MLSP-L13: Self-Supervised and Semi-Supervised Learning II
Thu, 18 Apr, 08:20 - 10:20 (UTC +9)
Location: Room 104
Session Type: Lecture
Session Co-Chairs: Danilo Comminiello, Sapienza University of Rome and Zheng-Hua Tan, Aalborg University
Track: Machine Learning for Signal Processing
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Thu, 18 Apr, 08:20 - 08:40 (UTC +9)
 

MLSP-L13.1: LEARNING GENERALIZABLE VISUAL REPRESENTATIONS VIA SELF-SUPERVISED INFORMATION BOTTLENECK

Xin Liu, Ya-li Li, Shengjin Wang, Tsinghua University, China
Thu, 18 Apr, 08:40 - 09:00 (UTC +9)
 

MLSP-L13.2: A RECONSTRUCTION-BASED FEATURE ADAPTATION FOR ANOMALY DETECTION WITH SELF-SUPERVISED MULTI-SCALE AGGREGATION

Zuo Zuo, Xi’an Jiaotong University, China; Zongze Wu, Shenzhen University, China; Badong Chen, Xi’an Jiaotong University, China; Xiaopin Zhong, Shenzhen University, China
Thu, 18 Apr, 09:00 - 09:20 (UTC +9)
 

MLSP-L13.3: Search for gravitational wave probes - A self-supervised learning for pulsars based on signal contexts

Shen Wang, Fudan University, China; Xiaofeng Cheng, Zhejiang Lab, China; Ming Xie, Yuhang Ling, Chao Liu, Mingmin Chi, Fudan University, China; Pei Wang, National Astronomical Observatories, Chinese Academy of Sciences, China; Zhongyi Sun, Yabiao Wang, Tencent Youtu Lab, China
Thu, 18 Apr, 09:20 - 09:40 (UTC +9)
 

MLSP-L13.4: Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision

Yiping Wei, Kunyu Peng, Karlsruhe Institute for Technology, Germany; Alina Roitberg, University of Stuttgart, Germany; Jiaming Zhang, Junwei Zheng, Ruiping Liu, Yufan Chen, Karlsruhe Institute for Technology, Germany; Kailun Yang, Hunan University, China; Rainer Stiefelhagen, Karlsruhe Institute for Technology, Germany
Thu, 18 Apr, 09:40 - 10:00 (UTC +9)
 

MLSP-L13.5: IPCL: ITERATIVE PSEUDO-SUPERVISED CONTRASTIVE LEARNING TO IMPROVE SELF-SUPERVISED FEATURE REPRESENTATION

Sonal Kumar, Anirudh Phukan, Arijit Sur, Indian Institute of Technology Guwahati, India
Thu, 18 Apr, 10:00 - 10:20 (UTC +9)
 

MLSP-L13.6: Pseudo Labels Regularization for Imbalanced Partial-Label Learning

Mingyu Xu, Zheng Lian, Bin Liu, Chinese Academy of Sciences, China; Zerui Chen, Chinese-American Joint Program of RDFZ XISHAN School, China; Jianhua Tao, Department of Automation, Tsinghua University, China