56 citations · 243 across the 35 of their papers we have counts for
6 papers · 1 filter
Adversarial Scrubbing of Demographic Information for Text Classification
Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li +3
Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated targ…
Towards Robust Active Feature Acquisition
Yang Li, Siyuan Shan, Qin Liu +1
Truly intelligent systems are expected to make critical decisions with incomplete and uncertain data. Active feature acquisition (AFA), where features are sequentially acquired to…
Partially Observed Exchangeable Modeling
Yang Li, Junier B. Oliva
Modeling dependencies among features is fundamental for many machine learning tasks. Although there are often multiple related instances that may be leveraged to inform conditional…
Arbitrary Conditional Distributions with Energy
Ryan R. Strauss, Junier B. Oliva
Modeling distributions of covariates, or density estimation, is a core challenge in unsupervised learning. However, the majority of work only considers the joint distribution, whic…
NRTSI: Non-Recurrent Time Series Imputation
Siyuan Shan, Yang Li, Junier B. Oliva
Time series imputation is a fundamental task for understanding time series with missing data. Existing methods either do not directly handle irregularly-sampled data or degrade sev…
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders
David K. Lim, Naim U. Rashid, Junier B. Oliva +1
Deep Learning (DL) methods have dramatically increased in popularity in recent years. While its initial success was demonstrated in the classification and manipulation of image dat…