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Jie Ren
Jie Ren
KAUST; ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Sawtooth factorial topic embeddings guided gamma belief network
Z Duan, D Wang, B Chen, C Wang, W Chen, Y Li, J Ren, M Zhou
International Conference on Machine Learning, 2903-2913, 2021
302021
Probabilistic mixture-of-experts for efficient deep reinforcement learning
J Ren, Y Li, Z Ding, W Pan, H Dong
arXiv preprint arXiv:2104.09122, 2021
122021
MegBA: A GPU-based distributed library for large-scale bundle adjustment
J Ren, W Liang, R Yan, L Mai, S Liu, X Liu
European Conference on Computer Vision, 715-731, 2022
92022
Torchopt: An efficient library for differentiable optimization
J Ren, X Feng, B Liu, X Pan, Y Fu, L Mai, Y Yang
Journal of Machine Learning Research 24 (367), 1-14, 2023
72023
A theoretical understanding of gradient bias in meta-reinforcement learning
B Liu, X Feng, J Ren, L Mai, R Zhu, H Zhang, J Wang, Y Yang
Advances in Neural Information Processing Systems 35, 31059-31072, 2022
72022
Pluralistic image completion with gaussian mixture models
X Xia, W Yang, J Ren, Y Li, Y Zhan, B Han, T Liu
Advances in Neural Information Processing Systems 35, 24087-24100, 2022
6*2022
Towards end-to-end 4-bit inference on generative large language models
S Ashkboos, I Markov, E Frantar, T Zhong, X Wang, J Ren, T Hoefler, ...
arXiv preprint arXiv:2310.09259, 2023
52023
Multi-scale visual attention for attribute disambiguation in zero-shot learning
L Tian, B Chen, J Ren, H Zhang, Z Wu, N Han, Y Chen, H Liu
Signal Processing: Image Communication 103, 116614, 2022
12022
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Articles 1–8