Pengtao Xie
Orcid: 0000-0003-0521-174X
According to our database1,
Pengtao Xie
authored at least 114 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models.
CoRR, 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.
CoRR, 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.
CoRR, 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization.
CoRR, 2024
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.
CoRR, 2024
CoRR, 2024
2023
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
ACM Trans. Web, August, 2023
Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion.
IEEE Trans. Multim., 2023
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy.
CoRR, 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Trans. Assoc. Comput. Linguistics, 2022
An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding.
Trans. Assoc. Comput. Linguistics, 2022
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading.
CoRR, 2022
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Trans. Assoc. Comput. Linguistics, 2021
Trans. Assoc. Comput. Linguistics, 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search.
CoRR, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
PhD thesis, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records.
CoRR, 2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.
CoRR, 2018
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.
Proceedings of the Machine Learning for Healthcare Conference, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the ACM Symposium on Cloud Computing, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.
CoRR, 2017
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning.
CoRR, 2017
CoRR, 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Improving the Generalization Performance of Multi-class SVM via Angular Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
IEEE Trans. Big Data, 2015
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR, 2015
CoRR, 2015
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.
CoRR, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013