Следене
Zhuang Liu
Zhuang Liu
Research Scientist, FAIR, Meta
Потвърден имейл адрес: berkeley.edu - Начална страница
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Позовавания
Позовавания
Година
Densely Connected Convolutional Networks
Z Liu*, G Huang*, L Maaten, KQ Weinberger
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
52387*2017
A ConvNet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
71892022
Learning Efficient Convolutional Networks through Network Slimming
Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang
International Conference on Computer Vision (ICCV), 2017, 2017
32092017
Deep Networks with Stochastic Depth
G Huang*, Y Sun*, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 2016, 2016
29052016
Rethinking the Value of Network Pruning
Z Liu*, M Sun*, T Zhou, G Huang, T Darrell
International Conference on Learning Representations (ICLR), 2019, 2019
18512019
Few-shot Object Detection via Feature Reweighting
B Kang*, Z Liu*, X Wang, F Yu, J Feng, T Darrell
International Conference on Computer Vision (ICCV), 2019, 2019
9502019
Test-time Training with Self-supervision for Generalization under Distribution Shifts
Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt
International Conference on Machine Learning (ICML), 2020, 2020
9222020
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Z Shen*, Z Liu*, J Li, YG Jiang, Y Chen, X Xue
International Conference on Computer Vision (ICCV), 2017, 2017
907*2017
Imagebind: One Embedding Space to Bind Them All
R Girdhar*, A El-Nouby*, Z Liu, M Singh, KV Alwala, A Joulin, I Misra*
Computer Vision and Pattern Recognition (CVPR), 2023, 2023
901*2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie
Computer Vision and Pattern Recognition (CVPR), 2023, 2023
900*2023
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Y Chen, Z Liu, H Xu, T Darrell, X Wang
International Conference on Computer Vision (ICCV), 2021, 2021
731*2021
A Simple and Effective Pruning Approach for Large Language Models
M Sun*, Z Liu*, A Bair, JZ Kolter
International Conference on Learning Representations (ICLR), 2024, 2024
4572024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
S Tong, Z Liu, Y Zhai, Y Ma, Y LeCun, S Xie
Computer Vision and Pattern Recognition (CVPR), 2024, 2024
2342024
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
J Lambert*, Z Liu*, O Sener, J Hayes, V Koltun
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
2232020
Few Sample Knowledge Distillation for Efficient Network Compression
T Li, J Li, Z Liu, C Zhang
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
1942020
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing
AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022
1382022
Regularization Matters in Policy Optimization--An Empirical Study on Continuous Control
Z Liu*, X Li*, B Kang, T Darrell
International Conference on Learning Representations (ICLR), 2021, 2021
99*2021
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
A Chavan*, Z Shen*, Z Liu, Z Liu, KT Cheng, E Xing
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
832022
One-for-all: Generalized LoRA for Parameter-Efficient Fine-Tuning
A Chavan, Z Liu, D Gupta, E Xing, Z Shen
arXiv preprint arXiv:2306.07967, 2023
822023
Dropout Reduces Underfitting
Z Liu*, Z Xu*, J Jin, Z Shen, T Darrell
International Conference on Machine Learning (ICML), 2023, 2023
612023
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