| Ms marco: A human generated machine reading comprehension dataset P Bajaj, D Campos, N Craswell, L Deng, J Gao, X Liu, R Majumder, ... arXiv preprint arXiv:1611.09268, 2016 | 411 | 2016 |
| Embedding logical queries on knowledge graphs W Hamilton, P Bajaj, M Zitnik, D Jurafsky, J Leskovec Advances in neural information processing systems 31, 2018 | 206 | 2018 |
| Coco-lm: Correcting and contrasting text sequences for language model pretraining Y Meng, C Xiong, P Bajaj, P Bennett, J Han, X Song Advances in Neural Information Processing Systems 34, 23102-23114, 2021 | 100 | 2021 |
| Xlm-e: Cross-lingual language model pre-training via electra Z Chi, S Huang, L Dong, S Ma, B Zheng, S Singhal, P Bajaj, X Song, ... arXiv preprint arXiv:2106.16138, 2021 | 58 | 2021 |
| Inferring generative model structure with static analysis P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré Advances in neural information processing systems 30, 2017 | 48 | 2017 |
| KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube R Kaushal, S Saha, P Bajaj, P Kumaraguru 2016 14th Annual Conference on Privacy, Security and Trust (PST), 157-164, 2016 | 48 | 2016 |
| Generating data-driven geo-fences P Bajaj, SV Mehta, T Goyal, SVS Revankar US Patent 9,838,843, 2017 | 34 | 2017 |
| Experience individualization on online tv platforms through persona-based account decomposition P Bajaj, S Shekhar Proceedings of the 24th ACM international conference on Multimedia, 252-256, 2016 | 16 | 2016 |
| Smart geo-fencing with location sensitive product affinity A Garg, S Choudhary, P Bajaj, S Agrawal, A Kedia, S Agrawal Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017 | 12 | 2017 |
| Metro: Efficient denoising pretraining of large scale autoencoding language models with model generated signals P Bajaj, C Xiong, G Ke, X Liu, D He, S Tiwary, TY Liu, P Bennett, X Song, ... arXiv preprint arXiv:2204.06644, 2022 | 11 | 2022 |
| Disinformation in multimedia annotation: misleading metadata detection on youtube P Bajaj, M Kavidayal, P Srivastava, MN Akhtar, P Kumaraguru Proceedings of the 2016 ACM workshop on Vision and Language Integration …, 2016 | 11 | 2016 |
| On the representation collapse of sparse mixture of experts Z Chi, L Dong, S Huang, D Dai, S Ma, B Patra, S Singhal, P Bajaj, X Song, ... Advances in Neural Information Processing Systems 35, 34600-34613, 2022 | 10 | 2022 |
| Pretraining text encoders with adversarial mixture of training signal generators Y Meng, C Xiong, P Bajaj, S Tiwary, P Bennett, J Han, X Song arXiv preprint arXiv:2204.03243, 2022 | 8 | 2022 |
| Notification Control based on Location, Activity, and Temporal Prediction P Bajaj, SV Mehta, T Goyal, K Jaidka US Patent App. 15/374,561, 2018 | 8 | 2018 |
| Querying complex networks in vector space WL Hamilton, P Bajaj, M Zitnik, D Jurafsky, J Leskovec arXiv preprint arXiv:1806.01445, 2018 | 8 | 2018 |
| Channel preference scoring for users based on channel watching and browsing behavior S Shekhar, P Bajaj, BV Srinivasan US Patent 10,638,176, 2020 | 6 | 2020 |
| Optimizing notification triggers for geo-fence communication systems SV Mehta, P Bajaj, A Garg, S Choudhary US Patent App. 15/615,124, 2018 | 6 | 2018 |
| Similarity learning for product recommendation and scoring using multi-channel data IA Burhanuddin, P Bajaj, S Shekhar, D Mukherjee, A Raj, A Sankar 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1143-1152, 2015 | 6 | 2015 |
| Determination of paywall metrics G Hiranandani, T Goyal, S Shekhar, P Bajaj US Patent 10,853,887, 2020 | 4 | 2020 |
| Graph convolutional networks to explore drug and disease relationships in biological networks P Bajaj, S Heereguppe, C Sumanth Computer Science, 2017 | 3 | 2017 |
