Abstract: In this article, two approximate Radix-4 Booth encoders Approximate Radix-4 Booth Encoder1, 2 (AR4BE1 and AR4BE2) are. proposed to achieve great accuracy-cost tradeoff, and a series of ...
03/10: Added support for latest transformer versions, which support Llama 3.1, 3.2 and other latest models. Expanded support to evaluate any LLM2vec model, check mteb_eval_custom.py 04/07: Added ...
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Abstract: We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders - a convolutional neural ...
We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are ...
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