Summary of Condensed Sample-guided Model Inversion For Knowledge Distillation, by Kuluhan Binici et al.
Condensed Sample-Guided Model Inversion for Knowledge Distillationby Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung…
Condensed Sample-Guided Model Inversion for Knowledge Distillationby Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung…
Using Advanced LLMs to Enhance Smaller LLMs: An Interpretable Knowledge Distillation Approachby Tong Wang, K.…
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learningby Dino Ienco, Cassio Fraga DantasFirst…
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillationby Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Zhiqi…
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillationby Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul,…
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge…
How to Train the Teacher Model for Effective Knowledge Distillationby Shayan Mohajer Hamidi, Xizhen Deng,…
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architecturesby Kuluhan Binici, Weiming Wu, Tulika…
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learningby Qifan Zhang, Yunhui Guo, Yu XiangFirst…
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labelsby Yinsheng He, Xingyu Li,…