Zeynep Batmaz
Information Systems · 2018
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 45 citations into it; #5,459 of 8,771 by trust here, #5,942 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Artificial Intelligence — 29 citations into it; #24,428 of 35,345 by trust here, #25,809 by citations
- Recommender Systems — 19 citations into it
- Signal Processing — 10 citations into it
- Management Science and Operations Research — 9 citations into it; #7,680 of 11,946 by trust here, #7,262 by citations
- Representation & Self-Supervised Learning — 8 citations into it
Whom Zeynep Batmaz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- Hao Wang
- Robin D. Burke
- Alex Krizhevsky
- Balázs Hidasi
- Diederik P. Kingma
- Yann LeCun
- Radford M. Neal
Who trusts Zeynep Batmaz overall
Papers from Zeynep Batmaz's perspective
Ordered by how strongly the researchers Zeynep Batmaz 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- A review on deep learning for recommender systems: challenges and remedies (2018) — 450 citations