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Pechenizkiy, Mykola

  1. Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
    2023/10/08 by Lu Yin, You Wu, Yin, Lu +24 · 1 voice · 31 citations
    Computer Science · #cs.LG
  2. Large Language Models Are Neurosymbolic Reasoners
    2024/01/17 by Meng Fang, S. Deng, Fang, Meng +12 · 1 voice · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  3. Feedback Loop and Bias Amplification in Recommender Systems
    2020/07/25 by Mansoury, Masoud, Abdollahpouri, Himan, Pechenizkiy, Mykola +2 · 24 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  4. More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
    2022/07/07 by Shiwei Liu, Liu, Shiwei, Tianlong Chen +15 · 13 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  5. The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
    2022/02/05 by Liu, Shiwei, Chen, Tianlong, Chen, Xiaohan +4 · 8 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. On Formalizing Fairness in Prediction with Machine Learning
    2017/10/09 by Gajane, Pratik, Pechenizkiy, Mykola · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
    2023/05/18 by Jiaxu Zhao, Zhao, Jiaxu, Meng Fang +9 · 8 citations
    Computer Science · Psychology · Social Sciences · #Topic Modeling #Mental Health via Writing #Computational and Text Analysis Methods
  8. FairSNA: Algorithmic Fairness in Social Network Analysis
    2022/09/04 by Akrati Saxena, Saxena, Akrati, George Fletcher +3 · 7 citations
    Physics and Astronomy · #Complex Network Analysis Techniques
  9. Dynamic Sparse Training for Deep Reinforcement Learning
    2021/06/08 by Ghada Sokar, Sokar, Ghada, Elena Mocanu +7 · 5 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  10. NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
    2023/05/15 by Ni'mah, Iftitahu, Fang, Meng, Menkovski, Vlado +1 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. Survey on Fair Reinforcement Learning: Theory and Practice
    2022/05/20 by Gajane, Pratik, Saxena, Akrati, Tavakol, Maryam +2 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
    2023/05/28 by Yudi Zhang, Zhang, Yudi, Yali Du +11 · 4 citations
    Neuroscience · Psychology · #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Mental Health Research Topics #Neural and Behavioral Psychology Studies
  13. Phrase-level Textual Adversarial Attack with Label Preservation
    2022/05/22 by Yibin Lei, Yu Cao, Lei, Yibin +9 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  14. E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
    2023/12/07 by Boqian Wu, Wu, Boqian, Xiao, Qiao +12 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
  15. On improving deep learning generalization with adaptive sparse connectivity
    2019/06/27 by Shiwei Liu, Liu, Shiwei, Decebal Constantin Mocanu +3 · 2 citations
    Computer Science · #Evolutionary Algorithms and Applications #Machine Learning and ELM #Metaheuristic Optimization Algorithms Research
  16. Causal Discovery from Incomplete Data: A Deep Learning Approach
    2020/01/15 by Yuhao Wang, Wang, Yuhao, Vlado Menkovski +7 · 2 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. A Human-Grounded Evaluation of SHAP for Alert Processing
    2019/07/07 by Hilde Weerts, Weerts, Hilde J. P., Werner van Ipenburg +3 · 3 citations
    Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management
  18. FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
    2020/05/03 by Mansoury, Masoud, Abdollahpouri, Himan, Pechenizkiy, Mykola +2 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  19. The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks
    2021/09/22 by Akrati Saxena, Yulong Pei, Saxena, Akrati +9 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Banking stability, regulation, efficiency #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Peer-to-Peer Network Technologies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  20. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
    2023/12/23 by Grooten, Bram, Tomilin, Tristan, Vasan, Gautham +5 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  21. NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction
    2021/02/01 by Akrati Saxena, George Fletcher, Saxena, Akrati +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  22. Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
    2023/02/13 by Bram Grooten, Grooten, Bram, Ghada Sokar +11 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Energy Harvesting in Wireless Networks #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  23. Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware
    2019/01/26 by Shiwei Liu, Liu, Shiwei, Decebal Constantin Mocanu +7 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
  24. GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models
    2023/12/11 by Jiaxu Zhao, Meng Fang, Zhao, Jiaxu +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  25. Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
    2019/08/02 by Masoud Mansoury, Mansoury, Masoud, Bamshad Mobasher +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  26. Bridging the Performance Gap between FGSM and PGD Adversarial Training
    2020/11/07 by Tianjin Huang, Huang, Tianjin, Vlado Menkovski +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Quick and Robust Feature Selection: the Strength of Energy-efficient\n Sparse Training for Autoencoders
    2020/12/01 by Zahra Atashgahi, Ghada Sokar, Atashgahi, Zahra +11 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
  28. MedINST: Meta Dataset of Biomedical Instructions
    2024/10/17 by Wenhan Han, Meng Fang, Han, Wenhan +13 · 2 citations
    Health Professions · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Health Sciences Research and Education
  29. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    2023/12/03 by Can Jin, Tianjin Huang, Jin, Can +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #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
  30. Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
    2025/02/26 by Zhang, Yudi, Wang, Lu, Fang, Meng +8 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  31. FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
    2022/09/21 by Ricky Fajri, Fajri, Ricky, Akrati Saxena +5 · 1 citation
    Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  32. RuAG: Learned-rule-augmented Generation for Large Language Models
    2024/11/04 by Yudi Zhang, Pei Xiao, Zhang, Yudi +25 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  33. Dynamic Data Pruning for Automatic Speech Recognition
    2024/06/26 by Xiao, Qiao, Ma, Pingchuan, Fernandez-Lopez, Adriana +7 · 1 citation
    #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
  34. REOBench: Benchmarking Robustness of Earth Observation Foundation Models
    2025/05/22 by Li, Xiang, Tao, Yong, Zhang, Siyuan +7 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
    2025/06/17 by Tristan Tomilin, Luka van den Boogaard, Tomilin, Tristan +14 · 3 citations
    Computer Science · #Reinforcement Learning in Robotics
  36. Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
    2024/10/03 by Wu, Boqian, Xiao, Qiao, Wang, Shunxin +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  37. Unveiling the Power of Sparse Neural Networks for Feature Selection
    2024/08/08 by Zahra Atashgahi, Atashgahi, Zahra, Tennison Liu +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  38. Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
    2021/09/21 by Xin Du, Du, Xin, Subramanian Ramamoorthy +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  39. HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
    2025/03/11 by Tomilin, Tristan, Fang, Meng, Pechenizkiy, Mykola · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  40. Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
    2025/06/12 by Yucheng Yang, Yang, Yucheng, Tianyi Zhou +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #G.3 #I.2.6 #I.2.8 #Information Theory (cs.IT) #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques