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Yelysei Bondarenko

  1. A White Paper on Neural Network Quantization
    2021/06/15 by Markus Nagel, Nagel, Markus, Marios Fournarakis +9 · 78 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  2. Overcoming Oscillations in Quantization-Aware Training
    2022/03/21 by Markus Nagel, Nagel, Markus, Marios Fournarakis +5 · 23 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG)
  3. Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
    2023/06/22 by Yelysei Bondarenko, Markus Nagel, Bondarenko, Yelysei +3 · 22 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #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
  4. Low-Rank Quantization-Aware Training for LLMs
    2024/06/10 by Yelysei Bondarenko, Riccardo Del Chiaro, Bondarenko, Yelysei +3 · 9 citations
    Decision Sciences · Engineering · Medicine · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management
  5. FPTQuant: Function-Preserving Transforms for LLM Quantization
    2025/06/05 by Boris van Breugel, van Breugel, Boris, Yelysei Bondarenko +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling