quantization

Optimizing Large Language Model Training Using FP4 Quantization ICML 2025 Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models ICML 2025 Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves ICML 2025 Progressive Mixed-Precision Decoding for Efficient LLM Inference ICLR 2025 Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models ICML 2025 Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers ICML 2025 Radio: Rate–Distortion Optimization for Large Language Model Compression ICML 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization ICML 2025 SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression ICML 2025 Understanding the Unfairness in Network Quantization ICML 2025 Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ICML 2025 Accelerating Federated Learning with Quick Distributed Mean Estimation ICML 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention ICML 2024 Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs ICML 2024 BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs ICML 2024 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 Data Poisoning Quantization Backdoor Attack ECCV 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024 Extreme Compression of Large Language Models via Additive Quantization ICML 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AutoML 2024