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Zechun Liu
Zechun Liu
Meta Reality Labs
Подтвержден адрес электронной почты в домене andrew.cmu.edu - Главная страница
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Процитировано
Год
Single path one-shot neural architecture search with uniform sampling
Z Guo, X Zhang, H Mu, W Heng, Z Liu, Y Wei, J Sun
Computer vision–ECCV 2020: 16th European conference, glasgow, UK, August 23 …, 2020
10912020
Metapruning: Meta learning for automatic neural network channel pruning
Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
705*2019
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng
Proceedings of the European conference on computer vision (ECCV), 722-737, 2018
6802018
Minigpt-v2: large language model as a unified interface for vision-language multi-task learning
J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang, R Krishnamoorthi, ...
arXiv preprint arXiv:2310.09478, 2023
5462023
Reactnet: Towards precise binary neural network with generalized activation functions
Z Liu, Z Shen, M Savvides, KT Cheng
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
4222020
Llm-qat: Data-free quantization aware training for large language models
Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ...
arXiv preprint arXiv:2305.17888, 2023
2352023
Partial is better than all: Revisiting fine-tuning strategy for few-shot learning
Z Shen, Z Liu, J Qin, M Savvides, KT Cheng
Proceedings of the AAAI conference on artificial intelligence 35 (11), 9594-9602, 2021
1812021
Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification
D Walawalkar, Z Shen, Z Liu, M Savvides
arXiv preprint arXiv:2003.13048, 2020
1652020
Latent weights do not exist: Rethinking binarized neural network optimization
K Helwegen, J Widdicombe, L Geiger, Z Liu, KT Cheng, R Nusselder
Conference on Neural Information Processing Systems (NIPS 2019), 2019
1472019
Un-mix: Rethinking image mixtures for unsupervised visual representation learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2216-2224, 2022
1352022
Bi-real net: Binarizing deep network towards real-network performance
Z Liu, W Luo, B Wu, X Yang, W Liu, KT Cheng
International Journal of Computer Vision 128, 202-219, 2020
1112020
Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation
Z Liu, KT Cheng, D Huang, EP Xing, Z Shen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1062022
How Do Adam and Training Strategies Help BNNs Optimization?
Z Liu, Z Shen, S Li, K Helwegen, D Huang, KT Cheng
International Conference on Machine Learning (ICML 2021), 2021
1052021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Z Shen, Z Liu, D Xu, Z Chen, KT Cheng, M Savvides
International Conference on Learning Representations (ICLR), 2021, 2021
972021
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
A Chavan, Z Shen, Z Liu, Z Liu, KT Cheng, E Xing
arXiv preprint arXiv:2201.00814, 2022
842022
Mobilellm: Optimizing sub-billion parameter language models for on-device use cases
Z Liu, C Zhao, F Iandola, C Lai, Y Tian, I Fedorov, Y Xiong, E Chang, ...
Forty-first International Conference on Machine Learning, 2024
772024
Bit: Robustly binarized multi-distilled transformer
Z Liu, B Oguz, A Pappu, L Xiao, S Yih, M Li, R Krishnamoorthi, Y Mehdad
NeurIPS 2022, 2022
622022
Binarizing mobilenet via evolution-based searching
H Phan, Z Liu, D Huynh, M Savvides, KT Cheng, Z Shen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
602020
" BNN-BN=?": Training Binary Neural Networks Without Batch Normalization
T Chen, Z Zhang, X Ouyang, Z Liu, Z Shen, Z Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
562021
An introduction to vision-language modeling
F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...
arXiv preprint arXiv:2405.17247, 2024
542024
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