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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
IJCNLP 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
IJCNLP 2021
Employing Argumentation Knowledge Graphs for Neural Argument Generation
ACL 2021
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering
ACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
ACL 2021
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
ACL 2021
Data-Free Knowledge Distillation for Image Super-Resolution
CVPR 2021
Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation
CVPR 2021
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble
IJCNLP 2021
Cross-model Back-translated Distillation for Unsupervised Machine Translation
ICML 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
ICML 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
MIDL 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
EMNLP 2021
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
EMNLP 2021
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
NIPS 2021
Diversity Matters When Learning From Ensembles
NIPS 2021
Comprehensive Knowledge Distillation with Causal Intervention
NIPS 2021
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
EMNLP 2021
A Lightweight Framework for Online Voice Activity Detection in the Wild
INTERSPEECH 2021
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
NIPS 2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
NIPS 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
AAAI 2021
Reinforced Multi-Teacher Selection for Knowledge Distillation
AAAI 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
AAAI 2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
AAAI 2021
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