Batihan Sener

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Batihan Sener trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Simon S. Haykin
2. Michael A. Arbib
3. Richard S. Sutton
4. Karen Simonyan
5. Sepp Hochreiter
6. Andrew Barto
7. Pavlo Molchanov
8. J. Urgen Schmidhuber
9. Andrew Zisserman
10. Geoffrey E. Hinton

Papers from Batihan Sener's perspective

Ordered by how strongly the researchers Batihan Sener trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. Visualizing and Understanding Convolutional Networks
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Review of tool condition monitoring in machining and opportunities for deep learning (2020) — 313 citations