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Self-Supervised Learning for Multi-Channel Neural Transducer Self-supervised learning, such as with the wav2vec 2.0 framework significantly improves the accuracy of end-to-end automatic speech recognition (ASR). Wav2... A Kojima 被引量: 0发表: 2024年 Structural Damage Detection through Dual-Chann...
(CIKM'2022) MIC: Model-agnostic Integrated Cross-channel Recommender [paper] (CIKM'2022) Temporal Contrastive Pre-Training for Sequential Recommendation [paper] (ICDE'2022) Contrastive Learning for Sequential Recommendation [paper] (ICDE'2022) Self-Supervised Dual-Channel Attentive Network for Session-...
Here we present a self-supervised machine learning model that utilizes a multi-channel correlation and blind denoising to recover images without high-quality references, enabling fast and low-dose measurements. We perform operando luminescence mapping of various emerging optoelectronic semiconductors, ...
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In addition, self-supervised learning is utilized to model cooperative signals between the two graph learning modules, complementing the representation learning capabilities of each module. We name our method self-supervised dual graph learning (SDGL). Experiment results on the seven real-world ...
Li et al. [14] used self-supervised dual-track learning to rank. Since there are more available COVID-19 negative samples than COVID-19 positive samples, their method selected a subset of the negative samples to train on the network so that a more balanced data was trained. The way the...
The principle of PRS-SIM is schematized in Fig.1. The PRS-SIM framework involves self-supervised neural network training (Fig.1a) and the corresponding inference phase (Fig.1b). Specifically, the training dataset is constructed via a novel pixel-realignment strategy, whose underlying mechanism ...
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (Graph + SSL) WWW 2021, [PDF], [Code] SAIL: Self-Augmented Graph Contrastive Learning (Graph + CL) AAAI 2022, [PDF] Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation (Graph + CL) arXiv ...
Self-supervised Graph Learning for Recommendation. arXiv 2020, arXiv:2010.10783. [Google Scholar] Yu, J.; Yin, H.; Li, J.; Wang, Q.; Hung, N.Q.V.; Zhang, X. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. In Proceedings of the World Wide Web ...