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07/17/2022
ELECTRA is a Zero-Shot Learner, Too
Recently, for few-shot or even zero-shot learning, the new paradigm "pre...
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12/01/2021
True or False: Does the Deep Learning Model Learn to Detect Rumors?
It is difficult for humans to distinguish the true and false of rumors, ...
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08/29/2021
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Adversarial training has been proven to be a powerful regularization met...
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10/31/2020
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
Social media platforms such as Twitter have become a breeding ground for...
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07/17/2019
Probing Neural Network Comprehension of Natural Language Arguments
We are surprised to find that BERT's peak performance of 77 Reasoning Co...
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07/17/2019
Fake News Detection as Natural Language Inference
This report describes the entry by the Intelligent Knowledge Management ...
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11/27/2018
SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment
The cryptocurrency is attracting more and more attention because of the ...
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04/23/2018
NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension
The Argument Reasoning Comprehension Task requires significant language ...
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02/28/2018
C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation
With the emergence of mobile and wearable devices, push notification bec...
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02/28/2018
DNN-based with Click-sequence-aware Mechanism for Notifications/Pop-ups Recommendation
With the emergence of mobile and wearable devices, push notification bec...
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02/28/2018
Hybrid User Behavioral Analysis with Deep Neural Network for Notifications/Pop-ups Recommendation
With the emergence of mobile and wearable devices, push notification bec...
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10/15/2017
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection
The advance of smartphones and cellular networks boosts the need of mobi...
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05/12/2017
