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08/18/2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Attribution methods shed light on the explainability of data-driven appr...
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02/11/2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples
The importance of neighborhood construction in local explanation methods...
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02/03/2023
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps
Text-based image captioning is an important but under-explored task, aim...
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12/02/2022
Knowledge Graph Quality Evaluation under Incomplete Information
Utilities of knowledge graphs (KGs) depend on their qualities. A KG that...
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11/28/2022
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
Multimodal named entity recognition (MNER) and multimodal relation extra...
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09/07/2022
Power of Explanations: Towards automatic debiasing in hate speech detection
Hate speech detection is a common downstream application of natural lang...
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07/16/2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
One-shot Neural Architecture Search (NAS) has been widely used to discov...
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12/02/2021
Learning Large-scale Network Embedding from Representative Subgraph
We study the problem of large-scale network embedding, which aims to lea...
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09/30/2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation
The importance of the neighborhood for training a local surrogate model ...
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09/15/2021
Fast Extraction of Word Embedding from Q-contexts
The notion of word embedding plays a fundamental role in natural languag...
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03/27/2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
Adversarial attacks have rendered high security risks on modern deep lea...
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11/29/2020