20 citations · 26 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Revisiting Error Feedback for Model Quantization
Wai-Yiu Keung, Chi Cui, Wing-Kin Ma +2
We study causal error-feedback coefficients as design variables for model quantization. Modeling instantaneous quantization errors as independent, zero-mean variables with a common…
cs.LG2022★ 1 cited
The Weak Supervision Landscape
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesus Cid-Sueiro +3
Many ways of annotating a dataset for machine learning classification tasks that go beyond the usual class labels exist in practice. These are of interest as they can simplify or f…