Следене
Wenhan Xia
Заглавие
Позовавания
Позовавания
Година
Data augmentation using llms: Data perspectives, learning paradigms and challenges
B Ding, C Qin, R Zhao, T Luo, X Li, G Chen, W Xia, J Hu, AT Luu, S Joty
ACL 2024, 2024
752024
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
W Xia, C Qin, E Hazan
ICML 2024 Workshop LLMs and Cognition, 2024
61*2024
Fully dynamic inference with deep neural networks
W Xia, H Yin, X Dai, NK Jha
IEEE Transactions on Emerging Topics in Computing 10 (2), 962-972, 2021
472021
Machine Learning for Mechanical Ventilation Control
D Suo, N Agarwal, W Xia, X Chen, U Ghai, A Yu, P Gradu, K Singh, ...
Machine Learning for Health (ML4H) 2021, 2021
172021
Language models as science tutors
A Chevalier, J Geng, A Wettig, H Chen, S Mizera, T Annala, MJ Aragon, ...
ICML 2024, 2024
132024
Online nonstochastic model-free reinforcement learning
U Ghai, A Gupta, W Xia, K Singh, E Hazan
Advances in Neural Information Processing Systems 36, 23362-23388, 2023
112023
Adaptive Gradient Methods with Local Guarantees
Z Lu*, W Xia*, S Arora, E Hazan
Conference on Automated Machine Learning (AutoML) 2022 (*equal contribution), 2022
112022
Data augmentation using large language models: Data perspectives, learning paradigms and challenges
B Ding, C Qin, R Zhao, T Luo, X Li, G Chen, W Xia, J Hu, AT Luu, S Joty
arXiv preprint arXiv:2403.02990, 2024
72024
Efficient synthesis of compact deep neural networks
W Xia, H Yin, NK Jha
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
62020
Improving in-context learning via bidirectional alignment
C Qin*, W Xia*, F Jiao, S Joty
arXiv preprint arXiv:2312.17055 (*equal contribution), 2023
42023
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
C Qin, W Xia, T Wang, F Jiao, Y Hu, B Ding, R Chen, S Joty
arXiv preprint arXiv:2404.12728, 2024
32024
Online learning for obstacle avoidance
D Snyder, M Booker, N Simon, W Xia, D Suo, E Hazan, A Majumdar
Conference on Robot Learning, 2926-2954, 2023
32023
Lifelong Event Detection with Embedding Space Separation and Compaction
C Qin, R Chen, R Zhao, W Xia, S Joty
NAACL 2024, 2024
12024
Methods for Efficient and Scalable Deep Learning
W Xia
Princeton University, 2024
2024
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