Andrew Achkar
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 291 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it; #17,693 of 21,575 by trust here, #11,083 by citations
- Artificial Intelligence — 32 citations into it; #28,729 of 35,345 by trust here, #33,294 by citations
- Efficiency & Compression — 18 citations into it; #1,010 of 1,264 by trust here, #1,242 by citations
- Model Architectures — 11 citations into it
- Optimization & Training — 8 citations into it
- Sensory Systems — 7 citations into it
Whom Andrew Achkar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
- Ross B. Girshick
Who trusts Andrew Achkar overall
Papers from Andrew Achkar's perspective
Ordered by how strongly the researchers Andrew Achkar 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Non-local Deep Features for Salient Object Detection (2017) — 557 citations
- Structured Pruning of Neural Networks With Budget-Aware Regularization (2018) — 99 citations