Prakhar Kaushik

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 38 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 — 20 citations into it
• Meta & Continual Learning — 18 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Optimization & Training — 8 citations into it

Whom Prakhar Kaushik trusts overall

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

1. R. M. French
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Kaiming He
5. Geoffrey E. Hinton
6. Ronald Kemker
7. Yoshua Bengio
8. Yann LeCun
9. Anthony V. Robins
10. Jia Deng

Who trusts Prakhar Kaushik overall

1. Yingcong Li
2. Randy Ardywibowo
3. Mingchen Li

Papers from Prakhar Kaushik's perspective

Ordered by how strongly the researchers Prakhar Kaushik 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. 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. 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

• Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping (2021) — 80 citations