Akshat Pandey — accepted AI-conference papers

2023

What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar +3

ACL 2023long

Diffusion models are a milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses. In this paper, we perform a text-image attribution analysis on Stable Diffusion, a recently open-sourced model. To produce attribution maps, we upscale and aggregate cr…

Cited by 171 Source ↗PDF ↗code ↗Scholar ↗

2022

SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale

Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev +4

EMNLP 2022industry

End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweight computation for inference. Of course, this impedes commercialization since most companies lack vast human and computat…

Cited by 6 Source ↗PDF ↗Scholar ↗