Sumit Kumar

Artificial Intelligence · with Agarwal · 2019

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Reinforcement Learning — 21 citations into it
• Management Science and Operations Research — 6 citations into it
• LLM Agents & Tool Use — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Sumit Kumar trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. John Schulman
4. Michael L. Littman
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yedid Hoshen
8. Richard S. Sutton
9. Jimmy Ba
10. Ilya Sutskever

Papers from Sumit Kumar's perspective

Ordered by how strongly the researchers Sumit Kumar 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Learning Transferable Cooperative Behavior in Multi-Agent Teams (2019) — 157 citations