22 citations · 44 across the 13 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 1 cited
Pruning Ternary Quantization
Dan Liu, Xi Chen, Jie Fu +2
Inference time, model size, and accuracy are three key factors in deep model compression. Most of the existing work addresses these three key factors separately as it is difficult…
cs.IR2021★ 1 cited
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation
Haolun Wu, Chen Ma, Bhaskar Mitra +2
Nowadays, most online services are hosted on multi-stakeholder marketplaces, where consumers and producers may have different objectives. Conventional recommendation systems, howev…
cs.IR2021★ 2 cited
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Chen Ma, Liheng Ma, Yingxue Zhang +3
Personalized recommender systems are increasingly important as more content and services become available and users struggle to identify what might interest them. Thanks to the abi…