Concepedia

Elias Frantar

EF

4

Publications

256

Citations

4

H-Index

2022

Active since

Elias Frantar is an author specializing in deep learning, computer science, and machine learning.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningParallel ComputingComputer EngineeringLanguageLinguisticsNeuroimaging

Publications per year

2022–2023

4

Publications

4

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Elias Frantar, Saleh Ashkboos, Torsten Hoefler et al. · arXiv (Cornell University) · 2022 · 126 citations · Full text

Propose Gptq, Engineering, Machine Learning +17

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Elias Frantar, Dan Alistarh · arXiv (Cornell University) · 2023 · 69 citations · Full text

Engineering, Machine Learning, Family Models +18

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

Elias Frantar · arXiv (Cornell University) · 2022 · 36 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +22

SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian et al. · arXiv (Cornell University) · 2023 · 25 citations · Full text

Outlier Weights, Machine Learning, Engineering +16

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