57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Universitat Politècnica de CatalStanfordUniversitat Pompeu FabraUniversidad Politécnica de CatalU California, BerkeleyDatasets & benchmarksTabBioMed: A Large-Scale Benchmark for Biomedical Tabular LearningPau Mateo Bernadó, Saivenkata Nagavyjayanthi Polapragada, Pol Arbiol Rakuljic, Laia M Pladevall and 7 moreParis Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Universitat Politècnica de CatalU ZurichBarcelona Supercomputing CenterUniversidad Politécnica de CatalUniversitat Pompeu FabraDatasets & benchmarksLSC-Parlament: An Automatically Aligned Catalan Sign Language Dataset from Parliament Videos.Carlos Escolano, Gerard Sant, Marc J Garcia, Joan G Cortés and 3 moreParis Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
80%Must read?Must readVote to see the scoreNeurIPS 2026UC Santa BarbaraU Roma "La Sapienza"Universitat Politècnica de CatalU FribourgAalto University, CGIHypergraphsHOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial RepresentationsHOPSE replaces higher-order message passing with Hasse-graph encodings to scale linearly on combinatorial domains while matching or exceeding state-of-the-art performance.Guillermo Bernárdez, Marco Montagna, Louis Van Langendonck, Martin Carrasco and 6 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet12/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 12 of 20 reviewers recommend itlenient 4/5medium 8/10strict 0/5