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07/11/2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
Active learning (AL) is an effective approach to select the most informa...
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05/31/2023
Fractional weak adversarial networks for the stationary fractional advection dispersion equations
In this article, we propose the fractional weak adversarial networks (f-...
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04/30/2023
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Industrial image anomaly detection under the setting of one-class classi...
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04/09/2023
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
Existing super-resolution models for pathology images can only work in f...
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04/04/2023
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection
The truth is significantly hampered by massive rumors that spread along ...
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09/29/2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Existing fake news detection methods aim to classify a piece of news as ...
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04/19/2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
Since 2017, the Transformer-based models play critical roles in various ...
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04/18/2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Massive false rumors emerging along with breaking news or trending topic...
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10/09/2021
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Rumors are rampant in the era of social media. Conversation structures p...
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07/09/2020