Co-occurring keywords · papers mentioning both
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