85 citations · 193 across the 8 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 15 cited
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Lili Yu, Dániel Simig, Colin Flaherty +3
Autoregressive transformers are spectacular models for short sequences but scale poorly to long sequences such as high-resolution images, podcasts, code, or books. We proposed Mega…
cs.LG2023★ 14 cited
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas, Kushal Tirumala, Dániel Simig +2
Progress in machine learning has been driven in large part by massive increases in data. However, large web-scale datasets such as LAION are largely uncurated beyond searches for e…