Jesse A. Livezey
Computer Vision and Pattern Recognition · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it; #9,874 of 21,575 by trust here, #8,021 by citations
- Artificial Intelligence — 21 citations into it
- Representation & Self-Supervised Learning — 8 citations into it; #2,253 of 3,145 by trust here, #1,527 by citations
Whom Jesse A. Livezey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Pascal Vincent
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Josh Tenenbaum
- Ian J. Goodfellow
- Ilya Sutskever
Who trusts Jesse A. Livezey overall
- Hsin-Ying Lee
- Francesco Locatello
- Divya Saxena
- Scott E. Reed
- Theofanis Karaletsos
- Irina Higgins
- Emile Mathieu
- José Lezama
- Yao-Hung Hubert Tsai
- Hung-Yu Tseng
Papers from Jesse A. Livezey's perspective
Ordered by how strongly the researchers Jesse A. Livezey 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Discovering Hidden Factors of Variation in Deep Networks (2014) — 199 citations
- Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations