:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fifty, Christopher, Junkins, Ronald G., Duan, Dennis, Iyengar, Aniketh, Liu, Jerry W., Amid, Ehsan, Thrun, Sebastian, Ré, Christopher
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.06424
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Context-Aware Meta-Learning
by: Fifty, Christopher, et al.
Published: (2023)

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
by: Iyengar, Aniketh, et al.
Published: (2025)

Designing a Convolutional Neural Network for High-Accuracy Oral Cavity Squamous Cell Carcinoma (OCSCC) Detection
by: Manikanden, Vishal, et al.
Published: (2025)

TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
by: Salehi, Alireza, et al.
Published: (2026)

VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
by: Sun, Zijun, et al.
Published: (2025)

Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI
by: Li, Mingjie, et al.
Published: (2026)

Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting
by: Armagan, Anil, et al.
Published: (2025)

LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
by: Xie, Roy, et al.
Published: (2026)

Masked Vector Quantization
by: Nguyen, David D., et al.
Published: (2023)

Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
by: Liu, Jianfei, et al.
Published: (2024)

TR-DQ: Time-Rotation Diffusion Quantization
by: Shao, Yihua, et al.
Published: (2025)

Vector Field Attention for Deformable Image Registration
by: Liu, Yihao, et al.
Published: (2024)

Certifiably Optimal Anisotropic Rotation Averaging
by: Olsson, Carl, et al.
Published: (2025)

Making Rotation Averaging Fast and Robust with Anisotropic Coordinate Descent
by: Lochman, Yaroslava, et al.
Published: (2025)

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

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

Hierarchical Vector Quantization for Unsupervised Action Segmentation
by: Spurio, Federico, 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)

Balance of Number of Embedding and their Dimensions in Vector Quantization
by: Chen, Hang, et al.
Published: (2024)

Channel-wise Vector Quantization
by: Song, Wei, et al.
Published: (2026)

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
by: Zhang, Tongshun, et al.
Published: (2025)

By-Example Synthesis of Vector Textures
by: Palazzolo, Christopher, et al.
Published: (2025)

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

Lightweight Road Environment Segmentation using Vector Quantization
by: Kwag, Jiyong, et al.
Published: (2025)

SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
by: Li, Shuaiting, et al.
Published: (2025)

Vector-Quantized Soft Label Compression for Dataset Distillation
by: Abbasi, Ali, et al.
Published: (2026)

Bag of Tricks to Boost Adversarial Transferability
by: Zhang, Zeliang, et al.
Published: (2024)

Vector Quantization Prompting for Continual Learning
by: Jiao, Li, et al.
Published: (2024)

Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
by: Li, Andy, et al.
Published: (2024)

Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis
by: Diamantis, Dimitrios E., et al.
Published: (2025)

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

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

Vector-Quantized Vision Foundation Models for Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2025)

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
by: Navaneet, KL, et al.
Published: (2023)

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
by: Zhao, Zhe, et al.
Published: (2024)

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
by: Zhou, Chen, et al.
Published: (2024)

Concept-Centric Token Interpretation for Vector-Quantized Generative Models
by: Yang, Tianze, et al.
Published: (2025)

Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression
by: Kotthapalli, Manikanta, et al.
Published: (2025)

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
by: Jiang, Shiyin, et al.
Published: (2026)

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