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Kamil Adamczewski

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

9

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2026ACIIDSShapley Pruning for Interpretable Neural Network Compression.Kamil Adamczewski, Joanna Kaczmarek, Yawei Li, Michele Magno, Luc Van Gool
2025ECAIOne Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression.Mikolaj Janusz, Tomasz Wojnar, Yawei Li, Luca Benini, Kamil Adamczewski
2025ICMLHow to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies.Piotr Kubaty, Bartosz Wjcik, Bartlomiej Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Kamil Adamczewski
2025ICMLJoint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient.Jan Ludziejewski, Maciej Piro, Jakub Krajewski, Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Milos, Sebastian Jaszczur
2024ECAIZero-Waste Machine Learning.Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wjcik
2024ECCVAdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale.Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024ICMLScaling Laws for Fine-Grained Mixture of Experts.Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Piro, Michal Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Krl, Tomasz Odrzygzdz, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur
2022CoRLLidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion.Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
2022CVPRRevisiting Random Channel Pruning for Neural Network Compression.Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool
2022ICMLHermite Polynomial Features for Private Data Generation.Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park
2021AISTATSDirichlet Pruning for Convolutional Neural Networks.Kamil Adamczewski, Mijung Park
2021AISTATSDP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation.Frederik Harder, Kamil Adamczewski, Mijung Park
2020AAAIRadial and Directional Posteriors for Bayesian Deep Learning.ChangYong Oh, Kamil Adamczewski, Mijung Park
2015CVPRSubgraph matching using compactness prior for robust feature correspondence.Yumin Suh, Kamil Adamczewski, Kyoung Mu Lee
2015ICCVDiscrete Tabu Search for Graph Matching.Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee
2014ECAIHow good is the Shapley value-based approach to the influence maximization problem?Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak