45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026ELLIS Institute Tübingen, Max PlETH Zurich; Max-Planck-InstituteMax Planck Institute for IntelliETHZ - ETH ZurichETH ZurichRepresentation & contrastive learningFixed-Point Reasoning: Stable and Adaptive Deep Looped ModelsSajad Movahedi, Shlomo Libo Feigin, Vera Milovanović, Alexander Theus and 4 moreSydney Poster Session 3, Wed, Dec 9, 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026ETH ZürichMassachusetts Institute of TechnKU LeuvenMITTechnion - Israel Institute of TTime series foundation modelsPhyTS: A Benchmark for Scientific Time SeriesBenedict Armstrong, Jeroen Audenaert, Hannah P Binney, Alice Cheng and 22 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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
83%Must read?Must readVote to see the scoreNeurIPS 2026ELLIS Institute Tübingen & Nanyang TechnologicalEberhard-Karls-Universität TübinXiamenUC BerkeleyQuantizationAlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts QuantizationAlphaQ allocates MoE quantization bits without calibration using heavy-tailed spectral analysis, outperforming calibration-based methods and achieving near full-precision accuracy at 3.5-bit average precision.Wanqi Yang, Yuexiao Ma, Alexander Conzelmann, Xiawu Zheng and 3 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face– 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