Sam Shleifer
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Transformers: State-of-the-Art Natural Language Processing(2020)7,775 cited
- → Automated coronary calcium scoring using deep learning with multicenter external validation(2021)164 cited
- → PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel(2023)143 cited
- → Few-shot Learning with Multilingual Generative Language Models(2022)106 cited
- → Few-shot Learning with Multilingual Language Models(2021)76 cited
- → Efficient Large Scale Language Modeling with Mixtures of Experts(2022)70 cited
- → Pre-trained Summarization Distillation(2020)57 cited
- → Low Resource Text Classification with ULMFit and Backtranslation(2019)43 cited
- → NormFormer: Improved Transformer Pretraining with Extra Normalization(2021)28 cited
- → Incrementally Improving Graph WaveNet Performance on Traffic Prediction(2019)17 cited