Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
Knowledge Distillation
503 directly classified papers
Papers per year
2017: 3
2018: 7
2019: 12
2020: 26
2021: 54
2022: 72
2023: 81
2024: 118
2025: 129
2026: 1
Papers
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
CVPR 2023
Adaptive Data-Free Quantization
CVPR 2023
Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection
CVPR 2023
OvarNet: Towards Open-Vocabulary Object Attribute Recognition
CVPR 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
CVPR 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers
CVPR 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
CVPR 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
EACL 2023
On the Impact of Knowledge Distillation for Model Interpretability
ICML 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
ICML 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
ICML 2023
Protecting Language Generation Models via Invisible Watermarking
ICML 2023
Bayesian Optimization Meets Self-Distillation
ICCV 2023
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection
INTERSPEECH 2023
Unsupervised Adaptation with Quality-Aware Masking to Improve Target-Speaker Voice Activity Detection for Speaker Diarization
INTERSPEECH 2023
A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference
INTERSPEECH 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher
AAAI 2023
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition
AAAI 2023
KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction
AAAI 2023
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
ACL 2023
TempLM: Distilling Language Models into Template-Based Generators
ACL 2023
Teacher and Student Models of Offensive Language in Social Media
ACL 2023
<
1
…
11
12
13
…
21
>