Shayok Chakraborty
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 233 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it; #5,944 of 21,575 by trust here, #5,287 by citations
- Artificial Intelligence — 30 citations into it; #8,274 of 35,345 by trust here, #7,346 by citations
- Representation & Self-Supervised Learning — 20 citations into it; #1,022 of 3,145 by trust here, #972 by citations
Whom Shayok Chakraborty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yoshua Bengio
- Mingsheng Long
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Yann LeCun
- Karen Simonyan
- Sepp Hochreiter
- Diederik P. Kingma
Who trusts Shayok Chakraborty overall
- Mingsheng Long
- Han-Jia Ye
- Zhangjie Cao
- Pedro H. O. Pinheiro
- Kaiyang Zhou
- Hyunjae Lee
- Jian Liang
- Dapeng Hu
- Hyeonseob Nam
- Yifan Zhang
Papers from Shayok Chakraborty's perspective
Ordered by how strongly the researchers Shayok Chakraborty 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Deep Hashing Network for Unsupervised Domain Adaptation (2017) — 2,514 citations