MLSP-8.3
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
Session:
Pattern Recognition and Classification III
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Sun, 8 May, 22:00 - 22:45 China Time (UTC +8)
Sun, 8 May, 14:00 - 14:45 UTC
Sun, 8 May, 14:00 - 14:45 UTC
Session Chair:
Tao Zhang, Alexa AI, Amazon
Session MLSP-8
MLSP-8.1: Attentional Gated Res2Net for Multivariate Time Series Classification
Chao Yang, Xianzhi Wang, University of Technology, Sydney, Australia; Lina Yao, University of New South Wales, Australia; Guodong Long, Jing Jiang, Guandong Xu, University of Technology Sydney, Australia
MLSP-8.2: CONVEX CLUSTERING FOR AUTOCORRELATED TIME SERIES
Max Revay, Victor Solo, University of New South Wales, Australia
MLSP-8.3: 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-8.4: FEATURE AUGMENTATION LEARNING FOR FEW-SHOT PALMPRINT IMAGE RECOGNITION WITH UNCONSTRAINED ACQUISITION
Kunlei Jing, Xinman Zhang, Xi’an Jiaotong University, China; Zhiyuan Yang, Bihan Wen, Nanyang Technological University, China
MLSP-8.5: PRIME KNOWLEDGE WITH LOCAL PATTERN CONSISTENCY FOR KNOWLEDGE DISTILLATION
Qiankun Tang, Jun Wang, Zhejiang Lab, China; Xiaogang Xu, Zhejiang Gongshang University, China
MLSP-8.6: TEST-TIME DETECTION OF BACKDOOR TRIGGERS FOR POISONED DEEP NEURAL NETWORKS
Xi Li, Zhen Xiang, David Miller, George Kesidis, Pennsylvania State University, United States of America