Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

    Yen-Huan Li, Ying-Ting Lin, Chung-En Tsai p62764-62791 from Advances in Neural Information Processing Systems 36
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  • Data-Driven Conditional Robust Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Conditional Robust Optimization

    Nymisha Bandi, Abhilash Reddy Chenreddy, Erick Delage p9525-9537 from Advances in Neural Information Processing Systems 35
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  • Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

    Samuel Holt, Tennison Liu, Zhaozhi Qian, Mihaela van der Schaar, James Weatherall p96325-96366 from Advances in Neural Information Processing Systems 37
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  • Data-Driven Network Neuroscience: On Data Collection and Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Network Neuroscience: On Data Collection and Benchmark

    Sophi Shilpa Gururajapathy, David Huang, Yiping Ke, Haribalan Kumar, Eryn Kwon, Josh McGeown, Miao Qiao, Alan Wang, Jiaxing Xu, Yunhan Yang p21841-21856 from Advances in Neural Information Processing Systems 36
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  • Data-Driven Offline Decision-Making Via Invariant Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Driven Offline Decision-Making Via Invariant Representation Learning

    Aviral Kumar, Sergey Levine, Han Qi, Yi Su p13226-13237 from Advances in Neural Information Processing Systems 35
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  • Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

    Mehran Mesbahi, Amirhossein Taghvaei, Shahriar Talebi p69546-69585 from Advances in Neural Information Processing Systems 36
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  • Data-Efficient Augmentation for Training Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Augmentation for Training Neural Networks

    Tian Yu Liu, Baharan Mirzasoleiman p5124-5136 from Advances in Neural Information Processing Systems 35
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  • Data-Efficient Learning with Neural Programs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Learning with Neural Programs

    Rajeev Alur, Seewon Choi, Ziyang Li, Mayur Naik, Alaia Solko-Breslin, Neelay Velingker, Eric Wong p14666-14689 from Advances in Neural Information Processing Systems 37
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  • Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

    Wuyang Chen, Michael Mahoney, Dmitriy Morozov, Pu Ren, Jialin Song, Shashank Subramanian p6213-6245 from Advances in Neural Information Processing Systems 37
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  • Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data

    Emma Brunskill, Yannis Flet-Berliac, Deon Jordan, Allen Nie, William Steenbergen p14810-14823 from Advances in Neural Information Processing Systems 35
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  • Data-Efficient Structured Pruning Via Submodular Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Efficient Structured Pruning Via Submodular Optimization

    Marwa El Halabi, Simon Lacoste-Julien, Suraj Srinivas p36613-36626 from Advances in Neural Information Processing Systems 35
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  • Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables

    Jinfei Liu, Qiheng Sun, Haocheng Xia p44935-44964 from Advances in Neural Information Processing Systems 37
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  • Data-Informed Geometric Space Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-Informed Geometric Space Selection

    Wenqi Jiang, Shuai Zhang p23224-23236 from Advances in Neural Information Processing Systems 36
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  • Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data

    Ioana Bica, Jonathan Crabbé, Nabeel Seedat, Mihaela Van Der Schaar p23660-23674 from Advances in Neural Information Processing Systems 35
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  • DataComp-LM: In search of the next generation of training sets for language models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataComp-LM: In search of the next generation of training sets for language models

    Amro Abbas, Alon Albalak, Kushal Arora, Hritik Bansal, Yonatan Bitton, Yair Carmon, Khyathi Chandu, Mayee Chen, Giannis Daras, Achal Dave, Alexandros Dimakis, Alaaeldin El-Nouby, Fartash Faghri, Alex Fang, Samir Gadre, Josh Gardner, et al. p14200-14282 from Advances in Neural Information Processing Systems 37
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  • DataComp: In search of the next generation of multimodal datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataComp: In search of the next generation of multimodal datasets

    Romain Beaumont, Yonatan Bitton, Yair Carmon, Mehdi Cherti, Giannis Daras, Alex Dimakis, Rahim Entezari, Alex Fang, Ali Farhadi, Samir Yitzhak Gadre, Dhruba Ghosh, Hannaneh Hajishirzi, Jonathan Hayase, Gabriel Ilharco, Jenia Jitsev, et al. p27092-27112 from Advances in Neural Information Processing Systems 36
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  • DataMUX: Data Multiplexing for Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataMUX: Data Multiplexing for Neural Networks

    Carlos Jimenez, Vishvak Murahari, Karthik Narasimhan, Runzhe Yang p17515-17527 from Advances in Neural Information Processing Systems 35
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  • DataPerf: Benchmarks for Data-Centric AI Development

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataPerf: Benchmarks for Data-Centric AI Development

    Bilge Acun, Newsha Ardalani, Lora Aroyo, Colby Banbury, Max Bartolo, Lingjiao Chen, Juan Ciro, Cody Coleman, Will Cukierski, Greg Diamos, Sudnya Diamos, Evan Sabri Eyuboglu, William Gaviria Rojas, Amirata Ghorbani, Emmett Goodman, Lynn He, et al. p5320-5347 from Advances in Neural Information Processing Systems 36
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  • DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

    Huizhong Chen, Liang-Chieh Chen, Yin Cui, Golnaz Ghiasi, Xiuye Gu, Jonathan Huang, Weicheng Kuo, Abdullah Rashwan, David Ross, Xuan Yang, Xingyi Zhou p67329-67354 from Advances in Neural Information Processing Systems 36
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  • Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

    Sahar Abdelnabi, Dragos Albastroiu, Giovanni Cherubin, Niv Cohen, Edoardo Debenedetti, Mario Fritz, Reshmi Ghosh, Victor Klemm, Stefan Kraft, Yuval Lemberg, Chenhao Li, Takahiro Miki, Daniel Paleka, Javier Rando, Ahmed Salem, Robin Schmid, et al. p36914-36937 from Advances in Neural Information Processing Systems 37
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  • Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum

    Jen-Hao Chang, Cem Koc, Chun-Liang Li, Hadi Pouransari, Vaishaal Shankar, Oncel Tuzel, Pavan Vasu p36121-36147 from Advances in Neural Information Processing Systems 37
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  • Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation

    Khoi Nguyen, Quang Nguyen, Anh Tran, Truong Vu p76872-76892 from Advances in Neural Information Processing Systems 36
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  • Dataset Distillation Using Neural Feature Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Distillation Using Neural Feature Regression

    Jimmy Ba, Ehsan Nezhadarya, Yongchao Zhou p9813-9827 from Advances in Neural Information Processing Systems 35
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  • Dataset Distillation Via Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Distillation Via Factorization

    Songhua Liu, Kai Wang, Xinchao Wang, Xingyi Yang, Jingwen Ye p1100-1113 from Advances in Neural Information Processing Systems 35
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