Adhyyan Narang

2020

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

Whom Adhyyan Narang trusts overall

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

1. Peter L. Bartlett
2. Ziwei Ji
3. Béatrice Laurent
4. Daniel Soudry
5. Vidya Muthukumar

Papers from Adhyyan Narang's perspective

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

1. Understanding deep learning requires rethinking generalization
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Information Theory: 1948-1998 - Guest Editorial
6. Spectrally-normalized margin bounds for neural networks
7. Learning Multiple Layers of Features from Tiny Images
8. A Probabilistic Theory of Pattern Recognition
9. A training algorithm for optimal margin classifiers
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Classification vs regression in overparameterized regimes: Does the loss function matter? (2020) — 172 citations