Lirui Zhao
Efficiency & Compression · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Efficiency & Compression — 13 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom Lirui Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lirui Zhao's perspective
Ordered by how strongly the researchers Lirui Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Pointer Sentinel Mixture Models
Their papers
- OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models (2023) — 460 citations