GradAlign for Training-free Model Performance Inference | Paper Citation Record

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This paper cites Zero-Cost Proxies for Lightweight NAS.

GradAlign for Training-free Model Performance Inference Zero-Cost Proxies for Lightweight NAS

Reference 1

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This paper cites cam- bridge university press (1999).

GradAlign for Training-free Model Performance Inference cam- bridge university press (1999)

Reference 3

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This paper cites Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks.

GradAlign for Training-free Model Performance Inference Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks

Reference 4

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This paper cites In: International Conference on Machine Learning.

GradAlign for Training-free Model Performance Inference In: International Conference on Machine Learning

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This paper cites Advances in neural information processing systems9 (1996).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems9 (1996)

Reference 6

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 7

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This paper cites In: International Conference on Ma- chine Learning.

GradAlign for Training-free Model Performance Inference In: International Conference on Ma- chine Learning

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GradAlign for Training-free Model Performance Inference Unresolved cited work

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This paper cites Efficient Lifelong Learning with A-GEM.

GradAlign for Training-free Model Performance Inference Efficient Lifelong Learning with A-GEM

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This paper cites Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.

GradAlign for Training-free Model Performance Inference Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

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Reference 12

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This paper cites Mathe- matics of control, signals and systems2(4), 303–314 (1989).

GradAlign for Training-free Model Performance Inference Mathe- matics of control, signals and systems2(4), 303–314 (1989)

Reference 13

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This paper cites NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.

GradAlign for Training-free Model Performance Inference NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

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This paper cites Advances in Neural Information Processing Systems33, 1023–1035 (2020).

GradAlign for Training-free Model Performance Inference Advances in Neural Information Processing Systems33, 1023–1035 (2020)

Reference 16

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This paper cites In: European conference on computer vision.

GradAlign for Training-free Model Performance Inference In: European conference on computer vision

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This paper cites In: Interna- tional Conference on Machine Learning.

GradAlign for Training-free Model Performance Inference In: Interna- tional Conference on Machine Learning

Reference 18

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This paper cites In: Conference on learning theory.

GradAlign for Training-free Model Performance Inference In: Conference on learning theory

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This paper cites In: International conference on machine learning.

GradAlign for Training-free Model Performance Inference In: International conference on machine learning

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This paper cites Advances in neural information processing systems 31 (2018).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems 31 (2018)

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This paper cites Biometrika 30(1/2), 81–93 (1938).

GradAlign for Training-free Model Performance Inference Biometrika 30(1/2), 81–93 (1938)

Reference 23

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This paper cites NeurIPS (2019).

GradAlign for Training-free Model Performance Inference NeurIPS (2019)

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This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

GradAlign for Training-free Model Performance Inference SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 25

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GradAlign for Training-free Model Performance Inference In: Uncertainty in artificial intelligence

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This paper cites In: Conference on learning theory.

GradAlign for Training-free Model Performance Inference In: Conference on learning theory

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 28

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GradAlign for Training-free Model Performance Inference Unresolved cited work

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This paper cites DARTS: Differentiable Architecture Search.

GradAlign for Training-free Model Performance Inference DARTS: Differentiable Architecture Search

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 31

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This paper cites AtomNAS: Fine-Grained End-to-End Neural Architecture Search.

GradAlign for Training-free Model Performance Inference AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Reference 32

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This paper cites In: ICML.

GradAlign for Training-free Model Performance Inference In: ICML

Reference 33

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This paper cites Advances in neural information processing systems27 (2014).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems27 (2014)

Reference 34

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 35

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This paper cites In: Conference on learning theory.

GradAlign for Training-free Model Performance Inference In: Conference on learning theory

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

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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GradAlign for Training-free Model Performance Inference Unresolved cited work

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This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

GradAlign for Training-free Model Performance Inference In: International Conference on Medical image computing and computer-assisted intervention

Reference 41

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Reference 42

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GradAlign for Training-free Model Performance Inference In: International Conference on Machine Learning

Reference 43

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 45

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This paper cites Advances in neural information processing systems 33, 6377–6389 (2020).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems 33, 6377–6389 (2020)

Reference 46

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This paper cites Representation Benefits of Deep Feedforward Networks.

GradAlign for Training-free Model Performance Inference Representation Benefits of Deep Feedforward Networks

Reference 47

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GradAlign for Training-free Model Performance Inference Faster gaze prediction with dense networks and Fisher pruning

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GradAlign for Training-free Model Performance Inference Picking Winning Tickets Before Training by Preserving Gradient Flow

Reference 49

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This paper cites In: ICLR Blog Track (2022), https: //iclr-blog-track.github.io/2022/03/25/zero-cost-proxies/ , https://iclr- blog-track.github.io/2022/03/25/zero-cost-proxies/.

GradAlign for Training-free Model Performance Inference In: ICLR Blog Track (2022), https: //iclr-blog-track.github.io/2022/03/25/zero-cost-proxies/ , https://iclr- blog-track.github.io/2022/03/25/zero-cost-proxies/

Reference 50

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This paper cites In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision

Reference 51

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This paper cites PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.

GradAlign for Training-free Model Performance Inference PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Reference 52

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 53

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This paper cites In: International conference on machine learning.

GradAlign for Training-free Model Performance Inference In: International conference on machine learning

Reference 54

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This paper cites Empirical Studies on the Properties of Linear Regions in Deep Neural Networks.

GradAlign for Training-free Model Performance Inference Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

Reference 55

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This paper cites GradSign: Model Performance Inference with Theoretical Insights.

GradAlign for Training-free Model Performance Inference GradSign: Model Performance Inference with Theoretical Insights

Reference 56

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Reference 57

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This paper cites Neural Architecture Search with Reinforcement Learning.

GradAlign for Training-free Model Performance Inference Neural Architecture Search with Reinforcement Learning

Reference 58

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This paper cites Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization.

GradAlign for Training-free Model Performance Inference Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

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