Stebėti
Mozhi Zhang
Mozhi Zhang
University of Maryland
Patvirtintas el. paštas cs.umd.edu
Pavadinimas
Cituota
Cituota
Metai
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka
International Conference on Learning Representations, 2021
3582021
What Can Neural Networks Reason About?
K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka
International Conference on Learning Representations, 2020
2992020
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
K Xu, M Zhang, S Jegelka, K Kawaguchi
International Conference on Machine Learning, 2021
882021
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
M Zhang, K Xu, K Kawarabayashi, S Jegelka, J Boyd-Graber
Association for Computational Linguistics, 2019
542019
How Does a Neural Network’s Architecture Impact Its Robustness to Noisy Labels?
J Li, M Zhang, K Xu, J Dickerson, J Ba
Neural Information Processing Systems, 2021
37*2021
Interactive Refinement of Cross-Lingual Word Embeddings
M Yuan, M Zhang, B Van Durme, L Findlater, J Boyd-Graber
Empirical Methods in Natural Language Processing, 2020
362020
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
M Zhang, Y Fujinuma, MJ Paul, J Boyd-Graber
Association for Computational Linguistics, 2020
192020
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
M Zhang, Y Fujinuma, J Boyd-Graber
Association for the Advancement of Artificial Intelligence, 2020
122020
A Dataset and Baselines for Multilingual Reply Suggestion
M Zhang, W Wang, B Deb, G Zheng, M Shokouhi, AH Awadallah
Association for Computational Linguistics, 2021
82021
Labeled Interactive Topic Models
K Seelman, M Zhang, J Boyd-Graber
arXiv preprint arXiv:2311.09438, 2023
2023
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