Cover Image

HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Seonggon, Park, Eunhyeok
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PTQ4VM: Post-Training Quantization for Visual Mamba
by: Cho, Younghyun, et al.
Published: (2024)

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
by: Shin, Juncheol, et al.
Published: (2025)

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
by: Zhang, Aozhong, et al.
Published: (2024)

HOT: Hadamard-based Optimized Training
by: Kim, Seonggon, et al.
Published: (2025)

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
by: Zhang, Youjia, et al.
Published: (2025)

AdaHOP: Fast and Accurate Low-Precision Training via Outlier-Pattern-Aware Rotation
by: Kim, Seonggon, et al.
Published: (2026)

Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
by: Wang, Xiulin, et al.
Published: (2023)

Activation Quantization of Vision Encoders Needs Prefixing Registers
by: Kim, Seunghyeon, et al.
Published: (2025)

Parallel Backpropagation for Shared-Feature Visualization
by: Lappe, Alexander, et al.
Published: (2024)

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
by: Guo, Zirun, et al.
Published: (2024)

Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
by: Park, Junghwan, et al.
Published: (2025)

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control
by: Park, Seongmin, 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)

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
by: Choi, Seokeon, et al.
Published: (2025)

Efficient Learning With Sine-Activated Low-rank Matrices
by: Ji, Yiping, et al.
Published: (2024)

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
by: Yuan, Shen, et al.
Published: (2024)

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
by: Wang, Haiyu, et al.
Published: (2026)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
by: Choi, Kanghyun, et al.
Published: (2024)

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

MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression
by: Gordon, Ofir, et al.
Published: (2025)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
by: Dou, Hongkun, et al.
Published: (2025)

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
by: So, Junhyuk, et al.
Published: (2025)

PQD: Post-training Quantization for Efficient Diffusion Models
by: Ye, Jiaojiao, et al.
Published: (2024)

Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
by: Varam, Dara, et al.
Published: (2025)

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
by: Ryu, Hyogon, et al.
Published: (2025)

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)

Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks
by: Hamdan, Emadeldeen, et al.
Published: (2026)

Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization
by: Wang, YiFeng, et al.
Published: (2026)

Teamwork: Collaborative Diffusion with Low-rank Coordination and Adaptation
by: Sartor, Sam, et al.
Published: (2025)

Instance-Aware Group Quantization for Vision Transformers
by: Moon, Jaehyeon, et al.
Published: (2024)

One-step Multi-view Clustering With Adaptive Low-rank Anchor-graph Learning
by: Xue, Zhiyuan, et al.
Published: (2025)

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation
by: Rivkin, Dmitriy, et al.
Published: (2026)

DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
by: Hu, Wenhao, et al.
Published: (2024)

Training-Free Vector Quantization via Gaussian VAEs
by: Xu, Tongda, et al.
Published: (2025)

MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization
by: Kim, Han-Byul, et al.
Published: (2023)

Fast-Slow Efficient Training for Multimodal Large Language Models via Visual Token Pruning
by: Zhang, Dingkun, et al.
Published: (2026)

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization
by: Kim, Seung-Wook, et al.
Published: (2025)

Exploiting Low-level Representations for Ultra-Fast Road Segmentation
by: Zhou, Huan, et al.
Published: (2024)

Diffusion Model Compression for Image-to-Image Translation
by: Kim, Geonung, et al.
Published: (2024)

ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
by: Du, Sinan, et al.
Published: (2024)