Prati
Ce Zhang
Ce Zhang
Together AI; University of Chicago
Potvrđena adresa e-pošte na together.xyz - Početna stranica
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Citirano
Citirano
Godina
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
NIPS, 2017
14412017
Holistic Evaluation of Language Models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
13362022
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
KH Yu, C Zhang, GJ Berry, RB Altman, C Ré, DL Rubin, M Snyder
Nature communications 7 (1), 12474, 2016
10672016
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
D Cao, Y Wang, J Duan, C Zhang, X Zhu, C Huang, Y Tong, B Xu, J Bai, ...
Advances in Neural Information Processing Systems 33, 2020
6442020
Asynchronous Decentralized Parallel Stochastic Gradient Descent
X Lian, W Zhang, C Zhang, J Liu
ICML, 2018
6112018
Towards Efficient Data Valuation Based on the Shapley Value
R Jia, D Dao, B Wang, FA Hubis, M Gurel, N Hynes, B Li, C Zhang, ...
AISTATS, 2019
5382019
D2: Decentralized Training over Decentralized Data
H Tang, X Lian, M Yan, C Zhang, J Liu
ICML, 2018
4282018
Advances, challenges and opportunities in creating data for trustworthy AI
W Liang, GA Tadesse, D Ho, L Fei-Fei, M Zaharia, C Zhang, J Zou
Nature Machine Intelligence 4 (8), 669-677, 2022
4032022
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Y Sheng, L Zheng, B Yuan, Z Li, M Ryabinin, B Chen, P Liang, C Re, ...
ICML, 2023
3742023
Communication compression for decentralized training
H Tang, S Gan, C Zhang, T Zhang, J Liu
Advances in Neural Information Processing Systems 31, 7652-7662, 2018
3362018
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
3142015
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
K Schawinski, C Zhang, H Zhang, L Fowler, GK Santhanam
Monthly Notices of the Royal Astronomical Society: Letters 467 (1), L110-L114, 2017
3132017
Deja vu: Contextual sparsity for efficient llms at inference time
Z Liu, W Jue, T Dao, T Zhou, B Yuan, Z Song, A Shrivastava, C Zhang, ...
ICML, 2023
2862023
Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression
H Tang, C Yu, X Lian, T Zhang, J Liu
International Conference on Machine Learning, 6155-6165, 2019
2832019
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference.
F Niu, C Zhang, C Ré, JW Shavlik
VLDS 12, 25-28, 2012
2742012
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ...
VLDB, 2019
2652019
ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning
H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang
International Conference on Machine Learning, 4035-4043, 2017
256*2017
A principled approach to data valuation for federated learning
T Wang, J Rausch, C Zhang, R Jia, D Song
Federated Learning: Privacy and Incentive, 153-167, 2020
2402020
Heterogeneity-Aware Distributed Parameter Servers
J Jiang, B Cui, C Zhang, LYHAD Parameter
2017 ACM International Conference on Management of Data (SIGMOD) 10 (3035918 …, 2017
2352017
DL2: Training and Querying Neural Networks with Logic
M Fischer, M Balunovic, D Drachsler-Cohen, T Gehr, C Zhang, M Vechev
ICML, 2019
2212019
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