| Diverse beam search: Decoding diverse solutions from neural sequence models AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... arXiv preprint arXiv:1610.02424, 2016 | 421* | 2016 |
| Neural-guided deductive search for real-time program synthesis from examples A Kalyan, A Mohta, O Polozov, D Batra, P Jain, S Gulwani arXiv preprint arXiv:1804.01186, 2018 | 124 | 2018 |
| We are humor beings: Understanding and predicting visual humor A Chandrasekaran, AK Vijayakumar, S Antol, M Bansal, D Batra, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 51 | 2016 |
| Sound-word2vec: Learning word representations grounded in sounds AK Vijayakumar, R Vedantam, D Parikh arXiv preprint arXiv:1703.01720, 2017 | 27 | 2017 |
| Programming puzzles T Schuster, A Kalyan, O Polozov, AT Kalai arXiv preprint arXiv:2106.05784, 2021 | 5 | 2021 |
| How much coffee was consumed during EMNLP 2019? fermi problems: A new reasoning challenge for AI A Kalyan, A Kumar, A Chandrasekaran, A Sabharwal, P Clark arXiv preprint arXiv:2110.14207, 2021 | 4 | 2021 |
| Learn from your neighbor: Learning multi-modal mappings from sparse annotations A Kalyan, S Lee, A Kannan, D Batra International Conference on Machine Learning, 2449-2458, 2018 | 4 | 2018 |
| Trainable decoding of sets of sequences for neural sequence models A Kalyan, P Anderson, S Lee, D Batra International Conference on Machine Learning, 3211-3221, 2019 | 3 | 2019 |
| Estimating multiple physical parameters from speech data SB Kalluri, A Vijayakumar, D Vijayasenan, R Singh 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 3 | 2016 |
| NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks S Mishra, A Mitra, N Varshney, B Sachdeva, P Clark, C Baral, A Kalyan arXiv preprint arXiv:2204.05660, 2022 | 2 | 2022 |
| Predicting $ Gamaka $ s—The Essential Embellishments in Karnatic Music MR Rajan, D Vijayasenan, A Vijayakumar IEEE Access 7, 175386-175395, 2019 | 2 | 2019 |
| Estimation of a violin source/filter model JW Beauchamp, AK Vijayakumar The Journal of the Acoustical Society of America 137 (4), 2405-2405, 2015 | 2 | 2015 |
| Model-Advantage Optimization for Model-Based Reinforcement Learning N Modhe, H Kamath, D Batra, A Kalyan arXiv preprint arXiv:2106.14080, 2021 | 1 | 2021 |
| Adaptive generation of programming puzzles A Kalyan, O Polozov, AT Kalai | 1 | 2019 |
| Prediction of aesthetic elements in Karnatic Music: A machine learning approach M Ragesh Rajan, A Vijayakumar, D Vijayasenan Proc. Interspeech 2018, 2042-2046, 2018 | 1 | 2018 |
| Audio segmentation using a priori information in the context of Karnatic Music VA Kalyan, S Sankaranarayanan, SS David 2015 IEEE International Conference on Signal Processing, Informatics …, 2015 | 1 | 2015 |
| Neural-guided deductive search for program synthesis O Polozov, S Gulwani, P Jain, AK Vijayakumar, A Mohta US Patent 11,132,180, 2021 | | 2021 |
| Bridging Worlds in Reinforcement Learning with Model-Advantage N Modhe, HK Kamath, D Batra, A Kalyan | | 2020 |
| Prediction of aesthetic elements in Karnatic music: A machine learning approach R Ragesh, A Vijayakumar, D Vijayasenan | | 2018 |
