Knowledge Distillation

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint) AAAI 2026 MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AAAI 2026 Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring AAAI 2026 Multimodal Robust Prompt Distillation for 3D Point Cloud Models AAAI 2026 No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data EACL 2026 OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026 OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026 Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy AAAI 2026 Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation AAAI 2026 Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs AAAI 2026 PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026 Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access AAAI 2026 Post Training Quantization for Efficient Dataset Condensation AAAI 2026 ProFuser: Progressive Fusion of Large Language Models AAAI 2026 ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026 Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 Quantifying Social Sentiment in Hostels Using A Domain-Specific Transformer Pipeline EACL 2026 RADAR: Risk-Aware Distilled Adaptive Routing for Efficient Short-Form Video Platform Ecosystem Governance ACL 2026 RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection AAAI 2026 REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026 Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching AAAI 2026 Revisiting Attention in the Dark for Low-Light Person Re-Identiffcation AAAI 2026