3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler, Emma Strubell, Dirk Hovy +1
Fairness and environmental impact are important research directions for the sustainable development of artificial intelligence. However, while each topic is an active research area…
cs.LG2022★ 3 cited
SQuAT: Sharpness- and Quantization-Aware Training for BERT
Zheng Wang, Juncheng B Li, Shuhui Qu +2
Quantization is an effective technique to reduce memory footprint, inference latency, and power consumption of deep learning models. However, existing quantization methods suffer f…
cs.CL2014
Training for Fast Sequential Prediction Using Dynamic Feature Selection
Emma Strubell, Luke Vilnis, Andrew McCallum
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the heart…