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Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval

Efficiency-Enhanced Blockchain-Based Client Selection in Heterogeneous Federated Learning

BDVFL: Blockchain-based Decentralized Vertical Federated Learning

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

WLinker: Modeling Relational Triplet Extraction as Word Linking

Evolving Attention with Residual Convolutions

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

MCR-NET: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension