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Disambiguation of "Chang, Haw-Shiuan"

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Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions

, and . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 8048--8073. Dublin, Ireland, Association for Computational Linguistics, (May 2022)
DOI: 10.18653/v1/2022.acl-long.554

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Ming-Haw Jing

Haw-Jing Lo

Hassan Mohamed Haw

Fu-Chang Chang

Sheng-Chia Chang

William Ockham's view on human capability. Uni Frankfurt Main, (2009)
 

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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks., , , , , , , , , and 1 other author(s). CoRR, (2019)Optimizing the decomposition for multiple foreground cosegmentation., and . Comput. Vis. Image Underst., (2015)To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders., , and . WSDM, page 67-76. ACM, (2024)Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings., , , , , , and . TextGraphs@NAACL-HLT, page 38-48. Association for Computational Linguistics, (2018)Using error decay prediction to overcome practical issues of deep active learning for named entity recognition., , , , and . Mach. Learn., 109 (9-10): 1749-1778 (2020)Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens., , and . CoRR, (2023)Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition., , , , and . CoRR, (2019)Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema., , , , , , , , , and . TAC, NIST, (2016)Superpixel-based large displacement optical flow., and . ICIP, page 3835-3839. IEEE, (2013)Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection., , , and . NAACL-HLT, page 485-495. Association for Computational Linguistics, (2018)