Learning Transferable Sensor Models via Language-Informed Pretraining
cs.AI, cs.LG
Submitted: 2026-03-12
Updated: 2026-09-27
Code: https://github.com/yuc0805/SLIP
Terminology
Sources
- Large-scale Training of Foundation Models for Wearable Biosignals
- FlexiViT: One Model for All Patch Sizes
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
- SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
- MOMENT: A Family of Open Time-series Foundation Models
- Masked Autoencoders Are Scalable Vision Learners
- Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
- Sundial: A Family of Highly Capable Time Series Foundation Models
- Decoupled Weight Decay Regularization
- Scaling Wearable Foundation Models
- EEG-CLIP : Learning EEG representations from natural language descriptions
- PaPaGei: Open Foundation Models for Optical Physiological Signals
- Learning Transferable Visual Models From Natural Language Supervision
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- RoFormer: Enhanced Transformer with Rotary Position Embedding
- Gemma 3 Technical Report
- Leveraging Vision-Language Models for Granular Market Change Prediction
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection