Good Papers

Showing papers from AGH University of Science and Technology Show all papers

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NeurIPS 2026AGH University of Science and TeTokenization

Model-Aware Tokenizer Transfer

Mykola Haltiuk, Aleksander Smywiński-Pohl

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026U GroningenU WarsawAGH University of Science and TeFinance & economics

On Nash Equilibria in Participatory Budgeting with Donations and Beyond

GRZEGORZ LISOWSKI, Georgios Papasotiropoulos, Grzegorz Pierczyński, Krzysztof Rogowski

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
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67%Highly rated
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NeurIPS 2026AGH University of Science and TeAmericanObject detection

InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection

Łukasz Marcjan, Dorota Wilk-Kołodziejczyk, Roberto Corizzo

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Institute of Theoretical and AppAGH University of Science and TeAmericanU RochesterRepresentation & contrastive learning

Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning

Katarzyna Filus, Kamil Faber, Roberto Corizzo, Christopher Kanan

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
71%Highly rated
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NeurIPS 2026Jilin University, ChinaJilinThe University of SydneyCity, University of London, UKAGH University of Science and TeFlow matching

Disentangled Representation Learning via Flow Matching

A flow matching framework learns disentangled representations via factor-conditioned flows and orthogonality regularization, improving disentanglement, controllability, and sample fidelity over diffusion baselines.

Jinjin Chi, Taoping Liu, Mengtao Yin, Ximing Li and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5