With more than 100 years of experiences in real-world appliances and applications,
and with our philosophy that what values most is making people's life better,
our challenges in real-world are now in the most exciting phase ever with AI.
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Image Recognition
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Data Analysis
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Robotics
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Voice / Language
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Biometric Data Analysis
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AI / Iot Platform
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IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS)2024
A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation
Masashi Okada, Mayumi Komatsu and Tadahiro Taniguchi
arXiv: https://arxiv.org/abs/2403.13221 -
The 41st International Conference on Machine Learning(ICML 2024)
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen, Huanrui Yang, Yulu Gan, Denis Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang
arXiv: https://arxiv.org/abs/2312.09148 -
The 41st International Conference on Machine Learning(ICML 2024)
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso
arXiv: https://arxiv.org/abs/2306.11180 -
ICML '24 Workshop on Advancing Neural Network Training (WANT): Computational Efficiency, Scalability, and Resource Optimization
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives
Huanrui Yang, Yafeng Huang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang
arXiv: https://arxiv.org/abs/2407.03442 -
The Conference on Uncertainty in Artificial Intelligence(UAI2024)
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata
arXiv: https://arxiv.org/abs/2406.00578