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Found 4 papers, 2 papers with code
Dense Retrieval as Indirect Supervision for Large-space Decision Making
Many discriminative natural language understanding (NLU) tasks have large label spaces.
RGB-T Tracking Based on Mixed Attention
An RGB-T tracker based on mixed attention mechanism to achieve complementary fusion of modalities (referred to as MACFT) is proposed in this paper.
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations.
HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition
This paper proposes a new approach based on deep learning and traditional feature engineering called HAR-Net to address the issue related to HAR.
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