IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-16: Self-supervised Learning Methods II
Mon, 9 May, 21:00 - 21:45 China Time (UTC +8)
Mon, 9 May, 13:00 - 13:45 UTC
Location: Gather Area H
Session Chair: Subhro Das, IBM Research
Track: Machine Learning for Signal Processing

MLSP-16.1: SEMI-SUPERVISED GAUSSIAN MIXTURE VARIATIONAL AUTOENCODER FOR PULSE SHAPE DISCRIMINATION
Abdullah Abdulaziz, Yoann Altmann, Stephen McLaughlin, Heriot-Watt University, United Kingdom of Great Britain and Northern Ireland; Jianxin Zhou, Angela Di Fulvio, University of Illinois, United States of America

MLSP-16.2: HOW NEURAL PROCESSES IMPROVE GRAPH LINK PREDICTION
Huidong Liang, Junbin Gao, The University of Sydney, Australia

MLSP-16.3: UNCERTAINTY ESTIMATION WITH A VAE-CLASSIFIER HYBRID MODEL
Shuyu Lin, Niki Trigoni, Stephen Roberts, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Ronald Clark, Imperial College London, United Kingdom of Great Britain and Northern Ireland

MLSP-16.4: CONTEXT-AWARE GRAPH-BASED SELF-SUPERVISED LEARNING OF WHOLE SLIDE IMAGES
Milan Aryal, Nasim Yahyasoltani, Marquette University, United States of America

MLSP-16.5: CONTRASTIVE SENSOR TRANSFORMER FOR PREDICTIVE MAINTENANCE OF INDUSTRIAL ASSETS
Zaharah Bukhsh, Eindhoven University of Technology, Netherlands

MLSP-16.6: IMPROVING ANOMALY DETECTION WITH A SELF-SUPERVISED TASK BASED ON GENERATIVE ADVERSARIAL NETWORK
Heyan Chai, Weijun Su, Siyu Tang, Harbin Institute of Technology (Shenzhen), China; Ye Ding, Dongguan University of Technology, China; Binxing Fang, Qing Liao, Harbin Institute of Technology (Shenzhen), China