Nicolas Y. Masse
Cellular and Molecular Neuroscience · 2009–2018
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Cellular and Molecular Neuroscience — 67 citations into it; #2,033 of 2,998 by trust here, #970 by citations
- Cognitive Neuroscience — 43 citations into it; #1,832 of 10,852 by trust here, #1,845 by citations
- Sensory Systems — 23 citations into it
- Artificial Intelligence — 13 citations into it; #8,869 of 35,345 by trust here, #11,750 by citations
- Representation & Self-Supervised Learning — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Nicolas Y. Masse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Sepp Hochreiter
- Yoshua Bengio
- Ruslan Salakhutdinov
- Andrew Barto
- J. Urgen Schmidhuber
- Richard S. Sutton
- Jimmy Ba
Who trusts Nicolas Y. Masse overall
- Seyed Iman Mirzadeh
- Gido M. van de Ven
- Benjamin Ehret
- Guangyu Robert Yang
- N. A. Cayco-Gajic
- Mehrdad Farajtabar
- Christian Henning
- Jaya Krishna Mandivarapu
- Mozhgan Pourkeshavarz
- Andreas S. Tolias
Papers from Nicolas Y. Masse's perspective
Ordered by how strongly the researchers Nicolas Y. Masse 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization (2018) — 322 citations
- Reach and grasp by people with tetraplegia using a neurally controlled robotic arm (2012) — 2,559 citations
- Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface (2015) — 336 citations
- Olfactory information processing in Drosophila. (2009) — 321 citations