2024 | Paper Title | Authors | Conference/Journal Name | Paper Link | Code Link |
---|---|---|---|---|---|
1 | "Shortest Disjoint Paths on a Grid" | Mathieu Mari, Anish Mukherjee, Piotr Sankowski | ACM-SIAM Symposium on Discrete Algorithms (SODA 24) | ||
2 | "Exact Shortest Paths with Rational Weights on the Word RAM" | Adam Karczmarz, Wojciech Nadara, Marek Sokołowski | ACM-SIAM Symposium on Discrete Algorithms (SODA 24) | Link | |
3 | "Max-s,t-Flow Oracles and Negative Cycle Detection in Planar Digraphs" | Adam Karczmarz | ACM-SIAM Symposium on Discrete Algorithms (SODA 24) | Link | |
4 | "Divide and not forget: Ensemble of selectively trained experts in Continual Learning" | Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzciński, Bartosz Zieliński, Bartłomiej Twardowski | International Conference on Learning Representations (ICLR 24) | Link | Link |
5 | "From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation" | Shahriar Ebrahimi, Parisa Hassanizadeh | The Network and Distributed System Security (NDSS 24) | Link | Link |
6 | "Magnushammer: A Transformer-Based Approach to Premise Selection" | Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu | International Conference on Learning Representations (ICLR 24) | Link | |
7 | "Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning" | Dipam Goswami, Albin Soutif Cormerais, Yuyang Liu, Sandesh Kamath, Bartłomiej Twardowski, Joost van de Weijer | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | ||
8 | "Scaling Laws for Fine-Grained Mixture of Experts" | Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michał Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur | ICLR 2024, ICML | Link | |
9 | "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" | Maciej Pióro, Kamil Ciebiera, Krystian Król, Jan Ludziejewski, Michał Krutul, Jakub Krajewski, Szymon Antoniak, Piotr Miłoś, Marek Cygan, Sebastian Jaszczur | ICLR 2024 | Link | |
10 | "Online Multi-level Aggregation with Delays and Stochastic Arrivals" | Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski | AAMAS | Link | |
11 | "General Markov Model for Solving Patrolling Games" | Andrzej Nagórko, Marcin Waniek, Małgorzata Róg, Michał Godziszewski, Barbara Rosiak, Tomasz P. Michalak | 40th Conference on Uncertainty in Artificial Intelligence 2024 (UAI 2024) | ||
12 | "Animated Ink Bleeding with Computational Fluid Dynamics" | Grzegorz Gruszczynski, Mateusz Tokarz, Przemyslaw Musialski | ACM SIGGRAPH 2024 Posters | ||
13 | "Neuro-Symbolic Transformation of Architectural Facades into Their Procedural Representations" | Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski | ACM SIGGRAPH 2024 Posters | ||
14 | "NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering" | Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Maciej Zięba, Przemysław Spurek | Conference name: 24th International Conference on Computational Science (ICCS 2024) | Link | |
15 | "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" | Przemysław Spurek, Sebastian Winczowski, Maciej Zięba, Tomasz Trzciński, Kacper Kania, Marcin Mazur | Conference name: 24th International Conference on Computational Science (ICCS 2024) | Link | |
16 | "Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning" | Michal Nauman, Michał Bortkiewicz, Mateusz Ostaszewski, Piotr Miłoś, Tomasz Trzciński, Marek Cygan | ICML | Link | |
17 | "A deep cut into Split Federated Self-supervised Learning" | Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek Śmieja | ECML PKDD 2024 | Link | Link |
18 | "AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale" | Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, Bartosz Zieliński | ECCV 2024 | Link | Link |
19 | "Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization" | Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor | ICML 2024 | Link | |
20 | "General Markov Model for Solving Patrolling Games" | Andrzej Nagórko, Michał Tomasz Godziszewski, Marcin Waniek, Barbara Rosiak, Małgorzata Róg, Tomasz Paweł Michalak | UAI 2024 | Link | |
21 | "Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks" | Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Michalak | 7TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 19-24 OCTOBER 2024 Santiago de Compostela | Link | |
22 | "HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks" | Marcin Przewięźlikowski, Przemysław Przybysz, Jacek Tabor, Maciej Zięba, Przemysław Spurek | Neurocomputing | arXiv / Link | Link |
23 | "Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery" | Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski | The European Conference on Computer Vision (ECCV 2024) | Link | Link |
24 | "Revisiting Supervision for Continual Representation Learning" | Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski | ECCV 2024 | Link | Link |
25 | "MagMax: Leveraging Model Merging for Seamless Continual Learning" | Daniel Marczak, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert | ECCV 2024 | Link | Link |
26 | "Exemplar-free Continual Representation Learning via Learnable Drift Compensation" | Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer | ECCV 2024 | Link | |
27 | "Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem" | Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś | ICML 2024 | Link | Link |
28 | "Universal Optimization for Non-Clairvoyant Subadditive Joint Replenishment" | Tomer Ezra, Stefano Leonardi, Michał Pawłowski, Matteo Russo, Seeun William Umboh | APPROX 2024 | Link | |
29 | "Machine Learning-assisted Detection of Breast Arterial Calcifications" | Aleksandra Osowska-Kurczab, Daan van den Oever, Ioannis Sechopoulos | MICCAI 2024 | ||
30 | "AR-TTA: A Simple Method for Real World Continual Test-Time Adaptation" | Damian Sójka, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert | BMVC 2024 | ||
31 | "FaçAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction" | Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski | SIGGRAPH ASIA 2024 | Link | |
32 | "Online Multi-level Aggregation with Delays and Stochastic Arrivals" | Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski | ISAAC 2024 | Link | |
33 | "Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion" | Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane | NeurIPS 2024 | Link | |
34 | "Let Me DeCode You: Decoder Conditioning with Tabular Data" | Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka, Arleta Adamowicz, Piotr Fudalej, Przemysław Korzeniowski, Tomasz Trzciński, Arkadiusz Sitek | MICCAI 2024 | Link | Link |
35 | "Neural network interatomic potentials for open surface nano-mechanics application" | Amirhossein D. Naghdi, Franco Pellegrini, Emine Küçükbenli, Dario Massa, F. Javier Dominguez–Gutierrez, Efthimios Kaxiras, Stefanos Papanikolaou | Acta Materialia journal | Link | |
36 | "Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning" | Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski | NeurIPS 2024 | Link | Link |
37 | "Augmentation-aware Self-supervised Learning with Conditioned Projector" | Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja | Knowledge-Based Systems Journal | Link / arXiv | Link |
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