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NeurIPS 2026Sony AIVrije Universiteit AmsterdamFondazione Bruno KesslerU EdinburghRepresentation & contrastive learning

Where to Approximate in Neurosymbolic Inference?

Samy Badreddine, Emile van Krieken, Luciano Serafini, Antonio Vergari

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Sapienza University of RomaU VeronaFondazione Bruno KesslerVision-language models

Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment

Qiuyu Kong, Zanxi Ruan, Marco Cristani, Yiming Wang

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026ZhejiangWestlakeMBZUAIFondazione Bruno KesslerMohamed bin Zayed University of Mixture of experts

Towards Principled Fine-Grained MoE Expert Pruning via Pseudo-Boolean Approximation

Zongfang Liu, Ziheng Cheng, Shengkun Tang, Jinghui Zhang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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86%Must read
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NeurIPS 2026Fondazione Bruno KesslerU BristolU Southern Denmark - SDUOhio State University, ColumbusMax Planck Institute of Animal B3D vision & reconstruction

WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife

WildBox provides aerial monocular 3D wildlife annotations and benchmarks showing zero-shot 3D detection collapses to zero, with fine-tuning reaching 13.17 AP3D and depth as the dominant failure mode.

Vandita Shukla, Kilian Meier, Lucie Laporte-Devylder, Camille R Saint-Jean and 5 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 14 of 20 reviewers recommend it
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