Abhay Kumar Aman(IGNTU)

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	All	Since 2019
Citations	790005	498577
h-index	311	225
i10-index	1719	1247

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Co-authors

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ian GoodfellowDeepMindVerified email at deepmind.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Keith Tobias ButlerDepartment of Chemistry, University College LondonVerified email at ucl.ac.uk
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Olexandr IsayevAssociate Professor, Carnegie Mellon UniversityVerified email at olexandrisayev.com
Thomas KarnowskiOak Ridge National LaboratoryVerified email at ornl.gov
Vasant DharNew York UniversityVerified email at stern.nyu.edu
Aron WalshDepartment of Materials, Imperial College LondonVerified email at imperial.ac.uk
Andrew NgStanford UniversityVerified email at cs.stanford.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
David Warde-FarleyStaff Research Scientist at Google DeepMindVerified email at google.com
Mehdi MirzaDeepMindVerified email at google.com
KW TobinOak Ridge Associated UniversitiesVerified email at orau.org
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tommi JaakkolaMITVerified email at csail.mit.edu
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu

Abhay Kumar Aman(IGNTU)

Assistant professor in DIMT (computer science and engineering)

Verified email at dimt.edu.in

Nature Language Processing Machine Learning Artificial Intelligence Data Science CV


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014	76596*	2014
Deep learning I Goodfellow, Y Bengio, A Courville MIT press, 2016	62540	2016
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	52800	2003
{TensorFlow}: a system for {Large-Scale} machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016	31199	2016
Explaining and harnessing adversarial examples IJ Goodfellow, J Shlens, C Szegedy arXiv preprint arXiv:1412.6572, 2014	20207	2014
Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013	16132	2013
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12417	2001
Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016	12118	2016
Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Advances in neural information processing systems 29, 2016	10008	2016
Dropout as a bayesian approximation: Representing model uncertainty in deep learning Y Gal, Z Ghahramani international conference on machine learning, 1050-1059, 2016	9788	2016
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	8453	2015
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	7936	2015
Combining labeled and unlabeled data with co-training A Blum, T Mitchell Proceedings of the eleventh annual conference on Computational learning …, 1998	7585	1998
Adversarial examples in the physical world A Kurakin, IJ Goodfellow, S Bengio Artificial intelligence safety and security, 99-112, 2018	6108	2018
Deep learning with differential privacy M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov, K Talwar, L Zhang Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016	5876	2016
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	5856	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	5612	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5410	2008
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5340	2004
Semi-supervised learning using gaussian fields and harmonic functions X Zhu, Z Ghahramani, JD Lafferty Proceedings of the 20th International conference on Machine learning (ICML …, 2003	5130	2003

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