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model compression

3,562 papers

MC

Papers

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model CVPR 2026 CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026 C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models AAAI 2026 CLoCKDistill: Consistent Location and Context aware Knowledge Distillation for DETRs WACV 2026 CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026 Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer AAAI 2026 CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026 Compressing Language Models for Specialized Domains EACL 2026 Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026 Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026 D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026 Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression CVPR 2026 Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models WACV 2026 Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026 Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026 Distilling Balanced Knowledge from a Biased Teacher CVPR 2026 DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL 2026 DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models AAAI 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026 Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting CVPR 2026 Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 DUDA: Distilled Unsupervised Domain Adaptation for Lightweight Semantic Segmentation WACV 2026 DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference CVPR 2026 DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation EACL 2026