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Found 4 papers, 3 papers with code
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
Distinguished from traditional knowledge graphs (KGs), temporal knowledge graphs (TKGs) must explore and reason over temporally evolving facts adequately.
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
We then craft a mixed-context reasoning module based on the multi-layer perceptron (MLP) to learn the unified representations of inter-quadruples for ECE while accomplishing temporal knowledge reasoning.
DCDet: Dynamic Cross-based 3D Object Detector
We find that the center-based label assignment often fails to generate sufficient positive samples for training, while the anchor-based label assignment tends to encounter an imbalanced issue when handling objects of varying scales.
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Learning a common latent embedding by aligning the latent spaces of cross-modal autoencoders is an effective strategy for Generalized Zero-Shot Classification (GZSC).
