Vlad M. Cora
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 95 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #2,419 of 35,345 by trust here, #4,860 by citations
- Computational Theory and Mathematics — 11 citations into it
- Reinforcement Learning — 9 citations into it; #267 of 2,242 by trust here, #463 by citations
- Management Science and Operations Research — 5 citations into it; #351 of 11,946 by trust here, #457 by citations
Whom Vlad M. Cora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Donald R. Jones
- Michael A. Osborne
- Andrew Barto
- David John Cameron MacKay
- Jonas Mockus
- Dimitri P. Bertsekas
- Bruce E. Stuckman
- Ronald E. Parr
- Thomas G. Dietterich
Who trusts Vlad M. Cora overall
- Frank Hutter
- Aaron Klein
- Matthias Feurer
- Ziyun Wang
- Stefan Falkner
- Katharina Eggensperger
- Kirthevasan Kandasamy
- Marc-André Zöller
- Zoubin Ghahramani
- Nando de Freitas
Papers from Vlad M. Cora's perspective
Ordered by how strongly the researchers Vlad M. Cora 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)