Subrota Kumar Mondal
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 431 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 161 citations into it
- Computer Vision and Pattern Recognition — 147 citations into it
- Meta & Continual Learning — 47 citations into it
- Representation & Self-Supervised Learning — 47 citations into it
- Natural Language Processing — 15 citations into it
- Large Language Models — 12 citations into it
- Prompting & Reasoning — 11 citations into it
Whom Subrota Kumar Mondal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Ruslan Salakhutdinov
Papers from Subrota Kumar Mondal's perspective
Ordered by how strongly the researchers Subrota Kumar Mondal 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images