| Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks | Feb 4, 2025 | Low-rank compressionModel Compression | —Unverified | 0 |
| Adaptive Pruning of Pretrained Transformer via Differential Inclusions | Jan 6, 2025 | Low-rank compression | —Unverified | 0 |
| CALoR: Towards Comprehensive Model Inversion Defense | Oct 8, 2024 | Low-rank compressionmodel | CodeCode Available | 0 |
| LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy | Oct 4, 2024 | GPULow-rank compression | —Unverified | 0 |
| Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications | May 24, 2024 | Code GenerationLow-rank compression | —Unverified | 0 |
| Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization | May 17, 2024 | Bayesian OptimizationLow-rank compression | —Unverified | 0 |
| ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks | Jan 18, 2024 | Low-rank compressionModel Compression | —Unverified | 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 |
| HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks | Jan 20, 2023 | GPULow-rank compression | —Unverified | 0 |
