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conftrace_

quantization error

37 papers

QE

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