James Betker

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Reinforcement Learning — 32 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Multimodal Learning — 5 citations into it

Whom James Betker trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Evelina Bakhturina
2. Alec Radford
3. Heiga Zen
4. Vitaly Lavrukhin
5. Alex Nichol
6. Jonathan Ho
7. Aditya Ramesh
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Viet Dang

Who trusts James Betker overall

1. Edresson Casanova
2. Mateusz Lajszczak
3. Eren Gölge

Papers from James Betker's perspective

Ordered by how strongly the researchers James Betker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Interactive Language: Talking to Robots in Real Time (2022) — 343 citations
• GPT-4o System Card (2024) — 4,622 citations
• Better speech synthesis through scaling (2023) — 128 citations