Arna Ghosh
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it; #18,662 of 21,575 by trust here, #8,122 by citations
- Generative Models — 51 citations into it; #1,703 of 1,956 by trust here, #909 by citations
- Artificial Intelligence — 30 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Arna Ghosh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Christian Szegedy
- Ian J. Goodfellow
- L. Eon Bottou
Who trusts Arna Ghosh overall
- Ngoc-Trung Tran
- Animesh Karnewar
- Garrett Wilson
- Divya Saxena
- Yongjun Hong
- Ke Li
- Abdul Jabbar
- Ting-Chun Wang
- Oliver Wang
- Ze Wang
Papers from Arna Ghosh's perspective
Ordered by how strongly the researchers Arna Ghosh 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multi-agent Diverse Generative Adversarial Networks (2017) — 332 citations
- Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation (2019) — 151 citations