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Xinshuai Dong
Xinshuai Dong
Bestätigte E-Mail-Adresse bei cmu.edu
Titel
Zitiert von
Zitiert von
Jahr
Towards Robustness Against Natural Language Word Substitutions
X Dong, AT Luu, R Ji, H Liu
International Conference on Learning Representations, 2021
1182021
How should pre-trained language models be fine-tuned towards adversarial robustness?
X Dong, AT Luu, M Lin, S Yan, H Zhang
Advances in Neural Information Processing Systems, 2021
522021
Certified Robustness Against Natural Language Attacks by Causal Intervention
H Zhao*, C Ma*, X Dong*, AT Luu, ZH Deng, H Zhang
International Conference on Machine Learning, 2022
292022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
X Wu, AT Luu, X Dong
Empirical Methods in Natural Language Processing, 2022
252022
Effective Neural Topic Modeling with Embedding Clustering Regularization
X Wu, X Dong, TT Nguyen, AT Luu
International Conference on Machine Learning, 2023
202023
InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling
X Wu, X Dong, T Nguyen, C Liu, LM Pan, AT Luu
AAAI Conference on Artificial Intelligence, 2023
102023
Api-net: Robust generative classifier via a single discriminator
X Dong, H Liu, R Ji, L Cao, Q Ye, J Liu, Q Tian
European Conference on Computer Vision, 2020
92020
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
X Dong, B Huang, I Ng, X Song, Y Zheng, S Jin, R Legaspi, P Spirtes, ...
International Conference on Learning Representations, 2024
72024
Temporally Disentangled Representation Learning under Unknown Nonstationarity
X Song, W Yao, Y Fan, X Dong, G Chen, JC Niebles, E Xing, K Zhang
Advances in Neural Information Processing Systems, 2023
72023
Topic modeling as multi-objective optimization with Setwise Contrastive Learning
TT Nguyen, X Wu, X Dong, CDT Nguyen, SK Ng, AT Luu
International Conference on Learning Representations, 2024
32024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
S Jin, F Xie, G Chen, B Huang, Z Chen, X Dong, K Zhang
International Conference on Learning Representations, 2024
32024
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
TT Nguyen, X Wu, X Dong, CDT Nguyen, Z Hai, L Bing, AT Luu
ACL Findings, 2023
32023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
T Nguyen, X Wu, X Dong, CD Nguyen, SK Ng, A Luu
Findings of the Association for Computational Linguistics: EMNLP 2023, 3635-3649, 2023
22023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
T Nguyen, X Wu, X Dong, K Le, Z Hu, CD Nguyen, SK Ng, LA Tuan
AAAI Conference on Artificial Intelligence, 2024
12024
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
I Ng, Y Zheng, X Dong, K Zhang
Advances in Neural Information Processing Systems, 2023
12023
Adversarial attacks and defenses in natural language processing
X Dong
Nanyang Technological University, 2022
12022
Causal Temporal Representation Learning with Nonstationary Sparse Transition
X Song, Z Li, G Chen, Y Zheng, Y Fan, X Dong, K Zhang
arXiv preprint arXiv:2409.03142, 2024
2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
X Dong, I Ng, B Huang, Y Sun, S Jin, R Legaspi, P Spirtes, K Zhang
arXiv preprint arXiv:2407.16975, 2024
2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
X Wu, X Dong, L Pan, T Nguyen, AT Luu
arXiv preprint arXiv:2405.17957, 2024
2024
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome
D Zeng, RS Legaspi, Y Sun, X Dong, K Ikeda, P Spirtes, K Zhang
International Conference on Persuasive Technology, 287-300, 2024
2024
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