Maximilian Hopf

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 — 56 citations into it
• Natural Language Processing — 35 citations into it
• Communication — 23 citations into it
• Safety, Robustness & Interpretability — 17 citations into it

Whom Maximilian Hopf trusts overall

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

1. Zeerak Talat
2. Paula Fortuna
3. Diederik P. Kingma
4. Michael Castelle
5. Thomas Davidson
6. Ji Ho Park
7. Irene Kwok
8. Yuanzhi Li
9. Jacob Devlin
10. Mainack Mondal

Who trusts Maximilian Hopf overall

1. Bertie Vidgen

Papers from Maximilian Hopf's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Developing an online hate classifier for multiple social media platforms (2020) — 268 citations