| An autoencoder approach to learning bilingual word representations S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ... Advances in neural information processing systems 27, 2014 | 349 | 2014 |
| Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph A Saha, V Pahuja, M Khapra, K Sankaranarayanan, S Chandar Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 134 | 2018 |
| Stance classification of context-dependent claims R Bar-Haim, I Bhattacharya, F Dinuzzo, A Saha, N Slonim Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 133 | 2017 |
| DuoRC: Towards complex language understanding with paraphrased reading comprehension A Saha, R Aralikatte, MM Khapra, K Sankaranarayanan arXiv preprint arXiv:1804.07927, 2018 | 77 | 2018 |
| Towards building large scale multimodal domain-aware conversation systems A Saha, M Khapra, K Sankaranarayanan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 67 | 2018 |
| Security enhanced communication in wireless sensor networks using reed-muller codes and partially balanced incomplete block designs P Sarkar, A Saha J Converg 2 (1), 2011 | 42 | 2011 |
| Complex program induction for querying knowledge bases in the absence of gold programs A Saha, GA Ansari, A Laddha, K Sankaranarayanan, S Chakrabarti Transactions of the Association for Computational Linguistics 7, 185-200, 2019 | 32 | 2019 |
| Neural Program Induction for KBQA Without Gold Programs or Query Annotations. GA Ansari, A Saha, V Kumar, M Bhambhani, K Sankaranarayanan, ... IJCAI, 4890-4896, 2019 | 22 | 2019 |
| Multilingual deep learning S Chandar, MM Khapra, B Ravindran, V Raykar, A Saha Deep Learning Workshop at NIPS, 2013 | 20 | 2013 |
| Secure connectivity model in Wireless Sensor Networks (WSN) using first order Reed-Muller codes P Sarkar, A Saha, MU Chowdhury The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems …, 2010 | 19 | 2010 |
| A correlational encoder decoder architecture for pivot based sequence generation A Saha, MM Khapra, S Chandar, J Rajendran, K Cho arXiv preprint arXiv:1606.04754, 2016 | 16 | 2016 |
| Data Split Strategiesfor Evolving Predictive Models VC Raykar, A Saha Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015 | 14 | 2015 |
| What kinds of relational features are useful for statistical learning? A Saha, A Srinivasan, G Ramakrishnan International conference on inductive logic programming, 209-224, 2012 | 13 | 2012 |
| Learning disentangled multimodal representations for the fashion domain A Saha, M Nawhal, MM Khapra, VC Raykar 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 557-566, 2018 | 12 | 2018 |
| Rule ensemble learning using hierarchical kernels in structured output spaces N Nair, A Saha, G Ramakrishnan, S Krishnaswamy Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 8 | 2012 |
| Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations A Saha, M Khapra, K Sankaranarayanan arXiv preprint arXiv:1704.00200, 2017 | 7 | 2017 |
| Weakly supervised neuro-symbolic module networks for numerical reasoning A Saha, S Joty, SCH Hoi arXiv preprint arXiv:2101.11802, 2021 | 6 | 2021 |
| Inhibition of seryl tRNA synthetase by seryl nucleoside moiety (SB-217452) of albomycin antibiotic A Saha, S Dutta, N Nandi Journal of Biomolecular Structure and Dynamics 38 (8), 2440-2454, 2020 | 6 | 2020 |
| Scene Graph based Image Retrieval--A case study on the CLEVR Dataset S Ramnath, A Saha, S Chakrabarti, MM Khapra arXiv preprint arXiv:1911.00850, 2019 | 6 | 2019 |
| Risk averse reinforcement learning for mixed multi-agent environments DSK Reddy, A Saha, SG Tamilselvam, P Agrawal, P Dayama Proceedings of the 18th international conference on autonomous agents and …, 2019 | 6 | 2019 |
