Quantization without Tears
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Minghao, Yu, Hao, Shao, Jie, Zhou, Junjie, Zhu, Ke, Wu, Jianxin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
QwT-v2: Practical, Effective and Efficient Post-Training Quantization
by: Tang, Ningyuan, et al.
Published: (2025)
by: Tang, Ningyuan, et al.
Published: (2025)
Rectify the Regression Bias in Long-Tailed Object Detection
by: Zhu, Ke, et al.
Published: (2024)
by: Zhu, Ke, et al.
Published: (2024)
Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality
by: Shao, Jie, et al.
Published: (2025)
by: Shao, Jie, et al.
Published: (2025)
DTL: Disentangled Transfer Learning for Visual Recognition
by: Fu, Minghao, et al.
Published: (2023)
by: Fu, Minghao, et al.
Published: (2023)
Diffusion Product Quantization
by: Shao, Jie, et al.
Published: (2024)
by: Shao, Jie, et al.
Published: (2024)
All You Need in Knowledge Distillation Is a Tailored Coordinate System
by: Zhou, Junjie, et al.
Published: (2024)
by: Zhou, Junjie, et al.
Published: (2024)
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning
by: Tang, Ningyuan, et al.
Published: (2024)
by: Tang, Ningyuan, et al.
Published: (2024)
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
by: Shao, Jie, et al.
Published: (2024)
by: Shao, Jie, et al.
Published: (2024)
Minimal Interaction Separated Tuning: A New Paradigm for Visual Adaptation
by: Tang, Ningyuan, et al.
Published: (2024)
by: Tang, Ningyuan, et al.
Published: (2024)
Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization
by: Sun, Peilin, et al.
Published: (2026)
by: Sun, Peilin, et al.
Published: (2026)
TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies
by: Liang, Guang, et al.
Published: (2025)
by: Liang, Guang, et al.
Published: (2025)
Reviving Undersampling for Long-Tailed Learning
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay
by: Tong, Jin, et al.
Published: (2026)
by: Tong, Jin, et al.
Published: (2026)
Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
by: Jiang, Shiyin, et al.
Published: (2026)
by: Jiang, Shiyin, et al.
Published: (2026)
PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation Detection
by: Wu, Junjie, et al.
Published: (2025)
by: Wu, Junjie, et al.
Published: (2025)
Autoregressive Video Generation without Vector Quantization
by: Deng, Haoge, et al.
Published: (2024)
by: Deng, Haoge, et al.
Published: (2024)
Autoregressive Image Generation without Vector Quantization
by: Li, Tianhong, et al.
Published: (2024)
by: Li, Tianhong, et al.
Published: (2024)
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
by: Cao, Yun-Hao, et al.
Published: (2024)
by: Cao, Yun-Hao, et al.
Published: (2024)
Style Alignment based Dynamic Observation Method for UAV-View Geo-localization
by: Shao, Jie, et al.
Published: (2024)
by: Shao, Jie, et al.
Published: (2024)
Adaptive Dataset Quantization
by: Li, Muquan, et al.
Published: (2024)
by: Li, Muquan, et al.
Published: (2024)
LightQANet: Quantized and Adaptive Feature Learning for Low-Light Image Enhancement
by: Wu, Xu, et al.
Published: (2025)
by: Wu, Xu, et al.
Published: (2025)
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
by: Zhou, Zhenghong, et al.
Published: (2024)
by: Zhou, Zhenghong, et al.
Published: (2024)
OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
by: Hsu, Peng-Hao, et al.
Published: (2025)
by: Hsu, Peng-Hao, et al.
Published: (2025)
VideoARM: Agentic Reasoning over Hierarchical Memory for Long-Form Video Understanding
by: Yin, Yufei, et al.
Published: (2025)
by: Yin, Yufei, et al.
Published: (2025)
Towards Accurate Post-training Quantization for Diffusion Models
by: Wang, Changyuan, et al.
Published: (2023)
by: Wang, Changyuan, et al.
Published: (2023)
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
by: Jiang, Jiacheng, et al.
Published: (2025)
by: Jiang, Jiacheng, et al.
Published: (2025)
Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Dense Vision Transformer Compression with Few Samples
by: Zhang, Hanxiao, et al.
Published: (2024)
by: Zhang, Hanxiao, et al.
Published: (2024)
Quantized Spike-driven Transformer
by: Qiu, Xuerui, et al.
Published: (2025)
by: Qiu, Xuerui, et al.
Published: (2025)
Insight-A: Attribution-aware for Multimodal Misinformation Detection
by: Wu, Junjie, et al.
Published: (2025)
by: Wu, Junjie, et al.
Published: (2025)
Learning Quantized Adaptive Conditions for Diffusion Models
by: Liang, Yuchen, et al.
Published: (2024)
by: Liang, Yuchen, et al.
Published: (2024)
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
by: Tai, Yu-Shan, et al.
Published: (2024)
by: Tai, Yu-Shan, et al.
Published: (2024)
Video Depth without Video Models
by: Ke, Bingxin, et al.
Published: (2024)
by: Ke, Bingxin, et al.
Published: (2024)
Detect an Object At Once without Fine-tuning
by: Hao, Junyu, et al.
Published: (2024)
by: Hao, Junyu, 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)
Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
by: Zhou, Ke, et al.
Published: (2024)
by: Zhou, Ke, et al.
Published: (2024)
Q-VLM: Post-training Quantization for Large Vision-Language Models
by: Wang, Changyuan, et al.
Published: (2024)
by: Wang, Changyuan, et al.
Published: (2024)
GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers
by: Liang, Guang, et al.
Published: (2025)
by: Liang, Guang, et al.
Published: (2025)
Similar Items
-
QwT-v2: Practical, Effective and Efficient Post-Training Quantization
by: Tang, Ningyuan, et al.
Published: (2025) -
Rectify the Regression Bias in Long-Tailed Object Detection
by: Zhu, Ke, et al.
Published: (2024) -
Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality
by: Shao, Jie, et al.
Published: (2025) -
DTL: Disentangled Transfer Learning for Visual Recognition
by: Fu, Minghao, et al.
Published: (2023) -
Diffusion Product Quantization
by: Shao, Jie, et al.
Published: (2024)