Copertina

VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhai, Linwei, Ding, Han, Lin, Mingzhi, Zhao, Cui, Wang, Fei, Wang, Ge, Zhi, Wang, Xi, Wei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
di: Zhang, Xi, et al.
Pubblicazione: (2025)

Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
di: Luu, Tung M., et al.
Pubblicazione: (2024)

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
di: Zhai, Zian, et al.
Pubblicazione: (2025)

L3AC: Towards a Lightweight and Lossless Audio Codec
di: Zhai, Linwei, et al.
Pubblicazione: (2025)

Representation Collapsing Problems in Vector Quantization
di: Zhao, Wenhao, et al.
Pubblicazione: (2024)

FoldToken: Learning Protein Language via Vector Quantization and Beyond
di: Gao, Zhangyang, et al.
Pubblicazione: (2024)

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
di: Kim, Jaeyung, et al.
Pubblicazione: (2026)

STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
di: Zhao, Yilei, et al.
Pubblicazione: (2024)

4bit-Quantization in Vector-Embedding for RAG
di: Jeong, Taehee
Pubblicazione: (2025)

Divide et Calibra: Multiclass Local Calibration via Vector Quantization
di: Barbera, Cesare, et al.
Pubblicazione: (2026)

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
di: Liang, Ren-Wei, et al.
Pubblicazione: (2025)

MEUV: Achieving Fine-Grained Capability Activation in Large Language Models via Mutually Exclusive Unlock Vectors
di: Tong, Xin, et al.
Pubblicazione: (2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
di: Wang, Weiyan, et al.
Pubblicazione: (2025)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
di: Xu, Chen, et al.
Pubblicazione: (2025)

RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression
di: Zhong, Zhengjia, et al.
Pubblicazione: (2026)

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling
di: Yue, Yuxuan, et al.
Pubblicazione: (2025)

Vector Quantization in the Brain: Grid-like Codes in World Models
di: Peng, Xiangyuan, et al.
Pubblicazione: (2025)

Channel-wise Vector Quantization
di: Song, Wei, et al.
Pubblicazione: (2026)

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
di: Chen, Zixuan, et al.
Pubblicazione: (2026)

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment
di: Zhang, Haonan, et al.
Pubblicazione: (2026)

VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
di: Hegde, Suhas G, et al.
Pubblicazione: (2025)

Provable In-Context Vector Arithmetic via Retrieving Task Concepts
di: Bu, Dake, et al.
Pubblicazione: (2025)

VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation
di: Noravesh, Farshad, et al.
Pubblicazione: (2026)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
di: Zhao, Yanjun, et al.
Pubblicazione: (2024)

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
di: Huang, Wei, et al.
Pubblicazione: (2025)

VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
di: Wu, Jiawei, et al.
Pubblicazione: (2024)

SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting
di: Stavrou, Nikolas, et al.
Pubblicazione: (2026)

Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
di: Wang, Jinping, et al.
Pubblicazione: (2025)

KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
di: Xu, Zukang, et al.
Pubblicazione: (2026)

All You Need is One: Capsule Prompt Tuning with a Single Vector
di: Liu, Yiyang, et al.
Pubblicazione: (2025)

GBSVM: Granular-ball Support Vector Machine
di: Xia, Shuyin, et al.
Pubblicazione: (2022)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
di: Yue, Zhenrui, et al.
Pubblicazione: (2024)

Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization
di: Morita, Takashi
Pubblicazione: (2025)

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
di: Sun, Wenju, et al.
Pubblicazione: (2025)

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation
di: Gong, Zhuocheng, et al.
Pubblicazione: (2024)

A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
di: Wasswa, Hassan, et al.
Pubblicazione: (2025)

Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
di: Zhang, Jianqi, et al.
Pubblicazione: (2026)

VRAIL: Vectorized Reward-based Attribution for Interpretable Learning
di: Kim, Jina, et al.
Pubblicazione: (2025)

FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression
di: Lee, Namyoon, et al.
Pubblicazione: (2026)

PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
di: Park, Bumsu, et al.
Pubblicazione: (2026)