Nikaash Puri

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #33,216 of 35,345 by trust here, #32,362 by citations

Whom Nikaash Puri trusts overall

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

1. Himabindu Lakkaraju
2. Scott M. Lundberg
3. Marco Tulio Ribeiro
4. Benjamin Letham
5. Osbert Bastani
6. Rakesh Agrawal
7. Su-In Lee
8. Sameer Singh
9. Jure Leskovec
10. R. Caruana

Who trusts Nikaash Puri overall

1. Mateusz Staniak
2. Przemyslaw Biecek
3. Christoph Molnar
4. Giuseppe Casalicchio

Papers from Nikaash Puri's perspective

Ordered by how strongly the researchers Nikaash Puri trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Et al
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• MAGIX: Model Agnostic Globally Interpretable Explanations (2017) — 44 citations