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cs.CV2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin, Rishav Mukherji, Aditya Agrawal +4
Humans can effortlessly draw new categories from a single exemplar, a feat that has long posed a challenge for generative models. However, this gap has started to close with recent…
cs.LG2024
eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization
Aditya Agrawal, Matthew Hedlund, Blake Hechtman
eXmY is a novel data type for quantization of ML models. It supports both arbitrary bit widths and arbitrary integer and floating point formats. For example, it seamlessly supports…