Ankit Vani

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Natural Language Processing — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Cultural Studies — 8 citations into it
• Optimization & Training — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ankit Vani trusts overall

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

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

Who trusts Ankit Vani overall

1. Dan Friedman

Papers from Ankit Vani's perspective

Ordered by how strongly the researchers Ankit Vani 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. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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
• GAIT: A Geometric Approach to Information Theory (2019) — 12 citations