Knowledge Distillation
3,219 papers
Papers per year
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22
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719
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2000
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Papers
Learning Distilled Collaboration Graph for Multi-Agent Perception
NeurIPS 2021
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading
CVPR 2021
Learning Light-Weight Translation Models from Deep Transformer
AAAI 2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
CVPR 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation
NeurIPS 2021
Learning Student Networks in the Wild
CVPR 2021
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
AAAI 2021
Learning to Distill Convolutional Features Into Compact Local Descriptors
WACV 2021
Learning to Reweight with Deep Interactions
AAAI 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
ICML 2021
Limitations of Knowledge Distillation for Zero-shot Transfer Learning
EMNLP 2021
Lipschitz Continuity Guided Knowledge Distillation
ICCV 2021
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
AAAI 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
ACL 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
ACL 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
ACL 2021
Membership Privacy for Machine Learning Models Through Knowledge Transfer
AAAI 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
ACL 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NeurIPS 2021
MixKD: Towards Efficient Distillation of Large-scale Language Models
ICLR 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
ICCV 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
EMNLP 2021
Modality-specific Distillation
NAACL 2021
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
ICML 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
NeurIPS 2021