Benjamin Maschler

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Benjamin Maschler trusts overall

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

1. Ilya Sutskever
2. Chong Zhou
3. Tharindu Fernando
4. Daehyung Park
5. Adrian Taylor
6. Mikel Canizo
7. Houssam Zenati

Papers from Benjamin Maschler's perspective

Ordered by how strongly the researchers Benjamin Maschler 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Anomaly Detection for Technical Systems using LSTM Networks (2021) — 410 citations