Anand Subramoney
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #22,234 of 35,345 by trust here, #15,236 by citations
- Cognitive Neuroscience — 22 citations into it; #5,715 of 10,852 by trust here, #4,443 by citations
- Model Architectures — 10 citations into it
- Optimization & Training — 10 citations into it
- Cellular and Molecular Neuroscience — 8 citations into it
Whom Anand Subramoney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ronald J. Williams
- Alex Graves
- Wulfram Gerstner
- David Sussillo
- Xavier Glorot
- Alex Krizhevsky
- Richard S. Sutton
Who trusts Anand Subramoney overall
Papers from Anand Subramoney's perspective
Ordered by how strongly the researchers Anand Subramoney trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Long short-term memory and Learning-to-learn in networks of spiking neurons (2018) — 601 citations
- A solution to the learning dilemma for recurrent networks of spiking neurons (2019) — 631 citations