Abhishek Chakraborty

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Signal Processing — 6 citations into it
• Hardware and Architecture — 5 citations into it

Whom Abhishek Chakraborty trusts overall

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

1. Jia Guo
2. Erwan Le Merrer
3. Bita Darvish Rouhani
4. Yusuke Uchida
5. Yossi Adi
6. Jialong Zhang
7. Miodrag Potkonjak
8. Patrick Pérez
9. Huili Chen
10. Kaiming He

Who trusts Abhishek Chakraborty overall

1. Lixu Wang
2. Manaar Alam
3. Irene Solaiman
4. Shichao Xu
5. Sayandeep Saha
6. Xiao Wang
7. Debdeep Mukhopadhyay

Papers from Abhishek Chakraborty's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Hardware-Assisted Intellectual Property Protection of Deep Learning Models (2020) — 103 citations