565 citations · 702 across the 11 of their papers we have counts for
3 papers · 1 filter
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Unsupervised Motion Representation Learning with Capsule Autoencoders
Ziwei Xu, Xudong Shen, Yongkang Wong +1
We propose the Motion Capsule Autoencoder (MCAE), which addresses a key challenge in the unsupervised learning of motion representations: transformation invariance. MCAE models mot…
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Xudong Shen, Yongkang Wong, Mohan Kankanhalli
Motivated by scenarios where data is used for diverse prediction tasks, we study whether fair representation can be used to guarantee fairness for unknown tasks and for multiple fa…