Ankit Shrivastava

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Ankit Shrivastava trusts overall

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

1. Kaiming He
2. Matthew D. Zeiler
3. Geoffrey E. Hinton

Papers from Ankit Shrivastava's perspective

Ordered by how strongly the researchers Ankit Shrivastava 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Intriguing properties of neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Visualizing and Understanding Convolutional Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Towards Frequency-Based Explanation for Robust CNN (2020) — 57 citations