Marisa Kirisame
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Marisa Kirisame trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Sepp Hochreiter
- Adam Paszke
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Laurent Hascoët
- Alex Krizhevsky
- Gao Huang
- X. Zhang
- Olaf Ronneberger
Who trusts Marisa Kirisame overall
Papers from Marisa Kirisame's perspective
Ordered by how strongly the researchers Marisa Kirisame 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Relay: a new IR for machine learning frameworks (2018) — 122 citations
- Dynamic Tensor Rematerialization (2020) — 119 citations