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NeurIPS 2026OralAnt GroupSichuanMohamed Bin Zayed University of WuhanSouth China University of TechnoObject detection

Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization

Xuekang Zhu, Kaiwen Feng, Ruifeng Wang, Xiwen Wang and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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45%Niche pick
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NeurIPS 2026AntGroupShanghai Academy of Artificial IFudanGenomics & single-cell

Nüwa.RNA: An RNA Foundation Model for Unified Representation with Deep Structure Infusion

Kun Huang, Jiyang Li, Xin Guo, LIMEI HAN and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026ShanghaiTechAlibaba GroupAnt GroupAntGroupTime series foundation models

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

Kun Feng, Shaocheng Lan, Yuchen Fang, Wenchao He and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
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83%Must read
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NeurIPS 2026SoutheastCity University of Hong KongAlibaba GroupAntGroupBackdoors & data poisoning

The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training

Platonic Representation Defense detects and purifies backdoored self-supervised encoder representations via cross-model energy functions without labels or training data. It substantially improves robustness across multiple encoders and over ten attacks in fully black-box settings.

Tuo Chen, Minjing Dong, Benlei Cui, Jian liu and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5