MLSP-50.4
BAYESIAN CONTINUAL IMPUTATION AND PREDICTION FOR IRREGULARLY SAMPLED TIME SERIES DATA
Yang Guo, Cheryl Sze Yin Wong, Savitha Ramasamy, Institute for Infocomm Research, A*STAR, Singapore; Jeanette Wen Jun Poh, Nanyang Technological University Singapore, Singapore
Session:
Deep Learning V
Track:
Machine Learning for Signal Processing
Location:
Gather Area F
Presentation Time:
Fri, 13 May, 21:00 - 21:45 China Time (UTC +8)
Fri, 13 May, 13:00 - 13:45 UTC
Fri, 13 May, 13:00 - 13:45 UTC
Session Chair:
Shinji Watanabe, Carnegie Mellon University
Session MLSP-50
MLSP-50.1: TWO STRATEGIES TOWARD LIGHTWEIGHT IMAGE SUPER-RESOLUTION
Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu, Nanjing University, China
MLSP-50.2: ON MINI-BATCH TRAINING WITH VARYING LENGTH TIME SERIES
Brian Kenji Iwana, Kyushu University, Japan
MLSP-50.3: ACP: ADAPTIVE CHANNEL PRUNING FOR EFFICIENT NEURAL NETWORKS
Yuan Zhang, Yuan Yuan, Qi Wang, Northwestern Polytechnical University, China
MLSP-50.4: BAYESIAN CONTINUAL IMPUTATION AND PREDICTION FOR IRREGULARLY SAMPLED TIME SERIES DATA
Yang Guo, Cheryl Sze Yin Wong, Savitha Ramasamy, Institute for Infocomm Research, A*STAR, Singapore; Jeanette Wen Jun Poh, Nanyang Technological University Singapore, Singapore
MLSP-50.5: CONFIDENCE-AWARE MULTI-TEACHER KNOWLEDGE DISTILLATION
Hailin Zhang, Defang Chen, Can Wang, Zhejiang University, China
MLSP-50.6: Learnable Hypergraph Laplacian for Hypergraph Learning
Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia, Tsinghua University, China