Rómer Rosales
Artificial Intelligence · 2003–2014
A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Statistics and Probability — 16 citations into it; #5,081 of 12,932 by trust here, #6,552 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #6,333 of 21,575 by trust here, #9,079 by citations
- Management Science and Operations Research — 15 citations into it; #3,743 of 11,946 by trust here, #3,572 by citations
- Optimization & Training — 15 citations into it
- Statistical Learning Theory — 11 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Reinforcement Learning — 10 citations into it
Whom Rómer Rosales trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Brendan J. Frey
- Geoffrey E. Hinton
- David D. Lewis
- J. Langford
- Stuart Geman
- William T. Freeman
- David John Cameron MacKay
- Lihong Li
- Aaron Hertzmann
Who trusts Rómer Rosales overall
- Lihong Li
- Jun-Yan Zhu
- Guo-Xun Yuan
- Daniel Russo
- Yangqing Jia
- Mariano Massimiliano Croce
- Sivaraman Balakrishnan
- Mark W. Schmidt
- Zhi-Hua Zhou
- Taesung Park
Papers from Rómer Rosales's perspective
Ordered by how strongly the researchers Rómer Rosales trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches (2007) — 424 citations
- Unsupervised image translation (2003) — 73 citations
- Simple and Scalable Response Prediction for Display Advertising (2014) — 380 citations
- Automatic ad format selection via contextual bandits (2013) — 142 citations
- Structure learning in random fields for heart motion abnormality detection (2008) — 145 citations
- Active Learning from Crowds (2011) — 354 citations