Showing papers from Technische Universität Wien Show all papers
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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S2D uses keymask distillation with temporal drop loss to propagate sparse high-quality pseudo-masks across real videos, outperforming synthetic-data methods in unsupervised video instance segmentation.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 2
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ORCAID extracts interpretable rule-based policies from continuous-action deep RL agents via efficient oblique decision trees with hyperplane splits, local linear models, and leaf merging, maintaining strong performance with few parameters and improving original policies.
Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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CurveBench introduces a 756-image benchmark for hierarchical containment reasoning over nested Jordan curves, showing top models achieve only 19% accuracy on hard cases.
Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 8 on Hugging Face · Code ★ 1
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RelAgent is an LLM agent that builds SQL feature queries and selects predictive models for relational learning, yielding fast, interpretable predictions deployable via standard databases.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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