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Papers matching “knowledge distillation” 32

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Teacher-student collaborative knowledge distillation for image classification
2022 Applied Intelligence article Computer Science Advanced Neural Network Applications Open access cited by 1 patent

Chuanyun Xu, Wenjian Gao, Tian Li, Nanlan Bai, Gang Li, Yang Zhang

71

citations
Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss
2023 conference-paper Computer Science Speech Recognition and Synthesis

Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran

2

citations
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran

0

citations
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Martin Aubard, László Antal, Ana Maria Madureira, Erika Ábrahám

8

citations
Multiple-Stage Knowledge Distillation
2022 Applied Sciences article Neuroscience Brain Tumor Detection and Classification Open access

Chuanyun Xu, Nanlan Bai, Wenjian Gao, Tian Li, Mengwei Li, Gang Li, +1 more

4

citations
Focus on the Fog: Leveraging Student Uncertainty for Guided Knowledge Distillation in Semantic Segmentation
2026 conference-paper

Emil Mededovic, Fabian Gülhan, Rüveyda Yilmaz, Johannes Stegmaier

0

citations
Data-Centric Green Artificial Intelligence: A Survey
2023 IEEE Transactions on Artificial Intelligence article Computer Science IoT and Edge/Fog Computing

Shirin Salehi, Anke Schmeink

74

citations
Fortschritte bei der neuronalen Sprachmodellierung in der automatischen Spracherkennung
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Kazuki Irie

7

citations
Domain Robust, Fast, and Compact Neural Language Models
2020 conference-paper Computer Science Topic Modeling

Alexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney

3

citations
Synthesis and analysis of neural-network-based control in cyber-physical systems
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Adversarial Robustness in Machine Learning Open access

László Antal

0

citations
SWDD: Sonar Wall Detection Dataset
2024 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Tunneling and Rock Mechanics Open access

Martin Aubard, László Antal, Ana Maria Madureira

0

citations
SWDD: Sonar Wall Detection Dataset
2024 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Tunneling and Rock Mechanics Open access

Martin Aubard, László Antal, Ana Maria Madureira, Erika Ábrahám

0

citations
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
2026 International Conference on 3D Vision (3DV) conference-paper Engineering 3D Shape Modeling and Analysis

Karim Knaebel, Daan de Geus, Alexander Hermans, David B. Adrian, Timm Linder, Bastian Leibe

4

citations
Enhancing CTC-Based Visual Speech Recognition
2024 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Hendrik Laux, Anke Schmeink

0

citations
Lightweight deep learning for real-time road distress detection on mobile devices
2025 Nature Communications article Engineering Infrastructure Maintenance and Monitoring Open access

Yuanyuan Hu, Ning Chen, Yue Hou, Baohong Jing, Pengfei Liu

45

citations
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Reza Azad, Nika Khosravi, Mohammad Dehghanmanshadi, Julien Cohen‐Adad, Dorit Merhof

22

citations
Addressing Missing Modality Challenges in MRI Images: A Comprehensive Review
2025 Computational Visual Media article Neuroscience Brain Tumor Detection and Classification Open access

Reza Azad, Mohammad Dehghanmanshadi, Nika Khosravi, Julien Cohen‐Adad, Dorit Merhof

13

citations
Self-evolving Malware Detection for Cyber Security using Network Traffic and Incremental Learning
2022 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Computer Science Advanced Malware Detection Techniques

Xiaohu Xu, Yifei Liang, Xixi Zhang, Yu Wang, Yun Lin, Bamidele Adebisi, +2 more

7

citations
LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
2024 conference-paper Computer Science Speech and Audio Processing

Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Märtin, Arne Peine, Anke Schmeink

5

citations
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation
2020 conference-paper Computer Science Natural Language Processing Techniques Open access

Baohao Liao, Yingbo Gao, Hermann Ney

5

citations
RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning
2025 Research article Engineering Infrastructure Maintenance and Monitoring Open access cited by 1 patent

Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

4

citations
Generative AI-enhanced road distress identification and quantification under data-scarce and complex environmental conditions
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Infrastructure Maintenance and Monitoring Open access

0

citations
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Martin Aubard, László Antal, Ana Maria Madureira, Luís Filipe Teixeira, Erika Ábrahám

0

citations
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
2025 conference-paper Computer Science Adversarial Robustness in Machine Learning

Martin Aubard, László Antal, Ana Maria Madureira, Luís Filipe Teixeira, Erika Ábrahám

0

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

0

citations