← Optimization & Theory
Deep Learning › Optimization & Theory ›

Model Compression

1674 directly classified papers

Papers per year

Papers

Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis AAAI 2025
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025
Block Circulant Adapter for Large Language Models IJCAI 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025
Inference-Time Diffusion Model Distillation ICCV 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning ICCV 2025
Mobile Video Diffusion ICCV 2025
Importance-Based Token Merging for Efficient Image and Video Generation ICCV 2025
Harnessing Input-Adaptive Inference for Efficient VLN ICCV 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception WACV 2025
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping AAAI 2025
Partial Filter-Sharing: Improved Parameter-Sharing Method for Single Image Super-Resolution Networks WACV 2025
MedQwen-PE: Medical Qwen for Parameter-Efficient Multilingual Patient-Centric Summarization, Question Answering and Information Extraction IJCNLP 2025
Comparative Knowledge Distillation WACV 2025
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting WACV 2025
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025