Daniel McNamara
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #28,603 of 35,345 by trust here, #27,551 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
Whom Daniel McNamara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Tomas Mikolov
- Geoffrey E. Hinton
- Ilya Sutskever
- Andrew Y. Ng
- Yishay Mansour
- Rajat Raina
- Richard S. Zemel
- Andreas Maurer
- Andreas Argyriou
Who trusts Daniel McNamara overall
- Luca Oneto
- Yaqing Wang
- Simon Shaolei Du
- Francesco Locatello
- Silvia Chiappa
- Quanming Yao
- Alexandra Chouldechova
- Wei Hu
- Steve Hanneke
- Gabriele Abbati
Papers from Daniel McNamara's perspective
Ordered by how strongly the researchers Daniel McNamara 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Provably Fair Representations (2017) — 59 citations
- Risk Bounds for Transferring Representations With and Without Fine-Tuning (2017) — 44 citations