Victor Veitch

Artificial Intelligence · with Choe · 2023

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Natural Language Processing — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Large Language Models — 6 citations into it

Whom Victor Veitch trusts overall

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

1. Anna Rogers
2. Alec Radford
3. Tomas Mikolov
4. Aleksandr Drozd
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ashish Vaswani

Papers from Victor Veitch's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. GloVe: Global Vectors for Word Representation
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• The Linear Representation Hypothesis and the Geometry of Large Language Models (2023) — 626 citations