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Learning from Disagreement: Maximum Divergence Knowledge Distillation

Aref Jafari, Parsa Ashrafi Fashi, Mehdi Rezagholizadeh, Hanieh Asadi Golmankhaneh and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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SODA: Selective Optimization with Deferred BN Alignment for Efficient Dataset Distillation

Xinyue Bi, Jiacheng Cui, Yaxin Luo, Xinyi Shang and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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You Don’t Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces

Hamza Etcibasi, Ramazan Gokberk Cinbis

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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Logical Distillation of Transformer Encoders

Matteo Forasassi, Thomas Gärtner, Thomas Lukasiewicz, Sagar Malhotra

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Temporal Prototype Alignment for Frozen-Feature Dataset Distillation

Rui Ding, Jing Hu, Mei Chen, Xi Wu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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