A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ... Knowledge-Based Systems 194, 33, 2020 | 287 | 2020 |
Vision Transformers are Robust Learners S Paul*, PY Chen*, *equal contribution AAAI, 2022 | 173 | 2022 |
Fast and accurate quantized camera scene detection on smartphones, mobile ai 2021 challenge: Report A Ignatov, G Malivenko, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning S Paul*, S Ganju*, *equal contribution NeurIPS Tackling Climate Change with Machine Learning Workshop, 2021 | 11 | 2021 |
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling S Chakraborty*, A Roy Gosthipaty*, S Paul*, *equal contribution https://ieeexplore.ieee.org/document/9346544, 2020 | 9 | 2020 |
A novel transfer learning-based missing value imputation on discipline diverse real test datasets—a comparative study with different machine learning algorithms J Gupta, S Paul, A Ghosh Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 8 | 2019 |
A Review of Deep Learning with Special Emphasis on Architectures S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ... Appl. Recent Trends Prepr 2019020233, 2019 | 5 | 2019 |
A CFS–DNN-based intrusion detection system S Paul, C Banerjee, M Ghoshal Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017 …, 2018 | 3 | 2018 |
Hands-On Python Deep Learning for the Web A Singh, S Paul https://www.packtpub.com/in/data/hands-on-python-deep-learning-for-web, 2020 | 2 | 2020 |
A machine learning model for screening of body fluid cytology smears P Sanyal, S Paul, V Rana, K Kulhari bioRxiv, 2021.07. 20.453010, 2021 | 1 | 2021 |
Instruction-tuning Stable Diffusion with InstructPix2Pix S Paul https://huggingface.co/blog/instruction-tuning-sd, 2023 | | 2023 |
Foundational Robustness of Foundation Models PY Chen, S Liu, S Paul, H Face Annual Conference on Neural Information Processing Systems, 2022 | | 2022 |
Performance of a machine learning model in recognition of normal tissue from histological sections P Sanyal, S Paul, A Das medRxiv, 2021.07. 20.21260573, 2021 | | 2021 |
Practical Adversarial Robustness in Deep Learning: Problems and Solutions PY Chen, S Paul IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021 | | 2021 |
MILITANT INTRUSION DETECTION USING MACHINE LEARNING R Emmanuel, DP Singh, S Paul, S Das, A Ghosh | | |