Nikolas A. Tezak
Artificial Intelligence · 2017–2024
A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 236 citations into it
- Natural Language Processing — 101 citations into it
- Computer Vision and Pattern Recognition — 95 citations into it
- Large Language Models — 54 citations into it
Whom Nikolas A. Tezak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alec Radford
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ashish Vaswani
- Alex Graves
Papers from Nikolas A. Tezak's perspective
Ordered by how strongly the researchers Nikolas A. Tezak trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Evaluating Large Language Models Trained on Code (2021) — 10,663 citations
- Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations
- Efficient Training of Language Models to Fill in the Middle (2022) — 317 citations
- Text and Code Embeddings by Contrastive Pre-Training (2022) — 613 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Unsupervised Machine Learning on a Hybrid Quantum Computer (2017) — 305 citations
- Parametrically Activated Entangling Gates Using Transmon Qubits (2017) — 166 citations