Jerry Chee

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Efficiency & Compression — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Jerry Chee trusts overall

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

1. Elias Frantar
2. Zhen Dong
3. Markus Nagel
4. K. Erk
5. Sandeep Tata
6. Geoffrey E. Hinton
7. Tri Dao
8. Alex Krizhevsky
9. Yoshua Bengio
10. Kaiming He

Who trusts Jerry Chee overall

1. Albert Tseng
2. Shuming Ma

Papers from Jerry Chee's perspective

Ordered by how strongly the researchers Jerry Chee 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks (2024) — 366 citations
• QuIP: 2-Bit Quantization of Large Language Models With Guarantees (2023) — 433 citations