Balaraman Ravindran

Artificial Intelligence · with Chandar · 2021

A researcher in the Science corpus: 1 paper; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Meta & Continual Learning — 29 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Optimization & Training — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Balaraman Ravindran trusts overall

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

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

Papers from Balaraman Ravindran's perspective

Ordered by how strongly the researchers Balaraman Ravindran 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

• TAG: Task-based Accumulated Gradients for Lifelong learning (2021) — 8 citations