| Attentive recurrent comparators P Shyam, S Gupta, A Dukkipati International conference on machine learning, 3173-3181, 2017 | 154 | 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 | 152* | 2019 |
| Learning beyond datasets: Knowledge graph augmented neural networks for natural language processing KM Annervaz, SBR Chowdhury, A Dukkipati In Proceedings of NAACL HLT: 313-322, 2018., 2018 | 106 | 2018 |
| Consistency of spectral hypergraph partitioning under planted partition model D Ghoshdastidar, A Dukkipati The Annals of Statistics 45 (1), 289-315, 2017 | 105 | 2017 |
| Consistency of spectral partitioning of uniform hypergraphs under planted partition model D Ghoshdastidar, A Dukkipati Advances in Neural Information Processing Systems 27, 2014 | 102 | 2014 |
| Variational methods for conditional multimodal deep learning G Pandey, A Dukkipati 2017 international joint conference on neural networks (IJCNN), 308-315, 2017 | 87 | 2017 |
| SiameseGAN: a generative model for denoising of spectral domain optical coherence tomography images NA Kande, R Dakhane, A Dukkipati, PK Yalavarthy IEEE Transactions on Medical Imaging 40 (1), 180-192, 2020 | 64 | 2020 |
| A provable generalized tensor spectral method for uniform hypergraph partitioning D Ghoshdastidar, A Dukkipati International Conference on Machine Learning, 400-409, 2015 | 57 | 2015 |
| Uniform hypergraph partitioning: Provable tensor methods and sampling techniques D Ghoshdastidar, A Dukkipati Journal of Machine Learning Research 18 (50), 1-41, 2017 | 55 | 2017 |
| Spectral clustering using multilinear SVD: Analysis, approximations and applications D Ghoshdastidar, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 36 | 2015 |
| To go deep or wide in learning? G Pandey, A Dukkipati Artificial Intelligence and Statistics, 724-732, 2014 | 31 | 2014 |
| Networked multi-agent reinforcement learning with emergent communication S Gupta, R Hazra, A Dukkipati arXiv preprint arXiv:2004.02780, 2020 | 28 | 2020 |
| 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 | 27 | 2006 |
| Learning by stretching deep networks G Pandey, A Dukkipati International Conference on Machine Learning, 1719-1727, 2014 | 22 | 2014 |
| Neural latent space model for dynamic networks and temporal knowledge graphs T Gracious, S Gupta, A Kanthali, RM Castro, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4054-4062, 2021 | 19 | 2021 |
| Image generation and editing with variational info generative AdversarialNetworks M Gorijala, A Dukkipati arXiv preprint arXiv:1701.04568, 2017 | 18 | 2017 |
| 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 | 18 | 2004 |
| Protecting individual interests across clusters: Spectral clustering with guarantees S Gupta, A Dukkipati arXiv e-prints, arXiv: 2105.03714, 2021 | 16 | 2021 |
| 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 |
| Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation R Hazra, P Dutta, S Gupta, MA Qaathir, A Dukkipati arXiv preprint arXiv:1911.00234, 2019 | 15 | 2019 |
