2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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MLSP-42: Neural Network Pruning

Session Type: Poster
Time: Friday, 11 June, 11:30 - 12:15
Location: Gather.Town
Session Chair: Igor Fedorov, ARM
 
   MLSP-42.1: A FRAMEWORK FOR PRUNING DEEP NEURAL NETWORKS USING ENERGY-BASED MODELS
         Hojjat Salehinejad; University of Toronto
         Shahrokh Valaee; University of Toronto
 
   MLSP-42.2: PROTOTYPE-BASED PERSONALIZED PRUNING
         Jangho Kim; Seoul National University
         Simyung Chang; Qualcomm AI Research
         Sungrack Yun; Qualcomm AI Research
         Nojun Kwak; Seoul National University
 
   MLSP-42.3: TENSOR REORDERING FOR CNN COMPRESSION
         Matej Ulicny; Trinity College Dublin
         Vladimir A. Krylov; Dublin City University
         Rozenn Dahyot; Trinity College Dublin
 
   MLSP-42.4: PRUNING OF CONVOLUTIONAL NEURAL NETWORKS USING ISING ENERGY MODEL
         Hojjat Salehinejad; University of Toronto
         Shahrokh Valaee; University of Toronto
 
   MLSP-42.5: REWEIGHTED DYNAMIC GROUP CONVOLUTION
         Weiwei Chen; Ningbo University
         Chong Wang; Ningbo University
         Zhehao Zhang; Ningbo University
         Zheng Huo; Ningbo University
         Linlin Gao; Ningbo University
 
   MLSP-42.6: LAYER-WISE INTERPRETATION OF DEEP NEURAL NETWORKS USING IDENTITY INITIALIZATION
         Shohei Kubota; Kyushu University
         Hideaki Hayashi; Kyushu University
         Tomohiro Hayase; Fujitsu Laboratories
         Seiichi Uchida; Kyushu University