| Class-incremental learning via deep model consolidation J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck, H Zhang, CCJ Kuo Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 438 | 2020 |
| Study of vector boson scattering and search for new physics in events with two same-sign leptons and two jets CMS collaboration arXiv preprint arXiv:1410.6315, 2014 | 371* | 2014 |
| Taking a hint: Leveraging explanations to make vision and language models more grounded RR Selvaraju, S Lee, Y Shen, H Jin, S Ghosh, L Heck, D Batra, D Parikh Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 293 | 2019 |
| Contextual lstm (clstm) models for large scale nlp tasks S Ghosh, O Vinyals, B Strope, S Roy, T Dean, L Heck arXiv preprint arXiv:1602.06291, 2016 | 280 | 2016 |
| ARSENAL: automatic requirements specification extraction from natural language S Ghosh, D Elenius, W Li, P Lincoln, N Shankar, W Steiner NASA Formal Methods Symposium, 41-46, 2016 | 125 | 2016 |
| An empirical reexamination of global DNS behavior H Gao, V Yegneswaran, Y Chen, P Porras, S Ghosh, J Jiang, H Duan Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM, 267-278, 2013 | 124 | 2013 |
| Searches for R-parity-violating supersymmetry in pp collisions at sqrt (s)= 8 TeV in final states with 0-4 leptons CMS collaboration arXiv preprint arXiv:1606.08076, 2016 | 95* | 2016 |
| RILOD: Near real-time incremental learning for object detection at the edge D Li, S Tasci, S Ghosh, J Zhu, J Zhang, L Heck Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 113-126, 2019 | 78 | 2019 |
| Synthesis of low power CED circuits based on parity codes S Ghosh, NA Touba, S Basu 23rd IEEE VLSI Test Symposium (VTS'05), 315-320, 2005 | 77 | 2005 |
| Generating natural language explanations for visual question answering using scene graphs and visual attention S Ghosh, G Burachas, A Ray, A Ziskind arXiv preprint arXiv:1902.05715, 2019 | 76 | 2019 |
| Dynamic low-density parity check codes for fault-tolerant nano-scale memory S Ghosh, PD Lincoln Proc. Found. Nanosci, 1-5, 2007 | 67 | 2007 |
| Low-density parity check codes for error correction in nanoscale memory S Ghosh, PD Lincoln SRI Comput. Sci. Lab. Tech. Rep. CSL-0703, 1-22, 2007 | 63 | 2007 |
| Automated categorization of onion sites for analyzing the darkweb ecosystem S Ghosh, A Das, P Porras, V Yegneswaran, A Gehani Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 61 | 2017 |
| Joint minimization of power and area in scan testing by scan cell reordering S Ghosh, S Basu, NA Touba IEEE Computer Society Annual Symposium on VLSI, 2003. Proceedings., 246-249, 2003 | 59 | 2003 |
| Reexamining DNS from a global recursive resolver perspective H Gao, V Yegneswaran, J Jiang, Y Chen, P Porras, S Ghosh, H Duan IEEE/ACM Transactions on Networking 24 (1), 43-57, 2014 | 58 | 2014 |
| Regularize, expand and compress: Nonexpansive continual learning J Zhang, J Zhang, S Ghosh, D Li, J Zhu, H Zhang, Y Wang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 55* | 2020 |
| Reducing power consumption in memory ECC checkers S Ghosh, S Basu, NA Touba 2004 International Conferce on Test, 1322-1331, 2004 | 55 | 2004 |
| Systems and methods for machine learning using a trusted model S Ghosh, PD Lincoln, BS Ramamurthy US Patent 10,902,349, 2021 | 48 | 2021 |
| Low-rank adaptation of large language model rescoring for parameter-efficient speech recognition Y Yu, CHH Yang, J Kolehmainen, PG Shivakumar, Y Gu, SRR Ren, Q Luo, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 44 | 2023 |
| Flirt: Feedback loop in-context red teaming N Mehrabi, P Goyal, C Dupuy, Q Hu, S Ghosh, R Zemel, KW Chang, ... arXiv preprint arXiv:2308.04265, 2023 | 44 | 2023 |
Larry HeckProfessor, Georgia Institute of TechnologyVerified email at ieee.org
