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Methodology
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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
Predicting Prerequisite Relations for Unseen Concepts
EMNLP 2022
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models
EMNLP 2022
Calibrating Student Models for Emotion-related Tasks
EMNLP 2022
Knowledge Transfer from Answer Ranking to Answer Generation
EMNLP 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation
EMNLP 2022
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model
EMNLP 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
EMNLP 2022
BMCook: A Task-agnostic Compression Toolkit for Big Models
EMNLP 2022
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks
EMNLP 2022
Distilling Multilingual Transformers into CNNs for Scalable Intent Classification
EMNLP 2022
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation
EMNLP 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
EMNLP 2022
ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation
EMNLP 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation
EMNLP 2022
Class Incremental Learning for Intent Classification with Limited or No Old Data
EMNLP 2022
Samsung R&D Institute Poland Participation in WMT 2022
EMNLP 2022
HW-TSC’s Submission for the WMT22 Efficiency Task
EMNLP 2022
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
AAAI 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
AAAI 2022
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation
AAAI 2022
Multi-Scale Distillation from Multiple Graph Neural Networks
AAAI 2022
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation
AAAI 2022
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
AAAI 2022
Label Hallucination for Few-Shot Classification
AAAI 2022
TrustAL: Trustworthy Active Learning Using Knowledge Distillation
AAAI 2022
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