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07/18/2023
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers
The ability to anticipate technical expertise and capability evolution t...
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04/14/2022
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
Machine learning models that learn from dynamic graphs face nontrivial c...
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03/15/2022
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
Keyphrase extraction aims at automatically extracting a list of "importa...
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10/15/2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
Drawing causal conclusions from observational real-world data is a very ...
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09/09/2021
VAINE: Visualization and AI for Natural Experiments
Natural experiments are observational studies where the assignment of tr...
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04/23/2021
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages
Evaluating model robustness is critical when developing trustworthy mode...
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04/23/2021
Evaluating Deception Detection Model Robustness To Linguistic Variation
With the increasing use of machine-learning driven algorithmic judgement...
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05/01/2020
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks
We evaluate machine comprehension models' robustness to noise and advers...
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04/16/2020
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation
Evaluation beyond aggregate performance metrics, e.g. F1-score, is cruci...
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07/01/2019
Improved Forecasting of Cryptocurrency Price using Social Signals
Social media signals have been successfully used to develop large-scale ...
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07/25/2018
Vulnerable to Misinformation? Verifi!
We present Verifi2, a visual analytic system to support the investigatio...
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05/30/2018
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
In the age of social news, it is important to understand the types of re...
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10/17/2017