45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026OralNortheasternUC BerkeleyU HoustonOptimizationThe Power of a Random Sample in Online AlgorithmsOmer Wasim, Sami Davies, Shallu Tomer, Rathish DasAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · 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 2026U HoustonU Electro-CommunicationsKeioFinance & economicsFairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring MechanismsJiachen Shen, Xingke Yang, Hui Zhong, Aohan Li and 4 moreAtlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 2026U HoustonPeng Cheng LaboratoryBeijing University of Posts and Stevens Institute of TechnologyWasedaInstruction tuningEfficient Collaborative LLM Fine-Tuning over Heterogeneous Mobile Devices via Many Backbones to One Side-Network TuningXingke Yang, Liang Li, Sicong Li, Liwei Guan and 5 moreAtlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 2026The University of Hong KongU HoustonMeta, transfer & few-shot learningFrom Generic to Dedicated: A Novel Optimizer for Online Continual LearningYongyi Wu, Zheng Wang, Sen LinSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026SpotlightU HoustonVirginia CommonwealthU California, RiversideWatermarking & AI-text detectionUniReFP: Robust Unified Fingerprinting for Vision Models against Cross-Task Repurposing AttacksZiye Geng, Guang Yang, Yihang Chen, Lingfeng Yao and 4 moreAtlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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 2026U Science and Technology of ChinU HoustonPayPal Inc.Kent StateTest-time computeSpecialists Hold, Generalists Discount: Asymmetric Equilibrium in LLM Routing AuctionsXinyu Hou, Yang Lu, Rabimba Karanjai, Pei-Chi Pan and 3 moreAtlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · 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 0/5medium 0/10strict 1/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Florida InternationalU HoustonSingapore ManagementExplainable AIRobust Surrogate Modeling for Explainable Graph Neural NetworksZhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng and 1 moreAtlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026SpotlightU HoustonWayne StateUC RiversidePrivacyOnline Allocation with Differential PrivacyJianyi Yang, Xingyu Zhou, Mostafa Mushsharat, Shaolei RenAtlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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
78%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026U HoustonTime series foundation modelsCalibrating Scientific Foundation Models with Inference-Time Stochastic AttentionStochastic Attention randomizes attention weights at inference to generate calibrated predictive ensembles without retraining, achieving best native calibration with minimal tuning cost.Akash Yadav, Taiwo Adebiyi, Ruda ZhangSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet11/20 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: 11 of 20 reviewers recommend itlenient 5/5medium 6/10strict 0/5