Alex W. Nowak
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Model Architectures — 18 citations into it; #1,647 of 2,278 by trust here, #2,268 by citations
- Natural Language Processing — 10 citations into it
- Graph Learning — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Alex W. Nowak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Oriol Vinyals
- Wojciech Zaremba
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sepp Hochreiter
- Sainbayar Sukhbaatar
- Yoshua Bengio
- Jason Aaron Edward Weston
Who trusts Alex W. Nowak overall
- Paul Christiano
- Wouter Kool
- Chaitanya K. Joshi
- Kiran Koshy Thekumparampil
- Yaoxin Wu
- Buck Shlegeris
- Max Welling
- Thomas Laurent
- Dario Amodei
- Chong Wang
Papers from Alex W. Nowak's perspective
Ordered by how strongly the researchers Alex W. Nowak 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks (2017) — 127 citations
- Divide and Conquer with Neural Networks (2017) — 4 citations