Saahil Ognawala
Artificial Intelligence · 2014–2024
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #24,560 of 35,345 by trust here, #34,943 by citations
- Model Architectures — 10 citations into it
- Optimization & Training — 10 citations into it; #2,003 of 2,601 by trust here, #2,588 by citations
- Signal Processing — 6 citations into it; #5,163 of 7,572 by trust here, #7,486 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Saahil Ognawala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Graves
- Yoshua Bengio
- James Martens
- Ilya Sutskever
- Yurii E. Nesterov
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Razvan Pascanu
Who trusts Saahil Ognawala overall
Papers from Saahil Ognawala's perspective
Ordered by how strongly the researchers Saahil Ognawala 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)
- Long Short-Term Memory
- 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)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)