| Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing | May 22, 2025 | Model CompressionNeural Network Compression | —Unverified | 0 |
| Certified Neural Approximations of Nonlinear Dynamics | May 21, 2025 | Neural Network Compression | CodeCode Available | 0 |
| Low-Rank Matrix Approximation for Neural Network Compression | Apr 25, 2025 | Model CompressionNeural Network Compression | —Unverified | 0 |
| GranQ: Granular Zero-Shot Quantization with Channel-Wise Activation Scaling in QAT | Mar 24, 2025 | Neural Network CompressionQuantization | —Unverified | 0 |
| Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix | Mar 14, 2025 | Neural Network CompressionQuantization | —Unverified | 0 |
| Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding | Feb 12, 2025 | Neural Architecture SearchNeural Network Compression | —Unverified | 0 |
| A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks | Jan 6, 2025 | Neural Network CompressionQuantization | —Unverified | 0 |
| What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias | Oct 10, 2024 | Age/UnbiasedFairness | —Unverified | 0 |
| Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching | Oct 9, 2024 | Knowledge DistillationNeural Network Compression | —Unverified | 0 |
| Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models | Sep 26, 2024 | Neural Network CompressionQuantization | CodeCode Available | 0 |