[2025.09.25]: 🔥🔥🔥 We released a toolkit that tests the impact of numerical precision and enables deterministic LLM inference. This helps eliminate the training–inference mismatch in reinforcement ...
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Learn energy quantization fast | MI physics lecture chapter 8
Struggling to understand energy quantization? In this MI Physics Lecture Chapter 8, you’ll learn the concept of energy quantization quickly and clearly with step-by-step explanations designed for ...
This repository contains the official PyTorch implementation for the ECCV2024 paper "AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer". AdaLog adapts the ...
Abstract: Rate-distortion optimized quantization improves the coding performance of video compression. However, the search process involved in most existing methods is computationally expensive. In ...
Abstract: Variable-rate coding is challenging but indispensable for learned image compression (LIC) that is in nature characterized by nonlinear transform coding (NTC). Existing methods for ...
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