Steffen Eger
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 6 papers; trusts 181 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it; #7,737 of 35,345 by trust here, #7,728 by citations
- Natural Language Processing — 124 citations into it; #2,404 of 5,688 by trust here, #2,106 by citations
- Evaluation & Benchmarks — 50 citations into it; #1,075 of 3,147 by trust here, #1,277 by citations
- Computer Vision and Pattern Recognition — 36 citations into it
- Representation & Self-Supervised Learning — 35 citations into it
- Information Systems — 11 citations into it; #6,478 of 8,771 by trust here, #8,676 by citations
- Model Architectures — 7 citations into it
- Molecular Biology — 7 citations into it
Whom Steffen Eger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Tomas Mikolov
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Alex Krizhevsky
- Christopher D. Manning
- Richard Socher
- Chin-Yew Lin
Who trusts Steffen Eger overall
- Wei Zhao
- Wenjie Luo
- Tanya Goyal
- Marvin Kaster
- Pierre Colombo
- Yang Gao
- Yixin Liu
- Johnny Tian-Zheng Wei
- Sebastian Gehrmann
- Alexander R. Fabbri
Papers from Steffen Eger's perspective
Ordered by how strongly the researchers Steffen Eger trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance (2019) — 732 citations
- SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization (2020) — 142 citations
- Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations (2018) — 102 citations
- Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications (2019) — 130 citations
- Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors (2021) — 32 citations
- Restricted Weighted Integer Compositions and Extended Binomial Coefficients (2013) — 58 citations