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Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis
Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran
2citations -
Focus on the Fog: Leveraging Student Uncertainty for Guided Knowledge Distillation in Semantic Segmentation2026 Proceedings - International Conference on Image Processing conference-paper Computer Science Advanced Neural Network Applications
Emil Mededovic, Fabian Gülhan, Rüveyda Yilmaz, Johannes Stegmaier
0citations -
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation2025 neural information processing systems conference-paper Computer Science Software Engineering Research
Jinyang Li, Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng
0citations -
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation2023 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, +1 more
5citations -
Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models - Source Code2025 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Domain Adaptation and Few-Shot Learning Open access
Arthur Guijt, Dirk Thierens, Ellen M. Kerkhof, Jan Wiersma, Tanja Alderliesten, Peter A.N. Bosman
0citations -
Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models - Source Code2025 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Domain Adaptation and Few-Shot Learning Open access
Arthur Guijt, Dirk Thierens, Ellen M. Kerkhof, Jan Wiersma, Tanja Alderliesten, Peter A.N. Bosman
0citations -
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Topic Modeling Open access
Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, +3 more
4citations