| Long Range Arena: A Benchmark for Efficient Transformers Y Tay, M Dehghani, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... ICLR 2021, 2020 | 657 | 2020 |
| ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... ICLR 2022, 2021 | 206 | 2021 |
| Noise-contrastive estimation for answer selection with deep neural networks J Rao, H He, J Lin CIKM 2016, 2016 | 194 | 2016 |
| Scale efficiently: Insights from pre-training and fine-tuning transformers Y Tay, M Dehghani, J Rao, W Fedus, S Abnar, HW Chung, S Narang, ... ICLR 2022, 2021 | 131 | 2021 |
| Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang ACL 2019, 2019 | 117 | 2019 |
| Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue A Balakrishnan, J Rao, K Upasani, M White, R Subba ACL 2019, 2019 | 96 | 2019 |
| Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling J Rao, L Liu, Y Tay, W Yang, P Shi, J Lin EMNLP 2019, 2019 | 85 | 2019 |
| Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Y Tay, A Zhang, LA Tuan, J Rao, S Zhang, S Wang, J Fu, SC Hui ACL 2019, 2019 | 81 | 2019 |
| Scaling laws vs model architectures: How does inductive bias influence scaling? Y Tay, M Dehghani, S Abnar, HW Chung, W Fedus, J Rao, S Narang, ... EMNLP 2023, 2022 | 80 | 2022 |
| Transcending scaling laws with 0.1% extra compute Y Tay, J Wei, HW Chung, VQ Tran, DR So, S Shakeri, X Garcia, HS Zheng, ... EMNLP 2023, 2022 | 68 | 2022 |
| DSI++: Updating Transformer Memory with New Documents SV Mehta, J Gupta, Y Tay, M Dehghani, VQ Tran, J Rao, M Najork, ... EMNLP 2023, 2022 | 46 | 2022 |
| UMD-TTIC-UW at SemEval-2016 Task 1: Attention-based multi-perspective convolutional neural networks for textual similarity measurement H He, J Wieting, K Gimpel, J Rao, J Lin Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 41 | 2016 |
| Infrastructure for supporting exploration and discovery in web archives J Lin, M Gholami, J Rao World Wide Web, 2013, 851-856, 2014 | 34 | 2014 |
| Multi-perspective relevance matching with hierarchical ConvNets for social media search J Rao, W Yang, Y Zhang, F Ture, J Lin AAAI 2019, 2019 | 33 | 2019 |
| Experiments with Convolutional Neural Network Models for Answer Selection J Rao, H He, J Lin SIGIR, 1217-1220, 2017 | 32 | 2017 |
| Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform J Rao, F Ture, J Lin KDD 2018, 2018 | 29 | 2018 |
| Exploring the effectiveness of convolutional neural networks for answer selection in end-to-end question answering R Sequiera, G Baruah, Z Tu, S Mohammed, J Rao, H Zhang, J Lin SIGIR Workshop on Neural Information Retrieval (Neu-IR), 2017 | 28 | 2017 |
| Improving Compositional Generalization with Self-Training for Data-to-Text Generation SV Mehta, J Rao, Y Tay, M Kale, A Parikh, H Zhong, E Strubell ACL 2022, 2021 | 27 | 2021 |
| Partitioning strategies for spatio-textual similarity join J Rao, J Lin, H Samet SIGSPATIAL, 40-49, 2014 | 24 | 2014 |
| Reproducible experiments on lexical and temporal feedback for tweet search J Rao, J Lin, M Efron Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 22 | 2015 |
Jimmy LinUniversity of WaterlooZweryfikowany adres z uwaterloo.ca
