Sandesh Kamath

Artificial Intelligence · with Goswami · 2024

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Meta & Continual Learning — 25 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Sandesh Kamath trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Jia Deng
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Da-Wei Zhou
9. Ian J. Goodfellow
10. Christian Szegedy

Papers from Sandesh Kamath's perspective

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

Their papers

• Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning (2024) — 48 citations