Chaitanya K. Joshi

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 157 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it; #20,106 of 35,345 by trust here, #11,490 by citations
• Computer Vision and Pattern Recognition — 53 citations into it
• Graph Learning — 41 citations into it
• Natural Language Processing — 23 citations into it
• Model Architectures — 21 citations into it
• Materials Chemistry — 15 citations into it
• Molecular Biology — 14 citations into it
• Information Systems — 10 citations into it

Whom Chaitanya K. Joshi trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ronald J. Williams
5. Oriol Vinyals
6. Yann LeCun
7. Alex Krizhevsky
8. Kaiming He
9. Sergey Ioffe
10. Ilya Sutskever

Who trusts Chaitanya K. Joshi overall

1. Vijay Prakash Dwivedi
2. Zhiqing Sun
3. Dietmar Jannach
4. Alexandros Graikos
5. Xinyan Zhao
6. Liangchen Luo
7. Yiming Yang
8. Chengxuan Ying
9. Andreas Loukas
10. Ahtsham Manzoor

Papers from Chaitanya K. Joshi's perspective

Ordered by how strongly the researchers Chaitanya K. Joshi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Benchmarking Graph Neural Networks (2023) — 1,223 citations
• Personalization in Goal-Oriented Dialog (2017) — 105 citations
• An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem (2019) — 481 citations