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Low-rank compression

Papers

Showing 125 of 34 papers

TitleStatusHype
LiteASR: Efficient Automatic Speech Recognition with Low-Rank ApproximationCode2
Compressing Neural Networks: Towards Determining the Optimal Layer-wise DecompositionCode1
TT-NF: Tensor Train Neural FieldsCode1
Unified Low-rank Compression Framework for Click-through Rate PredictionCode1
Decomposable-Net: Scalable Low-Rank Compression for Neural NetworksCode0
Domain-adaptive deep network compressionCode0
Compact Model Training by Low-Rank Projection with Energy TransferCode0
ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline CalibrationCode0
Maestro: Uncovering Low-Rank Structures via Trainable DecompositionCode0
CALoR: Towards Comprehensive Model Inversion DefenseCode0
Efficient Wireless Federated Learning via Low-Rank Gradient FactorizationCode0
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks0
Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization0
Adaptive Pruning of Pretrained Transformer via Differential Inclusions0
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks0
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy0
Low-Rank Compression for IMC Arrays0
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer0
MLorc: Momentum Low-rank Compression for Large Language Model Adaptation0
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions0
Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation0
Semi-tensor Product-based TensorDecomposition for Neural Network Compression0
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks0
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization0
A flexible, extensible software framework for model compression based on the LC algorithm0
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