Vivek Kumar Bagaria

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Vivek Kumar Bagaria trusts overall

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

1. Andrew Y. Ng
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Yann LeCun
5. Michael I. Jordan
6. Yoshua Bengio
7. L. Eon Bottou
8. Alex Krizhevsky
9. Rong Ge
10. Olga Russakovsky

Papers from Vivek Kumar Bagaria's perspective

Ordered by how strongly the researchers Vivek Kumar Bagaria trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Exploring patterns enriched in a dataset with contrastive principal component analysis (2018) — 234 citations
• Contrastive Principal Component Analysis (2017) — 32 citations