Adarsh Prasad

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Statistics and Probability — 22 citations into it; #9,680 of 12,932 by trust here, #5,481 by citations
• Optimization & Training — 10 citations into it
• Computational Mechanics — 7 citations into it

Whom Adarsh Prasad trusts overall

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

1. Chao Gao
2. Robert Tibshirani
3. Sébastien Bubeck
4. Olivier Catoni
5. Stanislav Minsker
6. Peter Filzmoser
7. Philippe Huber
8. Ivan Mizera
9. Gábor Lugosi
10. Matthieu Lerasle

Who trusts Adarsh Prasad overall

1. Ilias Diakonikolas
2. Lili Su
3. Yu Cheng
4. Jiaming Xu
5. Saeed Mahloujifar
6. Nirupam Gupta
7. Jerry Zheng Li
8. Weihao Kong

Papers from Adarsh Prasad's perspective

Ordered by how strongly the researchers Adarsh Prasad 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Regression Shrinkage and Selection via the Lasso
6. Intriguing properties of neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Robust estimation via robust gradient estimation (2018) — 238 citations
• Revisiting Adversarial Risk (2018) — 20 citations