Up a level |
Huang, T, Yin, L, Zhang, Z, Shen, L, Fang, M ORCID: 0000-0001-6745-286X, Pechenizkiy, M, Wang, Z and Liu, S
(2023)
Are Large Kernels Better Teachers than Transformers for ConvNets?
In: The Fortieth International Conference on Machine Learning, Hawaii Convention Center.
Zhao, J, Fang, M ORCID: 0000-0001-6745-286X, Shi, Z, Li, Y, Chen, L and Pechenizkiy, M
(2023)
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
In: The 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada.
Zhang, Q, Liu, J, Yan, J and Fang, M
(2016)
The Modelling of an SF6 Arc in a Supersonic Nozzle: II. Current Zero Behaviour of the Nozzle Arc.
Journal of Physics D: Applied Physics.
Ni'Mah, I, Fang, M ORCID: 0000-0001-6745-286X, Menkovski, V and Pechenizkiy, M
(2023)
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.
In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023-7-9 - ?, Toronto, Canada.
Yang, R, Lu, Y, Li, W, Sun, H, Fang, M ORCID: 0000-0001-6745-286X, Du, Y, Li, X, Han, L and Zhang, C
(2022)
RETHINKING GOAL-CONDITIONED SUPERVISED LEARNING AND ITS CONNECTION TO OFFLINE RL.
.
Zhang, Q, Chen, S, Xu, D, Cao, Q, Chen, X, Cohn, T and Fang, M ORCID: 0000-0001-6745-286X
(2023)
A Survey for Efficient Open Domain Question Answering.
In: The 61st Annual Meeting of the Association for Computational Linguistics, 2023-7-9 - ?.
Cao, Y, Li, D, Fang, M ORCID: 0000-0001-6745-286X, Zhou, T, Gao, J, Zhan, Y and Tao, D
(2022)
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
.
Huang, T, Chen, T, Fang, M ORCID: 0000-0001-6745-286X, Menkovski, V, Zhao, J, Yin, L, Pei, Y, Mocanu, DC, Wang, Z, Pechenizkiy, M et al (show 1 more authors)
(2022)
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
.