Model Compression

Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025 Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025 Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection ICCV 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Partial Filter-Sharing: Improved Parameter-Sharing Method for Single Image Super-Resolution Networks WACV 2025 Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints AAAI 2025 PAT: Pruning-Aware Tuning for Large Language Models AAAI 2025 PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning ICCV 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 Population Normalization for Federated Learning CVPR 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025 Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption ACL 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025 ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ACL 2025 ProCut: LLM Prompt Compression via Attribution Estimation EMNLP 2025 Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models ICCV 2025 Pruning Large Language Models with Semi-Structural Adaptive Sparse Training AAAI 2025 PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer ACML 2025 PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025