Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
1-49 z 49.
2025
49.
Klaudia Bałazy, Julian McAuley, Jacek Tabor
A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification, International Conference on Computational Science [ICCS], (2025), 179–193
48.
Klaudia Bałazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor
LoRA-XS: low-rank adaptation with extremely small number of parameters, European Conference on Artificial Intelligence [ECAI], (2025), 3194 - 3201
47.
Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarząb, Katarzyna Biegun-Drożdż, Dorota Ochońska, Michał Wronka, Adriana Borowa, Tomasz Gosiewski, Miłosz Adamczyk, Henryk Telega, Bartosz Zieliński, Monika Brzychczy-Włoch
46.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Chengliang Dai, Cheng Ouyang, Yuanhan Ma, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandra Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Clan M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob Van Der Geest, Weldebirhan Tewodros Arega, Fabrice Meriaudeau, Caner Özer, Amin Ranem, John Kalkhof, İlkay Öksüz, Anirban Mukhopadhyay , Abdul Qayyum, Moona Mazher, Steven A. Niederer, Cabrera Garcia-Carles, Eric Arazo, Michał Grzeszczyk, Szymon Płotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
45.
44.
Marcin Sendera, Amin Sorkhei, Tomasz Kuśmierczyk
Revisiting the equivalence of Bayesian neural networks and Gaussian processes: on the importance of learning activations, Conference in Uncertainty in Artificial Intelligence [UAI] vol. UAI '25: Proceedings of the Forty-First Conference on Uncertainty in Artificial Intelligence (2025), 3675 - 3700
43.
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA, Empirical Methods in Natural Language Processing [EMNLP](MAIN), (2025),
42.
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025),
41.
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025),
40.
Patryk Marszałek, Maciej Rut, Piotr Kawa, Przemysław Spurek, Piotr Syga
As Good as It KAN Get: High-Fidelity Audio Representation, ACM International Conference on Information and Knowledge Management [CIKM], (2025), 2063--2073
39.
Paweł Batorski, Malarz Dawid, Marcin Przewięźlikowski, Marcin Mazur, Sławomir K. Tadeja, Przemysław Spurek
Hypernetwork Approach to Rapid NeRF Adaptation, Knowledge-Based Systems vol. 332 (2025), 114861
38.
Classifier-Free Guidance with Adaptive Scaling, European Conference on Artificial Intelligence [ECAI] vol. 413 (2025), 435 - 442
37.
Adrito Das, Danyal Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guayan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Płotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Perez, Santiago Rodriguez, Pablo Arbalaez, Danail Stoyanov, Hani Marcus, Sophia Bano
36.
Szymon Płotka, Gizem Mert, Maciej Chrabaszcz, Ewa Szczurek, Arkadiusz Sitek
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation, Advances in Neural Information Processing Systems [NeurIPS], (2025),
35.
Tomasz Szczepański, Szymon Płotka, Michał Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15961 (2025), 218–228
34.
Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki, Sławomir K. Tadeja, Thomas Bohné, Przemysław Spurek
MiraGe: Editable 2D Images using Gaussian Splatting, International Conference on Machine Learning [ICML] vol. 267 (2025), 61868-61884
33.
Adam Kania, Marko Mihajlovic, Prokudin Sergey, Jacek Tabor, Przemysław Spurek
FreSh: Frequency Shifting for Accelerated Neural Representation Learning, International Conference on Learning Representations [ICLR] vol. 9798331320850 (2025), 1-24
32.
Joanna Kaleta, Weronika Smolak-Dyżewska, Malarz Dawid, Diego Dall’Alba, Przemyslaw Korzeniowski, Przemysław Spurek
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15969} (2025), 391 -- 401
31.
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025), accepted
30.
Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zięba, Przemysław Spurek
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields, IEEE International Conference on Data Science and Advanced Analytics [DSAA](MAIN), (2025), accepted
29.
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Krisztián Buza, Przemysław Sekuła, Michał Cholewa, Katarzyna Kołodziej, Piotr Gorczyca, Magdalena Piegza
28.
27.
Peyman Ashkrof , Farnoud Ghasemi, Rafał Kucharski, Gonçalo Homem de Almeida Correia, Cats Oded , Bart van Arem
26.
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marvin Segler, Jacek Tabor, Marek Śmieja
Diverse and feasible retrosynthesis using gflownets, Information Sciences vol. 714 (2025), 122194
25.
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations, IEEE International Conference on Computer Vision [ICCV] vol. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025 (2025), 23442-23452
24.
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification, European Conference on Artificial Intelligence [ECAI](MAIN) vol. 413: ECAI 2025 (2025), 411-418
23.
HyperMask: Adaptive hypernetwork-based masks for continual learning, Neural Networks vol. 191 (2025), 107736
22.
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection, International Conference on Machine Learning [ICML], (2025),
21.
Łukasz Struski, Tomasz Urbańczyk, Krzysztof Bucki, Bartłomiej Cupiał, Aneta Kaczyńska, Przemysław Spurek, Jacek Tabor
MeVGAN: GAN-based plugin model for video generation with applications in colonoscopy, PLoS One vol. 20 (5) (2025), e0312038
20.
Patryk Krukowski, Anna Bielawska, Kamil Książek, Paweł Wawrzynski , Paweł Batorski, Przemysław Spurek
19.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML] vol. 267 Proceedings of Machine Learning (2025), 53843-53866
18.
Can We Start Sharing Our Rides Again? The Post-Pandemic Ride-Pooling Market, Transport and Telecommunication Journal vol. volume 26, no. 2, (2025), 194-207
17.
Piotr Borycki, Kubacki Piotr, Marcin Przewięźlikowski, Jacek Tabor, Przemysław Spurek, Tomasz Kuśmierczyk
Hypernetwork Approach to Bayesian MAML (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39 (2025), 29325-29327
16.
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 39 (2025), 21510-21518
15.
Mateusz Poleski, Jacek Tabor, Przemysław Spurek
GeoGuide: Geometric Guidance of Diffusion Models, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 1 (2025), 297-305
14.
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression, IEEE International Joint Conference on Neural Networks [IJCNN](MAIN), (2025), 1-7
13.
Dominik Zimny, Artur Kasymov, Adam Kania, Jacek Tabor, Maciej Zięba, Marcin Mazur, Przemysław Spurek
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation, Expert Systems with Applications vol. 279 (2025), 127350
12.
11.
10.
VisTabNet: Adapting Vision Transformers for Tabular Data, SIAM International Conference on Data Mining [SDM], (2025), 497-506
9.
NegGS: Negative Gaussian Splatting, Information Sciences vol. 702 (2025), 121912
8.
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision, International Conference on Learning Representations [ICLR](MAIN) vol. ICLR 2025 200 pkt (2025), 1-97
7.
Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wołczyk
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39(28) (2025), 29359-29361
6.
Gaussian Splatting with NeRF-based color and opacity, Computer Vision and Image Understanding vol. 251 (2025), 104273
5.
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup, Advances in Neural Information Processing Systems [NeurIPS] vol. 37 (2025), 107865--107889
4.
3.
2.
Bartosz Zieliński, Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzciński
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8536-8545
1.
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129