Články se zplnomocněním k veřejnému přístupu - Carlos GuestrinDalší informace
Dostupné někde: 19
Xgboost: A scalable tree boosting system
T Chen, C Guestrin
Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016
Zplnomocnění: US National Science Foundation
Anchors: High-precision model-agnostic explanations
MT Ribeiro, S Singh, C Guestrin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Zplnomocnění: US Department of Defense
{TVM}: An automated {End-to-End} optimizing compiler for deep learning
T Chen, T Moreau, Z Jiang, L Zheng, E Yan, H Shen, M Cowan, L Wang, ...
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
Zplnomocnění: US National Science Foundation, US Department of Defense
Semantically equivalent adversarial rules for debugging NLP models
MT Ribeiro, S Singh, C Guestrin
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Zplnomocnění: US National Science Foundation, US Department of Defense
Learning to optimize tensor programs
T Chen, L Zheng, E Yan, Z Jiang, T Moreau, L Ceze, C Guestrin, ...
Advances in Neural Information Processing Systems 31, 2018
Zplnomocnění: US National Science Foundation, US Department of Defense
Alpacafarm: A simulation framework for methods that learn from human feedback
Y Dubois, CX Li, R Taori, T Zhang, I Gulrajani, J Ba, C Guestrin, PS Liang, ...
Advances in Neural Information Processing Systems 36, 2024
Zplnomocnění: US National Science Foundation
Over-optimization of academic publishing metrics: observing Goodhart’s Law in action
M Fire, C Guestrin
GigaScience 8 (6), giz053, 2019
Zplnomocnění: Gordon and Betty Moore Foundation
TVM: end-to-end optimization stack for deep learning
T Chen, T Moreau, Z Jiang, H Shen, EQ Yan, L Wang, Y Hu, L Ceze, ...
arXiv preprint arXiv:1802.04799 11 (2018), 20, 2018
Zplnomocnění: US National Science Foundation
A hardware–software blueprint for flexible deep learning specialization
T Moreau, T Chen, L Vega, J Roesch, E Yan, L Zheng, J Fromm, Z Jiang, ...
IEEE Micro 39 (5), 8-16, 2019
Zplnomocnění: US National Science Foundation, US Department of Defense
Are red roses red? evaluating consistency of question-answering models
MT Ribeiro, C Guestrin, S Singh
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Zplnomocnění: US National Science Foundation
Beyond confidence: Reliable models should also consider atypicality
M Yuksekgonul, L Zhang, JY Zou, C Guestrin
Advances in Neural Information Processing Systems 36, 2024
Zplnomocnění: US National Science Foundation, Chan Zuckerberg Initiative
Stingycd: Safely avoiding wasteful updates in coordinate descent
TB Johnson, C Guestrin
International Conference on Machine Learning, 1752-1760, 2017
Zplnomocnění: US National Science Foundation
The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time
M Fire, C Guestrin
Information Processing & Management 57 (2), 102041, 2020
Zplnomocnění: Gordon and Betty Moore Foundation
Disparities in hemoglobin A1c levels in the first year after diagnosis among youths with type 1 diabetes offered continuous glucose monitoring
A Addala, V Ding, DP Zaharieva, FK Bishop, AS Adams, AC King, ...
JAMA Network Open 6 (4), e238881-e238881, 2023
Zplnomocnění: US National Institutes of Health
Unified methods for exploiting piecewise linear structure in convex optimization
TB Johnson, C Guestrin
Advances in Neural Information Processing Systems 29, 2016
Zplnomocnění: US National Science Foundation
Unifying corroborative and contributive attributions in large language models
T Worledge, JH Shen, N Meister, C Winston, C Guestrin
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 665-683, 2024
Zplnomocnění: Chan Zuckerberg Initiative
Patient-specific explanations for predictions of clinical outcomes
M Tajgardoon, MJ Samayamuthu, L Calzoni, S Visweswaran
ACI open 3 (02), e88-e97, 2019
Zplnomocnění: US National Institutes of Health
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014.
I Cano, S Singh, C Guestrin
TREC, 2014
Zplnomocnění: Government of Argentina
Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: keys to implementation and opportunities
DP Zaharieva, R Senanayake, C Brown, B Watkins, G Loving, P Prahalad, ...
Frontiers in Endocrinology 13, 1096325, 2023
Zplnomocnění: US National Science Foundation, US Department of Defense, US National …
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