25 citations · 43 across the 4 of their papers we have counts for
4 papers
Discovery and Separation of Features for Invariant Representation Learning
Ayush Jaiswal, Rob Brekelmans, Daniel Moyer +3
Supervised machine learning models often associate irrelevant nuisance factors with the prediction target, which hurts generalization. We propose a framework for training robust ne…
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1
We present a systematic study of biases in natural language generation (NLG) by analyzing text generated from prompts that contain mentions of different demographic groups. In this…
QATM: Quality-Aware Template Matching For Deep Learning
Jiaxin Cheng, Yue Wu, Wael Abd-Almageed +1
Finding a template in a search image is one of the core problems many computer vision, such as semantic image semantic, image-to-GPS verification \etc. We propose a novel quality-a…
Temporal Learning and Sequence Modeling for a Job Recommender System
Kuan Liu, Xing Shi, Anoop Kumar +2
We present our solution to the job recommendation task for RecSys Challenge 2016. The main contribution of our work is to combine temporal learning with sequence modeling to captur…