Śmieja, Marek
- 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)
- 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)
- HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets
2023/04/07 by Witold Wydmański, Wydmański, Witold, Oleksii Bulenok +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
2024/12/04 by Marcin Przewięźlikowski, Randall Balestriero, Przewięźlikowski, Marcin +7 · 2 voices · 2 citations
Computer Science · #cs.CV #cs.LG
- ChiENN: Embracing Molecular Chirality with Graph Neural Networks
2023/07/05 by Piotr Gaiński, Gaiński, Piotr, Michał Koziarski +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)
- A Classification-Based Approach to Semi-Supervised Clustering with\n Pairwise Constraints
2020/01/18 by Marek Śmieja, Śmieja, Marek, Łukasz Struski +3 · 1 citation
Computer Science · #Advanced Clustering Algorithms Research #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Processing of incomplete images by (graph) convolutional neural networks
2020/10/26 by Danel, Tomasz, Śmieja, Marek, Struski, Łukasz +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- 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)
- 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
- 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)
- Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models
2019/06/03 by Paweł Morawiecki, Przemysław Spurek, Morawiecki, Paweł +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
- r-softmax: Generalized Softmax with Controllable Sparsity Rate
2023/04/11 by Klaudia Bałazy, Bałazy, Klaudia, Łukasz Struski +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
- Partition Reduction for Lossy Data Compression Problem
2012/03/31 by Marek Śmieja, Śmieja, Marek, Jacek Tabor +1 · 1 citation
Mathematics · Computer Science · #Mathematical Dynamics and Fractals #Algorithms and Data Compression #Cellular Automata and Applications
- 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)
- VisTabNet: Adapting Vision Transformers for Tabular Data
2024/12/28 by Witold Wydmański, Wydmański, Witold, Ulvi Movsum-zada +5 · 1 citation
Computer Science · #Image Processing and 3D Reconstruction #Image Retrieval and Classification Techniques