Orchid Majumder

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Orchid Majumder trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jimmy Ba
7. Oriol Vinyals
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Orchid Majumder's perspective

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

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

Their papers

• Incremental Meta-Learning via Indirect Discriminant Alignment (2020) — 6 citations