35 citations · 41 across the 5 of their papers we have counts for
5 papers
Trade-off Between Efficiency and Consistency for Removal-based Explanations
Yifan Zhang, Haowei He, Zhiquan Tan +1
In the current landscape of explanation methodologies, most predominant approaches, such as SHAP and LIME, employ removal-based techniques to evaluate the impact of individual feat…
Anomaly Detection with Test Time Augmentation and Consistency Evaluation
Haowei He, Jiaye Teng, Yang Yuan
Deep neural networks are known to be vulnerable to unseen data: they may wrongly assign high confidence stcores to out-distribuion samples. Recent works try to solve the problem us…
EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation
Haowei He, Jingzhao Zhang, Yanan Wang +9
Electric vehicles (EVs) play an important role in reducing carbon emissions. As EV adoption accelerates, safety issues caused by EV batteries have become an important research topi…
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng, Weiran Huang, Haowei He
Pretext-based self-supervised learning learns the semantic representation via a handcrafted pretext task over unlabeled data and then uses the learned representation for downstream…
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
Despite the non-convex nature of their loss functions, deep neural networks are known to generalize well when optimized with stochastic gradient descent (SGD). Recent work conjectu…