Fazle Karim
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #24,265 of 35,345 by trust here, #21,878 by citations
- Signal Processing — 16 citations into it; #5,018 of 7,572 by trust here, #4,051 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 6 citations into it
- Economics and Econometrics — 5 citations into it
- Management Science and Operations Research — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Fazle Karim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Geoffrey E. Hinton
- Gary King
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
- Sergey Ioffe
- Alex Krizhevsky
- Dzmitry Bahdanau
Who trusts Fazle Karim overall
- Xuchao Zhang
- Adil Rasheed
- Alvarez-Vanhard Emilien
- Alejandro Pasos Ruiz
- Yifeng Gao
- Jessica Lin
- Omer San
- Corpetti Thomas
- Michael D. Flynn
- Chang-Tien Lu
Papers from Fazle Karim's perspective
Ordered by how strongly the researchers Fazle Karim 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Multivariate LSTM-FCNs for Time Series Classification (2018) — 1,048 citations
- LSTM Fully Convolutional Networks for Time Series Classification (2017) — 1,303 citations