Ayan Acharya

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #17,137 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #12,867 of 21,575 by trust here, #18,266 by citations
• Statistics and Probability — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it; #2,081 of 3,145 by trust here, #2,863 by citations
• Signal Processing — 5 citations into it; #5,871 of 7,572 by trust here, #5,829 by citations

Whom Ayan Acharya trusts overall

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

1. David G. Lowe
2. Radford M. Neal
3. R. Caruana
4. David M. Blei
5. Geoffrey E. Hinton
6. Seyoung Kim
7. Yoshua Bengio
8. Alex Krizhevsky
9. Antoine Bordes
10. Diederik P. Kingma

Who trusts Ayan Acharya overall

1. Yu Zhang
2. Meng Fang
3. Qiang Yang
4. Dacheng Tao
5. L. Dixon

Papers from Ayan Acharya's perspective

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

Their papers

• Active Multitask Learning Using Both Latent and Supervised Shared Topics (2014) — 41 citations
• Cluster ensembles (2011) — 328 citations