Partha Ghosh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 37 citations into it
• Artificial Intelligence — 27 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Partha Ghosh trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Max Welling
6. Yann LeCun
7. Sergey Ioffe
8. Radford M. Neal
9. Kaiming He
10. Christian Szegedy

Who trusts Partha Ghosh overall

1. Jyoti Aneja
2. Bo Pang
3. Shen Yan
4. Zijun Zhang
5. Denis Yarats
6. Arash Vahdat
7. Alexander Gerhard Schwing
8. Jan Kautz

Papers from Partha Ghosh's perspective

Ordered by how strongly the researchers Partha Ghosh 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• From Variational to Deterministic Autoencoders (2019) — 300 citations