MLSP-P34.8

ENHANCING THE DOMAIN ROBUSTNESS OF SELF-SUPERVISED PRE-TRAINING WITH SYNTHETIC IMAGES

Mohamad Hassan N C, Avigyan Bhattacharya, Indian Institute of Technology Bombay, India; Victor G. Turrisi da Costa, University of Trento, Italy; Biplab Banerjee, Indian Institute of Technology Bombay, India; Elisa Ricci, University of Trento, Italy

Session:
MLSP-P34: Self-Supervised and Semi-Supervised Learning III Poster

Track:
Machine Learning for Signal Processing

Location:
Poster Zone 4A
Poster Board PZ-4A.8

Presentation Time:
Fri, 19 Apr, 08:20 - 10:20 (UTC +9)

Session Chair:
Yin Cao, Xi'an Jiaotong-Liverpool University
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Presentation
Discussion
Resources
Session MLSP-P34
MLSP-P34.1: CLAF: CONTRASTIVE LEARNING WITH AUGMENTED FEATURES FOR IMBALANCED SEMI-SUPERVISED LEARNING
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan, Nanjing University, China
MLSP-P34.2: SELF-SUPERVISED PULSE-AWARE INTERPRETABLE DISENTANGLED ECG REPRESENTATION LEARNING
Chun-Ti Chou, Vincent S. Tseng, National Yang Ming Chiao Tung University, Taiwan
MLSP-P34.3: A NOVEL CROSS-SENSOR SELF-SUPERVISED LEARNING METHOD FOR ROTATING MACHINERY FAULT DIAGNOSIS
Hu Hao, Feng Zhixi, Li Ruoxue, Ma Yue, Yang Shuyuan, School of Artificial Intelligence, Xidian University, China
MLSP-P34.4: HOW TO BRIDGE GRAPH AND SEQUENCE PATTERNS IN SESSION-BASED RECOMMENDATION? A SELF-SUPERVISED METHOD
Xinglong Wu, Hui He, Zejun Wang, Yu Tai, Sheng Yin, Hongwei Yang, Weizhe Zhang, Harbin Institute of Technology, China
MLSP-P34.5: Neighborhood-Enhanced Multimodal Collaborative Filtering for Item Cold Start Recommendation
Guohui Li, Li Zou, Zhiying Deng, Qi Chen, Huazhong University of Science and Technology, China
MLSP-P34.6: View Crafting for Instance-Level Representation from Scene Images
Bin Liu, Yuchen Luo, Shaofeng Zhang, Shanghai Jiao Tong University, China; Zehuan Yuan, Bytedance Inc, China; Changdong Xu, Full Truck Alliance, China; Boan Chen, Fudan University, China; Junchi Yan, Shanghai Jiao Tong University, China
MLSP-P34.7: Prototype-Guided Masking for Unsupervised Domain Adaptation
Kai-Wen Chen, Chen-Kuo Chiang, National Chung Cheng University, Taiwan
MLSP-P34.8: ENHANCING THE DOMAIN ROBUSTNESS OF SELF-SUPERVISED PRE-TRAINING WITH SYNTHETIC IMAGES
Mohamad Hassan N C, Avigyan Bhattacharya, Indian Institute of Technology Bombay, India; Victor G. Turrisi da Costa, University of Trento, Italy; Biplab Banerjee, Indian Institute of Technology Bombay, India; Elisa Ricci, University of Trento, Italy
MLSP-P34.9: Simple Contrastive Representation Learning for Time Series Forecasting
Xiaochen Zheng, University of Zurich / ETH AI Center, Switzerland; Xingyu Chen, ETH Zurich, Switzerland; Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer, University of Zurich, Switzerland
MLSP-P34.10: ON FINE-TUNING PRE-TRAINED SPEECH MODELS WITH EMA-TARGET SELF-SUPERVISED LOSS
Hejung Yang, Hong-Goo Kang, Yonsei University, Korea, Republic of
MLSP-P34.11: STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting
Lincan Li, University of New South Wales, Australia; Kaixiang Yang, South China University of Technology, China; Jichao Bi, Zhejiang Institute of Industry and Information Technology, China; Fengji Luo, The University of Sydney, Australia
MLSP-P34.12: K-Means Clustering based on Chebyshev Polynomial Graph Filtering
Liang Du, Yunhui Liang, Shanxi university, China; Mian Ilyas Ahmad, National University of Sciences and Technology, Pakistan; Peng Zhou, Anhui university, China
MLSP-P34.13: SELF-SUPERVISED DUAL GENERATIVE NETWORKS FOR EDGE-PRESERVING IMAGE SMOOTHING
Huiqing Qi, Shengli Tan, School of Mathematical Sciences, East China Normal University, China; Xiaoliu Luo, College of Science, Chongqing University of Technology, China
MLSP-P34.14: DUAL-STREAM CONTRASTIVE PREDICTIVE NETWORK WITH JOINT HANDCRAFTED FEATURE VIEW FOR SAR SHIP CLASSIFICATION
Xianting Feng, Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Central South University, China
Contacts