[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 ...
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 ...