Sohag Kabir
Statistics and Probability · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 16 citations into it; #6,750 of 12,932 by trust here, #12,077 by citations
- Artificial Intelligence — 9 citations into it
- Software — 9 citations into it; #520 of 1,227 by trust here, #1,184 by citations
- Safety, Risk, Reliability and Quality — 7 citations into it; #402 of 1,220 by trust here, #1,171 by citations
Whom Sohag Kabir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nima Khakzad
- Andrea Bobbio
- Judea Pearl
- Marta Z. Kwiatkowska
- Hichem Boudali
- Carl E. Rasmussen
- Kevin P. Murphy
- Xavier Boyen
- Daniel Straub
- Agnar Aamodt
Who trusts Sohag Kabir overall
Papers from Sohag Kabir's perspective
Ordered by how strongly the researchers Sohag Kabir 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
- Probabilistic reasoning in intelligent systems - networks of plausible inference
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)