Sarthak Mittal

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Reinforcement Learning — 17 citations into it

Whom Sarthak Mittal trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. Xavier Glorot
9. J. Urgen Schmidhuber
10. Ilya Sutskever

Who trusts Sarthak Mittal overall

1. Mario Geiger

Papers from Sarthak Mittal's perspective

Ordered by how strongly the researchers Sarthak Mittal 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. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning (2021) — 77 citations
• A Modern Take on the Bias-Variance Tradeoff in Neural Networks (2018) — 186 citations