Kenji Kawaguchi

Cited by

	All	Since 2019
Citations	7612	7088
h-index	36	35
i10-index	69	65

2300

1150

575

1725

20162017201820192020202120222023202452 146 277 432 524 843 1226 1722 2280

Public access

View all

29 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
Leslie KaelblingVerified email at csail.mit.edu
Vikas VermaAalto University/ MILA/ Google BrainVerified email at google.com
Anirudh GoyalGoogle DeepMind, Mila, Université de MontréalVerified email at umontreal.ca
Jiaoyang HuangUniversity of PennsylvaniaVerified email at wharton.upenn.edu
James ZouStanford UniversityVerified email at stanford.edu
Linjun ZhangAssistant Professor of Statistics, Rutgers UniversityVerified email at rutgers.edu
David Lopez-PazFAIR at MetaVerified email at fb.com
Quoc V. LeResearch Scientist, GoogleVerified email at stanford.edu
Minh-Thang LuongSenior Staff Research Scientist at GoogleVerified email at google.com
Michael MozerGoogle DeepMind; University of ColoradoVerified email at colorado.edu
Dianbo LiuAssistant professor, National University of SingaporeVerified email at nus.edu.sg
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Tomas Lozano-PerezProfessor of Computer Science, MITVerified email at mit.edu
Ferran AletDeepMindVerified email at deepmind.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Stefanie JegelkaTUM and MITVerified email at mit.edu
Chelsea FinnStanford University, Physical IntelligenceVerified email at cs.stanford.edu
Jascha Sohl-DicksteinAnthropicVerified email at anthropic.com

Kenji Kawaguchi

Presidential Young Professor, National University of Singapore

Verified email at nus.edu.sg - Homepage

LLMs Large language model Deep learning AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning without poor local minima K Kawaguchi Advances In Neural Information Processing Systems (NeurIPS), 586-594, 2016	1107	2016
Interpolation consistency training for semi-supervised learning V Verma, K Kawaguchi, A Lamb, J Kannala, A Solin, Y Bengio, ... Neural Networks 145, 90-106, 2022	873	2022
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks AD Jagtap, K Kawaguchi, GE Karniadakis Journal of Computational Physics 404, 109136, 2020	807	2020
Generalization in Deep Learning K Kawaguchi, LP Kaelbling, Y Bengio Cambridge University Press, 2022	645*	2022
Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks AD Jagtap, K Kawaguchi, G Em Karniadakis Proceedings of the Royal Society A 476 (2239), 20200334, 2020	318	2020
How Does Mixup Help With Robustness and Generalization? L Zhang, Z Deng, K Kawaguchi*, A Ghorbani, J Zou International Conference on Learning Representations (ICLR), 2021	266	2021
Combined scaling for zero-shot transfer learning H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ... Neurocomputing 555, 126658, 2023	229*	2023
GraphMix: Improved Training of GNNs for Semi-Supervised Learning V Verma, M Qu, K Kawaguchi, A Lamb, Y Bengio, J Kannala, J Tang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021	180	2021
Theory of Deep Learning III: explaining the non-overfitting puzzle T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ... Massachusetts Institute of Technology, CBMM Memo No. 073, 2018	168*	2018
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions AD Jagtap, Y Shin, K Kawaguchi, GE Karniadakis Neurocomputing 468, 165-180, 2022	147	2022
Bayesian optimization with exponential convergence K Kawaguchi, LP Kaelbling, T Lozano-Pérez Advances in Neural Information Processing Systems (NeurIPS) 28, 2809-2817, 2015	133	2015
Depth Creates No Bad Local Minima H Lu, K Kawaguchi arXiv preprint arXiv:1702.08580, 2017	131	2017
Towards domain-agnostic contrastive learning V Verma, T Luong, K Kawaguchi, H Pham, Q Le International Conference on Machine Learning (ICML), 10530-10541, 2021	127	2021
Multi-Task Learning as a Bargaining Game A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ... International Conference on Machine Learning (ICML), 2022, 2022	117	2022
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? Z Hu, AD Jagtap, GE Karniadakis, K Kawaguchi SIAM Journal on Scientific Computing 44 (5), A3158-A3182, 2022	112	2022
Interpolated adversarial training: Achieving robust neural networks without sacrificing too much accuracy A Lamb, V Verma, K Kawaguchi, A Matyasko, S Khosla, J Kannala, ... Neural Networks, 2022	108	2022
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding Y Xie, K Kawaguchi, Y Zhao, X Zhao, MY Kan, J He, Q Xie Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023	107*	2023
Meta-learning PINN loss functions AF Psaros, K Kawaguchi, GE Karniadakis Journal of Computational Physics 458, 111121, 2022	103	2022
Optimization of graph neural networks: Implicit acceleration by skip connections and more depth K Xu, M Zhang, S Jegelka, K Kawaguchi International Conference on Machine Learning (ICML), 11592-11602, 2021	88	2021
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization K Kawaguchi, H Lu Artificial Intelligence and Statistics (AISTATS), 669-679, 2020	73	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors