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Found 5 papers, 2 papers with code
Data Interpreter: An LLM Agent For Data Science
Large Language Model (LLM)-based agents have demonstrated remarkable effectiveness.
Multi-class Temporal Logic Neural Networks
Time-series data can represent the behaviors of autonomous systems, such as drones and self-driving cars.
Interpretable Generative Adversarial Imitation Learning
Imitation learning methods have demonstrated considerable success in teaching autonomous systems complex tasks through expert demonstrations.
Education distillation:getting student models to learn in shcools
Specifically, it is proposed to take fragmented student models divided from the complete student model as lower-grade models.
Learning Signal Temporal Logic through Neural Network for Interpretable Classification
Machine learning techniques using neural networks have achieved promising success for time-series data classification.
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