| Transfer learning from synthetic to real images using variational autoencoders for precise position detection T Inoue, S Chaudhury, G De Magistris, S Dasgupta 2018 25th IEEE International Conference on Image Processing (ICIP), 2725-2729, 2018 | 74* | 2018 |
| Adversarial discriminative attention for robust anomaly detection D Kimura, S Chaudhury, M Narita, A Munawar, R Tachibana Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 49 | 2020 |
| Can fully convolutional networks perform well for general image restoration problems? S Chaudhury, H Roy 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 33 | 2017 |
| Neuro-Symbolic Reinforcement Learning with First-Order Logic D Kimura, M Ono, S Chaudhury, R Kohita, A Wachi, DJ Agravante, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| Focusing on what is relevant: Time-series learning and understanding using attention P Vinayavekhin, S Chaudhury, A Munawar, DJ Agravante, G De Magistris, ... 2018 24th International Conference on Pattern Recognition (ICPR), 2624-2629, 2018 | 26 | 2018 |
| Robustness of adaptive neural network optimization under training noise S Chaudhury, T Yamasaki IEEE Access 9, 37039-37053, 2021 | 25 | 2021 |
| Mitigating gradient bias in multi-objective learning: A provably convergent approach HD Fernando, H Shen, M Liu, S Chaudhury, K Murugesan, T Chen The Eleventh International Conference on Learning Representations, 2022 | 23 | 2022 |
| Internal model from observations for reward shaping D Kimura, S Chaudhury, R Tachibana, S Dasgupta ICML, Adaptive and Learning Agents 2018 (arXiv preprint arXiv:1806.01267), 2018 | 23 | 2018 |
| Image inpainting using frequency-domain priors H Roy, S Chaudhury, T Yamasaki, T Hashimoto Journal of Electronic Imaging 30 (2), 023016-023016, 2021 | 14 | 2021 |
| Volume preserving haptic pottery S Chaudhury, S Chaudhuri 2014 IEEE Haptics Symposium (HAPTICS), 129-134, 2014 | 13 | 2014 |
| Neuro-symbolic approaches for text-based policy learning S Chaudhury, P Sen, M Ono, D Kimura, M Tatsubori, A Munawar Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 11 | 2021 |
| Reinforcement learning with external knowledge by using logical neural networks D Kimura, S Chaudhury, A Wachi, R Kohita, A Munawar, M Tatsubori, ... IJCAI, Knowledge Based Reinforcement Learning Workshop, 2020 (arXiv preprint …, 2021 | 11 | 2021 |
| Bootstrapped q-learning with context relevant observation pruning to generalize in text-based games S Chaudhury, D Kimura, K Talamadupula, M Tatsubori, A Munawar, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 11 | 2020 |
| Reward estimation via state prediction using expert demonstrations D Kimura, S Dasgupta, S Chaudhury, R Tachibana US Patent App. 15/909,304, 2019 | 11 | 2019 |
| LOA: Logical optimal actions for text-based interaction games D Kimura, S Chaudhury, M Ono, M Tatsubori, DJ Agravante, A Munawar, ... arXiv preprint arXiv:2110.10973, 2021 | 10 | 2021 |
| Spatial-temporal motion field analysis for pixelwise crack detection on concrete surfaces S Chaudhury, G Nakano, J Takada, A Iketani 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 336-344, 2017 | 10 | 2017 |
| X-factor: A cross-metric evaluation of factual correctness in abstractive summarization S Chaudhury, S Swaminathan, C Gunasekara, M Crouse, S Ravishankar, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
| Lunar surface image restoration using U-net based deep neural networks H Roy, S Chaudhury, T Yamasaki, D DeLatte, M Ohtake, T Hashimoto In 50th Annual Lunar and Planetary Science Conference 2132, p. 2656, 2019 | 8 | 2019 |
| Conditional generation of multi-modal data using constrained embedding space mapping S Chaudhury, S Dasgupta, A Munawar, MAS Khan, R Tachibana ICML2017 Implicit Models Workshop (arXiv preprint arXiv:1707.00860), 2017 | 8 | 2017 |
| Eye of the beholder: Improved relation generalization for text-based reinforcement learning agents K Murugesan, S Chaudhury, K Talamadupula Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11094 …, 2022 | 6 | 2022 |
Daiki KimuraIBM ResearchDirección de correo verificada de jp.ibm.com
