Avinash Balakrishnan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 24 citations into it; #9,556 of 35,345 by trust here, #12,974 by citations
• Generative Models — 21 citations into it; #651 of 1,956 by trust here, #1,021 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it; #630 of 1,525 by trust here, #633 by citations

Whom Avinash Balakrishnan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Max Welling
6. Yann LeCun
7. Danilo Jimenez Rezende
8. Radford M. Neal
9. J. Urgen Schmidhuber
10. Kaiming He

Who trusts Avinash Balakrishnan overall

1. Francesco Locatello
2. Raphael Suter
3. Stefan Bauer
4. Kien Do
5. Abdul Fatir Ansari
6. Javier Antorán
7. Bernhard Schölkopf

Papers from Avinash Balakrishnan's perspective

Ordered by how strongly the researchers Avinash Balakrishnan 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Variational Inference of Disentangled Latent Concepts from Unlabeled Observations (2017) — 602 citations