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I'd have to disagree. Meta was always great at releasing papers but they never scaled stuff up until like a year or so, such that things start to work in the re
by sashank_1509 4y ago
I'd have to disagree. Meta was always great at releasing papers but they never scaled stuff up until like a year or so, such that things start to work in the real world outside of datasets. Glad to see, we're done with the 2% improvement in dataset papers in CVPR, I would now like to see real world performance results.
- polygamous_bat 4y ago"Scaling things up" in and of itself is a very recent phenomenon. I would claim, in that sense that nothing before GPT-3 counts. However, for not-so-scaled models, Meta or rather FAIR, had good contributions with available code that were interoperable with other research in the field. Compare that with, say, Google research/brain/deepmind, which always put out lofty papers that never allowed reproducibility.
- impulser_ 4y agoThey gave us PyTorch. That's more than enough to appreciate their contribution.