MLSP-P29.9
Improving Active Learning for Melody Estimation by Disentangling Uncertainties
Aayush Jaiswal, Parampreet Singh, Vipul Arora, Indian Institute of Technology, Kanpur, India
Session:
MLSP-P29: Robust and Trustworthy Machine Learning I Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 7
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P29
MLSP-P29.1: GCE-UQ: QUANTIFYING AND DECOMPOSING UNCERTAINTY IN GRAPH COUNTERFACTUAL EXPLANATIONS
Chenghua Guo, Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China; Sihong Xie, AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), China; Xi Zhang, Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China
MLSP-P29.2: Domain Generalization via Distilling from Domain-Deconfused CLIP Features
Pei Zhang, Zhiyu Wen, Beijing University of Posts and Telecommunications, China; Ming Zhang, Institute of Systems Engineering, Academy of Military Sciences, China; Kun Xie, Dandan Li, Xiaohong Huang, Yan Ma, Beijing University of Posts and Telecommunications, China
MLSP-P29.3: Bayesian Multi-Modal LSTM with Dynamic Uncertainty Modeling for Net fluid removal Prediction
Xiwen Yang, The Xinjiang Technical Institute of Physics and Chemistry, China; Zemin Kuang, Beijing Anzhen Hospital of Capital Medical University, China; Xun Deng, The Xinjiang Technical Institute of Physics and Chemistry, China; Yibin Li, Heart-Forever Technology Corporation, China; Yifan Yao, Xinjiang University, China; Lu Liu, Roche Diagnostics, China; Lun Hu, Pengwei Hu, The Xinjiang Technical Institute of Physics and Chemistry, China
MLSP-P29.4: DUALGUARD: TWO-STAGE ALIGNMENT PRESERVATION FOR SAFE PEFT
Shiyuan Liu, Renmin University of China, China
MLSP-P29.5: SEMANTIC REFORMULATION ENTROPY FOR ROBUST HALLUCINATION DETECTION IN QA TASKS
Chaodong Tong, Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences, China; Zhang Qi, China Industrial Control Systems Cyber Emergency Response Team, China; Lei Jiang, Institute of Information Engineering, Chinese Academy of Sciences, China; Yanbing Liu, Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences, China; Nannan Sun, Institute of Information Engineering, Chinese Academy of Sciences, China; Wei Li, China Industrial Control Systems Cyber Emergency Response Team, China
MLSP-P29.6: Medical Federated Learning under Long-Tailed and Non-IID Distributions
Qipeng Xie, Jun Chen, Weizheng Wang, Yongzhi Huang, Shuxin Zhong, Hong Kong University of Science and Technology (Guangzhou), China; Linshan Jiang, National University of Singapore, Singapore; Haiqin Yang, Shenzhen Technology University, China; Fei Luo, Great Bay University, China; Kaishun Wu, Hong Kong University of Science and Technology (Guangzhou), China
MLSP-P29.7: DYNAMIC ATTENTION-AWARE SHAPING FOR OUT-OF-DISTRIBUTION DETECTION
Jinyang He, University of Chinese Academy of Sciences, China; Hong Xie, University of Science and Technology of China, China; Xiaoyu Shi, Yan Wang, Mingsheng Shang, University of Chinese Academy of Sciences, China
MLSP-P29.8: GAUSSIAN CLOUD MODEL BAYESIAN NEURAL NETWORKS: A VARIATIONAL INFERENCE FRAMEWORK FOR RELIABLE PREDICTION
Biao Hu, Guoyin Wang, Chongqing University of Posts and Telecommunications, China
MLSP-P29.9: Improving Active Learning for Melody Estimation by Disentangling Uncertainties
Aayush Jaiswal, Parampreet Singh, Vipul Arora, Indian Institute of Technology, Kanpur, India
MLSP-P29.10: Bridging Academia and Industry: Large-Scale NIR Signal Foundation for Robust Multi-Task and Real-world Modeling
Joseph Kim, Mingmin Chi, Fudan University, China
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