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low-rank compression

9 papers

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Co-occurring keywords · papers mentioning both

model compression (5) neural network (3) rank selection (3) architecture search (2) memory overhead (1) mixed discrete-continuous optimization (1) layer rank selection (1) activation reconstruction (1) layer-wise rank (1) gradient-based importance (1)

Papers

IMPACT: Importance-Aware Activation Space Reconstruction ACL 2026 SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping AAAI 2026 Approximation to Smooth Functions by Low-Rank Swish Networks ICML 2025 FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference EMNLP 2025 Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024 Error Feedback Can Accurately Compress Preconditioners ICML 2024 HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020