Zechun Liu
Zechun Liu
Meta Reality Labs
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
" 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
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
Joint multi-dimension pruning via numerical gradient update
Z Liu, X Zhang, Z Shen, Y Wei, KT Cheng, J Sun
IEEE Transactions on Image Processing 30, 8034-8045, 2021
Sdq: Stochastic differentiable quantization with mixed precision
X Huang, Z Shen, S Li, Z Liu, H Xianghong, J Wicaksana, E Xing, ...
International Conference on Machine Learning, 9295-9309, 2022
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