2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2024★ 2 cited
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang, Yunhao Zhang, Ziao Guo +3
Encoding constraints into neural networks is attractive. This paper studies how to introduce the popular positive linear satisfiability to neural networks. We propose the first dif…
cs.LG2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen, Heshan Fernando, Yiming Ying +1
Multi-objective learning (MOL) problems often arise in emerging machine learning problems when there are multiple learning criteria, data modalities, or learning tasks. Different f…
cs.LG2022
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems
Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska +3
Deep learning has achieved remarkable success in many machine learning tasks such as image classification, speech recognition, and game playing. However, these breakthroughs are of…