Co-occurring keywords · papers mentioning both
Papers
ACBQ: Adaptive Cross-Block Quantization of Large Language Models
ACL 2026
Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization
CVPR 2026
Sampling-Aware Quantization for Diffusion Models
CVPR 2026
SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration
AAAI 2026
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ICLR 2025
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025
Compute-Optimal LLMs Provably Generalize Better with Scale
ICLR 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
ICLR 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
AAAI 2025
LSPnet: an ultra-low bitrate hybrid neural codec
Interspeech 2025
QERA: an Analytical Framework for Quantization Error Reconstruction
ICLR 2025
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
ICML 2025
Task Vector Quantization for Memory-Efficient Model Merging
ICCV 2025
Why Do Some Inputs Break Low-Bit LLM Quantization?
EMNLP 2025
A2Q+: Improving Accumulator-Aware Weight Quantization
ICML 2024
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
AAAI 2024
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
ACL 2024
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
AAAI 2024
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
ICML 2024
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
NeurIPS 2024
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
ICML 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching
CVPR 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks
CVPR 2022