Knowledge Distillation
1,494 papers
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Papers
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI 2024
Compact Language Models via Pruning and Knowledge Distillation
NeurIPS 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
AAAI 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
CVPR 2024
CrossKD: Cross-Head Knowledge Distillation for Object Detection
CVPR 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization
NeurIPS 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
CVPR 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
EMNLP 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
ACL 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
AAAI 2024
Data-Free Quantization via Pseudo-label Filtering
CVPR 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
CVPR 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
CVPR 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NeurIPS 2024
DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
CVPR 2024
DIOD: Self-Distillation Meets Object Discovery
CVPR 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP
UAI 2024
Distillation Enhanced Generative Retrieval
ACL 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024