Sensitivity-Aware Post-Training Quantization for Deep Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Zekang, Li, Haokun, Chen, Yaofo, Tan, Mingkui, Du, Qing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
by: Chen, Yaofo, et al.
Published: (2024)
by: Chen, Yaofo, et al.
Published: (2024)
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
by: Chen, Yaofo, et al.
Published: (2022)
by: Chen, Yaofo, et al.
Published: (2022)
Towards Long Video Understanding via Fine-detailed Video Story Generation
by: You, Zeng, et al.
Published: (2024)
by: You, Zeng, et al.
Published: (2024)
Test-Time Model Adaptation for Quantized Neural Networks
by: Deng, Zeshuai, et al.
Published: (2025)
by: Deng, Zeshuai, et al.
Published: (2025)
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers
by: Yang, Lianwei, et al.
Published: (2024)
by: Yang, Lianwei, et al.
Published: (2024)
AQD: Towards Accurate Fully-Quantized Object Detection
by: Chen, Peng, et al.
Published: (2020)
by: Chen, Peng, et al.
Published: (2020)
MAGIC: Map-Guided Few-Shot Audio-Visual Acoustics Modeling
by: Huang, Diwei, et al.
Published: (2024)
by: Huang, Diwei, et al.
Published: (2024)
Tail-Aware Post-Training Quantization for 3D Geometry Models
by: Pan, Sicheng, et al.
Published: (2026)
by: Pan, Sicheng, et al.
Published: (2026)
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
by: Cao, Fanpu, et al.
Published: (2025)
by: Cao, Fanpu, et al.
Published: (2025)
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Image and Video Generation
by: Yang, Lianwei, et al.
Published: (2025)
by: Yang, Lianwei, et al.
Published: (2025)
Outlier-Aware Post-Training Quantization for Image Super-Resolution
by: Wang, Hailing, et al.
Published: (2025)
by: Wang, Hailing, et al.
Published: (2025)
QMamba: Post-Training Quantization for Vision State Space Models
by: Li, Yinglong, et al.
Published: (2025)
by: Li, Yinglong, et al.
Published: (2025)
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
by: Wu, Zhuguanyu, et al.
Published: (2024)
by: Wu, Zhuguanyu, et al.
Published: (2024)
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
by: Chai, Bowen, et al.
Published: (2025)
by: Chai, Bowen, et al.
Published: (2025)
Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026)
by: Xiang, Ziwei, et al.
Published: (2026)
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
by: Li, Changhao, et al.
Published: (2025)
by: Li, Changhao, et al.
Published: (2025)
Enhancing Post-Training Quantization via Future Activation Awareness
by: Lv, Zheqi, et al.
Published: (2026)
by: Lv, Zheqi, et al.
Published: (2026)
Post-Training Quantization for Video Matting
by: Zhu, Tianrui, et al.
Published: (2025)
by: Zhu, Tianrui, et al.
Published: (2025)
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis
by: Chen, Zhuokun, et al.
Published: (2025)
by: Chen, Zhuokun, et al.
Published: (2025)
Weight Group-wise Post-Training Quantization for Medical Foundation Model
by: Chen, Yineng, et al.
Published: (2026)
by: Chen, Yineng, et al.
Published: (2026)
Dynamic Spatial-Temporal Aggregation for Skeleton-Aware Sign Language Recognition
by: Hu, Lianyu, et al.
Published: (2024)
by: Hu, Lianyu, et al.
Published: (2024)
MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction
by: Yang, Lianwei, et al.
Published: (2024)
by: Yang, Lianwei, et al.
Published: (2024)
Scheduling Weight Transitions for Quantization-Aware Training
by: Lee, Junghyup, et al.
Published: (2024)
by: Lee, Junghyup, et al.
Published: (2024)
HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image
by: Wang, Hongjun, et al.
Published: (2025)
by: Wang, Hongjun, et al.
Published: (2025)
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
by: Fan, Yunqian, et al.
Published: (2024)
by: Fan, Yunqian, et al.
Published: (2024)
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
by: Jiang, Runqing, et al.
Published: (2025)
by: Jiang, Runqing, et al.
Published: (2025)
Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization
by: Sun, Peilin, et al.
Published: (2026)
by: Sun, Peilin, et al.
Published: (2026)
QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer
by: Pan, Zhizhen, et al.
Published: (2026)
by: Pan, Zhizhen, et al.
Published: (2026)
Inlier-Centric Post-Training Quantization for Object Detection Models
by: Kim, Minsu, et al.
Published: (2026)
by: Kim, Minsu, et al.
Published: (2026)
HUD: Hierarchical Uncertainty-Aware Disambiguation Network for Composed Video Retrieval
by: Chen, Zhiwei, et al.
Published: (2025)
by: Chen, Zhiwei, et al.
Published: (2025)
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
by: Jiang, Yanfeng, et al.
Published: (2024)
by: Jiang, Yanfeng, et al.
Published: (2024)
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
by: Deng, Juncan, et al.
Published: (2025)
by: Deng, Juncan, et al.
Published: (2025)
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal
by: Feng, Mingkui, et al.
Published: (2024)
by: Feng, Mingkui, et al.
Published: (2024)
Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data Generation
by: Li, Shile, et al.
Published: (2026)
by: Li, Shile, et al.
Published: (2026)
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion
by: Chen, Zhuokun, et al.
Published: (2024)
by: Chen, Zhuokun, et al.
Published: (2024)
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
by: Zou, Jinping, et al.
Published: (2024)
by: Zou, Jinping, et al.
Published: (2024)
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
by: Chang, Yifan, et al.
Published: (2025)
by: Chang, Yifan, et al.
Published: (2025)
FraQAT: Quantization Aware Training with Fractional bits
by: Morreale, Luca, et al.
Published: (2025)
by: Morreale, Luca, et al.
Published: (2025)
CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
by: Wen, Houji, et al.
Published: (2026)
by: Wen, Houji, et al.
Published: (2026)
QwT-v2: Practical, Effective and Efficient Post-Training Quantization
by: Tang, Ningyuan, et al.
Published: (2025)
by: Tang, Ningyuan, et al.
Published: (2025)
Similar Items
-
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
by: Chen, Yaofo, et al.
Published: (2024) -
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
by: Chen, Yaofo, et al.
Published: (2022) -
Towards Long Video Understanding via Fine-detailed Video Story Generation
by: You, Zeng, et al.
Published: (2024) -
Test-Time Model Adaptation for Quantized Neural Networks
by: Deng, Zeshuai, et al.
Published: (2025) -
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers
by: Yang, Lianwei, et al.
Published: (2024)