Yeming Wen
Publications by Year
Research Areas
Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Stochastic Gradient Optimization Techniques, Topic Modeling, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Benchmarking Model-Based Reinforcement Learning(2019)242 cited
- → Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches(2018)175 cited
- → BatchEnsemble: An Alternative Approach to Efficient Ensemble and\n Lifelong Learning(2020)127 cited
- → A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness(2022)36 cited
- → Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors(2020)33 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.(2019)
- → Natural Language to Code Generation in Interactive Data Science Notebooks(2023)17 cited