Prasad Tadepalli

One Explanation is Not Enough: Structured Attention Graphs for Image\n Classification

2020 · arXiv (Cornell University)

Attention maps are a popular way of explaining the decisions of convolutional\nnetworks for image classification. Typically, for each image of interest, a\nsingle attention map is produced, which assigns weights to pixels based on\ntheir importance to …

Self-attention-based Diffusion Model for Time-series Imputation

2024 · Proceedings of the AAAI Symposium Series

Time-series modeling is essential for applications in agriculture, weather forecasting, food production, and more. However, missing data due to sensor malfunctions, power outages, and human errors is a common issue, complicating the training of machine …