Seungyeon Kim

Citirano

	Sve	Od 2019.
Citati	1408	1077
H-indeks	13	12
i10-indeks	15	13

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Sanjiv KumarGoogle Fellow, VP, Google ResearchPotvrđena adresa e-pošte na google.com
Guy LebanonDirector at GooglePotvrđena adresa e-pošte na google.com
Sashank J. ReddiResearch Scientist, Google ResearchPotvrđena adresa e-pošte na cs.cmu.edu
Ankit Singh RawatResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Aditya Krishna MenonResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Joonseok LeeGoogle Research, Seoul National UniversityPotvrđena adresa e-pošte na google.com
Andreas VeitResearch Scientist, GooglePotvrđena adresa e-pošte na cs.cornell.edu
Sai Praneeth KarimireddyUSCPotvrđena adresa e-pošte na usc.edu
Jingzhao ZhangIIIS, Tsinghua UniversityPotvrđena adresa e-pošte na mit.edu
Suvrit SraTUM and MITPotvrđena adresa e-pošte na mit.edu
Samy BengioSenior Director, AI and Machine Learning Research, ApplePotvrđena adresa e-pošte na apple.com
Cho-Jui HsiehUniversity of California, Los AngelesPotvrđena adresa e-pošte na cs.ucla.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchPotvrđena adresa e-pošte na google.com
Sadeep JayasumanaResearch Scientist, Google ResearchPotvrđena adresa e-pošte na google.com
Felix Xinnan YuSr. Staff Research Scientist, Google New YorkPotvrđena adresa e-pošte na google.com
Deokgun ParkResearch Scientist, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
Niklas ElmqvistVillum Investigator and Professor of Computer Science, Aarhus UniversityPotvrđena adresa e-pošte na cs.au.dk
Jaegul ChooAssociate Professor, Graduate School of Artificial Intelligence, KAISTPotvrđena adresa e-pošte na kaist.ac.kr
Cheng-Yu HsiehPh.D. student, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyPotvrđena adresa e-pošte na cc.gatech.edu

Prati

Seungyeon Kim

Google DeepMind

Potvrđena adresa e-pošte na google.com - Početna stranica

Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	335*	2020
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013	260	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	160	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	127	2016
A statistical perspective on distillation AK Menon, AS Rawat, S Reddi, S Kim, S Kumar International Conference on Machine Learning, 7632-7642, 2021	118*	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	108	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	63	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	41	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	32	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	27	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	12	2023
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	10	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	6	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
Fast spammer detection using structural rank S Kim, H Park, G Lebanon arXiv preprint arXiv:1407.7072, 2014	4	2014

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