Aniruddha Ghosh

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #24,468 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 7 citations into it

Whom Aniruddha Ghosh trusts overall

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

1. Diederik P. Kingma
2. Tetsuji Nakagawa
3. Oren Tsur
4. Jimmy Ba
5. Jeff Mitchell
6. Ellen Riloff
7. Sepp Hochreiter
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Akira Utsumi

Who trusts Aniruddha Ghosh overall

1. Kunze Wang
2. Soyeon Caren Han
3. Cynthia Van Hee
4. Siqu Long

Papers from Aniruddha Ghosh's perspective

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

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

Their papers

• Review of studies on tree species classification from remotely sensed data (2016) — 957 citations
• Fracking Sarcasm using Neural Network (2016) — 297 citations
• Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality (2014) — 150 citations