Chandan Gautam

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #31,887 of 35,345 by trust here, #34,943 by citations
• Computer Vision and Pattern Recognition — 53 citations into it; #19,581 of 21,575 by trust here, #21,424 by citations
• Representation & Self-Supervised Learning — 22 citations into it
• Radiology, Nuclear Medicine and Imaging — 20 citations into it
• Meta & Continual Learning — 13 citations into it
• Generative Models — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Chandan Gautam trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yongqin Xian
4. Yoshua Bengio
5. Marc'Aurelio Ranzato
6. Diederik P. Kingma
7. Kaiming He
8. Yann LeCun
9. Arslan Chaudhry
10. Individualized Treat

Who trusts Chandan Gautam overall

1. Subhankar Ghosh

Papers from Chandan Gautam's perspective

Ordered by how strongly the researchers Chandan Gautam 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Generative Replay-based Continual Zero-Shot Learning (2021) — 10 citations
• Generalized Continual Zero-Shot Learning (2020) — 12 citations