Knowledge Distillation
3,219 papers
Papers per year
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Papers
Efficient RGB-T Tracking via Cross-Modality Distillation
CVPR 2023
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
AAAI 2023
Efficient Transformer Knowledge Distillation: A Performance Review
EMNLP 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
ACL 2023
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
NeurIPS 2023
EM-Network: Oracle Guided Self-distillation for Sequence Learning
ICML 2023
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
ACL 2023
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
AAAI 2023
Enhanced Multimodal Representation Learning With Cross-Modal KD
CVPR 2023
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
EMNLP 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
ICCV 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
EMNLP 2023
Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain
EMNLP 2023
Evaluating the Knowledge Base Completion Potential of GPT
EMNLP 2023
Event Causality Extraction via Implicit Cause-Effect Interactions
EMNLP 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
CVPR 2023
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation
EMNLP 2023
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only
ICCV 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
AAAI 2023
Fair Graph Distillation
NeurIPS 2023
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
WACV 2023
f-Divergence Minimization for Sequence-Level Knowledge Distillation
ACL 2023
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
ICCV 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
NeurIPS 2023