Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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

    Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, et al. p27092-27112 from Advances in Neural Information Processing Systems 36
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  • DataMUX: Data Multiplexing for Neural Networks

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    DataMUX: Data Multiplexing for Neural Networks

    Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Karthik Narasimhan 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

    Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, et al. p5320-5347 from Advances in Neural Information Processing Systems 36
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  • DataRater: Meta-Learned Dataset Curation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataRater: Meta-Learned Dataset Curation

    Dan Andrei Calian, Greg Farquhar, Iurii Kemaev, Luisa Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeff Dean, Hado van Hasselt, David Silver p22786-22818 from Advances in Neural Information Processing Systems 38
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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

    Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David Ross 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

    Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, 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

    Hadi Pouransari, Chun-Liang Li, Jen-Hao Chang, Pavan Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel 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

    Quang Nguyen, Truong Vu, Anh Tran, Khoi Nguyen p76872-76892 from Advances in Neural Information Processing Systems 36
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  • Dataset Distillation for Pre-Trained Self-Supervised Vision Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Distillation for Pre-Trained Self-Supervised Vision Models

    George Cazenavette, Antonio Torralba, Vincent Sitzmann p67182-67223 from Advances in Neural Information Processing Systems 38
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  • Dataset Distillation of 3D Point Clouds via Distribution Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Distillation of 3D Point Clouds via Distribution Matching

    Jae-Young Yim, Dongwook Kim, Jae-Young Sim p82141-82167 from Advances in Neural Information Processing Systems 38
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  • Dataset Distillation Using Neural Feature Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Distillation Using Neural Feature Regression

    Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba 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, Xingyi Yang, Jingwen Ye, Xinchao Wang p1100-1113 from Advances in Neural Information Processing Systems 35
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  • Dataset Inference for Self-Supervised Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dataset Inference for Self-Supervised Models

    Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot p12058-12070 from Advances in Neural Information Processing Systems 35
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  • DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

    Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen p54683-54695 from Advances in Neural Information Processing Systems 36
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  • Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations

    Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu p4685-4715 from Advances in Neural Information Processing Systems 36
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  • Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality

    Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter p33661-33684 from Advances in Neural Information Processing Systems 38
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  • DataSIR: A Benchmark Dataset for Sensitive Information Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataSIR: A Benchmark Dataset for Sensitive Information Recognition

    Fan Mo, Bo Liu, Yuan Fan, Kun Qin, Yizhou Zhao, Jinhe Zhou, Jia Sun, Jinfei Liu, Kui Ren p44298-44317 from Advances in Neural Information Processing Systems 38
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  • DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans

    Yuan Gan, Jiaxu Miao, Yi Yang p132614-132646 from Advances in Neural Information Processing Systems 37
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  • DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models

    Cathy Jiao, Yijun Pan, Emily Xiao, Daisy Sheng, Niket Jain, Hanzhang Zhao, Ishita Dasgupta, Jiaqi Ma, Chenyan Xiong p170673-170710 from Advances in Neural Information Processing Systems 38
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  • dattri: A Library for Efficient Data Attribution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    dattri: A Library for Efficient Data Attribution

    Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. p136763-136781 from Advances in Neural Information Processing Systems 37
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  • DAVE: Diagnostic benchmark for Audio Visual Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DAVE: Diagnostic benchmark for Audio Visual Evaluation

    Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko, Tinne Tuytelaars p59621-59651 from Advances in Neural Information Processing Systems 38
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  • DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation

    Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu p61792-61805 from Advances in Neural Information Processing Systems 36
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  • DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space

    Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, Wanghan Xu, Weidong Yang, Xiaokang Yang, LEI BAI p165055-165091 from Advances in Neural Information Processing Systems 38
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  • DBLoss: Decomposition-based Loss Function for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DBLoss: Decomposition-based Loss Function for Time Series Forecasting

    Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang p31546-31573 from Advances in Neural Information Processing Systems 38
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