7 citations · 7 across the 4 of their papers we have counts for
4 papers
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava +10
In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases cont…
Social Stratification in Networks: Insights from Co-Authorship Networks
Zeinab S. Jalali, Josh Introne, Sucheta Soundarajan
It has been observed that real-world social networks often exhibit stratification along economic or other lines, with consequences for class mobility and access to opportunities. W…
On Measuring the Diversity of Organizational Networks
Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan
The interaction patterns of employees in social and professional networks play an important role in the success of employees and organizations as a whole. However, in many fields t…
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
Geng Yuan, Xiaolong Ma, Caiwen Ding +7
The high computation and memory storage of large deep neural networks (DNNs) models pose intensive challenges to the conventional Von-Neumann architecture, incurring substantial da…