers},
  title = {Which Tokens to Use? Investigating Token Reduction in Vision Transformers},
  year = 2023,
  url = {https://vap.aau.dk/tokens/},
  gh = {https://github.com/JoakimHaurum/TokenReduction},
  arxiv = {https://arxiv.org/abs/2308.04657}
}

@inproceedings{kasa2023empirically,
  author = {Kevin Kasa and Graham Taylor},
  title = {Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data},
  booktitle = {International Conference on Machine Learning (ICML) Workshop on Structured Probabilistic Inference \& Generative Modeling},
  year = 2023,
  arxiv = {https://arxiv.org/abs/2307.01088}
}

@inproceedings{jurewicz2023catalogproblem,
  author = {Mateusz Jurewicz and Graham Taylor and Leon Derczynski},
  title = {{The Catalog Problem: Clustering and Ordering Variable-Sized Sets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 2023,
  doi = {10.5555/3618408.3619041},
  pdf = {https://proceedings.mlr.press/v202/jurewicz23a/jurewicz23a.pdf}
}

@inproceedings{wei2023sparsifiner,
  author = {Cong Wei and Brendan Duke and Ruowei Jiang and Parham Aarabi and Graham Taylor and Florian Shkurti},
  title = {{Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers}},
  booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
  url = {https://lim142857.github.io/lim142857.github.io-sparsifiner/},
  gh = {https://github.com/lim142857/Sparsifiner},
  arxiv = {https://arxiv.org/abs/2303.13755},
  year = 2023
}

@article{galloway2022bounding,
  author = {Angus Galloway and Anna Golubeva and Mahmoud Salem and Mihai Nica and Yani Ioannou and Graham Taylor},
  title = {Bounding generalization error with input compression: An empirical study with infinite-width networks},
  journal = {Transactions on Machine Learning Research (TMLR)},
  arxiv = {https://arxiv.org/abs/2207.09408},
  year = 2022
}

@inproceedings{thompson2022evaluation,
  author = {Rylee Thompson and Boris Knyazev and Elahe Ghalebi and Jungtaek Kim and Graham Taylor},
  title = {On Evaluation Metrics for Graph Generative Models},
  booktitle = {International Conference on Learning Representations (ICLR)},
  gh = {https://github.com/uoguelph-mlrg/GGM-metrics},
  arxiv = {https://arxiv.org/abs/2201.09871},
  year = 2022
}