Fetching the paper…
Reading the bibliography…
In response to everyday queries, humans explicitly signal uncertainty and offer alternative answers when they are unsure.
The generalization of ‘Student’s’problem when several different population variances are involved
Welch, B. L · 1947
Earlier work this paper cites.
Uncertainty and epistemic curiosity
Berlyne, D. E · 1962
Earlier work this paper cites.
Perception and estimation of time
Fraisse, P · 1984
Earlier work this paper cites.
Bayesian methods for adaptive models
Mackay, D. J. C · 1992
Earlier work this paper cites.
Broadening the definition of decision making: The role of prechoice screening of options
Beach, L. R · 1993
Earlier work this paper cites.
Classification with set-valued decision functions
Grycko, E · 1993
Earlier work this paper cites.
On the course of answering questions
Smith, V. L. and Clark, H. H · 1993
Earlier work this paper cites.
Machine-learning applications of algorithmic randomness
Vovk, V., Gammerman, A., and Saunders, C · 1999
Earlier work this paper cites.
Ensemble methods in machine learning
Dietterich, T. G · 2000
Earlier work this paper cites.
Algorithmic Learning in a Random World
Vovk, V., Gammerman, A., and Shafer, G · 2005
Earlier work this paper cites.
A tutorial on conformal prediction
Shafer, G. and Vovk, V · 2008
Earlier work this paper cites.
Practical variational inference for neural networks
Graves, A · 2011
Earlier work this paper cites.
Bayesian Learning for Neural Networks , volume 118
Neal, R. M · 2012
Earlier work this paper cites.
Evasion attacks against machine learning at test time
Biggio, B., Corona, I., Maiorca, D., Nelson, B., Šrndić, N., Laskov, P., Giacinto, G., and Roli, F · 2013
Earlier work this paper cites.
Statistical power analysis for the behavioral sciences
Cohen, J · 2013
Earlier work this paper cites.
Uncertainty quantification: Theory, Implementation, and Applications , volume 12
Smith, R. C · 2013
Earlier work this paper cites.
Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., and Fergus, R · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Goodfellow, I. J., Shlens, J., and Szegedy, C · 2014
Earlier work this paper cites.
Weight uncertainty in neural network
Blundell, C., Cornebise, J., Kavukcuoglu, K., and Wierstra, D · 2015
Earlier work this paper cites.
The application of conformal prediction to the drug discovery process
Eklund, M., Norinder, U., Boyer, S., and Carlsson, L · 2015
Earlier work this paper cites.
Comparing Person- and Process-Centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk
Mitra, T., Hutto, C., and Gilbert, E · 2015
Earlier work this paper cites.
Introduction to Uncertainty Quantification
Sullivan, T. J · 2015
Earlier work this paper cites.
Broad Twitter corpus: A diverse named entity recognition resource
Derczynski, L., Bontcheva, K., and Roberts, I · 2016
Cited alongside, same era.
Dropout as a Bayesian approximation: Representing model uncertainty in deep learning
Gal, Y. and Ghahramani, Z · 2016
Cited alongside, same era.
On calibration of modern neural networks
Guo, C., Pleiss, G., Sun, Y., and Weinberger, K. Q · 2017
Cited alongside, same era.
Simple and scalable predictive uncertainty estimation using deep ensembles
Lakshminarayanan, B., Pritzel, A., and Blundell, C · 2017
Cited alongside, same era.
Uncertainty Quantification
Soize, C · 2017
Cited alongside, same era.
Current applications and future impact of machine learning in radiology
Choy, G., Khalilzadeh, O., Michalski, M., Do, S., Samir, A. E., Pianykh, O. S., Geis, J. R., Pandharipande, P. V., Brink, J. A., and Dreyer, K. J · 2018
Second opinion needed: Communicating uncertainty in medical machine learning
Kompa, B., Snoek, J., and Beam, A. L · 2021
Later among the works it cites.
Explainable ai: A review of machine learning interpretability methods
Linardatos, P., Papastefanopoulos, V., and Kotsiantis, S · 2021
Later among the works it cites.
A survey on bias and fairness in machine learning
Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., and Galstyan, A · 2021
Later among the works it cites.
Revisiting the calibration of modern neural networks
Minderer, M., Djolonga, J., Romijnders, R., Hubis, F., Zhai, X., Houlsby, N., Tran, D., and Lucic, M · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I · 2021
Later among the works it cites.
Conformal time-series forecasting
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Artificial intelligence and digital pathology: Challenges and opportunities
Tizhoosh, H. R. and Pantanowitz, L · 2018
Cited alongside, same era.
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Barbu, A., Mayo, D., Alverio, J., Luo, W., Wang, C., Gutfreund, D., Tenenbaum, J., and Katz, B · 2019
Cited alongside, same era.
RoBERTa: A robustly optimized BERT pretraining approach
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V · 2019
Cited alongside, same era.
PsychoPy2: Experiments in behavior made easy
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., and Lindeløv, J. K · 2019
Cited alongside, same era.
Pitfalls of in-domain uncertainty estimation and ensembling in deep learning
Ashukha, A., Lyzhov, A., Molchanov, D., and Vetrov, D · 2020
Cited alongside, same era.
GoEmotions: A dataset of fine-grained emotions
Demszky, D., Movshovitz-Attias, D., Ko, J., Cowen, A., Nemade, G., and Ravi, S · 2020
Cited alongside, same era.
Stankeviciute, K., M Alaa, A., and van der Schaar, M · 2021
Later among the works it cites.
Conformal prediction interval for dynamic time-series
Xu, C. and Xie, Y · 2021
Later among the works it cites.
On the Utility of Prediction Sets in Human-AI Teams
Babbar, V., Bhatt, U., and Weller, A · 2022
Later among the works it cites.
A survey of human-in-the-loop for machine learning
Wu, X., Xiao, L., Sun, Y., Zhang, J., Ma, T., and He, L · 2022
Later among the works it cites.
Adaptive conformal predictions for time series
Zaffran, M., Féron, O., Goude, Y., Josse, J., and Dieuleveut, A · 2022
Later among the works it cites.
Spanmarker for named entity recognition, 2023
Aarsen, T · 2023
Later among the works it cites.
Combining human expertise with artificial intelligence: Experimental evidence from radiology
Agarwal, N., Moehring, A., Rajpurkar, P., and Salz, T · 2023
Later among the works it cites.
Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA
Douglas, B. D., Ewell, P. J., and Brauer, M · 2023
Later among the works it cites.
Conformal prediction with large language models for multi-choice question answering
Kumar, B., Lu, C., Gupta, G., Palepu, A., Bellamy, D., Raskar, R., and Beam, A · 2023
Later among the works it cites.
Robots that ask for help: Uncertainty alignment for large language model planners
Ren, A. Z., Dixit, A., Bodrova, A., Singh, S., Tu, S., Brown, N., Xu, P., Takayama, L., Xia, F., Varley, J., Xu, Z., Sadigh, D., Zeng, A., and Majumdar, A · 2023
Later among the works it cites.
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Stein, G., Cresswell, J. C., Hosseinzadeh, R., Sui, Y., Ross, B. L., Villecroze, V., Liu, Z., Caterini, A. L., Taylor, E., and Loaiza-Ganem, G · 2023
Later among the works it cites.
Designing decision support systems using counterfactual prediction sets
Straitouri, E. and Rodriguez, M. G · 2023
Later among the works it cites.
Improving expert predictions with conformal prediction
Straitouri, E., Wang, L., Okati, N., and Gomez Rodriguez, M · 2023
Later among the works it cites.
https://huggingface.co/tomaarsen/span-marker-roberta-large-fewnerd-fine-super, 2024
Aarsen, T · 2024
Closest in time.
https://huggingface.co/samlowe/roberta-base-go_emotions, 2024
Lowe, S · 2024
Closest in time.
https://www.pavlovia.org/, 2024
Pavlovia · 2024
Closest in time.
https://www.prolific.com/, 2024
Prolific · 2024
Closest in time.