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Onur Cezmi Mutlu

  1. SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
    2024/05/07 by Kailash Gogineni, Sai Santosh Dayapule, Gogineni, Kailash +14 · 4 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  2. Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
    2024/02/14 by Qian Yang, Qian, Yang, Yinan Sun +16 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Surveillance and Tracking Methods
  3. Training Affective Computer Vision Models by Crowdsourcing Soft-Target\n Labels
    2021/01/10 by Peter Washington, Onur Cezmi Mutlu, Washington, Peter +19 · 1 citation
    Psychology · Computer Science · Medicine · #Emotion and Mood Recognition #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
  4. Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions
    2025/02/17 by Yahya Can Tuğrul, Tuğrul, Yahya Can, A. Giray Yağlıkçı +15 · 5 citations
    Computer Science · Engineering · #3D IC and TSV technologies #Advanced Data Storage Technologies #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Green IT and Sustainability #Hardware Architecture (cs.AR)
  5. Proteus: Enabling High-Performance Processing-Using-DRAM with Dynamic Bit-Precision, Adaptive Data Representation, and Flexible Arithmetic
    2025/01/29 by Geraldo F. Oliveira, Mayank Kabra, Oliveira, Geraldo F. +19 · 3 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Low-power high-performance VLSI design #Parallel #Parallel Computing and Optimization Techniques #VLSI and FPGA Design Techniques #and Cluster Computing (cs.DC)