Spremljaj
Sirui Xie
Sirui Xie
Research Scientist, Google DeepMind
Preverjeni e-poštni naslov na google.com - Domača stran
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Leto
SNAS: stochastic neural architecture search
S Xie, H Zheng, C Liu, L Lin
International Conference on Learning Representations (ICLR) 2019, 2018
11482018
DSNAS: Direct Neural Architecture Search without Parameter Retraining
S Hu*, S Xie*, H Zheng, C Liu, J Shi, X Liu, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1732020
Graph-guided Architecture Search for Real-time Semantic Segmentation
P Lin, P Sun, G Cheng, S Xie, X Li, J Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1152019
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
P Yu, S Xie, X Ma, B Jia, B Pang, R Gao, Y Zhu, SC Zhu, YN Wu
International Conference on Machine Learning, 25702-25720, 2022
842022
Unsupervised foreground extraction via deep region competition
P Yu, S Xie, X Ma, Y Zhu, YN Wu, SC Zhu
Advances in Neural Information Processing Systems 34, 14264-14279, 2021
402021
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
C Zhang*, S Xie*, B Jia*, YN Wu, SC Zhu, Y Zhu
17th European Conference on Computer Vision (ECCV 2022), 692--709, 2022
372022
Learning a Decision Module by Imitating Drivers' Control Behaviors
J Huang*, S Xie*, J Sun, Q Ma, C Liu, J Shi, D Lin, B Zhou
4th Conference on Robot Learning (CoRL 2020), 2019
312019
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
S Xie, X Ma, P Yu, Y Zhu, YN Wu, SC Zhu
arXiv preprint arXiv:2102.11344, 2020
222020
Emergent Graphical Conventions in a Visual Communication Game
S Qiu*, S Xie*, L Fan, T Gao, SC Zhu, Y Zhu
Advances in Neural Information Processing Systems 35, 13119--13131, 2022
172022
EM Distillation for One-step Diffusion Models
S Xie, Z Xiao, DP Kingma, T Hou, YN Wu, KP Murphy, T Salimans, ...
arXiv preprint arXiv:2405.16852, 2024
122024
Learning energy-based prior model with diffusion-amortized mcmc
P Yu, Y Zhu, S Xie, XS Ma, R Gao, SC Zhu, YN Wu
Advances in Neural Information Processing Systems 36, 42717-42747, 2023
112023
COAT: Measuring Object Compositionality in Emergent Representations.
S Xie, AS Morcos, SC Zhu, R Vedantam
ICML, 24388-24413, 2022
92022
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
S Xie, J Huang, L Lei, C Liu, Z Ma, W Zhang, L Lin
International Conference on Learning Representations (ICLR) 2019, 2018
92018
Learning non-Markovian decision-making from state-only sequences
A Qin, F Gao, Q Li, SC Zhu, S Xie
Advances in Neural Information Processing Systems 36, 6596-6618, 2023
82023
Understanding the wiring evolution in differentiable neural architecture search
S Xie*, S Hu*, X Wang, C Liu, J Shi, X Liu, D Lin
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
82020
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
D Kong, D Xu, M Zhao, B Pang, J Xie, A Lizarraga, Y Huang, S Xie, ...
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
22024
A Generative Account of Latent Abstractions
S Xie
University of California, Los Angeles, 2024
12024
Scalable Language Models with Posterior Inference of Latent Thought Vectors
D Kong, M Zhao, D Xu, B Pang, S Wang, E Honig, Z Si, C Li, J Xie, S Xie, ...
arXiv preprint arXiv:2502.01567, 2025
2025
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