no code implementations • 9 Dec 2023 • Vivek Miglani, Aobo Yang, Aram H. Markosyan, Diego Garcia-Olano, Narine Kokhlikyan
Captum is a comprehensive library for model explainability in PyTorch, offering a range of methods from the interpretability literature to enhance users' understanding of PyTorch models.
no code implementations • 18 Jan 2023 • Zhongxi Li, Aobo Yang, Gerry Chen, Nima Tashakor, Zhiyong Zeng, Angel V. Peterchev, Stefan M. Goetz
Furthermore, it can substantially reduce the distortion, particularly at lower modulation indices, e. g., down to 1/2 compared to conventional space-vector modulation and even 1/3 for discontinuous pulse-width modulation with hard-wired battery.
no code implementations • 1 Nov 2021 • Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i. e., comparative explanations about the recommended items.
no code implementations • 24 Jan 2021 • Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
At training time, the two learning tasks are joined by a latent sentiment vector, which is encoded by the recommendation module and used to make word choices for explanation generation.