45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026The University of AdelaideThe University of MelbourneThe Hong Kong University of SciePekingUnimelb & MBZUAICausal inferenceBayesian Causal Experimental Design for CATE Estimation under NoncomplianceErdun Gao, Yuanyuan Wang, Liang Zhang, Yuhang Liu and 3 moreSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 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: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Australian Institute for MachineU AdelaideOTH RegensburgAdelaideDistribution shift & OOD detectionAdaptive Covariance and Multi-Layer Alignment for Out-of-Distribution DetectionHaoyang Su, Qi Chen, Max Gutbrod, Johan Verjans and 1 moreSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · 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
89%Must read?Must readVote to see the scoreNeurIPS 2026Australian Institute for MachineSoutheastHunanU AdelaideSingapore University of TechnoloAgent benchmarks & environmentsLangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal NavigationLangMap introduces human-verified hierarchical open-vocabulary navigation benchmarks across scene, room, region, and instance levels with 18K tasks, and PlaNaVid achieves top RGB-only success via planning and memory.Bo Miao, Weijia Liu, Jun Luo, Lachlan Shinnick and 7 moreSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 53– ReadersNo votes yet16/20 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: 16 of 20 reviewers recommend itlenient 5/5medium 9/10strict 2/5