Seungyeon Kim

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Sanjiv KumarGoogle Fellow, VP, Google ResearchDirección de correo verificada de google.com
Guy LebanonDirector at GoogleDirección de correo verificada de google.com
Sashank J. ReddiResearch Scientist, Google ResearchDirección de correo verificada de cs.cmu.edu
Ankit Singh RawatResearch Scientist, GoogleDirección de correo verificada de google.com
Aditya Krishna MenonResearch Scientist, GoogleDirección de correo verificada de google.com
Joonseok LeeGoogle Research, Seoul National UniversityDirección de correo verificada de google.com
Andreas VeitResearch Scientist, GoogleDirección de correo verificada de cs.cornell.edu
Sai Praneeth KarimireddyPostdoc, UC BerkeleyDirección de correo verificada de berkeley.edu
Jingzhao ZhangIIIS, Tsinghua UniversityDirección de correo verificada de mit.edu
Suvrit SraTUM and MITDirección de correo verificada de mit.edu
Samy BengioSenior Director, AI and Machine Learning Research, AppleDirección de correo verificada de apple.com
Cho-Jui HsiehUniversity of California, Los AngelesDirección de correo verificada de cs.ucla.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchDirección de correo verificada de google.com
Sadeep JayasumanaResearch Scientist, Google ResearchDirección de correo verificada de google.com
Felix Xinnan YuSr. Staff Research Scientist, Google New YorkDirección de correo verificada de google.com
Deokgun ParkResearch Scientist, Stanford UniversityDirección de correo verificada de stanford.edu
Niklas ElmqvistVillum Investigator and Professor of Computer Science, Aarhus UniversityDirección de correo verificada de cs.au.dk
Jaegul ChooAssociate Professor, Graduate School of Artificial Intelligence, KAISTDirección de correo verificada de kaist.ac.kr
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyDirección de correo verificada de cc.gatech.edu
Cheng-Yu HsiehPh.D. student, University of WashingtonDirección de correo verificada de cs.washington.edu

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Seungyeon Kim

Google Research

Dirección de correo verificada de google.com - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Why are adaptive methods good for attention models? J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra Advances in Neural Information Processing Systems 33, 15383-15393, 2020	298*	2020
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013	257	2013
Local collaborative ranking J Lee, S Bengio, S Kim, G Lebanon, Y Singer Proceedings of the 23rd international conference on World wide web, 85-96, 2014	159	2014
LLORMA: Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer, S Bengio Journal of Machine Learning Research 17 (15), 1-24, 2016	123	2016
A statistical perspective on distillation AK Menon, AS Rawat, S Reddi, S Kim, S Kumar International Conference on Machine Learning, 7632-7642, 2021	109*	2021
ConceptVector: Text visual analytics via interactive lexicon building using word embedding D Park, S Kim, J Lee, J Choo, N Diakopoulos, N Elmqvist IEEE transactions on visualization and computer graphics 24 (1), 361-370, 2017	104	2017
Evaluations and methods for explanation through robustness analysis CY Hsieh, CK Yeh, X Liu, P Ravikumar, S Kim, S Kumar, CJ Hsieh arXiv preprint arXiv:2006.00442, 2020	59	2020
On the reproducibility of neural network predictions S Bhojanapalli, K Wilber, A Veit, AS Rawat, S Kim, A Menon, S Kumar arXiv preprint arXiv:2102.03349, 2021	39	2021
Beyond Sentiment: The Manifold of Human Emotions S Kim, F Li, G Lebanon, I Essa Proceedings of the 16 International Conference on Artificial Intelligence …, 2013	37	2013
Rankdistil: Knowledge distillation for ranking S Reddi, RK Pasumarthi, A Menon, AS Rawat, F Yu, S Kim, A Veit, ... International Conference on Artificial Intelligence and Statistics, 2368-2376, 2021	27	2021
In defense of dual-encoders for neural ranking A Menon, S Jayasumana, AS Rawat, S Kim, S Reddi, S Kumar International Conference on Machine Learning, 15376-15400, 2022	23	2022
Semantic label smoothing for sequence to sequence problems M Lukasik, H Jain, AK Menon, S Kim, S Bhojanapalli, F Yu, S Kumar arXiv preprint arXiv:2010.07447, 2020	21	2020
Automatic feature induction for stagewise collaborative filtering J Lee, M Sun, S Kim, G Lebanon Advances in Neural Information Processing Systems 25, 2012	17	2012
Supervision complexity and its role in knowledge distillation H Harutyunyan, AS Rawat, AK Menon, S Kim, S Kumar arXiv preprint arXiv:2301.12245, 2023	9	2023
Matrix approximation under local low-rank assumption J Lee, S Kim, G Lebanon, Y Singer arXiv preprint arXiv:1301.3192, 2013	9	2013
Embeddistill: A geometric knowledge distillation for information retrieval S Kim, AS Rawat, M Zaheer, S Jayasumana, V Sadhanala, W Jitkrittum, ... arXiv preprint arXiv:2301.12005, 2023	5	2023
Estimating Temporal Dynamics of Human Emotions S Kim, J Lee, G Lebanon, H Park Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015	5	2015
Local Context Sparse Coding S Kim, J Lee, G Lebanon, H Park Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015	5	2015
Efficient training of language models using few-shot learning SJ Reddi, S Miryoosefi, S Karp, S Krishnan, S Kale, S Kim, S Kumar International Conference on Machine Learning, 14553-14568, 2023	4	2023
Fast spammer detection using structural rank S Kim, H Park, G Lebanon arXiv preprint arXiv:1407.7072, 2014	4	2014

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