Jan A. Botha
Artificial Intelligence · 2014–2023
A researcher in the Science corpus: 7 papers; trusts 221 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 293 citations into it; #7,021 of 35,345 by trust here, #5,120 by citations
- Natural Language Processing — 231 citations into it; #1,504 of 5,688 by trust here, #2,497 by citations
- Evaluation & Benchmarks — 89 citations into it
- Computer Vision and Pattern Recognition — 87 citations into it; #14,768 of 21,575 by trust here, #12,172 by citations
- Large Language Models — 55 citations into it
- Safety, Robustness & Interpretability — 36 citations into it
- Representation & Self-Supervised Learning — 25 citations into it; #2,346 of 3,145 by trust here, #3,047 by citations
- Model Architectures — 18 citations into it
Whom Jan A. Botha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Holger Schwenk
- Andriy Mnih
- Tomas Mikolov
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Yann LeCun
Who trusts Jan A. Botha overall
- Clara Vania
- Ryan Cotterell
- Jan Buys
- Radu Soricut
- Tom Kenter
- Yoon Kim
- Miltiadis Allamanis
- Yoav Goldberg
- Phil Blunsom
- Amirsina Torfi
Papers from Jan A. Botha's perspective
Ordered by how strongly the researchers Jan A. Botha 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
- 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
- PaLM 2 Technical Report (2023) — 1,524 citations
- Compositional Morphology for Word Representations and Language Modelling (2014) — 267 citations
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation (2022) — 27 citations
- XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation (2021) — 234 citations
- Asking without Telling: Exploring Latent Ontologies in Contextual Representations (2020) — 46 citations
- Natural Language Processing with Small Feed-Forward Networks (2017) — 39 citations
- TaTa: A Multilingual Table-to-Text Dataset for African Languages (2022) — 14 citations