James Hensman

Artificial Intelligence · with Ashkboos · 2024

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Efficiency & Compression — 28 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Large Language Models — 15 citations into it

Whom James Hensman trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Jimmy Ba

Papers from James Hensman's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Layer Normalization
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SliceGPT: Compress Large Language Models by Deleting Rows and Columns (2024) — 412 citations
• QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs (2024) — 576 citations