Wide & deep learning for recommender systems HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ... Proceedings of the 1st workshop on deep learning for recommender systems, 7-10, 2016 | 3909 | 2016 |
Tfx: A tensorflow-based production-scale machine learning platform D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 453 | 2017 |
Recsim: A configurable simulation platform for recommender systems E Ie, C Hsu, M Mladenov, V Jain, S Narvekar, J Wang, R Wu, C Boutilier arXiv preprint arXiv:1909.04847, 2019 | 162 | 2019 |
Stay on the path: Instruction fidelity in vision-and-language navigation V Jain, G Magalhaes, A Ku, A Vaswani, E Ie, J Baldridge arXiv preprint arXiv:1905.12255, 2019 | 155 | 2019 |
SlateQ: A tractable decomposition for reinforcement learning with recommendation sets E Ie, V Jain, J Wang, S Narvekar, R Agarwal, R Wu, HT Cheng, T Chandra, ... | 131 | 2019 |
Transferable representation learning in vision-and-language navigation H Huang, V Jain, H Mehta, A Ku, G Magalhaes, J Baldridge, E Ie Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 91 | 2019 |
General evaluation for instruction conditioned navigation using dynamic time warping G Ilharco, V Jain, A Ku, E Ie, J Baldridge arXiv preprint arXiv:1907.05446, 2019 | 79 | 2019 |
Babywalk: Going farther in vision-and-language navigation by taking baby steps W Zhu, H Hu, J Chen, Z Deng, V Jain, E Ie, F Sha arXiv preprint arXiv:2005.04625, 2020 | 70 | 2020 |
Reinforcement learning for slate-based recommender systems: A tractable decomposition and practical methodology E Ie, V Jain, J Wang, S Narvekar, R Agarwal, R Wu, HT Cheng, ... arXiv preprint arXiv:1905.12767, 2019 | 66 | 2019 |
Environment-agnostic multitask learning for natural language grounded navigation XE Wang, V Jain, E Ie, WY Wang, Z Kozareva, S Ravi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 61 | 2020 |
On the evaluation of vision-and-language navigation instructions M Zhao, P Anderson, V Jain, S Wang, A Ku, J Baldridge, E Ie arXiv preprint arXiv:2101.10504, 2021 | 41 | 2021 |
Recsim ng: Toward principled uncertainty modeling for recommender ecosystems M Mladenov, CW Hsu, V Jain, E Ie, C Colby, N Mayoraz, H Pham, D Tran, ... arXiv preprint arXiv:2103.08057, 2021 | 29 | 2021 |
A hierarchical multi-modal encoder for moment localization in video corpus B Zhang, H Hu, J Lee, M Zhao, S Chammas, V Jain, E Ie, F Sha arXiv preprint arXiv:2011.09046, 2020 | 27 | 2020 |
Multi-modal discriminative model for vision-and-language navigation H Huang, V Jain, H Mehta, J Baldridge, E Ie arXiv preprint arXiv:1905.13358, 2019 | 26 | 2019 |
Learning to represent image and text with denotation graph B Zhang, H Hu, V Jain, E Ie, F Sha arXiv preprint arXiv:2010.02949, 2020 | 23 | 2020 |
Effective and general evaluation for instruction conditioned navigation using dynamic time warping G Magalhaes, V Jain, A Ku, E Ie, J Baldridge arXiv preprint arXiv:1907.05446, 2019 | 20 | 2019 |
General evaluation for instruction conditioned navigation using dynamic time warping GI Magalhaes, V Jain, A Ku, E Ie, J Baldridge | 15 | 2019 |
Demonstrating principled uncertainty modeling for recommender ecosystems with RecSim NG M Mladenov, C Hsu, V Jain, E Ie, C Colby, N Mayoraz, H Pham, D Tran, ... Proceedings of the 14th ACM Conference on Recommender Systems, 591-593, 2020 | 11 | 2020 |
VALAN: vision and language agent navigation L Lansing, V Jain, H Mehta, H Huang, E Ie arXiv preprint arXiv:1912.03241, 2019 | 8 | 2019 |
Natural Language Grounded Multitask Navigation. X Wang, V Jain, E Ie, WY Wang, Z Kozareva, S Ravi ViGIL@ NeurIPS, 2019 | 3 | 2019 |