Paper

  • ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

    Sanjeev Arora, Yangsibo Huang, Olga Russakovsky, Xindi Wu, Dingli Yu p86004-86047 from Advances in Neural Information Processing Systems 37
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  • Conditional Controllable Image Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Controllable Image Fusion

    Bing Cao, Qinghua Hu, Qilong Wang, Xingxin Xu, Pengfei Zhu p120311-120335 from Advances in Neural Information Processing Systems 37
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  • Conditional Density Estimation with Histogram Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Density Estimation with Histogram Trees

    Matthijs van Leeuwen, Lincen Yang p117315-117339 from Advances in Neural Information Processing Systems 37
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  • Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

    Matt Jordan, Murat Kocaoglu, Md Musfiqur Rahman p77269-77315 from Advances in Neural Information Processing Systems 37
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  • Conditional Outcome Equivalence: A Quantile Alternative to CATE

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Outcome Equivalence: A Quantile Alternative to CATE

    Josh Givens, Song Liu, Henry Reeve, Katarzyna Reluga p102634-102671 from Advances in Neural Information Processing Systems 37
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  • Conditional Synthesis of 3D Molecules with Time Correction Sampler

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Synthesis of 3D Molecules with Time Correction Sampler

    Jaehyeong Jo, Hojung Jung, Bongsang Kim, Dongkyu Lee, Youngrok Park, Laura Schmid, Jinwoo Shin, Se-Young Yun p75914-75941 from Advances in Neural Information Processing Systems 37
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  • Conditioning non-linear and infinite-dimensional diffusion processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditioning non-linear and infinite-dimensional diffusion processes

    Elizabeth Baker, Christy Hipsley, Michael Severinsen, Stefan Sommer, Gefan Yang p10801-10826 from Advances in Neural Information Processing Systems 37
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  • CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

    Jianrong Ding, Haiming Jin, Linghe Kong, Zhanyu Liu, Guanjie Zheng p128227-128259 from Advances in Neural Information Processing Systems 37
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  • Conductivity Analysis of Asymmetric Polysulfone Membranes for CO2

    ECOS 2023

    Conductivity Analysis of Asymmetric Polysulfone Membranes for CO2

    Amparo Ribes Greus, Borja Pascual-José, Alireza Zare, Alberto Puga, Jose Antonio Reina, Marta Giamberini, Amparo Ribes-Greus p3070-3079 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Confidence Calibration of Classifiers with Many Classes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Confidence Calibration of Classifiers with Many Classes

    Faouzi Adjed, Stéphane Herbin, Adrien Le Coz p77686-77725 from Advances in Neural Information Processing Systems 37
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  • Confidence Regulation Neurons in Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Confidence Regulation Neurons in Language Models

    Yonatan Belinkov, Wes Gurnee, Neel Nanda, Mrinmaya Sachan, Xingyi Song, Alessandro Stolfo, Ben Wu p125019-125049 from Advances in Neural Information Processing Systems 37
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  • Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs

    Csaba Szepesvári, Tian Tian, Lin Yang p76139-76176 from Advances in Neural Information Processing Systems 37
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