Dheeraj M. Nagaraj

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 17 citations into it
• Artificial Intelligence — 10 citations into it; #27,869 of 35,345 by trust here, #29,412 by citations
• Computational Mechanics — 7 citations into it; #7,871 of 10,001 by trust here, #7,884 by citations

Whom Dheeraj M. Nagaraj trusts overall

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

1. Ohad Shamir
2. Mark W. Schmidt
3. Rie Johnson
4. Francis R. Bach
5. Aaron Defazio
6. Tong Zhang
7. Yurii E. Nesterov
8. L. Eon Bottou
9. Filippo Santambrogio
10. Nicolas Le Roux

Who trusts Dheeraj M. Nagaraj overall

1. Kwangjun Ahn
2. Lam M. Nguyen

Papers from Dheeraj M. Nagaraj's perspective

Ordered by how strongly the researchers Dheeraj M. Nagaraj 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SGD without Replacement: Sharper Rates for General Smooth Convex Functions (2019) — 101 citations