11 citations · 35 across the 12 of their papers we have counts for
4 papers · 1 filter
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription
Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller +1
We present a self-supervised pre-training approach for learning rich visual language representations for both handwritten and printed historical document transcription. After super…
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi +3
Global models are trained to be as generalizable as possible, with user invariance considered desirable since the models are shared across multitudes of users. As such, these model…
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
Text style can reveal sensitive attributes of the author (e.g. race or age) to the reader, which can, in turn, lead to privacy violations and bias in both human and algorithmic dec…
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa +3
Neural language models are known to have a high capacity for memorization of training samples. This may have serious privacy implications when training models on user content such…