Semi-supervised protein classification using cluster kernels J Weston, CS Leslie, E Ie, D Zhou, A Elisseeff, W Stafford Noble Bioinformatics 21, 2005 | 323 | 2005 |
Profile-based string kernels for remote homology detection and motif extraction R Kuang, E Ie, K Wang, K Wang, M Siddiqi, Y Freund, C Leslie Journal of bioinformatics and computational biology 3 (03), 527-550, 2005 | 290 | 2005 |
Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding A Ku, P Anderson, R Patel, E Ie, J Baldridge arXiv preprint arXiv:2010.07954, 2020 | 285 | 2020 |
Learning dense representations for entity retrieval D Gillick, S Kulkarni, L Lansing, A Presta, J Baldridge, E Ie, ... arXiv preprint arXiv:1909.10506, 2019 | 241 | 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 | 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 | 176 | 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 |
Large-scale content-based audio retrieval from text queries G Chechik, E Ie, M Rehn, S Bengio, D Lyon Proceedings of the 1st ACM international conference on Multimedia …, 2008 | 136 | 2008 |
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 | 86 | 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 |
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition I Melvin, E Ie, R Kuang, J Weston, WS Noble, C Leslie BMC bioinformatics 8, 1-15, 2007 | 78 | 2007 |
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 | 62 | 2020 |
Multi-class protein fold recognition using adaptive codes E Ie, J Weston, WS Noble, C Leslie Proceedings of the 22nd International Conference on Machine learning, 329-336, 2005 | 53 | 2005 |
Aquamuse: Automatically generating datasets for query-based multi-document summarization S Kulkarni, S Chammas, W Zhu, F Sha, E Ie arXiv preprint arXiv:2010.12694, 2020 | 52 | 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-class protein classification using adaptive codes. I Melvin, E Ie, J Weston, WS Noble, C Leslie Journal of Machine Learning Research 8 (7), 2007 | 44 | 2007 |
Sibyl: A system for large scale supervised machine learning K Canini, T Chandra, E Ie, J McFadden, K Goldman, M Gunter, J Harmsen, ... Technical Talk 1 (113), 2.3, 2012 | 40 | 2012 |
Sibyl: a system for large scale machine learning T Chandra, E Ie, K Goldman, TL Llinares, J McFadden, F Pereira, ... Keynote I PowerPoint presentation, Jul 28, 2010 | 39 | 2010 |