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knowledge distillation

3680 papers

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Also known as

KD

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

Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video WACV 2025
Distillation of Diffusion Features for Semantic Correspondence WACV 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning IJCAI 2025
ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation WACV 2025
KULFi Framework: Knowledge Utilization for Optimizing Large Language Models for Financial Causal Reasoning COLING 2025
SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation WACV 2025
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts AAAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025
Knockoff Branch: Model Stealing Attack via Adding Neurons in the Pre-Trained Model WACV 2025
Focusing on What to Decode and What to Train: SOV Decoding with Specific Target Guided DeNoising and Vision Language Advisor WACV 2025
CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities ICCV 2025
Augmenting Moment Retrieval: Zero-Dependency Two-Stage Learning ICCV 2025
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection WACV 2025
Bridging the Gap: Efficient Cross-Lingual NER in Low-Resource Financial Domain COLING 2025
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models AAAI 2025
Multispectral Pedestrian Detection with Sparsely Annotated Label AAAI 2025
Joint Diffusion Models in Continual Learning ICCV 2025
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation IJCAI 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation ICCV 2025
Just KIDDIN’ : Knowledge Infusion and Distillation for Detection of INdecent Memes ACL 2025
Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025
Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data ACL 2025