Dongsoo Lee

Efficiency & Compression · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Efficiency & Compression — 32 citations into it; #789 of 1,264 by trust here, #968 by citations

Whom Dongsoo Lee trusts overall

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

1. Song Han

Who trusts Dongsoo Lee overall

1. Jihong Park
2. Elias Frantar
3. Sumudu Samarakoon

Papers from Dongsoo Lee's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models (2022) — 77 citations
• Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio (2018) — 17 citations