| 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 | 4286 | 2016 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 702 | 2024 |
| 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 | 489 | 2017 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 203 | 2024 |
| 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 | 178 | 2019 |
| 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 | 177 | 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, ... | 149 | 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 | 97 | 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 | 87 | 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 | 79 | 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 | 75 | 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 | 63 | 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 | 47 | 2021 |
| 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 | 31 | 2019 |
| 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 | 30 | 2020 |
| 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 | 28 | 2021 |
| 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 | 24 | 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 | 21 | 2019 |
| Separation of track-and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network A Abed Abud, B Abi, R Acciarri, MA Acero, MR Adames, G Adamov, ... The European Physical Journal C 82 (10), 903, 2022 | 17 | 2022 |
| General evaluation for instruction conditioned navigation using dynamic time warping GI Magalhaes, V Jain, A Ku, E Ie, J Baldridge | 17 | 2019 |
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