WP-V1.V1: Image Classification
Wed, 5 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Wed, 5 Oct, 15:00 - 16:00 Central European Time (UTC +2)
Wed, 5 Oct, 13:00 - 14:00 UTC
Wed, 5 Oct, 09:00 - 10:00 Eastern Time (UTC -4)
Virtual Poster
Location: Gather.Town 1
Session Co-Chairs: Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Track: Applications of Machine Learning

WP-V1.V1.1: FAST LEARNING FROM LABEL PROPORTIONS WITH SMALL BAGS
Denis Baručić, Jan Kybic, Czech Technical University in Prague, Czechia

WP-V1.V1.2: EXEMPLAR-FREE ONLINE CONTINUAL LEARNING
Jiangpeng He, Fengqing Zhu, Purdue University, United States of America

WP-V1.V1.3: SELF-SUPERVISED LEARNING FOR TEXTURE CLASSIFICATION USING LIMITED LABELED DATA
Sahana Prabhu, Jitendra Katta, Amit Kale, Bosch Global Software Technologies, India

WP-V1.V1.4: TRAINING STRATEGY FOR LIMITED LABELED DATA BY LEARNING FROM CONFUSION
Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, Iowa State University, United States of America; JungHwan Oh, University of North Texas, United States of America; Piet de Groen, University of Minnesota, United States of America

WP-V1.V1.5: BI-MODAL COMPOSITIONAL NETWORK FOR FEATURE DISENTANGLEMENT
Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee, Indian Statistical Institute, Kolkata, India

WP-V1.V1.6: BOOSTING SUPERVISED LEARNING IN SMALL DATA REGIMES WITH CONDITIONAL GAN AUGMENTATION
Tetsuya Ishikawa, Woven CORE, Japan; Simon Stent, Toyota Research Institute, United States of America

WP-V1.V1.7: Joint disentanglement of labels and their features with VAE
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, University of Strasbourg, France; Sébastien Valette, CREATIS, INSA-Lyon, France

WP-V1.V1.8: JOINT CLASSIFICATION AND OUT-OF-DISTRIBUTION DETECTION BASED ON STRUCTURED LATENT SPACE OF VARIATIONAL AUTO-ENCODERS
Maxime Ossonce, ESME Sudria, France; Florence Alberge, Pierre Duhamel, Université Paris-Saclay, CNRS, CentraleSupélec, France