| 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 | 400 | 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 | 248 | 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 | 216 | 2017 |
| DuoRC: Towards complex language understanding with paraphrased reading comprehension A Saha, R Aralikatte, MM Khapra, K Sankaranarayanan arXiv preprint arXiv:1804.07927, 2018 | 151 | 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 | 127 | 2018 |
| 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 | 61 | 2019 |
| 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 |
| 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 | 40 | 2019 |
| Merlion: A machine learning library for time series A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ... arXiv preprint arXiv:2109.09265, 2021 | 32 | 2021 |
| Data split strategiesfor evolving predictive models VC Raykar, A Saha Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 30 | 2015 |
| Codechain: Towards modular code generation through chain of self-revisions with representative sub-modules H Le, H Chen, A Saha, A Gokul, D Sahoo, S Joty arXiv preprint arXiv:2310.08992, 2023 | 28 | 2023 |
| Mining root cause knowledge from cloud service incident investigations for aiops A Saha, SCH Hoi Proceedings of the 44th International Conference on Software Engineering …, 2022 | 28 | 2022 |
| Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges Q Cheng, D Sahoo, A Saha, W Yang, C Liu, G Woo, M Singh, S Saverese, ... arXiv preprint arXiv:2304.04661, 2023 | 26 | 2023 |
| Multilingual deep learning S Chandar, MM Khapra, B Ravindran, V Raykar, A Saha Deep Learning Workshop at NIPS, 2013 | 21 | 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 |
| Weakly supervised neuro-symbolic module networks for numerical reasoning A Saha, S Joty, SCH Hoi arXiv preprint arXiv:2101.11802, 2021 | 17 | 2021 |
| 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 | 17 | 2016 |
| Personalised distillation: Empowering open-sourced llms with adaptive learning for code generation H Chen, A Saha, S Hoi, S Joty arXiv preprint arXiv:2310.18628, 2023 | 15 | 2023 |
| 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 | 15 | 2018 |
| 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 | 14 | 2019 |