Seungyeon Kim

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Sanjiv KumarGoogle Fellow, VP, Google ResearchVerified email at google.com
Guy LebanonDirector at GoogleVerified email at google.com
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Joonseok LeeGoogle Research, Seoul National UniversityVerified email at google.com
Andreas VeitResearch Scientist, GoogleVerified email at cs.cornell.edu
Sai Praneeth KarimireddyUSC | UC Berkeley | EPFLVerified email at usc.edu
Jingzhao ZhangIIIS, Tsinghua UniversityVerified email at mit.edu
Suvrit SraTUM and MITVerified email at mit.edu
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Sadeep JayasumanaResearch Scientist, Google ResearchVerified email at google.com
Felix Xinnan YuSr. Staff Research Scientist, Google New YorkVerified email at google.com
Deokgun ParkResearch Scientist, Stanford UniversityVerified email at stanford.edu
Niklas ElmqvistVillum Investigator and Professor of Computer Science, Aarhus UniversityVerified email at cs.au.dk
Jaegul ChooAssociate Professor, Graduate School of Artificial Intelligence, KAISTVerified email at kaist.ac.kr
Cheng-Yu HsiehPh.D. student, University of WashingtonVerified email at cs.washington.edu
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyVerified email at cc.gatech.edu

Seungyeon Kim

Google Research

Verified email at google.com - Homepage

Machine Learning


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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	304*	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	125	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	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	62	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	29	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	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
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	5	2023
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
Fast spammer detection using structural rank S Kim, H Park, G Lebanon arXiv preprint arXiv:1407.7072, 2014	4	2014

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