Morteza Ibrahimi
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
Whom Morteza Ibrahimi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Morteza Ibrahimi's perspective
Ordered by how strongly the researchers Morteza Ibrahimi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Deep Exploration via Bootstrapped DQN
- Weight Uncertainty in Neural Networks
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- HyperNetworks
- Gradient-based learning applied to document recognition
- ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Hypermodels for Exploration (2020) — 49 citations