conftrace_

mixed-precision quantization

40 papers

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Also known as

MPQ

Co-occurring keywords

model compression (3302) large language model (13587) neural network optimization (1293) model quantization (281) post-training quantization (131) neural network (6616) neural network quantization (122) weight quantization (137) neural architecture search (666) efficient computing (781)

Papers

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AAAI 2026
Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation ACL 2026
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026
InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning ACL 2026
KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache AAAI 2026
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression AAAI 2026
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025
AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization WACV 2025
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization EMNLP 2025
MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025
MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts ACL 2025
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models NIPS 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 2024
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning CVPR 2024