Jacek Tabor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
25
Active years
2013–2026
Best venue rank
A*
Where they publish
- AWACV7 papers
- A*ICML6 papers
- AECAI4 papers
- MulticonferenceICCS4 papers
- A*AAAI3 papers
- A*ICLR3 papers
- BIJCNN3 papers
- BICONIP3 papers
- BACIIDS2 papers
- AAISTATS2 papers
- BDSAA2 papers
- A*EMNLP1 paper
- ASDM1 paper
- BPAKDD1 paper
- AEACL1 paper
- A*ECCV1 paper
- BICIP1 paper
- CIPMU1 paper
- AIROS1 paper
- BICTAI1 paper
- A*KDD1 paper
- BESANN1 paper
- CICANN1 paper
- NationalICAISC1 paper
- NationalIBPRIA1 paper
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EPIC: Explanation of Pretrained Image Classification Networks via Prototypes. | Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski |
| 2026 | ACIIDS | Deepfake for the Good: Generating Avatars Through Face-Swapping with Implicit Deepfake Generation. | Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Przemyslaw Spurek, Jacek Tabor |
| 2025 | AAAI | Hypernetwork Approach to Bayesian MAML (Student Abstract). | Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek |
| 2025 | ECAI | LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. | Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor |
| 2025 | ECAI | Classifier-Free Guidance with Adaptive Scaling. | Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek |
| 2025 | ECAI | PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. | Magdalena Tredowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Lukasz Struski |
| 2025 | EMNLP | Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA. | Patryk Marszalek, Klaudia Balazy, Jacek Tabor, Tomasz Kusmierczyk |
| 2025 | ICCS | A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification. | Klaudia Balazy, Julian J. McAuley, Jacek Tabor |
| 2025 | ICLR | FreSh: Frequency Shifting for Accelerated Neural Representation Learning. | Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek |
| 2025 | ICLR | LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. | Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Michal Zielinski, Dawid Damian Rymarczyk |
| 2025 | ICML | SEMU: Singular Value Decomposition for Efficient Machine Unlearning. | Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk |
| 2025 | ICML | LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. | Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor |
| 2025 | IJCNN | CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression. | Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek, Marcin Mazur |
| 2025 | WACV | GeoGuide: Geometric Guidance of Diffusion Models. | Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek |
| 2025 | SDM | VisTabNet: Adapting Vision Transformers for Tabular Data. | Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja |
| 2024 | AAAI | Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. | Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2024 | ACIIDS | RegFlow: Probabilistic Flow-Based Regression for Future Prediction. | Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek |
| 2024 | ICCS | NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. | Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek |
| 2024 | ICML | Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. | Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor |
| 2024 | PAKDD | StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. | Andrzej Bedychaj, Jacek Tabor, Marek Smieja |
| 2024 | WACV | Face Identity-Aware Disentanglement in StyleGAN. | Adrian Suwala, Bartosz Wjcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja |
| 2023 | AISTATS | Bounding Evidence and Estimating Log-Likelihood in VAE. | Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor |
| 2023 | DSAA | ProPML: Probability Partial Multi-label Learning. | Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski |
| 2023 | EACL | Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. | Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rmi Lebret, Jacek Tabor, Karl Aberer |
| 2023 | ECAI | ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. | Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski |
| 2023 | ICCS | r-softmax: Generalized Softmax with Controllable Sparsity Rate. | Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor |
| 2023 | WACV | ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. | Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2023 | WACV | HyperShot: Few-Shot Learning by Kernel HyperNetworks. | Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek |
| 2023 | WACV | SONGs: Self-Organizing Neural Graphs. | Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski |
| 2022 | ECCV | Interpretable Image Classification with Differentiable Prototypes Assignment. | Dawid Rymarczyk, Lukasz Struski, Michal Grszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski |
| 2022 | ICCS | Weakly-Supervised Cell Classification for Effective High Content Screening. | Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski |
| 2022 | ICIP | Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. | Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak |
| 2022 | ICML | LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. | Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski |
| 2022 | ICML | Continual Learning with Guarantees via Weight Interval Constraints. | Maciej Wolczyk, Karol J. Piczak, Bartosz Wjcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek |
| 2022 | IPMU | Nonlinear Weighted Independent Component Analysis. | Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor |
| 2022 | IROS | HyperPocket: Generative Point Cloud Completion. | Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski |
| 2022 | WACV | MisConv: Convolutional Neural Networks for Missing Data. | Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor |
| 2021 | IJCNN | Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. | Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka |
| 2021 | ICTAI | Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. | Bartosz Wjcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor |
| 2021 | KDD | ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. | Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2021 | WACV | Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. | Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski |
| 2020 | ESANN | Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. | Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor |
| 2020 | ICLR | The Break-Even Point on Optimization Trajectories of Deep Neural Networks. | Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras |
| 2020 | ICML | Hypernetwork approach to generating point clouds. | Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski |
| 2020 | ICONIP | Spatial Graph Convolutional Networks. | Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka |
| 2020 | ICONIP | Non-linear ICA Based on Cramer-Wold Metric. | Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski |
| 2019 | AISTATS | Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. | Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak |
| 2019 | ICANN | Hypernetwork Functional Image Representation. | Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja |
| 2019 | ICONIP | Set Aggregation Network as a Trainable Pooling Layer. | Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek |
| 2016 | IJCNN | Fast Entropy Clustering of sparse high dimensional binary data. | Marek Smieja, Szymon Nakoneczny, Jacek Tabor |
| 2015 | DSAA | Spherical wards clustering and generalized Voronoi diagrams. | Marek Smieja, Jacek Tabor |
| 2015 | ICAISC | Cross-Entropy Clustering Approach to One-Class Classification. | Przemyslaw Spurek, Mateusz Wjcik, Jacek Tabor |
| 2013 | IBPRIA | Detection of Elliptical Shapes via Cross-Entropy Clustering. | Jacek Tabor, Krzysztof Misztal |