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Found 7 papers, 0 papers with code
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords
We propose a novel task-agnostic in-domain pre-training method that sits between generic pre-training and fine-tuning.
A Compact Pretraining Approach for Neural Language Models
We construct these compact subsets from the unstructured data using a combination of abstractive summaries and extractive keywords.
Pattern Discovery in Time Series with Byte Pair Encoding
The growing popularity of wearable sensors has generated large quantities of temporal physiological and activity data.
Challenges in Forecasting Malicious Events from Incomplete Data
As we show in this paper, the process of filtering reduces the predictability of cyber-attacks.
Learning Behavioral Representations from Wearable Sensors
Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors.
Characterizing Activity on the Deep and Dark Web
The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them.
Discovering Signals from Web Sources to Predict Cyber Attacks
Cyber attacks are growing in frequency and severity.
