| Automatic differentiation in machine learning: a survey AG Baydin, BA Pearlmutter, AA Radul, JM Siskind Journal of machine learning research 18 (153), 1-43, 2018 | 3682 | 2018 |
| A computational study of cross-situational techniques for learning word-to-meaning mappings JM Siskind Cognition 61 (1-2), 39-91, 1996 | 713 | 1996 |
| The role of exposure to isolated words in early vocabulary development MR Brent, JM Siskind Cognition 81 (2), B33-B44, 2001 | 683 | 2001 |
| Image segmentation with ratio cut S Wang, JM Siskind IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (6), 675-690, 2003 | 458 | 2003 |
| Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic JM Siskind Journal of artificial intelligence research 15, 31-90, 2001 | 326 | 2001 |
| Recognize human activities from partially observed videos Y Cao, D Barrett, A Barbu, S Narayanaswamy, H Yu, A Michaux, Y Lin, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 242 | 2013 |
| Salient closed boundary extraction with ratio contour S Wang, T Kubota, JM Siskind, J Wang IEEE transactions on pattern analysis and machine intelligence 27 (4), 546-561, 2005 | 217 | 2005 |
| Video in sentences out A Barbu, A Bridge, Z Burchill, D Coroian, S Dickinson, S Fidler, A Michaux, ... arXiv preprint arXiv:1204.2742, 2012 | 201 | 2012 |
| Grounded language learning from video described with sentences H Yu, JM Siskind Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 174 | 2013 |
| Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator BA Pearlmutter, JM Siskind ACM Transactions on Programming Languages and Systems (TOPLAS) 30 (2), 1-36, 2008 | 154 | 2008 |
| Grounding language in perception JM Siskind Artificial Intelligence Review 8, 371-391, 1994 | 135 | 1994 |
| Image segmentation with minimum mean cut S Wang, JM Siskind Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 116 | 2001 |
| A maximum-likelihood approach to visual event classification JM Siskind, Q Morris Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996 | 103 | 1996 |
| Naive physics, event perception, lexical semantics, and language acquisition JM Siskind | 103 | 1993 |
| The computational perception of scene dynamics R Mann, A Jepson, JM Siskind Computer Vision and image understanding 65 (2), 113-128, 1997 | 101 | 1997 |
| Generating custom high performance VLSI designs from succinct algorithmic descriptions JM Siskind, JR Southard, KW Crouch MIT Conference on Advanced Research in VLSI, 28-40, 1982 | 96 | 1982 |
| Nondeterministic lisp as a substrate for constraint logic programming D McAllester, JM Siskind Proceedings AAAI, 133-138, 1993 | 92 | 1993 |
| Specific-to-general learning for temporal events with application to learning event definitions from video A Fern, R Givan, JM Siskind Journal of Artificial Intelligence Research 17, 379-449, 2002 | 88 | 2002 |
| The perils and pitfalls of block design for EEG classification experiments R Li, JS Johansen, H Ahmed, TV Ilyevsky, RB Wilbur, HM Bharadwaj, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (1), 316-333, 2020 | 77 | 2020 |
| Automatic derivative method for a computer programming language JM Siskind, BA Pearlmutter US Patent 8,739,137, 2014 | 70 | 2014 |
