Knowledge Distillation
3,219 papers
Papers per year
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Papers
On Self-Distilling Graph Neural Network
IJCAI 2021
On the distribution of penultimate activations of classification networks
UAI 2021
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World
CVPR 2021
Papago’s Submission for the WMT21 Quality Estimation Shared Task
EMNLP 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
EMNLP 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
NeurIPS 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
Peer Collaborative Learning for Online Knowledge Distillation
AAAI 2021
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
ICCV 2021
Positive-Congruent Training: Towards Regression-Free Model Updates
CVPR 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection
CVPR 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Interspeech 2021
Practical One-Shot Federated Learning for Cross-Silo Setting
IJCAI 2021
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation
ACL 2021
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Probabilistic Model Distillation for Semantic Correspondence
CVPR 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation
AAAI 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
AAAI 2021
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
AAAI 2021
Question Generation for Adaptive Education
ACL 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
NeurIPS 2021
RankDistil: Knowledge Distillation for Ranking
AISTATS 2021
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
WACV 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
CVPR 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
ACL 2021