| 1 |
"ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts" |
Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński |
IEEE/CVF Winter Conference on Applications of Computer Vision [WACV] (C) |
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| 2 |
"SONGs: Self-Organizing Neural Graphs" |
Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński |
IEEE/CVF Winter Conference on Applications of Computer Vision [WACV] (C) |
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| 3 |
"On Manipulating Weight Predictions in Signed Weighted Networks" |
Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski |
37th AAAI Conference on Artificial Intelligence (C) |
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| 4 |
"Efficiently Testable Circuits" |
Mirza Ahad Baig, Suvradip Chakraborty, Stefan Dziembowski, Małgorzata Gałązka, Tomasz Lizurej |
ITCS - Innovations in Theoretical Computer Science (C) |
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| 5 |
"Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search" |
Michał Zawalski, Michał Tyrolski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś |
Eleventh International Conference on Learning Representations [ICLR] (C) |
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| 6 |
"Planckian Jitter: Countering the Color-Crippling Effects of Color Jitter on Self-Supervised Training" |
Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov |
Eleventh International Conference on Learning Representations [ICLR] (C) |
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| 7 |
"On The Role of Forgetting in Fine-Tuning Reinforcement Learning Models" |
Maciej Walczyk, Bartłomiej Cupiał, Michał Zając, Razvan Pascanu, Piotr Miłoś |
Eleventh International Conference on Learning Representations [ICLR] (C) |
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| 8 |
"BlendFields: Few-Shot Example-Driven Facial Modeling" |
K. Kania, S. J. Garbin, A. Tagliasacchi, V. Estellers, Tomasz Trzcinski, Kwang Moo Yi |
The IEEE/CVF Computer Vision and Pattern Recognition Conference [CVPR] (C) |
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| 9 |
"Exploring Continual Learning of Diffusion Models" |
M. Zając, K. Deja, A. Kuzina, Jakub M. Tomczak, Tomasz Trzciński, Piotr Miłoś |
The IEEE/CVF Computer Vision and Pattern Recognition Conference [CVPR] (C) |
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| 10 |
"Active Visual Exploration Based on Attention-Map Entropy" |
Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski |
32nd International Joint Conference on Artificial Intelligence [IJCAI] (C) |
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| 11 |
"ProPML: Probability Partial Multi-label Learning" |
Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński |
The 10th IEEE International Conference on Data Science and Advanced Analytics [DSAA] (C) |
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| 12 |
"Two-phase Security Games" |
Andrzej Nagórko, Paweł Ciosmak, Tomasz Michalak |
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) (C) |
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| 13 |
"Learning Data Representations with Joint Diffusion Models" |
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases [ECML PKDD] (C) |
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| 14 |
"Hypernetworks build Implicit Neural Representations of Sounds" |
Filip Szatkowski, Tomasz Trzcinski, Karol J. Piczak, Przemysław Spurek, Jacek Tabor |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases [ECML PKDD] (C) |
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| 15 |
"The general framework for Few-Shot Learning by Kernel HyperNetworks" |
Marcin Przewięźlikowski, Marcin Sendera, Jan Miksa, Mateusz Rajski, Konrad Karanowski |
Machine Vision and Applications (P) |
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| 16 |
"Lightning Creation Games" |
Zeta Avarikioti, Tomasz Lizurej, Tomasz Michalak, Michelle Yeo |
43rd IEEE International Conference on Distributed Computing Systems |
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| 17 |
"Individual Cryptography" |
Stefan Dziembowski, Sebastian Faust, Tomasz Lizurej |
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| 18 |
"ICICLE: Interpretable Class Incremental Continual Learning" |
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartłomiej Twardowski |
International Conference on Computer Vision [ICCV] (C) |
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| 19 |
"TabAttention: Learning Attention Conditionally on Tabular Data" |
Michal K. Grzeszczyk, Szymon Płotka, Beata Rebizant, Katarzyna Kosińska-Kaczyńska, Michał Lipa, Tomasz Trzciński |
26th International Conference on Medical Image Computing and Computer Assisted Intervention [MICCAI] (C) |
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| 20 |
"On Many-Actions Policy Gradien" |
Michał Nauman, Marek Cygan |
International Conference on Machine Learning ICML |
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| 21 |
"Online matching with delays and stochastic arrival times" |
Piotr Sankowski, Michał Pawłowski, Mathieu Mari, Runtian Ren |
International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2023 |
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| 22 |
"Optimal Decremental Connectivity in Non-Sparse Graphs" |
Anders Aamand, Adam Karczmarz, Jakub Łącki, Nikos Partsidis, Peter Rasmussen, Mikkel Thorup |
International Colloquium on Automata, Languages and Programming ICALP 2023 |
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| 23 |
"Explaining Competitive-Level Programming Solutions using LLMs" |
Jierui Li, Szymon Tworkowski, Yingying Wu, Raymond Mooney |
The 61st Annual Meeting of the Association for Computational Linguistics |
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| 24 |
"Two-phase Attacks in Security Games" |
Andrzej Nagórko, Paweł Ciosmak, Tomasz Michalak |
The 39th Conference on Uncertainty in Artificial Intelligence [UAI] (C) |
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| 25 |
"Adversarial Link Prediction in Spatial Networks" |
Michał Godziszewski, Yevgeniy Vorobeychik, Tomasz Michalak |
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) |
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| 26 |
"Deterministic Fully Dynamic SSSP and More" |
Jan van den Brand, Adam Karczmarz |
IEEE Computer Society FOCS 2023 |
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| 27 |
"Sensitivity and Dynamic Distance Oracles via Generic Matrices and Frobenius Form" |
Adam Karczmarz, Piotr Sankowski |
IEEE Computer Society FOCS 2023 |
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| 28 |
"On Fully Dynamic Strongly Connected Components" |
Adam Karczmarz, Marcin Smulewicz |
The European Symposium on Algorithms |
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| 29 |
"Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection" |
Youcef Djenouri, Ahmed Nabil Belbachir |
The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA) |
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| 30 |
"The Tunnel Effect: Building Data Representations in Deep Neural Networks" |
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś, Tomasz Trzciński |
Thirty-seventh Conference on Neural Information Processing Systems [NeurIPS 2023] (C) |
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| 31 |
"Focused Transformer: Contrastive Training for Context Scaling" |
Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu, Henryk Michalewski, Piotr Miłoś |
Thirty-seventh Conference on Neural Information Processing Systems [NeurIPS 2023] (C) |
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| 32 |
"Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery" |
Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Łukasz Kuciński, Piotr Miłoś |
Thirty-seventh Conference on Neural Information Processing Systems [NeurIPS 2023] (C) |
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| 33 |
"Ochrona infrastruktury krytycznej z wykorzystaniem teorii gier, technik optymalizacji i algorytmów sztucznej inteligencji" |
Tomasz Michalak, Michał Godziszewski, Andrzej Nagórko |
Terroryzm – studia, analizy, prewencja, 2023, Numer 4 (4) (C) |
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| 34 |
"Zero time waste in pre-trained early exit neural networks" |
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski |
Neural Networks (P) |
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| 35 |
"Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders" |
Jan Dubiński, Stanisław Pawlak, Franziska Boenisch, Tomasz Trzciński, Adam Dziedzic |
Thirty-seventh Conference on Neural Information Processing Systems [NeurIPS 2023] (C) |
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| 36 |
"Platelet-Based Liquid Biopsies through the Lens of Machine Learning" |
Sebastian Cygert, Krzysztof Pastuszak, Franciszek Górski, Michał Sieczczyński, Piotr Juszczyk, Antoni Rutkowski |
Cancers (P) |
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| 37 |
"Augmentation-aware Self-supervised Learning with Conditioned Projector" |
Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja |
NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice (W) |
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| 38 |
"Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning" |
Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński |
ICCV 2023 Workshop: Visual Continual Learning (W) |
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| 39 |
"Revisiting Supervision for Continual Representation Learning" |
Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski |
NeurIPS 2023 Workshop: UniReps - Unifying Representations in Neural Models (W) |
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| 40 |
"AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation" |
Damian Sójka, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński |
ICCV 2023 Workshop: Visual Continual Learning (W) |
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| 41 |
"Non-Atomic Payment Splitting in Channel Networks" |
Stefan Dziembowski, Paweł Kędzior |
Advances in Financial Technologies - AFT 2023 |
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| 42 |
"Efficiently Testable Circuits without Conductivity" |
Mirza Ahad Baig, Suvradip Chakraborty, Stefan Dziembowski, Małgorzata Gałązka, Tomasz Lizurej, Krzysztof Pietrzak |
Theory of Cryptography Conference, TCC 2023 |
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