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08/13/2023
Faithful to Whom? Questioning Interpretability Measures in NLP
A common approach to quantifying model interpretability is to calculate ...
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04/22/2023
A Semi-Supervised Framework for Misinformation Detection
The spread of misinformation in social media outlets has become a preval...
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03/16/2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Continual learning (CL) is one of the most promising trends in recent ma...
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03/14/2023
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Anomaly detection is of paramount importance in many real-world domains,...
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01/13/2023
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
We apply a large multilingual language model (BLOOM-176B) in open-ended ...
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10/13/2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Advances in natural language generation (NLG) have resulted in machine g...
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03/02/2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers
The detection of computer-generated text is an area of rapidly increasin...
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01/18/2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Detecting relevant changes in dynamic time series data in a timely manne...
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07/29/2021
On the combined effect of class imbalance and concept complexity in deep learning
Structural concept complexity, class overlap, and data scarcity are some...
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12/03/2020
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
Class imbalance is a problem of significant importance in applied deep l...
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06/01/2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19
Social media has become an important communication channel during high i...
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08/29/2019
Towards Ethical Content-Based Detection of Online Influence Campaigns
The detection of clandestine efforts to influence users in online commun...
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07/09/2019
