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-L2: Learning Theory, Representation and Classification
Tue, 24 May, 16:00 - 18:00 China Time (UTC +8)
Tue, 24 May, 08:00 - 10:00 UTC
Location: Roselle Junior Ballroom 4611-3
Session Co-Chairs: Umut Simsekli, INRIA / ENS and Kyogu Lee, Seoul National University
Track: Machine Learning for Signal Processing

MLSP-L2.1: Adversarially-Trained Nonnegative Matrix Factorization
Ting Cai, University of Wisconsin Madison, United States of America; Vincent Tan, National University of Singapore, Singapore; Cédric Févotte, Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse, France

MLSP-L2.2: GENERALIZED SLICED PROBABILITY METRICS
Soheil Kolouri, Vanderbilt University, United States of America; Kimia Nadjahi, Telecom Paris, France; Shahin Shahrampour, Northeastern University, United States of America; Umut Simsekli, INRIA / ENS, France

MLSP-L2.3: RECOVERY OF NOISY POOLED TESTS VIA LEARNED FACTOR GRAPHS WITH APPLICATION TO COVID-19 TESTING
Eyal Fishel Ben-Knaan, Nir Shlezinger, Ben Gurion University, Israel; Yonina Eldar, Weizmann Institute of Science, Israel

MLSP-L2.4: A GENERALIZED HIERARCHICAL NONNEGATIVE TENSOR DECOMPOSITION
Joshua Vendrow, Deanna Needell, UCLA, United States of America; Jamie Haddock, Harvey Mudd College, United States of America

MLSP-L2.5: END-TO-END MUSIC REMASTERING SYSTEM USING SELF-SUPERVISED AND ADVERSARIAL TRAINING
Junghyun Koo, Seungryeol Paik, Kyogu Lee, Seoul National University, Korea, Republic of

MLSP-L2.6: Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Gaëtan Frusque, Olga Fink, ETH Zürich, Switzerland

MLSP-L2.7: INVESTIGATING THE POTENTIAL OF AUXILIARY-CLASSIFIER GANS FOR IMAGE CLASSIFICATION IN LOW DATA REGIMES
Amil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos Katsaggelos, Northwestern University, United States of America

MLSP-L2.8: INTERMIX: AN INTERFERENCE-BASED DATA AUGMENTATION AND REGULARIZATION TECHNIQUE FOR AUTOMATIC DEEP SOUND CLASSIFICATION
Ramit Sawhney, Scaler, India; Atula Tejaswi Neerkaje, Manipal Institute of Technology, India