A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation
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Zhitang Chen | Bei Yu | Shoubo Hu | Shengyu Zhu | Jianye Hao | Ran Chen | Cheng Chen | Pengyun Li | Yu Huang | Bei Yu | Jianye Hao | Zhitang Chen | Cheng Chen | Shengyu Zhu | Shoubo Hu | Ran Chen | Pengyun Li | Yu Huang
[1] D. Steinley. Properties of the Hubert-Arabie adjusted Rand index. , 2004, Psychological methods.
[2] Sudhakar M. Reddy,et al. Volume diagnosis data mining , 2017, 2017 22nd IEEE European Test Symposium (ETS).
[3] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[4] Qiang Liu,et al. LithoROC: lithography hotspot detection with explicit ROC optimization , 2019, ASP-DAC.
[5] W. Hager,et al. and s , 2019, Shallow Water Hydraulics.
[6] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[7] Illtyd Trethowan. Causality , 1938 .
[8] Thomas Herrmann,et al. Determining a Failure Root Cause Distribution From a Population of Layout-Aware Scan Diagnosis Results , 2012, IEEE Design & Test of Computers.
[9] Krystian Mikolajczyk,et al. Learning local feature descriptors with triplets and shallow convolutional neural networks , 2016, BMVC.
[10] Kaiming He,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] R. Sarpong,et al. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc02572c , 2019, Chemical science.
[12] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] P. Alam. ‘S’ , 2021, Composites Engineering: An A–Z Guide.
[14] Neil Genzlinger. A. and Q , 2006 .
[15] Kaiming He,et al. A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] R. D. Blanton,et al. LASIC: Layout Analysis for Systematic IC-Defect Identification Using Clustering , 2015, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[17] Xuan Zeng,et al. Faster Region-based Hotspot Detection , 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).
[18] Sudhakar M. Reddy,et al. Automatic Identification of Yield Limiting Layout Patterns Using Root Cause Deconvolution on Volume Scan Diagnosis Data , 2017, 2017 IEEE 26th Asian Test Symposium (ATS).
[19] Evangeline F. Y. Young,et al. Layout hotspot detection with feature tensor generation and deep biased learning , 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).
[20] Xinlei Chen,et al. Exploring Simple Siamese Representation Learning , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Laurens van der Maaten,et al. Self-Supervised Learning of Pretext-Invariant Representations , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[23] Avanti Shrikumar,et al. Learning Important Features Through Propagating Activation Differences , 2017, ICML.
[24] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[25] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[26] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[27] Ankur Taly,et al. Axiomatic Attribution for Deep Networks , 2017, ICML.
[28] R. D. Blanton,et al. Systematic defect identification through layout snippet clustering , 2010, 2010 IEEE International Test Conference.
[29] Janusz Rajski,et al. Analyzing Volume Diagnosis Results with Statistical Learning for Yield Improvement , 2007, 12th IEEE European Test Symposium (ETS'07).
[30] Vineeth N. Balasubramanian,et al. Neural Network Attributions: A Causal Perspective , 2019, ICML.