57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026German Research Center for ArtifGerman Research Center for AIBackdoors & data poisoningBackdoor Attacks Rerouted: BatchNorm as a Sink for Adversarial SignalsMd Abdul Kadir, Tuan Tran Anh, Daniel SonntagSydney 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
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026SpotlightGerman Research Center for ArtifGerman Research Center for AIFeature attributionWeakly Supervised Concept Learning for Interpreting and Attributing LVLM PredictionsMd Abdul Kadir, Omair Shahzad Bhatti, Daniel SonntagSydney 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
83%Must read?Must readVote to see the scoreNeurIPS 2026TU DelftGerman Research Center for AIGerman Research Center for ArtifDelft University of Technology3D vision & reconstructionInvaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution PredictionInvaria learns scale and density invariant point cloud features via next-resolution prediction, boosting low-resolution ScanNet mIoU by 56% with a smaller model and fewer tokens.Chun-Peng Chang, Shaoxiang Wang, Alain Pagani, Dariu Gavrila and 1 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet13/20 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: 13 of 20 reviewers recommend itlenient 5/5medium 8/10strict 0/5