Christoph Hube
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Natural Language Processing — 16 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Communication — 6 citations into it; #2,648 of 3,460 by trust here, #3,097 by citations
- Sociology and Political Science — 5 citations into it
Whom Christoph Hube trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jieyu Zhao
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Tomas Mikolov
- Jeffrey Pennington
- B. Liu
- Ilya Sutskever
- Richard Socher
- Aylin Caliskan
- Yoshua Bengio
Who trusts Christoph Hube overall
Papers from Christoph Hube's perspective
Ordered by how strongly the researchers Christoph Hube 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- GloVe: Global Vectors for Word Representation
- 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
- Bias in Wikipedia (2017) — 50 citations