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Found 5 papers, 4 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.
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
Instead of assuming degradation are spatially invariant across the whole image, we learn correction filters to adjust degradations to known degradations in a spatially variant way by a novel linearly-assembled pixel degradation-adaptive regression module (DARM).
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).
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering
Text-based visual question answering (VQA) requires to read and understand text in an image to correctly answer a given question.
Optical Character Recognition
Optical Character Recognition (OCR)
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