knowledge distillation

3680 papers

Explore in graph

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

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks AAAI 2026

Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026

Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills AAAI 2026

Enhancing Medical Large Vision-Language Models via Alignment Distillation AAAI 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026

SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning AAAI 2026

rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality AAAI 2026

Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning AAAI 2026

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026

Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026

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

DUP: Detection-guided Unlearning for Backdoor Purification in Language Models AAAI 2026