Nirat Saini

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 192 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #17,151 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 23 citations into it; #28,083 of 35,345 by trust here, #23,731 by citations
• Natural Language Processing — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Multimodal Learning — 10 citations into it; #932 of 1,211 by trust here, #1,033 by citations

Whom Nirat Saini trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Oriol Vinyals
7. Andrew Zisserman
8. Diederik P. Kingma
9. Aishwarya Agrawal
10. Ilya Sutskever

Who trusts Nirat Saini overall

1. Aman Chadha

Papers from Nirat Saini's perspective

Ordered by how strongly the researchers Nirat Saini 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Explicit Bias Discovery in Visual Question Answering Models (2018) — 99 citations