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Found 7 papers, 0 papers with code
Monte Carlo Tree Search for Recipe Generation using GPT-2
Automatic food recipe generation methods provide a creative tool for chefs to explore and to create new, and interesting culinary delights.
Machine Teaching for Building Modular AI Agents based on Zero-shot Learners
The recent advances in large language models (LLMs) have led to the creation of many modular AI agents.
Investigating the Correlation between Force Output, Strains, and Pressure for Active Skeletal Muscle Contractions
Experimental observations suggest that the force output of the skeletal muscle tissue can be correlated to the intra-muscular pressure generated by the muscle belly.
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems
This work presents a multi-resolution physics-informed recurrent neural network (MR PI-RNN), for simultaneous prediction of musculoskeletal (MSK) motion and parameter identification of the MSK systems.
Human-AI Interaction Design in Machine Teaching
Machine Teaching (MT) is an interactive process where a human and a machine interact with the goal of training a machine learning model (ML) for a specified task.
A Framework for Interactive Knowledge-Aided Machine Teaching
Machine Teaching (MT) is an interactive process where humans train a machine learning model by playing the role of a teacher.
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS
Building Automatic Speech Recognition (ASR) systems for code-switched speech has recently gained renewed attention due to the widespread use of speech technologies in multilingual communities worldwide.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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