Shirish Subhash Karande
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #10,410 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 10 citations into it; #16,324 of 35,345 by trust here, #28,481 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Model Architectures — 5 citations into it
Whom Shirish Subhash Karande trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Geoffrey E. Hinton
- L. Eon Bottou
- Bernhard Schölkopf
- Jimmy Ba
- Diederik P. Kingma
- Antonio Torralba
- Ilya Sutskever
Who trusts Shirish Subhash Karande overall
Papers from Shirish Subhash Karande's perspective
Ordered by how strongly the researchers Shirish Subhash Karande 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Knowledge distillation using unlabeled mismatched images (2017) — 17 citations
- Layer-wise training of deep networks using kernel similarity (2017) — 42 citations