Generate your counterfactuals: Towards controlled counterfactual generation for text N Madaan, I Padhi, N Panwar, D Saha Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13516 …, 2021 | 89 | 2021 |
Data quality for machine learning tasks N Gupta, S Mujumdar, H Patel, S Masuda, N Panwar, S Bandyopadhyay, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 71 | 2021 |
DLPaper2Code: Auto-generation of code from deep learning research papers A Sethi, A Sankaran, N Panwar, S Khare, S Mani Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 42 | 2018 |
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ... arXiv preprint arXiv:2108.05935, 2021 | 29 | 2021 |
Multi-modal construction of deep learning networks AR Rahul, N Gantayat, S Khare, SKK Mani, N Panwar, A Sankaran US Patent 11,734,584, 2023 | 27 | 2023 |
A visual programming paradigm for abstract deep learning model development SG Tamilselvam, N Panwar, S Khare, R Aralikatte, A Sankaran, S Mani Proceedings of the 10th Indian Conference on Human-Computer Interaction, 1-11, 2019 | 22 | 2019 |
DARVIZ: deep abstract representation, visualization, and verification of deep learning models A Sankaran, R Aralikatte, S Mani, S Khare, N Panwar, N Gantayat 2017 IEEE/ACM 39th International Conference on Software Engineering: New …, 2017 | 16 | 2017 |
Sanskrit Sandhi Splitting using seq2seq^2 R Aralikatte, N Gantayat, N Panwar, A Sankaran, S Mani arXiv preprint arXiv:1801.00428, 2018 | 15 | 2018 |
Automatic Assessment of Quality of your Data for AI H Patel, N Gupta, N Panwar, R Sharma Mittal, S Mehta, S Guttula, ... Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 9 | 2022 |
Suggestion and completion of deep learning models from a catalog A Sankaran, N Panwar, SG Tamilselvam, S Khare, R Aralikatte, SKK Mani US Patent 11,574,233, 2023 | 7 | 2023 |
Debugging deep neural networks R Aralikatte, SG Tamilselvam, S Khare, N Panwar, A Sankaran, SKK Mani US Patent 11,694,090, 2023 | 6 | 2023 |
Automatically modifying responses from generative models using artificial intelligence techniques N Madaan, N Panwar, D Vijaykeerthy, PK Lohia, D Saha US Patent 11,741,296, 2023 | 1 | 2023 |
Deep-learning model catalog creation S Khare, SG Tamilselvam, A Sankaran, N Panwar, RR Aralikatte, ... US Patent 11,605,006, 2023 | 1 | 2023 |
Detecting contextual bias in text N Panwar, N Madaan, D Vijaykeerthy, PK Lohia, D Saha US Patent App. 17/233,727, 2022 | 1 | 2022 |
Priority-based, accuracy-controlled individual fairness of unstructured text PK Lohia, D Vijaykeerthy, D Saha, N Madaan, N Panwar US Patent App. 17/161,125, 2022 | 1 | 2022 |
Collaborative deep learning model authoring tool A Sankaran, RR Aralikatte, S Khare, N Panwar, SKK Mani, ... US Patent App. 16/210,785, 2020 | 1 | 2020 |
Democratization of deep learning using DARVIZ A Sankaran, N Panwar, S Khare, S Mani, A Sethi, R Aralikatte, N Gantayat Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1 | 2018 |
Ordering annotation sets for machine learning N Panwar, A Sankaran, K Dey, H Patel, S Mehta US Patent 11,966,453, 2024 | | 2024 |
SPASE: Spatial Saliency Explanation For Time Series Models P Lohia, BN Patro, N Panwar, V Agneeswaran ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
SPASE: SPAtial Saliency Explanation for time series models in Microsoft Azure products P Lohia, BN Patro, N Panwar, V Agneeswaran | | 2023 |