Chen, Shengzhuang

5 publications

TMLR 2025 ADMIRE-BayesOpt: Accelerated Data MIxture RE-Weighting for Language Models with Bayesian Optimization Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz

ICLR 2025 CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-Trained Models Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

NeurIPS 2024 Learning Where to Edit Vision Transformers Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

ICML 2024 Unleashing the Power of Meta-Tuning for Few-Shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei

NeurIPS 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei