Sohini Upadhyay

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Sohini Upadhyay trusts overall

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

1. Ramon van Handel
2. Marco Tulio Ribeiro
3. Berk Ustun
4. Amir-Hossein Karimi
5. Suresh Venkatasubramanian
6. Anish Athalye
7. Sameer Singh
8. Ian J. Goodfellow
9. J. Kolter
10. Arnaud Van Looveren

Papers from Sohini Upadhyay's perspective

Ordered by how strongly the researchers Sohini Upadhyay 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. Explaining and Harnessing Adversarial Examples
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Towards Robust and Reliable Algorithmic Recourse (2021) — 136 citations