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New astronomical tasks are often related to earlier tasks for which labels have already been collected.
Masters, K. L., Lintott, C. J., Hart, R. E., Kruk, S. J., Smethurst, R. J., Casteels, K. V., Keel, W. C., Simmons, B. D., Stanescu, D. O., Tate, J., and Tomi, S · 1904
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EfficientNet: Rethinking model scaling for convolutional neural networks
Tan, M. and Le, Q. V · 1905
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Using self-supervised learning can improve model robustness and uncertainty, 6 2019
Hendrycks, D., Mazeika, M., Kadavath, S., and Song, D · 1906
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Supervised contrastive learning
Khosla, P., Teterwak, P., Wang, C., Sarna, A., Tian, Y., Isola, P., Maschinot, A., Liu, C., and Krishnan, D · 2004
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What makes for good views for contrastive learning?
Tian, Y., Sun, C., Poole, B., Krishnan, D., Schmid, C., and Isola, P · 2005
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Bootstrap your own latent a new approach to self-supervised learning
Grill, J. B., Strub, F., Altché, F., Tallec, C., Richemond, P. H., Buchatskaya, E., Doersch, C., Pires, B. A., Guo, Z. D., Azar, M. G., Piot, B., Kavukcuoglu, K., Munos, R., and Valko, M · 2006
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the Seventh Data Release of the Sloan Digital Sky Survey
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Contrastive Representation Learning: A Framework and Review
Le-Khac, P. H., Healy, G., and Smeaton, A. F · 2010
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Candels: The Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey
Grogin, N. A., Kocevski, D. D., Faber, S. M., Ferguson, H. C., Koekemoer, A. M., Riess, A. G., Acquaviva, V., Alexander, D. M., Almaini, O., Ashby, M. L., Barden, M., Bell, E. F., Bournaud, F., Brown, T. M., Caputi, K. I., Casertano, S., Cassata, P., Castellano, M., Challis, P., Chary, R. R., Cheung, E., Cirasuolo, M., Conselice, C. J., Cooray, A. R., Croton, D. J., Daddi, E., Dahlen, T., Davé, R., De Mello, D. F., Dekel, A., Dickinson, M., Dolch, T., Donley, J. L., Dunlop, J. S., Dutton, A. A., Elbaz, D., Fazio, G. G., Filippenko, A. V., Finkelstein, S. L., Fontana, A., Gardner, J. P., Garnavich, P. M., Gawiser, E., Giavalisco, M., Grazian, A., Guo, Y., Hathi, N. P., Häussler, B., Hopkins, P. F., Huang, J. S., Huang, K. H., Jha, S. W., Kartaltepe, J. S., Kirshner, R. P., Koo, D. C., Lai, K., Lee, K. S., Li, W., Lotz, J. M., Lucas, R. A., Madau, P., McCarthy, P. J., McGrath, E. J., McIntosh, D. H., McLure, R. J., Mobasher, B., Moustakas, L. A., Mozena, M., Nandra, K., Newman, J. A., Niemi, S. M., Noeske, K. G., Papovich, C. J., Pentericci, L., Pope, A., Primack, J. R., Rajan, A., Ravindranath, S., Reddy, N. A., Renzini, A., Rix, H. W., Robaina, A. R., Rodney, S. A., Rosario, D. J., Rosati, P., Salimbeni, S., Scarlata, C., Siana, B., Simard, L., Smidt, J., Somerville, R. S., Spinrad, H., Straughn, A. N., Strolger, L. G., Telford, O., Teplitz, H. I., Trump, J. R., Van Der Wel, A., Villforth, C., Wechsler, R. H., Weiner, B. J., Wiklind, T., Wild, V., Wilson, G., Wuyts, S., Yan, H. J., and Yun, M. S · 2011
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The advanced camera for surveys general catalog: Structural parameters for approximately half a million galaxies
Griffith, R. L., Cooper, M. C., Newman, J. A., Moustakas, L. A., Stern, D., Comerford, J. M., Davis, M., Lotz, J. M., Barden, M., Conselice, C. J., Capak, P. L., Faber, S. M., Kirkpatrick, J. D., Koekemoer, A. M., Koo, D. C., Noeske, K. G., Scoville, N., Sheth, K., Shopbell, P., Willmer, C. N., and Weiner, B · 2012
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Contrastive Learning for Label Efficient Semantic Segmentation
Zhao, X., Vemulapalli, R., Mansfield, P. A., Gong, B., Green, B., Shapira, L., and Wu, Y · 2012
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Galaxy Zoo 2: Detailed morphological classifications for 304 122 galaxies from the sloan digital sky survey
Willett, K. W., Lintott, C. J., Bamford, S. P., Masters, K. L., Simmons, B. D., Casteels, K. R. V., Edmondson, E. M., Fortson, L. F., Kaviraj, S., Keel, W. C., Melvin, T., Nichol, R. C., Jordan Raddick, M., Schawinski, K., Simpson, R. J., Skibba, R. A., Smith, A. M., and Thomas, D · 2013
Cited alongside, same era.
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Dieleman, S., Willett, K. W., and Dambre, J · 2015
Overview of the DESI legacy imaging surveys
Dey, A., Schlegel, D. J., Lang, D., Blum, R., Burleigh, K., Fan, X., Findlay, J. R., Finkbeiner, D., Herrera, D., Juneau, S., Landriau, M., Levi, M., McGreer, I., Meisner, A., Myers, A. D., Moustakas, J., Nugent, P., Patej, A., Schlafly, E. F., Walker, A. R., Valdes, F., Weaver, B. A., Yèche, C., Zou, H., Zhou, X., Abareshi, B., Abbott, T. M., Abolfathi, B., Aguilera, C., Alam, S., Allen, L., Alvarez, A., Annis, J., Ansarinejad, B., Aubert, M., Beechert, J., Bell, E. F., BenZvi, S. Y., Beutler, F., Bielby, R. M., Bolton, A. S., Briceño, C., Buckley-Geer, E. J., Butler, K., Calamida, A., Carlberg, R. G., Carter, P., Casas, R., Castander, F. J., Choi, Y., Comparat, J., Cukanovaite, E., Delubac, T., DeVries, K., Dey, S., Dhungana, G., Dickinson, M., Ding, Z., Donaldson, J. B., Duan, Y., Duckworth, C. J., Eftekharzadeh, S., Eisenstein, D. J., Etourneau, T., Fagrelius, P. A., Farihi, J., Fitzpatrick, M., Font-Ribera, A., Fulmer, L., Gänsicke, B. T., Gaztanaga, E., George, K., Gerdes, D. W., Gontcho, S. G. A., Gorgoni, C., Green, G., Guy, J., Harmer, D., Hernandez, M., Honscheid, K., Huang, L., James, D., Jannuzi, B. T., Jiang, L., Joyce, R., Karcher, A., Karkar, S., Kehoe, R., Jean-Paul, K., Kueter-Young, A., Lan, T. W., Lauer, T., Le Guillou, L., van Suu, A. L., Lee, J. H., Lesser, M., Levasseur, L. P., Li, T. S., Mann, J. L., Marshall, B., Martínez-Vázquez, C. E., Martini, P., du Mas des Bourboux, H., McManus, S., Meier, T. G., Ménard, B., Metcalfe, N., Muñoz-Gutiérrez, A., Najita, J., Napier, K., Narayan, G., Newman, J. A., Nie, J., Nord, B., Norman, D. J., Olsen, K. A., Paat, A., Palanque-Delabrouille, N., Peng, X., Poppett, C. L., Poremba, M. R., Prakash, A., Rabinowitz, D., Raichoor, A., Rezaie, M., Robertson, A. N., Roe, N. A., Ross, A. J., Ross, N. P., Rudnick, G., Safonova, S., Saha, A., Javier Sánchez, F., Savary, E., Schweiker, H., Scott, A., Seo, H. J., Shan, H., Silva, D. R., Slepian, Z., Soto, C., Sprayberry, D., Staten, R., Stillman, C. M., Stupak, R. J., Summers, D. L., Tie, S. S., Tirado, H., Vargas-Magaña, M., Katherina Vivas, A., Wechsler, R. H., Williams, D., Yang, J., Yang, Q., Yapici, T., Zaritsky, D., Zenteno, A., Zhang, K., Zhang, T., Zhou, R., and Zhou, Z · 2019
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Simmons, B. D., Lintott, C., Willett, K. W., Masters, K. L., Kartaltepe, J. S., Häußler, B., Kaviraj, S., Krawczyk, C., Kruk, S. J., McIntosh, D. H., Smethurst, R. J., Nichol, R. C., Scarlata, C., Schawinski, K., Conselice, C. J., Almaini, O., Ferguson, H. C., Fortson, L., Hartley, W., Kocevski, D., Koekemoer, A. M., Mortlock, A., Newman, J. A., Bamford, S. P., Grogin, N. A., Lucas, R. A., Hathi, N. P., McGrath, E., Peth, M., Pforr, J., Rizer, Z., Wuyts, S., Barro, G., Bell, E. F., Castellano, M., Dahlen, T., Dekel, A., Ownsworth, J., Faber, S. M., Finkelstein, S. L., Fontana, A., Galametz, A., Grützbauch, R., Koo, D., Lotz, J., Mobasher, B., Mozena, M., Salvato, M., and Wiklind, T · 2017
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Willett, K. W., Galloway, M. A., Bamford, S. P., Lintott, C. J., Masters, K. L., Scarlata, C., Simmons, B. D., Beck, M., Cardamone, C. N., Cheung, E., Edmondson, E. M., Fortson, L. F., Griffith, R. L., Häußler, B., Han, A., Hart, R., Melvin, T., Parrish, M., Schawinski, K., Smethurst, R. J., and Smith, A. M · 2017
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Walmsley, M., Scaife, A. M. M., Lintott, C., Lochner, M., Etsebeth, V., Géron, T., Dickinson, H., Fortson, L., Kruk, S., Masters, K. L., Mantha, K. B., and Simmons, B. D
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