PaperMetrixEvidence-aware discovery
EN
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Janardhan Rao Doppa

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data

    2020

    Domain adaptation (DA) offers a valuable means to reuse data and models for new problem domains. However, robust techniques have not yet been considered for time series data with varying amounts of data availability. In …

  2. Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis

    2023 · arXiv (Cornell University)

    Safe deployment of deep neural networks in high-stake real-world applications requires theoretically sound uncertainty quantification. Conformal prediction (CP) is a principled framework for uncertainty quantification of deep models in the form of prediction set for …