Abhishek Bhowmick
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it; #21,549 of 35,345 by trust here, #11,750 by citations
- Privacy & Security — 23 citations into it; #520 of 709 by trust here, #372 by citations
- Statistics and Probability — 11 citations into it
- Optimization & Training — 9 citations into it
- Management Science and Operations Research — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Abhishek Bhowmick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Duchi
- Cynthia Dwork
- Steven Bird
- Hilal Asi
- Tong Zhang
- Martin A. Zinkevich
- Kaiming He
- Anatoli B. Juditsky
- Michael I. Jordan
- Moritz Hardt
Who trusts Abhishek Bhowmick overall
- Lichao Sun
- Vitaly Feldman
- Leighton Pate Barnes
- Lingjuan Lyu
- Wei-Ning Chen
- Ayfer Özgür
- Xuefei Yin
- Peter Kairouz
- Hilal Asi
- Borja Balle
Papers from Abhishek Bhowmick's perspective
Ordered by how strongly the researchers Abhishek Bhowmick 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Protection Against Reconstruction and Its Applications in Private Federated Learning (2018) — 408 citations
- Noiseless Database Privacy (2011) — 102 citations