Artigos com autorizações de acesso público - Christopher De SaSaiba mais
Não disponível em nenhum local: 1
Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems
AF Cooper, K Levy, C De Sa
Available at SSRN 3650497, 2020
Autorizações: John D. and Catherine T. MacArthur Foundation
Disponíveis em algum local: 57
Data programming: Creating large training sets, quickly
AJ Ratner, CM De Sa, S Wu, D Selsam, C Ré
Advances in neural information processing systems 29, 2016
Autorizações: US National Science Foundation, US Department of Energy, US National …
Representation tradeoffs for hyperbolic embeddings
F Sala, C De Sa, A Gu, C Ré
International conference on machine learning, 4460-4469, 2018
Autorizações: US Department of Energy, US Department of Defense, US National Institutes of …
Improving neural network quantization without retraining using outlier channel splitting
R Zhao, Y Hu, J Dotzel, C De Sa, Z Zhang
International conference on machine learning, 7543-7552, 2019
Autorizações: US Department of Defense
Incremental knowledge base construction using deepdive
J Shin, S Wu, F Wang, C De Sa, C Zhang, C Ré
Proceedings of the VLDB Endowment International Conference on Very Large …, 2015
Autorizações: US National Institutes of Health
A kernel theory of modern data augmentation
T Dao, A Gu, A Ratner, V Smith, C De Sa, C Ré
International conference on machine learning, 1528-1537, 2019
Autorizações: US National Science Foundation, US Department of Defense, US National …
Channel gating neural networks
W Hua, Y Zhou, CM De Sa, Z Zhang, GE Suh
Advances in Neural Information Processing Systems, 1884-1894, 2019
Autorizações: US National Science Foundation, US Department of Defense
Taming the wild: A unified analysis of hogwild-style algorithms
CM De Sa, C Zhang, K Olukotun, C Ré
Advances in neural information processing systems 28, 2015
Autorizações: US Department of Energy, US National Institutes of Health
Global convergence of stochastic gradient descent for some non-convex matrix problems
C De Sa, C Re, K Olukotun
International conference on machine learning, 2332-2341, 2015
Autorizações: US Department of Energy, US National Institutes of Health
Understanding and optimizing asynchronous low-precision stochastic gradient descent
C De Sa, M Feldman, C Ré, K Olukotun
Proceedings of the 44th annual international symposium on computer …, 2017
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Quip: 2-bit quantization of large language models with guarantees
J Chee, Y Cai, V Kuleshov, CM De Sa
Advances in Neural Information Processing Systems 36, 4396-4429, 2023
Autorizações: US National Science Foundation, US National Institutes of Health
Deepdive: Declarative knowledge base construction
C De Sa, A Ratner, C Ré, J Shin, F Wang, S Wu, C Zhang
ACM SIGMOD Record 45 (1), 60-67, 2016
Autorizações: US National Science Foundation, US National Institutes of Health
Swalp: Stochastic weight averaging in low precision training
G Yang, T Zhang, P Kirichenko, J Bai, AG Wilson, C De Sa
International Conference on Machine Learning, 7015-7024, 2019
Autorizações: US National Science Foundation
Generating configurable hardware from parallel patterns
R Prabhakar, D Koeplinger, KJ Brown, HJ Lee, C De Sa, C Kozyrakis, ...
Acm Sigplan Notices 51 (4), 651-665, 2016
Autorizações: US National Science Foundation, US Department of Energy
Accelerated stochastic power iteration
P Xu, B He, C De Sa, I Mitliagkas, C Re
International Conference on Artificial Intelligence and Statistics, 58-67, 2018
Autorizações: US National Science Foundation, US Department of Defense, US National …
DeepDive: Declarative knowledge base construction
C Zhang, C Ré, M Cafarella, C De Sa, A Ratner, J Shin, F Wang, S Wu
Communications of the ACM 60 (5), 93-102, 2017
Autorizações: US National Science Foundation, US Department of Defense, US National …
Neural manifold ordinary differential equations
A Lou, D Lim, I Katsman, L Huang, Q Jiang, SN Lim, CM De Sa
Advances in Neural Information Processing Systems 33, 17548-17558, 2020
Autorizações: US National Science Foundation
Optimal complexity in decentralized training
Y Lu, C De Sa
International conference on machine learning, 7111-7123, 2021
Autorizações: US National Science Foundation
Gaussian quadrature for kernel features
T Dao, CM De Sa, C Ré
Advances in neural information processing systems 30, 2017
Autorizações: US National Science Foundation, US Department of Energy, US Department of …
Have abstraction and eat performance, too: Optimized heterogeneous computing with parallel patterns
KJ Brown, HJ Lee, T Rompf, AK Sujeeth, C De Sa, C Aberger, K Olukotun
Proceedings of the 2016 International Symposium on Code Generation and …, 2016
Autorizações: US National Science Foundation, US Department of Energy
As informações de publicação e financiamento são determinadas automaticamente por um programa informático.