Astha Garg

Artificial Intelligence · 2021

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

• Artificial Intelligence — 23 citations into it

Whom Astha Garg trusts overall

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

1. Carl Doersch
2. Jaka Demsar
3. Jonathan Goh
4. Shaojie Bai
5. Daehyung Park
6. Chuadhry Mujeeb Ahmed
7. Subutai Ahmad
8. Mohsin Munir
9. Kyle Hundman
10. Julien Audibert

Who trusts Astha Garg overall

1. Ming Jin

Papers from Astha Garg's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series (2021) — 337 citations