Research map / Label-efficient and robust learning / Self-supervised and contrastive
Self-Supervised Learning of Appliance Usage
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring (AAAI 2018 · similarity 0.86)
- Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation (AAAI 2018 · similarity 0.86)
- Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts (AAAI 2025 · similarity 0.82)
- PowerPM: Foundation Model for Power Systems (NeurIPS 2024 · similarity 0.80)
- Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students (AAAI 2025 · similarity 0.79)
- Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition (AAAI 2025 · similarity 0.79)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
