Deepak Mishra

Computer Vision and Pattern Recognition · with Prathosh · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 39 citations into it
• Generative Models — 27 citations into it
• Representation & Self-Supervised Learning — 23 citations into it

Whom Deepak Mishra trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Jost Tobias Springenberg
6. Luke Metz
7. Jeff Donahue
8. Yann LeCun
9. Ilya Sutskever
10. Alec Radford

Papers from Deepak Mishra's perspective

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

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

Their papers

• Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search (2020) — 31 citations
• Mode matching in GANs through latent space learning and inversion (2018)