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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion
WACV 2026
D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation
AAAI 2026
CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information
WACV 2026
Distilling Offline Action Detection Models into Real-Time Streaming Models
WACV 2026
Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers
AAAI 2026
Credal Ensemble Distillation for Uncertainty Quantification
AAAI 2026
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
AAAI 2026
End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models
AAAI 2026
Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching
AAAI 2026
DivControl: Knowledge Diversion for Controllable Image Generation
AAAI 2026
Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
AAAI 2026
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning
AAAI 2026
Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer
AAAI 2026
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
AAAI 2026
rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality
AAAI 2026
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
AAAI 2026
Distilling Cross-Modal Knowledge via Feature Disentanglement
AAAI 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
AAAI 2026
Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack
AAAI 2026
EASE: Practical and Efficient Safety Alignment for Small Language 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
EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens
AAAI 2026
Self-Correction Distillation for Structured Data Question Answering
AAAI 2026
Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale
EACL 2026
DICE: Distilling Classifier-Free Guidance into Text Embeddings
AAAI 2026
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