Matsuo, Yutaka

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

Loyola, P., Marrese-Taylor, E., & Matsuo, Y. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Software Engineering ResearchTopic Modeling

Cited by 128

Joint Multimodal Learning with Deep Generative Models

Suzuki, M., Nakayama, K., & Matsuo, Y. (2016) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 126

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Furuta, H., Lee, K.-H., Nachum, O., Matsuo, Y., Faust, A., Gu, S. S., & Gur, I. (2023) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 115

Multi-class structural damage segmentation using fully convolutional networks

Rubio, J. J., Kashiwa, T., Laiteerapong, T., Deng, W., Nagai, K., Escalera, S., Nakayama, K., Matsuo, Y., & Prendinger, H. (2019) · Computers in Industry

Infrastructure Maintenance and MonitoringStructural Health Monitoring Techniques

Cited by 85

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Yang, R., Liu, H., Marrese-Taylor, E., Zeng, Q., Ke, Y. H., Li, W., Cheng, L., Chen, Q., Caverlee, J., Matsuo, Y., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 5