| Prayas at emoint 2017: An ensemble of deep neural architectures for emotion intensity prediction in tweets P Goel, D Kulshreshtha, P Jain, KK Shukla Proceedings of the 8th workshop on computational approaches to subjectivity …, 2017 | 80 | 2017 |
| Mammogram classification using selected GLCM features and random forest classifier VP Singh, A Srivastava, D Kulshreshtha, A Chaudhary, R Srivastava International Journal of Computer Science and Information Security (IJCSIS …, 2016 | 41 | 2016 |
| Automated digital mammogram segmentation using dispersed region growing and sliding window algorithm A Shrivastava, A Chaudhary, D Kulshreshtha, VP Singh, R Srivastava 2017 2nd international conference on image, vision and computing (ICIVC …, 2017 | 37 | 2017 |
| NLPRL-IITBHU at SemEval-2018 task 3: Combining linguistic features and emoji pre-trained CNN for irony detection in tweets H Rangwani, D Kulshreshtha, AK Singh Proceedings of the 12th international workshop on semantic evaluation, 638-642, 2018 | 27 | 2018 |
| Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval D Kulshreshtha, R Belfer, IV Serban, S Reddy Empirical Methods in Natural Language Processing (EMNLP), 2021 | 18 | 2021 |
| Content-based mammogram retrieval using k-means clustering and local binary pattern D Kulshreshtha, VP Singh, A Shrivastava, A Chaudhary, R Srivastava 2017 2nd International conference on image, vision and computing (ICIVC …, 2017 | 18 | 2017 |
| Few-shot question generation for personalized feedback in intelligent tutoring systems D Kulshreshtha, M Shayan, R Belfer, S Reddy, IV Serban, E Kochmar PAIS 2022, 17-30, 2022 | 15 | 2022 |
| How emotional are you? Neural architectures for emotion intensity prediction in microblogs D Kulshreshtha, P Goel, AK Singh Proceedings of the 27th international conference on computational …, 2018 | 10 | 2018 |
| Retrieve and copy: Scaling asr personalization to large catalogs SM Jayanthi, D Kulshreshtha, S Dingliwal, S Ronanki, S Bodapati arXiv preprint arXiv:2311.08402, 2023 | 8 | 2023 |
| Multilingual contextual adapters to improve custom word recognition in low-resource languages D Kulshreshtha, S Dingliwal, B Houston, S Bodapati INTERSPEECH 2023, 2023 | 4 | 2023 |
| Mask the bias: Improving domain-adaptive generalization of CTC-based ASR with internal language model estimation N Das, M Sunkara, S Bodapati, J Cai, D Kulshreshtha, J Farris, K Kirchhoff ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Sequential editing for lifelong training of speech recognition models D Kulshreshtha, S Dingliwal, B Houston, N Pappas, S Ronanki arXiv preprint arXiv:2406.17935, 2024 | 2 | 2024 |
| Generalized zero-shot audio-to-intent classification VR Elluru, D Kulshreshtha, R Paturi, S Bodapati, S Ronanki 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 1 | 2023 |
| Automated evaluation of evidence mapping models D Kulshreshtha, S Dingliwal, SB Bodapati, K Kirchhoff, S Handa US Patent App. 18/344,739, 2025 | | 2025 |
| MEDICAL CONVERSATION SUMMARIZATION STYLE INTELLIGENCE A Elangovan, L Xu, D Kulshreshtha, SB Bodapati, K Kirchhoff, S Handa US Patent App. 18/339,749, 2024 | | 2024 |
| Retrieve and Copy: Scaling ASR Personalization to Large Catalogs S Muralidhar Jayanthi, D Kulshreshtha, S Dingliwal, S Ronanki, ... arXiv e-prints, arXiv: 2311.08402, 2023 | | 2023 |
| Generalized zero-shot audio-to-intent classification V Raghavendra Elluru, D Kulshreshtha, R Paturi, S Bodapati, S Ronanki arXiv e-prints, arXiv: 2311.02482, 2023 | | 2023 |
| Question Generation for Creating Exercises and Personalized Feedback in Educational Domain D Kulshreshtha McGill University (Canada), 2022 | | 2022 |
| Feature Augmented Deep Neural Networks for Collaborative Filtering D Kulshreshtha IJCAI-17 Workshop AI Applications in E-Commerce, 2017 | | 2017 |
Arpit ChaudharyComputer Science and Engineering at Indian Institute of Technology (BHU) VaranasiGeverifieerd e-mailadres voor iitbhu.ac.in