4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang, Kaiwen Hu, Sharut Gupta +3
Contrastive learning has been a leading paradigm for self-supervised learning, but it is widely observed that it comes at the price of sacrificing useful features (\eg colors) by b…
quant-ph2024★ 4 cited
Practical hybrid PQC-QKD protocols with enhanced security and performance
Pei Zeng, Debayan Bandyopadhyay, José A. Méndez Méndez +10
Quantum resistance is vital for emerging cryptographic systems as quantum technologies continue to advance towards large-scale, fault-tolerant quantum computers. Resistance may be…
cs.LG2023★ 1 cited
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
Chaoqi Wang, Ziyu Ye, Zhe Feng +2
Standard contextual bandit problem assumes that all the relevant contexts are observed before the algorithm chooses an arm. This modeling paradigm, while useful, often falls short…