Ankit Thakkar
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 2 papers; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it
- Artificial Intelligence — 85 citations into it
- Computer Networks and Communications — 45 citations into it
- Biomedical Engineering — 28 citations into it
- Signal Processing — 21 citations into it
- Model Architectures — 8 citations into it
- Information Systems — 7 citations into it
Whom Ankit Thakkar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Leo Breiman
- Shan Suthaharan
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Jia Deng
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
Papers from Ankit Thakkar's perspective
Ordered by how strongly the researchers Ankit Thakkar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge