Built on

Morgan-Kaufmann, 1994
C. Cortes, L. D. Jackel, S. A. Solla, V. Vapnik, and J. S. Denker, “Learning curves: Asymptotic values and rate of convergence,” in Advances in Neural Information Processing Systems 6 · 1994
Earlier work this paper cites.
https://cds.cern.ch/record/927385
A. Rizzi, F. Palla, and G. Segneri, “Track impact parameter based b-tagging with CMS,” Tech. Rep. CMS-NOTE-2006-019 · 2006
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A. Hocker et al
2007
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J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam, “Jet substructure as a new Higgs search channel at the LHC,” Phys. Rev. Lett
Original
2008
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M. Bahr et al
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2008
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R. Hadsell, P. Sermanet, J. Ben, A. Erkan, M. Scoffier, K. Kavukcuoglu, U. Muller, and Y. LeCun, “Learning long-range vision for autonomous off-road driving,” Journal of Field Robotics
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G. P. Salam, “Towards Jetography,” Eur. Phys. J
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2010
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Springer Berlin Heidelberg, Berlin, Heidelberg, 2010
A. Farhadi, M. Hejrati, M. A. Sadeghi, P. Young, C. Rashtchian, J. Hockenmaier, and D. Forsyth, “Every picture tells a story: Generating sentences from images,” in Computer Vision – ECCV 2010 · 2010
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T. Plehn, G. P. Salam, and M. Spannowsky, “Fat Jets for a Light Higgs,” Phys. Rev. Lett
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2010
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T. Plehn, M. Spannowsky, M. Takeuchi, and D. Zerwas, “Stop Reconstruction with Tagged Tops,” JHEP
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2010
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A. Abdesselam et al
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2011
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J. Thaler and K. Van Tilburg, “Identifying Boosted Objects with N-subjettiness,” JHEP
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2011
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https://cds.cern.ch/record/1395489
CMS · 2011
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A. Altheimer et al
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2012
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T. Plehn and M. Spannowsky, “Top Tagging,” J. Phys
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2012
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C. Farabet, C. Couprie, L. Najman, and Y. LeCun, “Scene parsing with multiscale feature learning, purity trees, and optimal covers,” CoRR
Original
2012
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M. Cacciari, G. P. Salam, and G. Soyez, “FastJet User Manual,” Eur. Phys. J
Original
2012
Earlier work this paper cites.

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Then

G. Kasieczka, T. Plehn, T. Schell, T. Strebler, and G. P. Salam, “Resonance Searches with an Updated Top Tagger,” JHEP
Original
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Later among the works it cites.
T. Sjöstrand, S. Ask, J. R. Christiansen, R. Corke, N. Desai, P. Ilten, S. Mrenna, S. Prestel, C. O. Rasmussen, and P. Z. Skands, “An Introduction to PYTHIA 8.2,” Comput. Phys. Commun
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Later among the works it cites.
http://tensorflow.org/ . Software available from tensorflow.org
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015 · 2015
Later among the works it cites.
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Later among the works it cites.

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2018

Pulling Out All the Tops with Computer Vision and Deep Learning

Macaluso, Sebastian, Shih, David

Understand

We apply computer vision with deep learning -- in the form of a convolutional neural network (CNN) -- to build a highly effective boosted top tagger.

Previous work (the "DeepTop" tagger of Kasieczka et al) has shown that a CNN-based top tagger can achieve comparable performance to state-of-the-art conventional top taggers based on high-level inputs.
Here, we introduce a number of improvements to the DeepTop tagger, including architecture, training, image preprocessing, sample size and color pixels.
Our final CNN top tagger outperforms BDTs based on high-level inputs by a factor of $\sim 2$--3 or more in background rejection, over a wide range of tagging efficiencies and fiducial jet selections.

Built on

Morgan-Kaufmann, 1994
C. Cortes, L. D. Jackel, S. A. Solla, V. Vapnik, and J. S. Denker, “Learning curves: Asymptotic values and rate of convergence,” in Advances in Neural Information Processing Systems 6 · 1994
Earlier work this paper cites.
https://cds.cern.ch/record/927385
A. Rizzi, F. Palla, and G. Segneri, “Track impact parameter based b-tagging with CMS,” Tech. Rep. CMS-NOTE-2006-019 · 2006
Earlier work this paper cites.
A. Hocker et al
2007
Earlier work this paper cites.
J. M. Butterworth, A. R. Davison, M. Rubin, and G. P. Salam, “Jet substructure as a new Higgs search channel at the LHC,” Phys. Rev. Lett
Original
2008
Earlier work this paper cites.
M. Bahr et al
Original
2008
Earlier work this paper cites.
R. Hadsell, P. Sermanet, J. Ben, A. Erkan, M. Scoffier, K. Kavukcuoglu, U. Muller, and Y. LeCun, “Learning long-range vision for autonomous off-road driving,” Journal of Field Robotics
2009
Earlier work this paper cites.
G. P. Salam, “Towards Jetography,” Eur. Phys. J
Original
2010
Earlier work this paper cites.
Springer Berlin Heidelberg, Berlin, Heidelberg, 2010
A. Farhadi, M. Hejrati, M. A. Sadeghi, P. Young, C. Rashtchian, J. Hockenmaier, and D. Forsyth, “Every picture tells a story: Generating sentences from images,” in Computer Vision – ECCV 2010 · 2010
Earlier work this paper cites.
T. Plehn, G. P. Salam, and M. Spannowsky, “Fat Jets for a Light Higgs,” Phys. Rev. Lett
Original
2010
Earlier work this paper cites.
T. Plehn, M. Spannowsky, M. Takeuchi, and D. Zerwas, “Stop Reconstruction with Tagged Tops,” JHEP
Original
2010
Earlier work this paper cites.
A. Abdesselam et al
Original
2011
Earlier work this paper cites.
J. Thaler and K. Van Tilburg, “Identifying Boosted Objects with N-subjettiness,” JHEP
Original
2011
Earlier work this paper cites.
https://cds.cern.ch/record/1395489
CMS · 2011
Earlier work this paper cites.
A. Altheimer et al
Original
2012
Earlier work this paper cites.
T. Plehn and M. Spannowsky, “Top Tagging,” J. Phys
Original
2012
Earlier work this paper cites.
C. Farabet, C. Couprie, L. Najman, and Y. LeCun, “Scene parsing with multiscale feature learning, purity trees, and optimal covers,” CoRR
Original
2012
Earlier work this paper cites.
M. Cacciari, G. P. Salam, and G. Soyez, “FastJet User Manual,” Eur. Phys. J
Original
2012
Earlier work this paper cites.

Similar

T. Schaul, S. Zhang, and Y. LeCun, “No More Pesky Learning Rates,” ArXiv e-prints
Original
2012
Cited alongside, same era.
M. D. Zeiler, “ADADELTA: an adaptive learning rate method,” CoRR
Original
2012
Cited alongside, same era.
A. Altheimer et al
Original
2014
Cited alongside, same era.
O. Vinyals, A. Toshev, S. Bengio, and D. Erhan, “Show and tell: A neural image caption generator,” CoRR
Original
2014
Cited alongside, same era.
June, 2014
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, “Deepface: Closing the gap to human-level performance in face verification,” in 2014 IEEE Conference on Computer Vision and Pattern Recognition · 2014
Cited alongside, same era.

Then

G. Kasieczka, T. Plehn, T. Schell, T. Strebler, and G. P. Salam, “Resonance Searches with an Updated Top Tagger,” JHEP
Original
2015
Later among the works it cites.
T. Sjöstrand, S. Ask, J. R. Christiansen, R. Corke, N. Desai, P. Ilten, S. Mrenna, S. Prestel, C. O. Rasmussen, and P. Z. Skands, “An Introduction to PYTHIA 8.2,” Comput. Phys. Commun
Original
2015
Later among the works it cites.
http://tensorflow.org/ . Software available from tensorflow.org
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015 · 2015
Later among the works it cites.
R. B. Girshick, “Fast R-CNN,” CoRR
Original
2015
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

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