MLSP-38.5
TRACKING THE DIMENSIONS OF LATENT SPACES OF GAUSSIAN PROCESS LATENT VARIABLE MODELS
Yuhao Liu, Petar M. Djuric, Stony Brook University, United States of America
Session:
Sequential Learning
Track:
Machine Learning for Signal Processing
Location:
Gather Area H
Presentation Time:
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Wed, 11 May, 14:00 - 14:45 UTC
Session Chair:
Anand Sarwate, Rutgers University
Session MLSP-38
MLSP-38.1: IMPROVING FEATURE GENERALIZABILITY WITH MULTITASK LEARNING IN CLASS INCREMENTAL LEARNING
Dong Ma, Chi Ian Tang, Cecilia Mascolo, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
MLSP-38.2: ADVERSARIAL MASK TRANSFORMER FOR SEQUENTIAL LEARNING
Hou Lio, Shang-En Li, Jen-Tzung Chien, National Yang Ming Chiao Tung University, Taiwan
MLSP-38.3: Online Learning with Probabilistic Feedback
Pouya M. Ghari, Yanning Shen, University of California Irvine, United States of America
MLSP-38.4: DATA INCUBATION — SYNTHESIZING MISSING DATA FOR HANDWRITING RECOGNITION
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan Dixon, Oncel Tuzel, Apple, United States of America
MLSP-38.5: TRACKING THE DIMENSIONS OF LATENT SPACES OF GAUSSIAN PROCESS LATENT VARIABLE MODELS
Yuhao Liu, Petar M. Djuric, Stony Brook University, United States of America
MLSP-38.6: CONTROLLED SENSING AND ANOMALY DETECTION VIA SOFT ACTOR-CRITIC REINFORCEMENT LEARNING
Chen Zhong, M. Cenk Gursoy, Senem Velipasalar, Syracuse University, United States of America