knowledge distillation

CTPD: Cross Tokenizer Preference Distillation AAAI 2026 D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness AAAI 2026 D²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation AAAI 2026 Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving AAAI 2026 DeepAlign: Mitigating Modality Conflict through Modality-Specific Alignment CVPR 2026 Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026 Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation CVPR 2026 Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026 DICE: Distilling Classifier-Free Guidance into Text Embeddings AAAI 2026 Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion AAAI 2026 Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026 Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval AAAI 2026 Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026 Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026 Distillation Traps and Guards: A Calibration Knob for LLM Distillability ACL 2026 Distilling Balanced Knowledge from a Biased Teacher CVPR 2026 Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026 Distilling Diversity and Control in Diffusion Models WACV 2026 Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection AAAI 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 Distilling Quasi-Conformal Mapping: A Generalizable and Efficient Solution for Wide-Angle Correction CVPR 2026 Distilling Safe LLM Systems via Soft Prompts for On Device Settings UAI 2026 Distilling Unsigned Distance Function for Surface Reconstruction from 3D Gaussian Splatting CVPR 2026 Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026 DiT-Distill: Open-Set Fine-Grained Retrieval via Generative Curriculum Knowledge CVPR 2026