Chris C. Emezue
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 289 citations into it
- Natural Language Processing — 229 citations into it
- Evaluation & Benchmarks — 128 citations into it
- Computer Vision and Pattern Recognition — 77 citations into it
- Probabilistic & Bayesian Methods — 32 citations into it
- Model Architectures — 18 citations into it
- Safety Research — 17 citations into it
- Sociology and Political Science — 8 citations into it
Whom Chris C. Emezue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Sepp Hochreiter
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Oriol Vinyals
- J. Urgen Schmidhuber
- Emily M. Bender
- Kyunghyun Cho
- Diederik P. Kingma
Papers from Chris C. Emezue's perspective
Ordered by how strongly the researchers Chris C. Emezue trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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
Their papers
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- FFR v1.1: Fon-French Neural Machine Translation (2020) — 28 citations
- Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages (2020) — 322 citations
- Bayesian Structure Learning with Generative Flow Networks (2022) — 202 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources (2022) — 14 citations