Anant Gupta

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Computational Mechanics — 5 citations into it

Whom Anant Gupta trusts overall

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

1. Yurii E. Nesterov
2. B. Recht

Who trusts Anant Gupta overall

1. Amirkeivan Mohtashami
2. Shashank Rajput
3. Kwangjun Ahn

Papers from Anant Gupta's perspective

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

1. Introductory Lectures on Convex Optimization - A Basic Course
2. Parallel stochastic gradient algorithms for large-scale matrix completion
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. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Going deeper with convolutions
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Closing the convergence gap of SGD without replacement (2020) — 75 citations