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Model Compression

1,896 papers

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Papers

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching CVPR 2026 AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception CVPR 2026 AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs ACL 2026 Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding CVPR 2026 Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026 Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models CVPR 2026 BinaryAttention: One-Bit QK-Attention for Vision and Diffusion Transformers CVPR 2026 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook ACL 2026 BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs ACL 2026 Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026 Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization UAI 2026 Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression CVPR 2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 DuetMerging: Synergizing Dynamic and Static Strategies for Mitigating Task Interference in Model Merging CVPR 2026 DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference CVPR 2026 EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling CVPR 2026 Expert Calibration Lens for Pruning Mixture of Experts ACL 2026 Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization ACL 2026 FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters CVPR 2026 Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients CVPR 2026 From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction ACL 2026 GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026