Latha Pemula

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 110 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Computer Networks and Communications — 12 citations into it
• Industrial and Manufacturing Engineering — 10 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 6 citations into it

Whom Latha Pemula trusts overall

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

1. Kaiming He
2. Paul Bergmann
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Jia Deng
10. Ilya Sutskever

Who trusts Latha Pemula overall

1. Zhaopeng Gu
2. Kilian Batzner

Papers from Latha Pemula's perspective

Ordered by how strongly the researchers Latha Pemula 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Total Recall in Industrial Anomaly Detection (2021) — 1,710 citations
• SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation (2022) — 729 citations