| Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ... International conference on machine learning, 2048-2057, 2015 | 4129 | 2015 |
| Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015 | 1339 | 2015 |
| The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995 | 1090 | 1995 |
| Multiscale conditional random fields for image labeling X He, RS Zemel, MÁ Carreira-Perpiñán Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 1041 | 2004 |
| Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2, 2015 | 862 | 2015 |
| Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel arXiv preprint arXiv:1411.2539, 2014 | 722 | 2014 |
| Fairness through awareness C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel Proceedings of the 3rd innovations in theoretical computer science …, 2012 | 716 | 2012 |
| Autoencoders, minimum description length and Helmholtz free energy GE Hinton, RS Zemel Advances in neural information processing systems, 3-10, 1994 | 709 | 1994 |
| Prototypical networks for few-shot learning J Snell, K Swersky, R Zemel Advances in Neural Information Processing Systems, 4077-4087, 2017 | 707 | 2017 |
| Information processing with population codes A Pouget, P Dayan, R Zemel Nature Reviews Neuroscience 1 (2), 125, 2000 | 700 | 2000 |
| Gated graph sequence neural networks Y Li, D Tarlow, M Brockschmidt, R Zemel arXiv preprint arXiv:1511.05493, 2015 | 673 | 2015 |
| Inference and computation with population codes A Pouget, P Dayan, RS Zemel Annual review of neuroscience 26 (1), 381-410, 2003 | 495 | 2003 |
| Multimodal neural language models R Kiros, R Salakhutdinov, R Zemel International Conference on Machine Learning, 595-603, 2014 | 450 | 2014 |
| Learning fair representations R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork International Conference on Machine Learning, 325-333, 2013 | 431 | 2013 |
| Probabilistic interpretation of population codes RS Zemel, P Dayan, A Pouget Neural computation 10 (2), 403-430, 1998 | 419 | 1998 |
| Exploring models and data for image question answering M Ren, R Kiros, R Zemel Advances in neural information processing systems, 2953-2961, 2015 | 392 | 2015 |
| Generative moment matching networks Y Li, K Swersky, R Zemel International Conference on Machine Learning, 1718-1727, 2015 | 370 | 2015 |
| Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler Proceedings of the IEEE international conference on computer vision, 19-27, 2015 | 358 | 2015 |
| Understanding the effective receptive field in deep convolutional neural networks W Luo, Y Li, R Urtasun, R Zemel Advances in neural information processing systems, 4898-4906, 2016 | 300 | 2016 |
| Object-based attention and occlusion: evidence from normal participants and a computational model. M Behrmann, RS Zemel, MC Mozer Journal of Experimental Psychology: Human Perception and Performance 24 (4 …, 1998 | 249 | 1998 |
