Arghya Pal

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #14,692 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #9,494 of 21,575 by trust here, #19,766 by citations
• Representation & Self-Supervised Learning — 12 citations into it

Whom Arghya Pal trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Rob Fergus
8. Abhinav Kumar Gupta
9. Yann LeCun
10. Andrew Zisserman

Who trusts Arghya Pal overall

1. Andrew Kyle Lampinen
2. Zhipeng Bao
3. Vinay Kumar Verma
4. James L. McClelland
5. Yu-Xiong Wang
6. Dhanajit Brahma
7. K. J. Joseph
8. Martial Hebert
9. Piyush Rai

Papers from Arghya Pal's perspective

Ordered by how strongly the researchers Arghya Pal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Zero-Shot Task Transfer (2019) — 54 citations