Kawaguchi, Kenji

Deep learning without poor local minima

Kawaguchi, K. (2016) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 592

Self-Evaluation Guided Beam Search for Reasoning

Xie, Y., Kawaguchi, K., Zhao, Y., Zhao, J. X., Kan, M.-Y., He, J., & Xie, M. (2023) · Advances in Neural Information Processing Systems 36

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

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Investigating Layer Importance in Large Language Models

Zhang, Y., Dong, Y., & Kawaguchi, K. (2024) · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Topic Modeling

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Can AI Be as Creative as Humans?

Wang, H., Zou, J., Mozer, M., Goyal, A., Lamb, A., Zhang, L., Su, W. J., Deng, Z., Xie, M. Q., Brown, H., et al. (2024) · arXiv

Creativity in Education and NeuroscienceArtificial Intelligence Applications

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From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs

Wang, H., Liang, W., Fu, Z., Zheng, N., Zhang, Y., Tong, Y., Zhu, T., Jiang, H., Li, C., Wu, J., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0