4 citations · 5 across the 4 of their papers we have counts for
4 papers
Retrieval-based Knowledge Augmented Vision Language Pre-training
Jiahua Rao, Zifei Shan, Longpo Liu +2
With the recent progress in large-scale vision and language representation learning, Vision Language Pre-training (VLP) models have achieved promising improvements on various multi…
Towards High-Order Complementary Recommendation via Logical Reasoning Network
Longfeng Wu, Yao Zhou, Dawei Zhou
Complementary recommendation gains increasing attention in e-commerce since it expedites the process of finding frequently-bought-with products for users in their shopping journey.…
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching
Yao Zhou, Jingrui He
The unprecedented demand for large amount of data has catalyzed the trend of combining human insights with machine learning techniques, which facilitate the use of crowdsourcing to…
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
Yao Zhou, Arun Reddy Nelakurthi, Jingrui He
With the increasing demand for large amount of labeled data, crowdsourcing has been used in many large-scale data mining applications. However, most existing works in crowdsourcing…