Yavuz Yetim
Information Systems · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 11 citations into it
- Recommender Systems — 7 citations into it
Whom Yavuz Yetim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yavuz Yetim's perspective
Ordered by how strongly the researchers Yavuz Yetim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Efficient Estimation of Word Representations in Vector Space
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
Their papers
- Understanding Capacity-Driven Scale-Out Neural Recommendation Inference (2020) — 58 citations