| Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer | Jun 1, 2020 | Low-rank compression | CodeCode Available | 0 |
| Efficient Wireless Federated Learning via Low-Rank Gradient Factorization | Jan 15, 2024 | Federated LearningLow-rank compression | CodeCode Available | 0 |
| Maestro: Uncovering Low-Rank Structures via Trainable Decomposition | Aug 28, 2023 | Low-rank compressionQuantization | CodeCode Available | 0 |
| CALoR: Towards Comprehensive Model Inversion Defense | Oct 8, 2024 | Low-rank compressionmodel | CodeCode Available | 0 |
| Model compression as constrained optimization, with application to neural nets. Part V: combining compressions | Jul 9, 2021 | Additive modelsLow-rank compression | CodeCode Available | 0 |
| A flexible, extensible software framework for model compression based on the LC algorithm | May 15, 2020 | BIG-bench Machine LearningLow-rank compression | CodeCode Available | 0 |
| Compact Model Training by Low-Rank Projection with Energy Transfer | Apr 12, 2022 | Low-rank compression | CodeCode Available | 0 |
| ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration | May 30, 2025 | Low-rank compression | CodeCode Available | 0 |
| Decomposable-Net: Scalable Low-Rank Compression for Neural Networks | Oct 29, 2019 | Image ClassificationLow-rank compression | CodeCode Available | 0 |
