RA-ClipScore: Making Generative Model Evaluation More Interpretable | Paper Citation Record

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF international conference on computer vision

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This paper cites In: International Conference on Machine Learning (2022).

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International Conference on Machine Learning (2022)

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This paper cites A Study on the Evaluation of Generative Models.

RA-ClipScore: Making Generative Model Evaluation More Interpretable A Study on the Evaluation of Generative Models

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This paper cites In: International Conference on Learning Representations (2019).

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International Conference on Learning Representations (2019)

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF international conference on computer vision

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This paper cites Lawrence Erl- baum Associates, Hillsdale, NJ, 2 edn.

RA-ClipScore: Making Generative Model Evaluation More Interpretable Lawrence Erl- baum Associates, Hillsdale, NJ, 2 edn

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This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: 2009 IEEE conference on computer vision and pattern recognition

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This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

RA-ClipScore: Making Generative Model Evaluation More Interpretable Advances in neural information processing systems34, 8780–8794 (2021)

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This paper cites In: International Conference on Learning Representations (2017).

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International Conference on Learning Representations (2017)

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This paper cites In: International Conference on Learning Representations (2021).

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International Conference on Learning Representations (2021)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: ICASSP 2023-2023 IEEE Interna- tional Conference on Acoustics, Speech and Signal Processing (ICASSP)

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF international conference on computer vision

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This paper cites What do Vision Transformers Learn? A Visual Exploration.

RA-ClipScore: Making Generative Model Evaluation More Interpretable What do Vision Transformers Learn? A Visual Exploration

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This paper cites Advances in Neural Information Processing Systems36, 52132–52152 (2023).

RA-ClipScore: Making Generative Model Evaluation More Interpretable Advances in Neural Information Processing Systems36, 52132–52152 (2023)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: EMNLP (2021)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2017)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2020)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2023)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2021)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In:Proceedingsofthe 41stInternational ConferenceonMachine Learning

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF international conference on computer vision

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International Conference on Learning Representations (2023)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2019) RA-ClipScore: Making Generative Model Evaluation More Interpretable 17

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the AAAI Conference on Artificial Intelligence

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of International Conference on Computer Vision (ICCV) (December 2015)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International conference on artificial intelligence and statistics (2020)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the 39th Interna- tional Conference on Machine Learning

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Advances in Neural Information Processing Systems (2019)

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International conference on machine learning

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RA-ClipScore: Making Generative Model Evaluation More Interpretable Hierarchical Text-Conditional Image Generation with CLIP Latents

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Reference 45

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: International conference for learning representations

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE conference on computer vision and pattern recognition

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE/CVF international conference on computer vision

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RA-ClipScore: Making Generative Model Evaluation More Interpretable In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 58

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This paper cites DeepViT: Towards Deeper Vision Transformer.

RA-ClipScore: Making Generative Model Evaluation More Interpretable DeepViT: Towards Deeper Vision Transformer

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