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03/03/2023
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
Knowledge graphs (KG) are essential background knowledge providers in ma...
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12/29/2022
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
As an important variant of entity alignment (EA), multi-modal entity ali...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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08/19/2022
Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph
Multi-modal aspect-based sentiment classification (MABSC) is an emerging...
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07/26/2022
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection
Visual question answering (VQA) often requires an understanding of visua...
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07/04/2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...
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06/08/2022
Disentangled Ontology Embedding for Zero-shot Learning
Knowledge Graph (KG) and its variant of ontology have been widely used f...
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03/15/2022
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning
We present an effective unpaired learning based image dehazing network f...
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02/25/2022
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
NeuralKG is an open-source Python-based library for diverse representati...
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09/07/2021
Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints
Deep learning-based single image deraining (SID) with unpaired informati...
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04/25/2021
