Shibhansh Dohare

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #28,945 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 41 citations into it
• Optimization & Training — 30 citations into it
• Model Architectures — 22 citations into it
• Reinforcement Learning — 22 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Shibhansh Dohare trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Yann LeCun
5. Ilya Sutskever
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Richard S. Sutton
9. Sergey Ioffe
10. Sepp Hochreiter

Who trusts Shibhansh Dohare overall

1. Mohamed Elsayed
2. A. Rupam Mahmood

Papers from Shibhansh Dohare's perspective

Ordered by how strongly the researchers Shibhansh Dohare 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. 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. 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

• Continual Backprop: Stochastic Gradient Descent with Persistent Randomness (2021) — 104 citations
• Loss of plasticity in deep continual learning (2024) — 353 citations