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Karan Goel
Karan Goel
Verified email at stanford.edu - Homepage
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Cited by
Cited by
Year
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
25792021
Efficiently modeling long sequences with structured state spaces
A Gu, K Goel, C Ré
arXiv preprint arXiv:2111.00396, 2021
4412021
Combining recurrent, convolutional, and continuous-time models with linear state space layers
A Gu, I Johnson, K Goel, K Saab, T Dao, A Rudra, C Ré
Advances in neural information processing systems 34, 572-585, 2021
1302021
Robustness gym: Unifying the NLP evaluation landscape
K Goel, N Rajani, J Vig, S Tan, J Wu, S Zheng, C Xiong, M Bansal, C Ré
arXiv preprint arXiv:2101.04840, 2021
1192021
It’s raw! audio generation with state-space models
K Goel, A Gu, C Donahue, C Ré
International Conference on Machine Learning, 7616-7633, 2022
1182022
Model patching: Closing the subgroup performance gap with data augmentation
K Goel, A Gu, Y Li, C Ré
arXiv preprint arXiv:2008.06775, 2020
1122020
On the parameterization and initialization of diagonal state space models
A Gu, K Goel, A Gupta, C Ré
Advances in Neural Information Processing Systems 35, 35971-35983, 2022
972022
Mandoline: Model evaluation under distribution shift
M Chen, K Goel, NS Sohoni, F Poms, K Fatahalian, C Ré
International conference on machine learning, 1617-1629, 2021
602021
On the opportunities and risks of foundation models. arXiv 2021
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2023
562023
S4nd: Modeling images and videos as multidimensional signals with state spaces
E Nguyen, K Goel, A Gu, G Downs, P Shah, T Dao, S Baccus, C Ré
Advances in neural information processing systems 35, 2846-2861, 2022
442022
On the opportunities and risks of foundation models (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2022
342022
Managing ml pipelines: feature stores and the coming wave of embedding ecosystems
L Orr, A Sanyal, X Ling, K Goel, M Leszczynski
arXiv preprint arXiv:2108.05053, 2021
212021
Effectively modeling time series with simple discrete state spaces
M Zhang, KK Saab, M Poli, T Dao, K Goel, C Ré
arXiv preprint arXiv:2303.09489, 2023
202023
SummVis: Interactive visual analysis of models, data, and evaluation for text summarization
J Vig, W Kryściński, K Goel, NF Rajani
arXiv preprint arXiv:2104.07605, 2021
182021
Learning procedural abstractions and evaluating discrete latent temporal structure
K Goel, E Brunskill
International Conference on Learning Representations, 2018
132018
Personalized benchmarking with the ludwig benchmarking toolkit
A Narayan, P Molino, K Goel, W Neiswanger, C Re
arXiv preprint arXiv:2111.04260, 2021
122021
S4nd: Modeling images and videos as multidimensional signals using state spaces
E Nguyen, K Goel, A Gu, GW Downs, P Shah, T Dao, SA Baccus, C Ré
arXiv preprint arXiv:2210.06583, 2022
112022
Octopus: A framework for cost-quality-time optimization in crowdsourcing
K Goel, S Rajpal, M Mausam
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017
82017
Sample efficient policy search for optimal stopping domains
K Goel, C Dann, E Brunskill
arXiv preprint arXiv:1702.06238, 2017
82017
Data Management Opportunities for Foundation Models.
LJ Orr, K Goel, C Ré
CIDR, 2022
72022
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