:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Lu, Hao, Koyun, Onur C., Guo, Yongxin, Zhu, Zhengjie, Alili, Abbas, Gurcan, Metin Nafi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2602.18904
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
by: Lu, Hao, et al.
Published: (2026)

Momentum Memory for Knowledge Distillation in Computational Pathology
by: Guo, Yongxin, et al.
Published: (2026)

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training
by: Afzaal, Usman, et al.
Published: (2025)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization
by: Jia, Mingkai, et al.
Published: (2025)

Quantization without Tears
by: Fu, Minghao, et al.
Published: (2024)

Quantize-then-Rectify: Efficient VQ-VAE Training
by: Zhang, Borui, et al.
Published: (2025)

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
by: Chang, Yifan, et al.
Published: (2025)

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
by: Zhu, Yongxin, et al.
Published: (2024)

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
by: Gu, Hao, et al.
Published: (2025)

Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
by: Zhang, Baoquan, et al.
Published: (2024)

Switchable Token-Specific Codebook Quantization For Face Image Compression
by: Wang, Yongbo, et al.
Published: (2025)

Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models
by: Zheng, Hong-Kai, et al.
Published: (2025)

LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
by: Li, Jie, et al.
Published: (2026)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification
by: Lin, Yi, et al.
Published: (2024)

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
by: Zhu, Lei, et al.
Published: (2024)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
by: Chen, Haowei, et al.
Published: (2025)

Autoregressive Video Generation without Vector Quantization
by: Deng, Haoge, et al.
Published: (2024)

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
by: Wu, Qiuxia, et al.
Published: (2025)

Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
by: Malidarreh, Parisa Boodaghi, et al.
Published: (2025)

VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
by: Thomas, Aaron Mark, et al.
Published: (2024)

Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026)

DicFace: Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration
by: Chen, Yan, et al.
Published: (2025)

MTC-VAE: Multi-Level Temporal Compression with Content Awareness
by: Dong, Yubo, et al.
Published: (2026)

Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
by: Badar, Zia
Published: (2025)

A PCA Based Model for Surface Reconstruction from Incomplete Point Clouds
by: Liu, Hao
Published: (2025)

Asymmetric VAE for One-Step Video Super-Resolution Acceleration
by: Li, Jianze, et al.
Published: (2025)

Regularizing Subspace Redundancy of Low-Rank Adaptation
by: Zhu, Yue, et al.
Published: (2025)

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
by: Zheng, Bowen, et al.
Published: (2026)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)

Autoregressive Image Generation without Vector Quantization
by: Li, Tianhong, et al.
Published: (2024)

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
by: Seo, Jiwan, et al.
Published: (2024)

RDP: Ranked Differential Privacy for Facial Feature Protection in Multiscale Sparsified Subspace
by: Ou, Lu, et al.
Published: (2024)

Selective Vision-Language Subspace Projection for Few-shot CLIP
by: Zhu, Xingyu, et al.
Published: (2024)

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction
by: Khan, Hikmat, et al.
Published: (2026)

Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text
by: Liang, Guotao, et al.
Published: (2025)

OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better
by: Zhou, Yupeng, et al.
Published: (2025)

Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion
by: Liu, Huaize, et al.
Published: (2025)

The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields
by: Luo, Ziyuan, et al.
Published: (2025)