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05/23/2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
The robustness to distribution changes ensures that NLP models can be su...
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01/17/2023
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
Open Information Extraction models have shown promising results with suf...
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12/30/2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Heterogeneous graph neural networks (HGNNs) have been blossoming in rece...
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10/25/2021
NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization
In this work, we propose NetMF+, a fast, memory-efficient, scalable, and...
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07/26/2021
Augmentation Pathways Network for Visual Recognition
Data augmentation is practically helpful for visual recognition, especia...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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08/24/2020
