| Gated Graph Sequence Neural Networks Y Li, D Tarlow, M Brockschmidt, R Zemel International Conference on Learning Representations (ICLR 2016)., 2015 | 1332 | 2015 |
| DeepCoder: Learning to Write Programs M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow International Conference on Learning Representations (ICLR 2017)., 2016 | 325 | 2016 |
| A* Sampling CJ Maddison, D Tarlow, T Minka Advances in Neural Information Processing Systems, 3086-3094, 2014 | 187 | 2014 |
| HOP-MAP: Efficient message passing with high order potentials D Tarlow, IE Givoni, RS Zemel Proceedings of 13th Conference on Artificial Intelligence and Statistics, 2010 | 158 | 2010 |
| Bimodal modelling of source code and natural language M Allamanis, D Tarlow, A Gordon, Y Wei Proceedings of The 32nd International Conference on Machine Learning, 2123-2132, 2015 | 147 | 2015 |
| Structured generative models of natural source code C Maddison, D Tarlow Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014 | 128 | 2014 |
| TerpreT: A Probabilistic Programming Language for Program Induction AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ... arXiv preprint arXiv:1608.04428, 2016 | 99 | 2016 |
| Fits Like a Glove: Rapid and Reliable Hand Shape Personalization DJ Tan, T Cashman, J Taylor, A Fitzgibbon, D Tarlow, S Khamis, S Izadi, ... IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 75 | 2016 |
| Fast Exact Inference for Recursive Cardinality Models D Tarlow, K Swersky, RS Zemel, RP Adams, BJ Frey Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, 2012 | 71 | 2012 |
| Structured Output Learning with High Order Loss Functions D Tarlow, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics, 2012 | 67* | 2012 |
| Learning articulated structure and motion DA Ross, D Tarlow, RS Zemel International journal of computer vision 88 (2), 214-237, 2010 | 64 | 2010 |
| Randomized optimum models for structured prediction D Tarlow, RP Adams, RS Zemel Proceedings of the 15th Conference on Artificial Intelligence and Statistics …, 2012 | 56 | 2012 |
| Exploring Compositional High Order Pattern Potentials for Structured Output Learning Y Li, D Tarlow, R Zemel Proc. of the 26th IEEE Conference on Computer Vision and Pattern Recognition …, 2013 | 52 | 2013 |
| Optimizing Expected Intersection-over-Union with Candidate-Constrained CRFs F Ahmed, D Tarlow, D Batra Proc. of the IEEE International Conf. on Computer Vision (ICCV) 8, 2015 | 47 | 2015 |
| Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning D Tarlow, K Swersky, L Charlin, I Sutskever, RS Zemel Proceedings of the International Conference on Machine Learning (ICML), 2013 | 43 | 2013 |
| Dynamic tree block coordinate ascent D Tarlow, D Batra, P Kohli, V Kolmogorov Proceedings of the International Conference on Machine Learning (ICML), 2011 | 42 | 2011 |
| Learning to Pass Expectation Propagation Messages N Heess, D Tarlow, J Winn Advances in Neural Information Processing Systems, 3219-3227, 2013 | 41 | 2013 |
| Cardinality Restricted Boltzmann Machines K Swersky, D Tarlow, I Sutskever, R Salakhutdinov, R Zemel, R Adams Advances in Neural Information Processing Systems 25, 3302-3310, 2012 | 39 | 2012 |
| Graph Partition Neural Networks for Semi-Supervised Classification R Liao, M Brockschmidt, D Tarlow, AL Gaunt, R Urtasun, R Zemel arXiv preprint arXiv:1803.06272, 2018 | 35 | 2018 |
| Differentiable Programs with Neural Libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017 | 32 | 2017 |
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
