Alex Irpan
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Probabilistic & Bayesian Methods — 29 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Optimization & Training — 19 citations into it
- Natural Language Processing — 10 citations into it
- Model Architectures — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Control and Systems Engineering — 6 citations into it
Whom Alex Irpan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Diederik P. Kingma
- Geoffrey E. Hinton
- Radford M. Neal
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Andrew L. Maas
- Jimmy Ba
- Andriy Mnih
Papers from Alex Irpan's perspective
Ordered by how strongly the researchers Alex Irpan 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors (2018) — 77 citations
- Noise Contrastive Priors for Functional Uncertainty (2018) — 109 citations