Abhilash Shankarampeta

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Meta & Continual Learning — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Abhilash Shankarampeta trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Oriol Vinyals
7. Yann LeCun
8. Jia Deng
9. Ilya Sutskever
10. Marc'Aurelio Ranzato

Papers from Abhilash Shankarampeta's perspective

Ordered by how strongly the researchers Abhilash Shankarampeta 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Few-Shot Class Incremental Learning with Generative Feature Replay (2021) — 12 citations