Eeshan Gunesh Dhekane

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Cultural Studies — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Eeshan Gunesh Dhekane trusts overall

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

1. Simon Kirby
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Sepp Hochreiter
6. Drew A. Hudson
7. Diederik P. Kingma
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Yann LeCun

Papers from Eeshan Gunesh Dhekane's perspective

Ordered by how strongly the researchers Eeshan Gunesh Dhekane 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Iterated learning for emergent systematicity in VQA (2021) — 28 citations