Sungjin Ahn 个人学术档案 - 学术资源搜索

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的电子邮件经过验证
Jaesik YoonSAP, KAIST在 sap.com 的电子邮件经过验证
Gautam SinghPhD Candidate, Department of Computer Science, Rutgers University在 rutgers.edu 的电子邮件经过验证
Fei DengPhD Candidate, Department of Computer Science, Rutgers University在 rutgers.edu 的电子邮件经过验证
Jindong JiangRutgers University在 rutgers.edu 的电子邮件经过验证
Caglar GulcehreAI Researcher, Prof at EPFL, Consultant@Google DeepMind, ex-Staff Research Scientist@Google DeepMind在 google.com 的电子邮件经过验证
Yi-Fu WuRutgers University在 rutgers.edu 的电子邮件经过验证
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Taesup KimAssistant Professor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
Daeyoung KimProfessor of School of Computing, KAIST在 kaist.ac.kr 的电子邮件经过验证
Sarath ChandarAssociate Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair. Canada Research Chair.在 polymtl.ca 的电子邮件经过验证
Ousmane Amadou DiaMeta, Inc.在 fb.com 的电子邮件经过验证
Sungwoong KimAssociate Professor, Korea University在 korea.ac.kr 的电子邮件经过验证
Skand PeriOregon State University在 oregonstate.edu 的电子邮件经过验证
Anoop KorattikaraGoogle在 google.com 的电子邮件经过验证
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chair在 umontreal.ca 的电子邮件经过验证
Alberto García-DuránAtinary Technologies在 atinary.com 的电子邮件经过验证
Zhixuan LinUniversity of Montreal; Mila在 mila.quebec 的电子邮件经过验证
Bowen ZhouChair Professor, Department of Electrical Engineering, Tsinghua University; Founder of Frontis.ai在 tsinghua.edu.cn 的电子邮件经过验证
Junyoung ChungResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证

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Sungjin Ahn

Associate Professor, KAIST

在 kaist.ac.kr 的电子邮件经过验证 - 首页

Machine Learning Deep Learning Reinforcement Learning AI Cognitive Science


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Pointing the Unknown Words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	668	2016
Hierarchical Multiscale Recurrent Neural Networks J Chung, S Ahn, Y Bengio International Conference on Learning Representations (ICLR), 2017	641	2017
Bayesian Model-Agnostic Meta-Learning J Yoon, T Kim, O Dia, S Kim, Y Bengio, S Ahn Advances in Neural Information Processing Systems, 7332-7342, 2018	603*	2018
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S Ahn, A Koratticara, M Welling International Conference on Machine Learning 2012 (ICML'12), 2012	352	2012
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus I Vlad Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, ... arXiv e-prints, arXiv: 1603.06807, 2016	349*	2016
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition Z Lin, YF Wu, SV Peri, W Sun, G Singh, F Deng, J Jiang, S Ahn arXiv preprint arXiv:2001.02407, 2020	235	2020
Denoising Criterion for Variational Auto-Encoding Framework D Im, S Ahn, R Memisevic, Y Bengio Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	229	2017
A²S: Automated Agriculture System based on WSN S Yoo, J Kim, T Kim, S Ahn, J Sung, D Kim 2007 IEEE International Symposium on Consumer Electronics, 1-5, 2007	188	2007
A Neural Knowledge Language Model S Ahn, H Choi, T Pärnamaa, Y Bengio arXiv preprint arXiv:1608.00318, 2016	152	2016
SCALOR: Generative World Models with Scalable Object Representations J Jiang, S Janghorbani, G de Melo, S Ahn arXiv preprint arXiv:1910.02384, 2019	137*	2019
Distributed Stochastic Gradient MCMC S Ahn, B Shahbaba, M Welling International Conference on Machine Learning 2014 (ICML'14), 2014	126	2014
Illiterate DALLE Learns to Compose G Singh, F Deng, S Ahn International Conference on Learning Representations 2022 (ICLR'22), 2022	108*	2022
Hierarchical Memory Networks S Chandar, S Ahn, H Larochelle, P Vincent, G Tesauro, Y Bengio arXiv preprint arXiv:1605.07427, 2016	105	2016
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos G Singh, YF Wu, S Ahn Advances in Neural Information Processing Systems 2022 (NeurIPS'22), 2022	83	2022
Sequential Neural Processes G Singh, J Yoon, Y Son, S Ahn Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019	79	2019
Variational Temporal Abstraction T Kim, S Ahn, Y Bengio Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019	75	2019
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC S Ahn, A Korattikara, N Liu, S Rajan, M Welling Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	72	2015
Improving Generative Imagination in Object-Centric World Models Z Lin, YF Wu, S Peri, B Fu, J Jiang, S Ahn International Conference on Machine Learning 2020 (ICML'20), 2020	66	2020
TransDreamer: Reinforcement Learning with Transformer World Models C Chen, YF Wu, J Yoon, S Ahn arXiv preprint arXiv:2202.09481, 2022	65	2022
Proactive Context-Aware Sensor Networks S Ahn, D Kim European Workshop on Wireless Sensor Networks, 38-53, 2006	64	2006

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