Saved in:
| Main Author: | Zhao, Kaiqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.00097 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-Augmented Quantization-Aware Knowledge Distillation
by: Kur, Justin, et al.
Published: (2025)
by: Kur, Justin, et al.
Published: (2025)
Self-Supervised Quantization-Aware Knowledge Distillation
by: Zhao, Kaiqi, et al.
Published: (2024)
by: Zhao, Kaiqi, et al.
Published: (2024)
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
by: Gordon, Ofir, et al.
Published: (2023)
by: Gordon, Ofir, et al.
Published: (2023)
Saliency Assisted Quantization for Neural Networks
by: Rezabeyk, Elmira Mousa, et al.
Published: (2024)
by: Rezabeyk, Elmira Mousa, et al.
Published: (2024)
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
by: Kim, Jinhee, et al.
Published: (2025)
by: Kim, Jinhee, et al.
Published: (2025)
Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
by: Song, Jian, et al.
Published: (2025)
by: Song, Jian, et al.
Published: (2025)
Q-SENN: Quantized Self-Explaining Neural Networks
by: Norrenbrock, Thomas, et al.
Published: (2023)
by: Norrenbrock, Thomas, et al.
Published: (2023)
Progressive Compression with Universally Quantized Diffusion Models
by: Yang, Yibo, et al.
Published: (2024)
by: Yang, Yibo, et al.
Published: (2024)
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
by: Maleki, Alireza, et al.
Published: (2024)
by: Maleki, Alireza, et al.
Published: (2024)
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
by: Hu, Wenhao, et al.
Published: (2024)
by: Hu, Wenhao, et al.
Published: (2024)
Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)
by: Hoang, Dung Anh, et al.
Published: (2026)
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
by: Silver, Daniel, et al.
Published: (2025)
by: Silver, Daniel, et al.
Published: (2025)
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
by: Shang, Sifeng, et al.
Published: (2025)
by: Shang, Sifeng, et al.
Published: (2025)
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
by: Kou, Siqi, et al.
Published: (2023)
by: Kou, Siqi, et al.
Published: (2023)
Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression
by: Chapman, Avraham, et al.
Published: (2022)
by: Chapman, Avraham, et al.
Published: (2022)
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
by: Gafni, Tomer, et al.
Published: (2025)
by: Gafni, Tomer, et al.
Published: (2025)
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
by: Bablani, Deepika, et al.
Published: (2023)
by: Bablani, Deepika, et al.
Published: (2023)
Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
by: Tang, Siao, et al.
Published: (2023)
by: Tang, Siao, et al.
Published: (2023)
MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization
by: Wang, Zhong, et al.
Published: (2026)
by: Wang, Zhong, et al.
Published: (2026)
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
by: Dang, Long, et al.
Published: (2025)
by: Dang, Long, et al.
Published: (2025)
HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification
by: Ahmed, Faisal
Published: (2025)
by: Ahmed, Faisal
Published: (2025)
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
by: Zhi, Hongxin, et al.
Published: (2025)
by: Zhi, Hongxin, et al.
Published: (2025)
Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network
by: Liu, Yu-Tung, et al.
Published: (2025)
by: Liu, Yu-Tung, et al.
Published: (2025)
A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
by: Peleska, Jan, et al.
Published: (2023)
by: Peleska, Jan, et al.
Published: (2023)
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)
by: Paul, Richard D., et al.
Published: (2024)
Hyperbolic Binary Neural Network
by: Chen, Jun, et al.
Published: (2025)
by: Chen, Jun, et al.
Published: (2025)
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
by: Qu, Xiaoyi, et al.
Published: (2025)
by: Qu, Xiaoyi, et al.
Published: (2025)
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
by: Tokunaga, Hiroyuki, et al.
Published: (2024)
by: Tokunaga, Hiroyuki, et al.
Published: (2024)
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
by: Risso, Matteo, et al.
Published: (2024)
by: Risso, Matteo, et al.
Published: (2024)
Learning to Transform for Generalizable Instance-wise Invariance
by: Singhal, Utkarsh, et al.
Published: (2023)
by: Singhal, Utkarsh, et al.
Published: (2023)
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
An Empirical Study of World Model Quantization
by: Fu, Zhongqian, et al.
Published: (2026)
by: Fu, Zhongqian, et al.
Published: (2026)
Securing Traffic Sign Recognition Systems in Autonomous Vehicles
by: Hapuarachchi, Thushari, et al.
Published: (2025)
by: Hapuarachchi, Thushari, et al.
Published: (2025)
RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images
by: Jiang, Xiaozheng, et al.
Published: (2025)
by: Jiang, Xiaozheng, et al.
Published: (2025)
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023)
by: Hu, Hanjiang, et al.
Published: (2023)
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
by: Nikzad, Nick, et al.
Published: (2024)
by: Nikzad, Nick, et al.
Published: (2024)
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
by: Chen, Chao, et al.
Published: (2023)
by: Chen, Chao, et al.
Published: (2023)
Instance-wise Supervision-level Optimization in Active Learning
by: Matsuo, Shinnosuke, et al.
Published: (2025)
by: Matsuo, Shinnosuke, et al.
Published: (2025)
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)
by: Shi, Kexuan, et al.
Published: (2024)
Similar Items
-
Data-Augmented Quantization-Aware Knowledge Distillation
by: Kur, Justin, et al.
Published: (2025) -
Self-Supervised Quantization-Aware Knowledge Distillation
by: Zhao, Kaiqi, et al.
Published: (2024) -
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
by: Gordon, Ofir, et al.
Published: (2023) -
Saliency Assisted Quantization for Neural Networks
by: Rezabeyk, Elmira Mousa, et al.
Published: (2024) -
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
by: Kim, Jinhee, et al.
Published: (2025)