Poster "teacher-student models" Papers

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DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks

Saman Forouzandeh, Parham Moradi Dowlatabadi, Mahdi Jalili

Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity

Seonghoon Yu, Dongjun Nam, Dina Katabi et al.

NEURIPS 2025arXiv:2510.22480

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable

En-Hui Yang, Linfeng Ye

Revisit the Essence of Distilling Knowledge through Calibration

Wen-Shu Fan, Su Lu, Xin-Chun Li et al.

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency

Meilong Xu, Xiaoling Hu, Saumya Gupta et al.

ECCV 2024arXiv:2311.16447