Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
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
Functional Ensemble Distillation
NIPS 2022
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
EMNLP 2022
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts
COLING 2022
Towards Data-Free Domain Generalization
ACML 2022
Rethinking Resolution in the Context of Efficient Video Recognition
NIPS 2022
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
NIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer
NIPS 2022
A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation
ACML 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NIPS 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NIPS 2022
Fairness without Demographics through Knowledge Distillation
NIPS 2022
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
NIPS 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
NIPS 2022
A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization
INTERSPEECH 2022
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
CVPR 2022
Decomposing NeRF for Editing via Feature Field Distillation
NIPS 2022
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
NIPS 2022
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
NIPS 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
NIPS 2022
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
EMNLP 2022
Memory Efficient Continual Learning with Transformers
NIPS 2022
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
NIPS 2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NIPS 2022
Knowledge Distillation via the Target-Aware Transformer
CVPR 2022
Co-Advise: Cross Inductive Bias Distillation
CVPR 2022
<
1
…
85
86
87
…
117
>