Skip to content
conftrace_

mixed precision

41 papers

Papers

QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026 TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies CVPR 2026 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference ICML 2025 MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design ICML 2025 Optimizing Large Language Model Training Using FP4 Quantization ICML 2025 PaCA: Partial Connection Adaptation for Efficient Fine-Tuning ICLR 2025 Progressive Mixed-Precision Decoding for Efficient LLM Inference ICLR 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation 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 Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models NeurIPS 2024 Collage: Light-Weight Low-Precision Strategy for LLM Training ICML 2024 Edge Inference With Fully Differentiable Quantized Mixed Precision Neural Networks WACV 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AutoML 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC ICML 2024 USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024 $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks ICLR 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023 Low-precision arithmetic for fast Gaussian processes UAI 2022