A. Samajdar

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #16,429 of 21,575 by trust here, #14,822 by citations
• Electrical and Electronic Engineering — 28 citations into it; #10,619 of 16,539 by trust here, #11,977 by citations
• Artificial Intelligence — 26 citations into it

Whom A. Samajdar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Yu-hsin Chen
3. Song Han
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Ashish Vaswani
7. Kaiming He
8. Tianshi Chen
9. Yoshua Bengio
10. Yann LeCun

Who trusts A. Samajdar overall

1. Sheng-Chun Kao
2. Hyoukjun Kwon
3. Tushar Krishna

Papers from A. Samajdar's perspective

Ordered by how strongly the researchers A. Samajdar trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects (2018) — 447 citations
• SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training (2020) — 515 citations