Text-derived knowledge helps vision: A simple cross-modal distillation for video-based action anticipation S Ghosh, T Aggarwal, M Hoai, N Balasubramanian arXiv preprint arXiv:2210.05991, 2022 | 5* | 2022 |
Transductive transfer learning using autoencoders S Ghosh PQDT-Global, 2016 | 3 | 2016 |
Specnfs: A challenge dataset towards extracting formal models from natural language specifications S Ghosh, A Singh, A Merenstein, W Su, SA Smolka, E Zadok, ... Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 2 | 2022 |
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives S Ghosh, M Koupaee, I Chen, F Ferraro, N Chambers, ... Transactions of the Association for Computational Linguistics 11, 1283-1300, 2023 | 1 | 2023 |
POQue: Asking participant-specific outcome questions for a deeper understanding of complex events S Vallurupalli, S Ghosh, K Erk, N Balasubramanian, F Ferraro arXiv preprint arXiv:2212.02629, 2022 | 1 | 2022 |
SAGEViz: SchemA GEneration and Visualization S Devare, M Koupaee, G Gunapati, S Ghosh, S Vallurupalli, YK Lal, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events S Vallurupalli, S Ghosh, K Erk, N Balasubramian, F Ferraro Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 | | 2022 |
Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events S Vallurupalli, S Ghosh, K Erk, N Balasubramian, F Ferraro Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 | | 2022 |