| Multi-source open-set deep adversarial domain adaptation S Rakshit, D Tamboli, PS Meshram, B Banerjee, G Roig, S Chaudhuri Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 39 | 2020 |
| Breast cancer histopathology image classification and localization using multiple instance learning A Patil, D Tamboli, S Meena, D Anand, A Sethi 2019 IEEE International WIE conference on electrical and computer …, 2019 | 36 | 2019 |
| Fast design of plasmonic metasurfaces enabled by deep learning A Mall, A Patil, D Tamboli, A Sethi, A Kumar Journal of Physics D: Applied Physics 53 (49), 49LT01, 2020 | 34 | 2020 |
| Multi-task Hierarchical Adversarial Inverse Reinforcement Learning J Chen, D Tamboli, T Lan, V Aggarwal Proceedings of the 40th International Conference on Machine Learning, 4895-4920, 2023 | 10 | 2023 |
| Image-based phenotyping of diverse rice (Oryza sativa L.) genotypes MK Vishal, D Tamboli, A Patil, R Saluja, B Banerjee, A Sethi, D Raju, ... arXiv preprint arXiv:2004.02498, 2020 | 9 | 2020 |
| Domain Adaptive Few-Shot Open-Set Learning D Pal, D More, S Bhargav, D Tamboli, V Aggarwal, B Banerjee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework D Tamboli, A Kumar, S Pande, B Banerjee IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| Saliency-driven class impressions for feature visualization of deep neural networks D Tamboli, S Addepalli, RV Babu, B Banerjee 2020 IEEE International Conference on Image Processing (ICIP), 1936-1940, 2020 | 3 | 2020 |
| Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework with Mortality Classifier and Transformer D Tamboli, J Chen, KP Jotheeswaran, D Yu, V Aggarwal IEEE Journal of Biomedical and Health Informatics, 2024 | 2 | 2024 |
| Image-Based Phenotyping of Diverse Rice MK Vishal, D Tamboli, A Patil, R Saluja, B Banerjee, A Sethi, D Raju, ... Oryza sativa, 2020 | 2 | 2020 |
| Understanding the natural language of DNA using encoder–decoder foundation models with byte-level precision A Malusare, H Kothandaraman, D Tamboli, NA Lanman, V Aggarwal Bioinformatics Advances 4 (1), vbae117, 2024 | 1 | 2024 |
| Prediction of the color change of surface thermally treated wood by artificial neural network J Mo, D Tamboli, E Haviarova European Journal of Wood and Wood Products 81 (5), 1135-1146, 2023 | 1 | 2023 |
| Kuiper: Moderated Asynchronous Federated Learning on Heterogeneous Mobile Devices with Non-IID Data D Tamboli, P Jain, A Sharma, B Banerjee, S Bagchi, S Chaterji | 1 | |
| Sepsis Treatment: Reinforced Sequential Decision-Making for Saving Lives D Tamboli, J Chen, KP Jotheeswaran, D Yu, V Aggarwal | | 2024 |
| Thermally Treated to Perfection: Enhancing Wood Color and Properties with Surface Thermal Treatment J Mo, D Tamboli, E Haviarova | | 2023 |
| Explaining decision of model from its prediction D Tamboli arXiv preprint arXiv:2106.08366, 2021 | | 2021 |
| Domain Adaptive Few-Shot Open-Set Learning Supplementary Material D Pal, D More, S Bhargav, D Tamboli, V Aggarwal, B Banerjee | | |
| Supplementary materials for paper” Multi-Source open-set deep adversarial domain adaptation” S Rakshit, D Tamboli, P Shuddhodhan, BB Meshram, G Roig, ... | | |
Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology MumbaiEmail verificata su iitb.ac.in