Seguir
Guanhua Zhang
Guanhua Zhang
Max Planck Institute for Intelligent Systems
Email confirmado em tuebingen.mpg.de - Página inicial
Título
Citado por
Citado por
Ano
Revisiting and advancing fast adversarial training through the lens of bi-level optimization
Y Zhang, G Zhang, P Khanduri, M Hong, S Chang, S Liu
International Conference on Machine Learning, 26693-26712, 2022
642022
Demographics should not be the reason of toxicity: Mitigating discrimination in text classifications with instance weighting
G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao
arXiv preprint arXiv:2004.14088, 2020
632020
Why attentions may not be interpretable?
B Bai, J Liang, G Zhang, H Li, K Bai, F Wang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
422021
Selection bias explorations and debias methods for natural language sentence matching datasets
G Zhang, B Bai, J Liang, K Bai, S Chang, M Yu, C Zhu, T Zhao
arXiv preprint arXiv:1905.06221, 2019
302019
Fairness reprogramming
G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang
Advances in Neural Information Processing Systems 35, 34347-34362, 2022
222022
Towards coherent image inpainting using denoising diffusion implicit models
G Zhang, J Ji, Y Zhang, M Yu, TS Jaakkola, S Chang
182023
Textgrad: Advancing robustness evaluation in nlp by gradient-driven optimization
B Hou, J Jia, Y Zhang, G Zhang, Y Zhang, S Liu, S Chang
arXiv preprint arXiv:2212.09254, 2022
102022
Improving diffusion models for scene text editing with dual encoders
J Ji, G Zhang, Z Wang, B Hou, Z Zhang, B Price, S Chang
arXiv preprint arXiv:2304.05568, 2023
72023
Csrn: collaborative sequential recommendation networks for news retrieval
B Bai, G Zhang, Y Lin, H Li, K Bai, B Luo
arXiv preprint arXiv:2004.04816, 2020
62020
Why is attention not so attentive
B Bai, J Liang, G Zhang, H Li, K Bai, F Wang
arXiv preprint arXiv:2006.05656 3, 2020
52020
Certified robustness for large language models with self-denoising
Z Zhang, G Zhang, B Hou, W Fan, Q Li, S Liu, Y Zhang, S Chang
arXiv preprint arXiv:2307.07171, 2023
32023
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao
arXiv preprint arXiv:1909.04242, 2019
22019
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Y Zhang, R Cai, T Chen, G Zhang, H Zhang, PY Chen, S Chang, Z Wang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 90-101, 2023
12023
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
G Zhang, B Bai, J Liang, K Bai, C Zhu, T Zhao
arXiv preprint arXiv:2010.07676, 2020
12020
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–14