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My Asilomar 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
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Technical Program

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MO2-7: Energy-Efficient solutions for neural networks and applications

Session Type: Virtual
Time: Monday, November 2, 13:00 - 14:20
Location: Room 7
Session Chairs: Youngjoo Lee, POSTECH and Yanxiang Huang, NVIDIA
 
  MO2-7-1: HIERARCHICAL APPROXIMATE MEMORY FOR DEEP NEURAL NETWORK APPLICATIONS
         Minho Ha; Pohang University of Science and Technology
         Seokha Hwang; Samsung Electronics
         Jeonghun Kim; Pohang University of Science and Technology
         Youngjoo Lee; Pohang University of Science and Technology
         Sunggu Lee; Pohang University of Science and Technology
 
  MO2-7-2: DEEP LEARNING BASED MIMO CHANNEL PREDICTION: AN INITIAL PROOF OF CONCEPT PROTOTYPE
         Jayden Booth; Arizona State University
         Ahmed Ewaisha; Arizona State University
         Andreas Spanias; Arizona State University
         Ahmed Alkhateeb; Arizona State University
 
  MO2-7-3: AN ENERGY-EFFICIENT DEEP NEURAL NETWORK ACCELERATOR DESIGN
         Jueun Jung; Ulsan National Institute of Science and Technology
         Kyuho Lee; Ulsan National Institute of Science and Technology
 
  MO2-7-4: A REVIEW OF ON-DEVICE FULLY NEURAL END-TO-END AUTOMATIC SPEECH RECOGNITION ALGORITHMS
         Chanwoo Kim; Samsung Research
         Dhananjaya Gowda; Samsung Research
         Dongsoo Lee; Samsung Research
         Jiyeon Kim; Samsung Research
         Ankur Kumar; Samsung Research
         Sungsoo Kim; Samsung Research
         Abhinav Garg; Samsung Research
         Changwoo Han; Samsung Research