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Methodology
← Learning Types
Deep Learning
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Knowledge Distillation
790 directly classified papers
Papers per year
2014: 1
2016: 2
2017: 3
2018: 9
2019: 30
2020: 73
2021: 90
2022: 112
2023: 135
2024: 174
2025: 159
2026: 2
Papers
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations
ACL 2022
BERT Learns to Teach: Knowledge Distillation with Meta Learning
ACL 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
ACL 2022
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
ACL 2022
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models
ACL 2022
Low Resource Causal Event Detection from Biomedical Literature
ACL 2022
Model Distillation for Faithful Explanations of Medical Code Predictions
ACL 2022
Domain-specific knowledge distillation yields smaller and better models for conversational commerce
ACL 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
NIPS 2022
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
NIPS 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
ICML 2022
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
ICML 2022
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
NAACL 2022
Knowledge Inheritance for Pre-trained Language Models
NAACL 2022
Transferring Knowledge from Structure-aware Self-attention Language Model to Sequence-to-Sequence Semantic Parsing
COLING 2022
Co-Segmentation Aided Two-Stream Architecture for Video Captioning
WACV 2022
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection
EMNLP 2022
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
EMNLP 2022
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval
EMNLP 2022
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding
ACL 2022
Adversarial Knowledge Distillation For Robust Spoken Language Understanding
INTERSPEECH 2022
Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning
INTERSPEECH 2022
Data-augmented cross-lingual synthesis in a teacher-student framework
INTERSPEECH 2022
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
INTERSPEECH 2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
CVPR 2022
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