Kamil Adamczewski

38 papers A* 8A 5Misc 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupled Relative Learning Rate Schedules. CoRR Jan Ludziejewski, Jan Malasnicki, Maciej Pióro, Michal Krutul, Kamil Ciebiera, Maciej Stefaniak, Jakub Krajewski, Piotr Sankowski, Marek Cygan, Kamil Adamczewski, Sebastian Jaszczur
2025	A*	`conf`	How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies. ICML Piotr Kubaty, Bartosz Wójcik, Bartlomiej Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Kamil Adamczewski
2025	A*	`conf`	Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient. ICML Jan Ludziejewski, Maciej Pióro, Jakub Krajewski, Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Milos, Sebastian Jaszczur
2025	J	`jnl`	Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient. CoRR Jan Ludziejewski, Maciej Pióro, Jakub Krajewski, Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Milos, Sebastian Jaszczur
2025	A	`conf`	One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression. ECAI Mikolaj Janusz, Tomasz Wojnar, Yawei Li, Luca Benini, Kamil Adamczewski
2025	J	`jnl`	One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression. CoRR Mikolaj Janusz, Tomasz Wojnar, Yawei Li, Luca Benini, Kamil Adamczewski
2025	J	`jnl`	Projected Compression: Trainable Projection for Efficient Transformer Compression. CoRR Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Maciej Pióro, Jakub Krajewski, Sebastian Jaszczur, Marek Cygan, Kamil Adamczewski, Jan Ludziejewski
2025	J	`jnl`	μ-Parametrization for Mixture of Experts. CoRR Jan Malasnicki, Kamil Ciebiera, Mateusz Borun, Maciej Pióro, Jan Ludziejewski, Maciej Stefaniak, Michal Krutul, Sebastian Jaszczur, Marek Cygan, Kamil Adamczewski, Jakub Krajewski
2024	—	`conf`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. ECCV (21) Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	Differentially Private Neural Tangent Kernels (DP-NTK) for Privacy-Preserving Data Generation. J. Artif. Intell. Res. Yi Yang, Kamil Adamczewski, Xiaoxiao Li, Danica J. Sutherland, Mijung Park
2024	J	`jnl`	Joint or Disjoint: Mixing Training Regimes for Early-Exit Models. CoRR Bartlomiej Krzepkowski, Monika Michaluk, Franciszek Szarwacki, Piotr Kubaty, Jary Pomponi, Tomasz Trzcinski, Bartosz Wójcik, Kamil Adamczewski
2024	A*	`conf`	Scaling Laws for Fine-Grained Mixture of Experts. ICML Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michal Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygózdz, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur
2024	J	`jnl`	Scaling Laws for Fine-Grained Mixture of Experts. CoRR Jakub Krajewski, Jan Ludziejewski, Kamil Adamczewski, Maciej Pióro, Michal Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygózdz, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur
2024	J	`jnl`	Shapley Pruning for Neural Network Compression. CoRR Kamil Adamczewski, Yawei Li, Luc Van Gool
2024	A	`conf`	Zero-Waste Machine Learning. ECAI Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik
2023	J	`jnl`	Differential Privacy Meets Neural Network Pruning. CoRR Kamil Adamczewski, Mijung Park
2023	J	`jnl`	Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation. CoRR Yilin Yang, Kamil Adamczewski, Danica J. Sutherland, Xiaoxiao Li, Mijung Park
2023	—	`—`	Less is More: Discovering Redundancies in Data and Neural Network Models for Improved Efficiency, Intrerpretability and Privacy. Kamil Adamczewski
2023	J	`jnl`	Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
2023	J	`jnl`	Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification. CoRR Kamil Adamczewski, Yingchen He, Mijung Park
2022	A*	`conf`	Hermite Polynomial Features for Private Data Generation. ICML Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park
2022	Misc	`conf`	Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
2022	A*	`conf`	Revisiting Random Channel Pruning for Neural Network Compression. CVPR Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Revisiting Random Channel Pruning for Neural Network Compression. CoRR Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool
2021	A	`conf`	DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation. AISTATS Frederik Harder, Kamil Adamczewski, Mijung Park
2021	A	`conf`	Dirichlet Pruning for Convolutional Neural Networks. AISTATS Kamil Adamczewski, Mijung Park
2020	J	`jnl`	Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation. CoRR Frederik Harder, Kamil Adamczewski, Mijung Park
2020	J	`jnl`	Dirichlet Pruning for Neural Network Compression. CoRR Kamil Adamczewski, Mijung Park
2020	J	`jnl`	Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning. CoRR Kamil Adamczewski, Frederik Harder, Mijung Park
2020	A*	`conf`	Radial and Directional Posteriors for Bayesian Deep Learning. AAAI ChangYong Oh, Kamil Adamczewski, Mijung Park
2019	J	`jnl`	Neuron ranking - an informed way to condense convolutional neural networks architecture. CoRR Kamil Adamczewski, Mijung Park
2019	J	`jnl`	Radial and Directional Posteriors for Bayesian Neural Networks. CoRR ChangYong Oh, Kamil Adamczewski, Mijung Park
2015	A*	`conf`	Discrete Tabu Search for Graph Matching. ICCV Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee
2015	A*	`conf`	Subgraph matching using compactness prior for robust feature correspondence. CVPR Yumin Suh, Kamil Adamczewski, Kyoung Mu Lee
2015	J	`jnl`	The Smoothed Pólya-Vinogradov Inequality. Integers Kamil Adamczewski, Enrique Treviño
2014	A	`conf`	How good is the Shapley value-based approach to the influence maximization problem? ECAI Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak
2014	J	`jnl`	How good is the Shapley value-based approach to the influence maximization problem? CoRR Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak