2023	Paper Title	Authors	Conference/Journal Name	Paper Link	Code Link
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)	Link
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)	Link
3	"On Manipulating Weight Predictions in Signed Weighted Networks"	Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski	37th AAAI Conference on Artificial Intelligence (C)	Link
4	"Efficiently Testable Circuits"	Mirza Ahad Baig, Suvradip Chakraborty, Stefan Dziembowski, Małgorzata Gałązka, Tomasz Lizurej	ITCS - Innovations in Theoretical Computer Science (C)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)
12	"Two-phase Security Games"	Andrzej Nagórko, Paweł Ciosmak, Tomasz Michalak	22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) (C)
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)	Link
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)	Link
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)	Link
16	"Lightning Creation Games"	Zeta Avarikioti, Tomasz Lizurej, Tomasz Michalak, Michelle Yeo	43rd IEEE International Conference on Distributed Computing Systems	Link
17	"Individual Cryptography"	Stefan Dziembowski, Sebastian Faust, Tomasz Lizurej		Link
18	"ICICLE: Interpretable Class Incremental Continual Learning"	Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartłomiej Twardowski	International Conference on Computer Vision [ICCV] (C)	Link
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)	Link
20	"On Many-Actions Policy Gradien"	Michał Nauman, Marek Cygan	International Conference on Machine Learning ICML	Link
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
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	Link
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
24	"Two-phase Attacks in Security Games"	Andrzej Nagórko, Paweł Ciosmak, Tomasz Michalak	The 39th Conference on Uncertainty in Artificial Intelligence [UAI] (C)
25	"Adversarial Link Prediction in Spatial Networks"	Michał Godziszewski, Yevgeniy Vorobeychik, Tomasz Michalak	22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
26	"Deterministic Fully Dynamic SSSP and More"	Jan van den Brand, Adam Karczmarz	IEEE Computer Society FOCS 2023	Link
27	"Sensitivity and Dynamic Distance Oracles via Generic Matrices and Frobenius Form"	Adam Karczmarz, Piotr Sankowski	IEEE Computer Society FOCS 2023	Link
28	"On Fully Dynamic Strongly Connected Components"	Adam Karczmarz, Marcin Smulewicz	The European Symposium on Algorithms
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)
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)	Link
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)	Link	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link	Link
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)	Link	Link
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)	Link	Link