| Attentive Recurrent Comparators P Shyam, S Gupta, A Dukkipati International Conference on Machine Learning (ICML), 3173-3181, 2017 | 74 | 2017 |
| Skip residual pairwise networks with learnable comparative functions for few-shot learning A Mehrotra, A Dukkipati 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 886-894, 2019 | 71* | 2019 |
| Consistency of spectral partitioning of uniform hypergraphs under planted partition model D Ghoshdastidar, A Dukkipati Advances in Neural Information Processing Systems 27, 397-405, 2014 | 47 | 2014 |
| Consistency of spectral hypergraph partitioning under planted partition model D Ghoshdastidar, A Dukkipati Annals of Statistics 45 (1), 289-315, 2017 | 42 | 2017 |
| Learning beyond datasets: Knowledge graph augmented neural networks for natural language processing KM Annervaz, S Chowdhury, A Dukkipati NAACL HLT, 2018 | 30 | 2018 |
| A provable generalized tensor spectral method for uniform hypergraph partitioning D Ghoshdastidar, A Dukkipati International Conference on Machine Learning, 400-409, 2015 | 28 | 2015 |
| Variational methods for conditional multimodal deep learning G Pandey, A Dukkipati 2017 International Joint Conference on Neural Networks (IJCNN), 308-315, 2017 | 25 | 2017 |
| Nonextensive triangle equality and other properties of Tsallis relative-entropy minimization A Dukkipati, MN Murty, S Bhatnagar Physica A: Statistical Mechanics and its Applications 361 (1), 124-138, 2006 | 25 | 2006 |
| To go deep or wide in learning? G Pandey, A Dukkipati International Conference on Artificial Intelligence and Statistics (AISTATS …, 2014 | 23 | 2014 |
| Spectral clustering using multilinear SVD: Analysis, approximations and applications D Ghoshdastidar, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 22 | 2015 |
| Uniform hypergraph partitioning: Provable tensor methods and sampling techniques D Ghoshdastidar, A Dukkipati The Journal of Machine Learning Research 18 (1), 1638-1678, 2017 | 20 | 2017 |
| Learning by stretching deep networks G Pandey, A Dukkipati International Conference on Machine Learning, 1719-1727, 2014 | 20 | 2014 |
| A neural architecture mimicking humans end-to-end for natural language inference B Paria, KM Annervaz, A Dukkipati, A Chatterjee, S Podder arXiv preprint arXiv:1611.04741, 2016 | 16 | 2016 |
| Cauchy annealing schedule: An annealing schedule for Boltzmann selection scheme in evolutionary algorithms A Dukkipati, MN Murty, S Bhatnagar Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 16 | 2004 |
| Variational methods for conditional multimodal learning: Generating human faces from attributes G Pandey, A Dukkipati arXiv preprint arXiv:1603.01801 6, 2016 | 15 | 2016 |
| Reduced Gröbner bases and Macaulay–Buchberger basis theorem over Noetherian rings M Francis, A Dukkipati Journal of Symbolic Computation 65, 1-14, 2014 | 15 | 2014 |
| Image generation and editing with variational info generative AdversarialNetworks M Gorijala, A Dukkipati arXiv preprint arXiv:1701.04568, 2017 | 12 | 2017 |
| On generalized measures of information with maximum and minimum entropy prescriptions A Dukkipati Computer Science and Automation, Indian Institute of Science, Bangalore, 2006 | 11 | 2006 |
| On maximum entropy and minimum KL-divergence optimization by Gröbner basis methods A Dukkipati Applied Mathematics and Computation 218 (23), 11674-11687, 2012 | 10 | 2012 |
| Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework A Dukkipati, MN Murty, S Bhatnagar Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005 | 9 | 2005 |
