Maximilian Idahl

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 14 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Maximilian Idahl trusts overall

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

1. Geoffrey E. Hinton
2. Jieyu Zhao
3. Tomas Mikolov
4. L. V. D. van der Maaten
5. Jeffrey Pennington
6. B. Liu
7. Ilya Sutskever
8. Richard Socher
9. Yoshua Bengio
10. Aylin Caliskan

Papers from Maximilian Idahl's perspective

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

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

Their papers

• Debiasing Word Embeddings from Sentiment Associations in Names (2020) — 9 citations