机构
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School of Agricultural Engineering(农业工程学院)
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Jiangsu University(江苏大学)
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School of Software Engineering(软件学院)
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Beihang University(北京航空航天大学)
CommentsThis manuscript is the original version submitted to NeurIPS 2024, which was later revised and published as "Quotient Network: A Network Similar to ResNet but Learning Quotients" in Algorithms 2024, 17(11), 521 (https://doi.org/10.3390/a17110521). Please cite the journal version when referring to this work
Neural Conditional Probability for Uncertainty Quantification
Vladimir R. Kostic, Karim Lounici, Gregoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil
机构
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CSML, Istituto Italiano di Tecnologia(CSML,意大利技术研究院)
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University of Novi Sad(诺维萨大学)
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CMAP-Ecole Polytechnique(CMAP-巴黎高等学院)
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AI Centre, University College London(伦敦大学学院人工智能中心)
CommentsAdvances in Neural Information Processing Systems (NeurIPS) 2024
Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options
Gracjan Góral, Emilia Wiśnios, Piotr Sankowski, Paweł Budzianowski
机构
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University of Warsaw(华沙大学)
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Institute of Mathematics, Polish Academy of Sciences(波兰科学院数学研究所)
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MIM Solutions(MIM解决方案)
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K-Scale Labs(K-Scale实验室)
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IDEAS NCBR
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IDEAS Research Institute(IDEAS研究学院)
CommentsAccepted for ACL 2025 Main Conference and NeurIPS 2024 FM-EduAssess Workshop
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
机构
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Computer Science Technion - Israel Institute of Technology(技术学院-以色列理工学院计算机科学系)
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Electrical & Computer Engineering Technion - Israel Institute of Technology(技术学院-以色列理工学院电气与计算机工程系)
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NVIDIA Research(NVIDIA研究)
DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
CommentsKeywords: Distributed Training, Foundation Models, Large Language Models, Optimizers, Communication Efficiency, Federated Learning, Distributed Systems, Optimization Theory, Scaling, Robustness. Preprint, under review at NeurIPS
Language Model Alignment in Multilingual Trolley Problems
Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
机构
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Max Planck Institute for Intelligent Systems(马克斯·普朗克智能系统研究所)
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ETH Zürich(苏黎世联邦理工学院)
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University of Toronto(多伦多大学)
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University of Washington(华盛顿大学)
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Allen Institute for AI (AI2)(人工智能研究所)
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Carnegie Mellon University(卡内基梅隆大学)
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University of Trieste(特里斯坦大学)
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University of Michigan(密歇根大学)
CommentsICLR 2025 Spotlight, Best Paper @ NeurIPS 2024 Workshop on Pluralistic Alignment
Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing
Nikola Andrejic, Milica Spasic, Igor Mihajlovic, Petra Milosavljevic, Djordje Pavlovic, Filip Milisavljevic, Uros Milivojevic, Danilo Delibasic, Ivana Mikic, Sinisa Todorovic