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Found 3 papers, 3 papers with code
Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB Images
To this end, we propose a modular learning network augmented with grasp detection and semantic segmentation, tailored for robots equipped with parallel-plate grippers.
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
Moreover, the knowledge memorized by PLMs may quickly become outdated, which affects the generalization performance of PLMs on future data.
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
In this paper, we propose a novel transfer learning method for NMT, namely ConsistTL, which can continuously transfer knowledge from the parent model during the training of the child model.
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