Christian Fuegen
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 78 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 184 citations into it; #20,674 of 35,345 by trust here, #5,638 by citations
- Computer Vision and Pattern Recognition — 179 citations into it
- Speech & Audio — 118 citations into it; #658 of 1,076 by trust here, #231 by citations
- Signal Processing — 109 citations into it; #7,525 of 7,572 by trust here, #2,990 by citations
- Natural Language Processing — 52 citations into it; #5,126 of 5,688 by trust here, #1,583 by citations
- Optimization & Training — 10 citations into it
- Efficiency & Compression — 7 citations into it
Whom Christian Fuegen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Graves
- Jimmy Ba
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Jacob Kahn
Who trusts Christian Fuegen overall
Papers from Christian Fuegen's perspective
Ordered by how strongly the researchers Christian Fuegen 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
- Libri-Light: A Benchmark for ASR with Limited or No Supervision (2019) — 820 citations
- Transformer-Based Acoustic Modeling for Hybrid Speech Recognition (2019) — 266 citations
- Contrastive Semi-Supervised Learning for ASR (2021) — 21 citations
- Large scale weakly and semi-supervised learning for low-resource video ASR (2020) — 10 citations
- Interactive Text-to-Speech via Semi-supervised Style Transfer Learning (2020) — 11 citations