Soham Pal

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #33,874 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 14 citations into it
• Information Systems — 7 citations into it; #1,760 of 8,771 by trust here, #1,331 by citations
• Software — 6 citations into it; #235 of 1,227 by trust here, #158 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Soham Pal trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yann LeCun
5. Ilya Sutskever
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Jimmy Ba
9. Tomas Mikolov
10. Yoon Kim

Who trusts Soham Pal overall

1. Michael Pradel
2. Michihiro Yasunaga
3. Matthew Jagielski
4. Jacob A. Harer
5. Hengrui Jia
6. Aditya Kanade
7. Rishabh Singh
8. Percy Liang
9. Kalpesh Krishna
10. Nicolas Papernot

Papers from Soham Pal's perspective

Ordered by how strongly the researchers Soham 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A framework for the extraction of Deep Neural Networks by leveraging public data (2019) — 63 citations
• DeepFix: Fixing Common C Language Errors by Deep Learning (2017) — 549 citations