| Large scale online learning of image similarity through ranking G Chechik, V Sharma, U Shalit, S Bengio The Journal of Machine Learning Research 11, 1109-1135, 2010 | 521 | 2010 |
| Functional organization of the S. cerevisiae phosphorylation network D Fiedler, H Braberg, M Mehta, G Chechik, G Cagney, P Mukherjee, ... Cell 136 (5), 952-963, 2009 | 277 | 2009 |
| Euclidean embedding of co-occurrence data A Globerson, G Chechik, F Pereira, N Tishby Advances in neural information processing systems 17, 497-504, 2004 | 249 | 2004 |
| Reduction of information redundancy in the ascending auditory pathway G Chechik, MJ Anderson, O Bar-Yosef, ED Young, N Tishby, I Nelken Neuron 51 (3), 359-368, 2006 | 234 | 2006 |
| Openimages: A public dataset for large-scale multi-label and multi-class image classification KM I. Krasin, T. Duerig, N. Alldrin, A. Veit, S. Abu-El-Haija, S. Belongie ... Dataset available from https://github.com/openimages, 2016 | 224* | 2016 |
| Information bottleneck for gaussian variables G Chechik, A Globerson, N Tishby, Y Weiss Journal of Machine Learning Research 6 (1), 165, 2006 | 209 | 2006 |
| Information bottleneck for Gaussian variables G Chechik, A Globerson, N Tishby, Y Weiss Advances in Neural Information Processing Systems 16, 2003 | 209 | 2003 |
| Neuronal regulation: A mechanism for synaptic pruning during brain maturation G Chechik, I Meilijson, E Ruppin Neural computation 11 (8), 2061-2080, 1999 | 189 | 1999 |
| Learning from noisy large-scale datasets with minimal supervision A Veit, N Alldrin, G Chechik, I Krasin, A Gupta, S Belongie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 171 | 2017 |
| Synaptic pruning in development: A computational account G Chechik, I Meilijson, E Ruppin Neural Computation 10 (7), 1759-1777, 1998 | 170 | 1998 |
| Encoding stimulus information by spike numbers and mean response time in primary auditory cortex I Nelken, G Chechik, TD Mrsic-Flogel, AJ King, JWH Schnupp Journal of computational neuroscience 19 (2), 199-221, 2005 | 166 | 2005 |
| Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network G Chechik, E Oh, O Rando, J Weissman, A Regev, D Koller Nature biotechnology 26 (11), 1251, 2008 | 153 | 2008 |
| Max-margin classification of data with absent features G Chechik, G Heitz, G Elidan, P Abbeel, D Koller The Journal of Machine Learning Research 9, 1-21, 2008 | 118 | 2008 |
| An online algorithm for large scale image similarity learning G Chechik, V Sharma, U Shalit, S Bengio Advances in Neural Information Processing Systems 21, 306-314, 2009 | 114 | 2009 |
| Extracting relevant structures with side information G Chechik, N Tishby Advances in Neural Information Processing Systems, 857-864, 2002 | 104 | 2002 |
| 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 | 99 | 2008 |
| Online learning in the manifold of low-rank matrices U Shalit, D Weinshall, G Chechik Advances in Neural Information Processing Systems 23, 2128-2136, 2010 | 95* | 2010 |
| Timing of gene expression responses to environmental changes G Chechik, D Koller Journal of Computational Biology 16 (2), 279-290, 2009 | 81 | 2009 |
| Spike-timing-dependent plasticity and relevant mutual information maximization G Chechik Neural computation 15 (7), 1481-1510, 2003 | 78 | 2003 |
| RELEVANCE-BASED IMAGE SELECTION G Chechik, S Bengio EP Patent 2,471,026, 2012 | 75 | 2012 |
Samy BengioResearch Scientist, Google BrainVerified email at google.com
