Adaptive Sensing and Active Learning Reading List

Curated by Mouhssine Rifaki | Stanford Electrical Engineering | Last updated August 2026

Systems that decide what to sense, when, and how, based on the downstream task.

Adaptive Sensing and Active Learning: 10 key papers

1. Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems
   Hor and Arbabian. arXiv 2023.
2. Revisiting Active Perception
   Bajcsy et al. arXiv 2016.
3. Deep Kalman Filters
   Krishnan et al. arXiv 2015.
4. Active Perception using Light Curtains for Autonomous Driving
   Ancha et al. arXiv 2020.
5. Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
   Jayaraman and Grauman. arXiv 2017.
6. Embodied Question Answering
   Das et al. arXiv 2017.
7. Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
   Ramakrishnan et al. arXiv 2019.
8. Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information
   Candes et al. arXiv 2004.
9. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
   Haupt et al. arXiv 2010.
10. Learning Exploration Policies for Navigation
    Chen et al. arXiv 2019.

Related reading lists

• Active Learning & Adaptive Sampling
• Autonomous Driving with RL
• Information Theory & RL
• Retrieval-Augmented Generation
• Low-Rank Structure in Machine Learning
• Representation Learning for RL
• Bayesian RL & Thompson Sampling
• Offline Imitation Learning