Mainak Biswas
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 63 citations into it
Whom Mainak Biswas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Radford M. Neal
- Yann LeCun
- Kaiming He
- Christian Szegedy
- Diederik P. Kingma
- Ruslan Salakhutdinov
Papers from Mainak Biswas's perspective
Ordered by how strongly the researchers Mainak Biswas trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Review on a Deep Learning Perspective in Brain Cancer Classification (2019) — 395 citations
- State-of-the-art review on deep learning in medical imaging. (2019) — 184 citations
- The present and future of deep learning in radiology. (2019) — 313 citations