The applicability of predictive microbiology tools for analysing Listeria monocytogenes contamination in butter produced by the traditional batch churning method von Adamczewski, Kamil, Staniewski, Bogusław, Kowalik, Jarosław

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Differentially Private Neural Tangent Kernels (DP-NTK) for Privacy-Preserving Data Generation von Yang, Yilin, Adamczewski, Kamil, Li, Xiaoxiao, Sutherland, Danica J., Park, Mijung

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Revisiting Random Channel Pruning for Neural Network Compression von Li, Yawei, Adamczewski, Kamil, Li, Wen, Gu, Shuhang, Timofte, Radu, Van Gool, Luc

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AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale von Pardyl, Adam, Wronka, Michał, Wołczyk, Maciej, Adamczewski, Kamil, Trzciński, Tomasz, Zieliński, Bartosz

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Differential Privacy Meets Neural Network Pruning von Adamczewski, Kamil, Park, Mijung

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Shapley Pruning for Neural Network Compression von Adamczewski, Kamil, Li, Yawei, van Gool, Luc

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Dirichlet Pruning for Neural Network Compression von Adamczewski, Kamil, Park, Mijung

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Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification von Adamczewski, Kamil, He, Yingchen, Park, Mijung

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Neuron ranking -- an informed way to condense convolutional neural networks architecture von Adamczewski, Kamil, Park, Mijung

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Differential Privacy Meets Neural Network Pruning von Adamczewski, Kamil, Park, Mijung

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Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion von Adamczewski, Kamil, Sakaridis, Christos, Patil, Vaishakh, Van Gool, Luc

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Joint or Disjoint: Mixing Training Regimes for Early-Exit Models von Krzepkowski, Bartłomiej, Michaluk, Monika, Szarwacki, Franciszek, Kubaty, Piotr, Pomponi, Jary, Trzciński, Tomasz, Wójcik, Bartosz, Adamczewski, Kamil

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AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale von Pardyl, Adam, Wronka, Michał, Wołczyk, Maciej, Adamczewski, Kamil, Trzciński, Tomasz, Zieliński, Bartosz

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Bayesian Importance of Features (BIF) von Adamczewski, Kamil, Harder, Frederik, Park, Mijung

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Shapley Pruning for Neural Network Compression von Adamczewski, Kamil, Li, Yawei, Luc van Gool

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Dirichlet Pruning for Neural Network Compression von Adamczewski, Kamil, Park, Mijung

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DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation von Harder, Frederik, Adamczewski, Kamil, Park, Mijung

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Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation von Yang, Yilin, Adamczewski, Kamil, Sutherland, Danica J, Li, Xiaoxiao, Park, Mijung

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Scaling Laws for Fine-Grained Mixture of Experts von Krajewski, Jakub, Ludziejewski, Jan, Adamczewski, Kamil, Pióro, Maciej, Krutul, Michał, Antoniak, Szymon, Ciebiera, Kamil, Król, Krystian, Odrzygóźdź, Tomasz, Sankowski, Piotr, Cygan, Marek, Jaszczur, Sebastian

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Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification von Adamczewski, Kamil, He, Yingchen, Park, Mijung

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