1 citations · 1 across the 2 of their papers we have counts for
4 papers
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
Saptarshi Mandal, Xiaojun Lin, R. Srikant
Knowledge distillation, where a small student model learns from a pre-trained large teacher model, has achieved substantial empirical success since the seminal work of \citep{hinto…
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery
Ajinkya Kiran Mulay, Xiaojun Lin
Sparse basis recovery is a classical and important statistical learning problem when the number of model dimensions is much larger than the number of samples . However, ther…
Principles and Practices of Large-Scale Code Analysis at Ant Group: A Data- and Logic-Oriented Approach
Xiaoheng Xie, Gang Fan, Xiaojun Lin +21
Large-scale software development requires dynamic and multifaceted static code analysis that extends beyond the capabilities of traditional tools. Existing tools like CodeQL lack c…
Online Compact Convexified Factorization Machine
Wenpeng Zhang, Xiao Lin, Peilin Zhao
Factorization Machine (FM) is a supervised learning approach with a powerful capability of feature engineering. It yields state-of-the-art performance in various batch learning tas…