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Tabor, Jacek

  1. LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
    2024/05/27 by Klaudia Bałazy, Mohammadreza Banaei, Bałazy, Klaudia +5 · 2 voices · 28 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #CCD and CMOS Imaging Sensors #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG)
  2. The Break-Even Point on Optimization Trajectories of Deep Neural\n Networks
    2020/02/21 by Stanisław Jastrzȩbski, Jastrzebski, Stanislaw, Maciej Szymczak +11 · 22 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  3. Interpretable Image Classification with Differentiable Prototypes Assignment
    2021/12/06 by Dawid Rymarczyk, Rymarczyk, Dawid, Łukasz Struski +9 · 15 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  4. GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting
    2024/02/02 by Joanna Waczyńska, Piotr Borycki, Waczyńska, Joanna +7 · 21 citations
    Engineering · #Advanced Semiconductor Detectors and Materials #Chalcogenide Semiconductor Thin Films #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Perovskite Materials and Applications
  5. Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
    2021/06/09 by Wołczyk, Maciej, Wójcik, Bartosz, Bałazy, Klaudia +4 · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Processing of missing data by neural networks
    2018/05/18 by Marek Śmieja, Smieja, Marek, Łukasz Struski +7 · 5 citations
    Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  7. ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
    2023/01/28 by Mikołaj Sacha, Dawid Rymarczyk, Sacha, Mikołaj +7 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications
  8. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    2023/08/16 by Mikołaj Sacha, Sacha, Mikołaj, Bartosz Jura +9 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  9. LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
    2022/06/29 by Piotr Tempczyk, Tempczyk, Piotr, Michaluk, Rafał +7 · 6 citations
    Computer Science · #Advanced Vision and Imaging #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Gaussian Splatting with NeRF-based Color and Opacity
    2023/12/21 by Dawid Malarz, Weronika Smolak, Malarz, Dawid +7 · 1 voice · 6 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Industrial Vision Systems and Defect Detection #cs.CV
  11. Relative Molecule Self-Attention Transformer
    2021/10/12 by Maziarka, Łukasz, Majchrowski, Dawid, Danel, Tomasz +5 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
    2023/06/21 by Aleksandra Nowak, Bram Grooten, Nowak, Aleksandra I. +5 · 6 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural Networks and Reservoir Computing
  13. SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
    2019/06/21 by Śmieja, Marek, Wołczyk, Maciej, Tabor, Jacek +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Hypernetworks build Implicit Neural Representations of Sounds
    2023/02/09 by Szatkowski, Filip, Piczak, Karol J., Spurek, Przemysław +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  15. Classifier-free Guidance with Adaptive Scaling
    2025/02/14 by Dawid Malarz, Artur Kasymov, Malarz, Dawid +7 · 8 citations
    Engineering · #Inertial Sensor and Navigation #Advanced Measurement and Metrology Techniques #Astronomical Observations and Instrumentation
  16. LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
    2025/03/08 by Struski, Łukasz, Bednarczyk, Michał B., Podolak, Igor T. +1 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  17. HyperShot: Few-Shot Learning by Kernel HyperNetworks
    2022/03/21 by Marcin Sendera, Sendera, Marcin, Marcin Przewięźlikowski +9 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  18. HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks
    2022/11/03 by Filip Szatkowski, Karol J. Piczak, Szatkowski, Filip +7 · 2 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Hearing Loss and Rehabilitation #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
  19. FreSh: Frequency Shifting for Accelerated Neural Representation Learning
    2024/10/07 by Adam Kania, Marko Mihajlović, Kania, Adam +7 · 4 citations
    Computer Science · #Neural Networks and Applications
  20. Entropy of the Mixture of Sources and Entropy Dimension
    2011/10/27 by Marek Smieja, Smieja, Marek, Jacek Tabor +1 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
  21. Continual Learning with Guarantees via Weight Interval Constraints
    2022/06/16 by Maciej Wołczyk, Wołczyk, Maciej, Karol J. Piczak +13 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  22. LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
    2024/05/23 by Mateusz Pach, Pach, Mateusz, Dawid Rymarczyk +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. ChiENN: Embracing Molecular Chirality with Graph Neural Networks
    2023/07/05 by Piotr Gaiński, Michał Koziarski, Gaiński, Piotr +5 · 2 citations
    Chemistry · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular spectroscopy and chirality #Quantitative Methods (q-bio.QM)
  24. SEMU: Singular Value Decomposition for Efficient Machine Unlearning
    2025/02/11 by Sendera, Marcin, Struski, Łukasz, Książek, Kamil +3 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. RaySplats: Ray Tracing based Gaussian Splatting
    2025/01/31 by Byrski, Krzysztof, Mazur, Marcin, Tabor, Jacek +4 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  26. Kernel Self-Attention in Deep Multiple Instance Learning
    2020/05/25 by Dawid Rymarczyk, Rymarczyk, Dawid, Borowa, Adriana +4 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
    2024/06/26 by Gaiński, Piotr, Koziarski, Michał, Maziarz, Krzysztof +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. HyperPocket: Generative Point Cloud Completion
    2021/02/11 by Przemysław Spurek, Artur Kasymov, Spurek, Przemysław +13 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
  29. Flow-based SVDD for anomaly detection
    2021/08/10 by Marcin Sendera, Sendera, Marcin, Marek Śmieja +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Time Series Analysis and Forecasting
  30. MisConv: Convolutional Neural Networks for Missing Data
    2021/10/26 by Marcin Przewięźlikowski, Przewięźlikowski, Marcin, Marek Śmieja +5 · 1 citation
    Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  31. Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models
    2019/06/03 by Paweł Morawiecki, Morawiecki, Paweł, Przemysław Spurek +5 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis
  32. NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering
    2023/03/10 by Wojciech Zając, Zając, Wojciech, Waczyńska, Joanna +7 · 1 citation
    Computer Science · Engineering · #Face recognition and analysis #3D Shape Modeling and Analysis #Generative Adversarial Networks and Image Synthesis
  33. Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
    2023/02/08 by Mohammadreza Banaei, Klaudia Bałazy, Banaei, Mohammadreza +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  34. Gaussian model for closed curves
    2023/04/03 by Krzysztof Byrski, Przemysław Spurek, Byrski, Krzysztof +3 · 1 citation
    Agricultural and Biological Sciences · Chemistry · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Leaf Properties and Growth Measurement #Morphological variations and asymmetry #Spectroscopy and Chemometric Analyses
  35. r-softmax: Generalized Softmax with Controllable Sparsity Rate
    2023/04/11 by Klaudia Bałazy, Łukasz Struski, Bałazy, Klaudia +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
  36. ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
    2023/06/18 by Łukasz Struski, Dawid Rymarczyk, Struski, Łukasz +9 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning and Data Classification #electronic engineering #information engineering
  37. Partition Reduction for Lossy Data Compression Problem
    2012/03/31 by Marek Śmieja, Jacek Tabor, Śmieja, Marek +1 · 1 citation
    Computer Science · Mathematics · #Algorithms and Data Compression #Cellular Automata and Applications #Mathematical Dynamics and Fractals #cs.IT #math.IT
  38. MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
    2023/05/17 by Dominik Zimny, Zimny, Dominik, Kasymov, Artur +8 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Image Processing and 3D Reconstruction
  39. GeoGuide: Geometric guidance of diffusion models
    2024/07/17 by Mateusz Poleski, Poleski, Mateusz, Jacek Tabor +3 · 2 citations
    Earth and Planetary Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geological Modeling and Analysis
  40. Contrastive Hierarchical Clustering
    2023/03/03 by Znaleźniak, Michał, Rola, Przemysław, Kaszuba, Patryk +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization
    2024/06/03 by Aleksandra Nowak, Łukasz Gniecki, Nowak, Aleksandra Irena +5 · 1 citation
    Computer Science · #Teaching and Learning Programming
  42. Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
    2025/02/17 by Patryk Marszałek, Klaudia Bałazy, Marszałek, Patryk +5 · 2 citations
    Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
  43. VisTabNet: Adapting Vision Transformers for Tabular Data
    2024/12/28 by Witold Wydmański, Ulvi Movsum-zada, Wydmański, Witold +5 · 1 citation
    Computer Science · #Image Processing and 3D Reconstruction #Image Retrieval and Classification Techniques