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Prediction sets have recently been shown to be a promising strategy for quantifying the uncertainty of deep neural networks in a way that provides theoretical guarantees.
Exploring the limits of transfer learning with a unified text-to-text transformer, 2019
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 1910
Earlier work this paper cites.
Determination of Sample Sizes for Setting Tolerance Limits
Wilks, S. S · 1941
Earlier work this paper cites.
Pac confidence sets for deep neural networks via calibrated prediction, 2020
Park, S., Bastani, O., Matni, N., and Lee, I · 2001
Earlier work this paper cites.
Language models are few-shot learners, 2020
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2005
Earlier work this paper cites.
Algorithmic Learning in a Random World
Vovk, V., Gammerman, A., and Shafer, G · 2005
Earlier work this paper cites.
Program synthesis by sketching
Solar-Lezama, A · 2008
Earlier work this paper cites.
Sequence to sequence learning with neural networks, 2014
Sutskever, I., Vinyals, O., and Le, Q. V · 2014
Earlier work this paper cites.
Neural machine translation of rare words with subword units, 2015
Sennrich, R., Haddow, B., and Birch, A · 2015
Cited alongside, same era.
Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., Zhang, Z., and Radev, D · 2018
Cited alongside, same era.
Conformal prediction under covariate shift
Tibshirani, R. J., Foygel Barber, R., Candes, E., and Ramdas, A · 2019
Cited alongside, same era.
Uncertainty sets for image classifiers using conformal prediction
Angelopoulos, A., Bates, S., Malik, J., and Jordan, M. I · 2020
Cited alongside, same era.
The survey: Text generation models in deep learning
Iqbal, T. and Qureshi, S · 2020
Cited alongside, same era.
Distribution-free, risk-controlling prediction sets, 2021
Bates, S., Angelopoulos, A., Lei, L., Malik, J., and Jordan, M. I · 2021
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Evaluating large language models trained on code, 2021
Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. d. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., Ray, A., Puri, R., Krueger, G., Petrov, M., Khlaaf, H., Sastry, G., Mishkin, P., Chan, B., Gray, S., Ryder, N., Pavlov, M., Power, A., Kaiser, L., Bavarian, M., Winter, C., Tillet, P., Such, F. P., Cummings, D., Plappert, M., Chantzis, F., Barnes, E., Herbert-Voss, A., Guss, W. H., Nichol, A., Paino, A., Tezak, N., Tang, J., Babuschkin, I., Balaji, S., Jain, S., Saunders, W., Hesse, C., Carr, A. N., Leike, J., Achiam, J., Misra, V., Morikawa, E., Radford, A., Knight, M., Brundage, M., Murati, M., Mayer, K., Welinder, P., McGrew, B., Amodei, D., McCandlish, S., Sutskever, I., and Zaremba, W · 2021
Later among the works it cites.
Learning to complete code with sketches
Guo, D., Svyatkovskiy, A., Yin, J., Duan, N., Brockschmidt, M., and Allamanis, M · 2021
Later among the works it cites.
Measuring coding challenge competence with apps
Hendrycks, D., Basart, S., Kadavath, S., Mazeika, M., Arora, A., Guo, E., Burns, C., Puranik, S., He, H., Song, D., and Steinhardt, J · 2021
Later among the works it cites.
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A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., Makarenkov, V., and Nahavandi, S · 2021
Cited alongside, same era.
Structured prediction for object detection in deep neural networks
Schulz, H. and Behnke, S
Cited in the paper.
Picard: Parsing incrementally for constrained auto-regressive decoding from language models, 2021
Scholak, T., Schucher, N., and Bahdanau, D · 2021
Later among the works it cites.
Autoregressive structured prediction with language models, 2022
Liu, T., Jiang, Y., Monath, N., Cotterell, R., and Sachan, M · 2022
Later among the works it cites.