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\n  \n 2021\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification.\n \n \n \n\n\n \n Rymarczyk, D., Struski, L., Tabor, J., & Zieliński, B.\n\n\n \n\n\n\n SIGKDD. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{rymarczyk2021protopshare,\n  title={ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification},\n  author={Rymarczyk, Dawid and Struski, Lukasz and Tabor, Jacek and Zieli{\\'n}ski, Bartosz},\n  journal={SIGKDD},\n  year={2021},\n}\n\n
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\n \n\n \n \n \n \n \n Explaining Self-Supervised Image Representations with Visual Probing.\n \n \n \n\n\n \n Basaj, D., Oleszkiewicz, W., Sieradzki, I., Górszczak, M., Rychalska, B., Trzciński, T., & Zieliński, B.\n\n\n \n\n\n\n IJCAI. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{basaj2021explaining,\n  title={Explaining Self-Supervised Image Representations with Visual Probing},\n  author={Basaj, Dominika and Oleszkiewicz, Witold and Sieradzki, Igor and G{\\'o}rszczak, Micha{\\l} and Rychalska, Barbara and Trzci{\\'n}ski, Tomasz and Zieli{\\'n}ski, Bartosz},\n  journal={IJCAI},\n  year={2021},\n}\n\n
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\n \n\n \n \n \n \n \n Deep learning classification of bacteria clones explained by persistence homology.\n \n \n \n\n\n \n Borowa, A., Rymarczyk, D., Ochońska, D., Brzychczy-Włoch, M., & Zieliński, B.\n\n\n \n\n\n\n IJCNN. 2021.\n \n\n\n\n
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@article{borowa2021deep,\n  title={Deep learning classification of bacteria clones explained by persistence homology},\n  author={Borowa, Adriana and Rymarczyk, Dawid and Ocho{\\'n}ska, Dorota and Brzychczy-W{\\l}och, Monika  and Zieli{\\'n}ski, Bartosz},\n  journal={IJCNN},\n  year={2021},\n}\n\n
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\n \n\n \n \n \n \n \n HuggingMolecules: an open-source library for transformer-based molecular property prediction.\n \n \n \n\n\n \n Gaiński, P., Maziarka, Ł., Danel, T., & Jastrzębski, S.\n\n\n \n\n\n\n ICLR Workshop: Machine Learning for Preventing and Combating Pandemics. 2021.\n \n\n\n\n
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@article{gainski2021hugging,\n  title={HuggingMolecules: an open-source library for transformer-based molecular property prediction},\n  author={Gaiński, Piotr and Maziarka, Łukasz and Danel, Tomasz and Jastrzębski,Stanisław},\n  journal={ICLR Workshop: Machine Learning for Preventing and Combating Pandemics},\n  year={2021},\n}\n
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