79 citations · 406 across the 47 of their papers we have counts for
5 papers · 1 filter
Local Clustering with Mean Teacher for Semi-supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra +2
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable performance on several semi-supervised benchmark datasets. MT maintains a teacher model's weights as the ex…
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin, Yufan Huang, Xiaofan He +2
Federated learning (FL) has emerged as a prominent distributed learning paradigm. FL entails some pressing needs for developing novel parameter estimation approaches with theoretic…
Adversarial Distillation for Ordered Top-k Attacks
Zekun Zhang, Tianfu Wu
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, especially white-box targeted attacks. One scheme of learning attacks is to design a proper adversarial objective…
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu +2
Addressing catastrophic forgetting is one of the key challenges in continual learning where machine learning systems are trained with sequential or streaming tasks. Despite recent…
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Sameera Lanka, Tianfu Wu
Experience replay is an important technique for addressing sample-inefficiency in deep reinforcement learning (RL), but faces difficulty in learning from binary and sparse rewards…