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Methodology
← Learning Types
Deep Learning
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Learning Types
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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
The Mininglamp Machine Translation System for WMT21
EMNLP 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
ACL 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
ACL 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
CVPR 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
CVPR 2021
Distilling Object Detectors via Decoupled Features
CVPR 2021
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
AAAI 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation
AAAI 2021
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
AAAI 2021
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
AAAI 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
AAAI 2021
Robust Model Compression Using Deep Hypotheses
AAAI 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Knowledge Refinery: Learning from Decoupled Label
AAAI 2021
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
AAAI 2021
Collaborative Group Learning
AAAI 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
AAAI 2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
AAAI 2021
Peer Collaborative Learning for Online Knowledge Distillation
AAAI 2021
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting
AAAI 2021
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
AAAI 2021
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
ACL 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
ACL 2021
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
ACL 2021
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