On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation
- Wei Zhang
- Ziming Huang
- et al.
- 2021
- ACL-IJCNLP 2021
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87 results for Xiaodong Cui
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- Mingrui Liu
- Wei Zhang
- et al.
- 2020
- NeurIPS 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- Xiao Sun
- Naigang Wang
- et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
- Mingrui Liu
- Youssef Mroueh
- et al.
- 2020
- ICLR 2020
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks
- Xiao Sun
- Jungwook Choi
- et al.
- 2019
- NeurIPS 2019
Evolutionary stochastic gradient descent for optimization of deep neural networks
- Xiaodong Cui
- Wei Zhang
- et al.
- 2018
- NeurIPS 2018