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In this paper, we propose a novel method, called Hierarchical Attention-based Model with sparse-sharing-based muLti-task sElf-Training algorithm (HAMLET), for ...
Then, we propose a multi-task self-training algorithm that takes advantage of both task correlations and self-training to obtain better performance. We conduct ...
Abstract—User profiling is playing an increasingly important role in real-world applications. Previous works have shown that integrating user information ...
We presented a new handcrafted text-based feature generation model that could accurately discriminate between SARS-CoV-2 and Influenza-A. The novel Hamlet ...
Cited by ; HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. F Ren, Z Zhang, Y Yan, Z Wang, S Su, SY Philip. 2021 IEEE ...
Aug 3, 2020 · HAMLET incorporates a hierarchical architecture, where the lower layer encodes spatio-temporal features from unimodal data by adopting a multi- ...
Missing: Training profiling.
To address these issues, in this paper, we present a perspective-aware multitask learning model, called PATRON, for relation and object grounding tasks in ...
Missing: profiling. | Show results with:profiling.
Dec 15, 2022 · We have developed a novel text-based classification model for discriminating between the two conditions using protein sequences of varying ...
Jul 6, 2022 · The proposed system models machine learning solutions as a hypergraph and autonomously sets up a multi-level structure of heterogeneous agents ...