knowledge distillation

3680 papers

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Also known as

CD DMD LORA KL DNA SELF-DISTILLATION TKD NBOD AD KD AOTD KI GID FD MKD SEQKD

Co-occurring keywords

model compression (3283) large language model (12755) transfer learning (5442) domain adaptation (4578) representation learning (6174) neural network (6616) language model (4573) continual learning (1164) catastrophic forgetting (939) contrastive learning (3979)

Papers

Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026

Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026

Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge AAAI 2026

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026

U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026

COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control AAAI 2026

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026

MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation AAAI 2026

Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation AAAI 2026

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AAAI 2026

Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer AAAI 2026

ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness AAAI 2026

Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning AAAI 2026

AXON: Action Characterization Through Cross-Modal Knowledge Distillation for Neurodiverse Individuals AAAI 2026

Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026

FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection AAAI 2026

HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026

Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation AAAI 2026

Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval AAAI 2026

CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling AAAI 2026

MSAT-LDM: Toward Transferable High-Fidelity Watermarking for Latent Diffusion Model via Modular Self-Augmented Training AAAI 2026