Nikhil Churamani

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Meta & Continual Learning — 20 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Cognitive Neuroscience — 7 citations into it
• Social Psychology — 6 citations into it

Whom Nikhil Churamani trusts overall

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

1. German Ignacio Parisi
2. Anthony V. Robins
3. Ronald Kemker
4. Vincenzo Lomonaco
5. Zhizhong Li
6. Geoffrey E. Hinton
7. Friedemann Zenke
8. Alex Krizhevsky
9. Andrei A. Rusu
10. Yoshua Bengio

Papers from Nikhil Churamani's perspective

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

Their papers

• CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions (2020) — 54 citations
• Continual Learning for Affective Robotics: Why, What and How? (2020) — 56 citations