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Knowledge Distillation

2907 directly classified papers

Papers per year

Papers

Multilingual AMR Parsing with Noisy Knowledge Distillation EMNLP 2021
Jointly Learning to Repair Code and Generate Commit Message EMNLP 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
ESPnet-ST IWSLT 2021 Offline Speech Translation System ACL 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing AAAI 2021
Training Binary Neural Network without Batch Normalization for Image Super-Resolution AAAI 2021
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search AAAI 2021
Semi-Supervised Knowledge Amalgamation for Sequence Classification AAAI 2021
Membership Privacy for Machine Learning Models Through Knowledge Transfer AAAI 2021
Introspective Distillation for Robust Question Answering NIPS 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NIPS 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception NIPS 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media NIPS 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Towards Enabling Meta-Learning from Target Models NIPS 2021
Distilling Object Detectors with Feature Richness NIPS 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps NIPS 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning NIPS 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation NIPS 2021
Noise as a Resource for Learning in Knowledge Distillation WACV 2021