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

Technical Program

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MLSP-1: Deep Learning Training Methods 1

Session Type: Poster
Time: Tuesday, 8 June, 13:00 - 13:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Wenwu Wang, University of Surrey
 
 MLSP-1.1: META-LEARNING WITH ATTENTION FOR IMPROVED FEW-SHOT LEARNING
         Zejiang Hou; Princeton University
         Anwar Walid; Nokia Bell Labs
         Sun-Yuan Kung; Princeton University
 
 MLSP-1.2: B-SMALL: A BAYESIAN NEURAL NETWORK APPROACH TO SPARSE MODEL-AGNOSTIC META-LEARNING
         Anish Madan; IIIT Delhi
         Ranjitha Prasad; IIIT Delhi
 
 MLSP-1.3: DEEP TRANSFORM AND METRIC LEARNING NETWORKS
         Wen Tang; North Carolina State University
         Emilie Chouzenoux; CentraleSupélec
         Jean-Christophe Pesquet; CentraleSupélec
         Hamid Krim; North Carolina State University
 
 MLSP-1.4: ROBUSTNESS AND DIVERSITY SEEKING DATA-FREE KNOWLEDGE DISTILLATION
         Pengchao Han; Northeastern University
         Jihong Park; Deakin University
         Shiqiang Wang; IBM T. J. Watson Research Center
         Yejun Liu; Chongqing University of Posts and Telecommunications
 
 MLSP-1.5: ENSEMBLE DISTILLATION APPROACHES FOR GRAMMATICAL ERROR CORRECTION
         Yassir Fathullah; Cambridge University
         Mark J. F. Gales; Cambridge University
         Andrey Malinin; Yandex
 
 MLSP-1.6: TRAIN YOUR CLASSIFIER FIRST: CASCADE NEURAL NETWORKS TRAINING FROM UPPER LAYERS TO LOWER LAYERS
         Shucong Zhang; University of Edinburgh
         Cong-Thanh Do; Toshiba Research Europe Ltd.
         Rama Doddipatla; Toshiba Research Europe Ltd.
         Erfan Loweimi; University of Edinburgh
         Peter Bell; University of Edinburgh
         Steve Renals; University of Edinburgh