Co-occurring keywords · papers mentioning both
Papers
ACBQ: Adaptive Cross-Block Quantization of Large Language Models
ACL 2026
DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing
CVPR 2026
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
ACL 2026
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
AAAI 2026
UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers
AAAI 2026
Achieving binary weight and activation for LLMs using Post-Training Quantization
ACL 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
ICCV 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
CVPR 2025
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
ICLR 2025
KurTail : Kurtosis-based LLM Quantization
EMNLP 2025
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
ICML 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
AAAI 2025
On Exact Bit-level Reversible Transformers Without Changing Architecture
ICML 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
CVPR 2025
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
ICLR 2025
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
ICLR 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
AAAI 2025
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other
NAACL 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NeurIPS 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning
CVPR 2024
Evaluating Quantized Large Language Models
ICML 2024
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
EMNLP 2024
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
ACL 2024
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization
AAAI 2024