Pengtao Xie

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.

[BibT_eX]

[DOI]

Mingjia Huo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification.

[BibT_eX]

[DOI]

Jay Gala

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

[BibT_eX]

[DOI]

ACM Trans. Web, August, 2023

Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Making Scalable Meta Learning Practical.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Fair and Accurate Decision Making through Group-Aware Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Improving Differentiable Neural Architecture Search by Encouraging Transferability.

[BibT_eX]

[DOI]

Parth Sheth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Betty: An Automatic Differentiation Library for Multilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.

[BibT_eX]

[DOI]

Duy M. H. Nguyen

Hoang Nguyen

Truong Thanh Nhat Mai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-directed machine learning.

[BibT_eX]

[DOI]

Wenwu Zhu

Xin Wang

AI Open, January, 2022

A Multi-Level Optimization Framework for End-to-End Text Augmentation.

[BibT_eX]

[DOI]

Linfeng Song

Trans. Assoc. Comput. Linguistics, 2022

An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding.

[BibT_eX]

[DOI]

Hongchao Fang

Trans. Assoc. Comput. Linguistics, 2022

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading.

[BibT_eX]

[DOI]

Hasan Md Tusfiqur Alam

Duy M. H. Nguyen

Mai Thanh Nhat Truong

Triet A. Nguyen

Binh T. Nguyen

Michael Barz

Hans-Jürgen Profitlich

CoRR, 2022

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

[BibT_eX]

[DOI]

CoRR, 2022

Saliency-Aware Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Image Understanding by Captioning with Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Graph Neural Architecture Search Under Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

EViT: Expediting Vision Transformers via Token Reorganizations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Learning from Mistakes - a Framework for Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-supervised Regularization for Text Classification.

[BibT_eX]

[DOI]

Meng Zhou

Zechen Li

Trans. Assoc. Comput. Linguistics, 2021

Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

Jay Gala

CoRR, 2021

Improving Differentiable Architecture Search with a Generative Model.

[BibT_eX]

[DOI]

Ruisi Zhang

Youwei Liang

CoRR, 2021

Learning by Examples Based on Multi-level Optimization.

[BibT_eX]

[DOI]

Shentong Mo

CoRR, 2021

Interleaving Learning, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

Hao Ban

CoRR, 2021

Learning by Teaching, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

Parth Sheth

Yueyu Jiang

CoRR, 2021

DSRNA: Differentiable Search of Robust Neural Architectures.

[BibT_eX]

[DOI]

Xingyi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On the Generation of Medical Dialogs for COVID-19.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Towards Visual Question Answering on Pathology Images.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Self-supervised Learning for Graph Classification.

[BibT_eX]

[DOI]

Jiaqi Zeng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning by Ignoring.

[BibT_eX]

[DOI]

Xingchen Zhao

CoRR, 2020

Learning by Self-Explanation, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Small-Group Learning, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Validate and Enable Machine Learning in Industrial AI.

[BibT_eX]

[DOI]

CoRR, 2020

Skillearn: Machine Learning Inspired by Humans' Learning Skills.

[BibT_eX]

[DOI]

Hao Ban

CoRR, 2020

Learning by Passing Tests, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Pathological Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications.

[BibT_eX]

[DOI]

Yue Yang

CoRR, 2020

TreeGAN: Incorporating Class Hierarchy into Image Generation.

[BibT_eX]

[DOI]

Ruisi Zhang

Luntian Mou

CoRR, 2020

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially-private Federated Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports.

[BibT_eX]

[DOI]

CoRR, 2020

CERT: Contrastive Self-supervised Learning for Language Understanding.

[BibT_eX]

[DOI]

Hongchao Fang

CoRR, 2020

On the Generation of Medical Dialogues for COVID-19.

[BibT_eX]

[DOI]

CoRR, 2020

MedDialog: A Large-scale Medical Dialogue Dataset.

[BibT_eX]

[DOI]

CoRR, 2020

Identifying Radiological Findings Related to COVID-19 from Medical Literature.

[BibT_eX]

[DOI]

Yuxiao Liang

CoRR, 2020

COVID-CT-Dataset: A CT Scan Dataset about COVID-19.

[BibT_eX]

[DOI]

CoRR, 2020

PathVQA: 30000+ Questions for Medical Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Generalized Zero-Shot Text Classification for ICD Coding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MedDialog: Large-scale Medical Dialogue Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial Domain Adaptation Being Aware of Class Relationships.

[BibT_eX]

[DOI]

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

Diversity-Promoting and Large-Scale Machine Learning for Healthcare.

[BibT_eX]

[DOI]

PhD thesis, 2019

Generalized Zero-shot ICD Coding.

[BibT_eX]

[DOI]

CoRR, 2019

Explaining a black-box using Deep Variational Information Bottleneck Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multimodal Machine Learning for Automated ICD Coding.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2019

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records.

[BibT_eX]

[DOI]

CoRR, 2018

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures.

[BibT_eX]

[DOI]

CoRR, 2018

Missing Value Imputation Based on Deep Generative Models.

[BibT_eX]

[DOI]

Hongbao Zhang

CoRR, 2018

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.

[BibT_eX]

[DOI]

Devendra Singh Sachan

Mrinmaya Sachan

Proceedings of the Machine Learning for Healthcare Conference, 2018

Nonoverlap-Promoting Variable Selection.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2018

On the Automatic Generation of Medical Imaging Reports.

[BibT_eX]

[DOI]

Baoyu Jing

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Neural Architecture for Automated ICD Coding.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Convolutional Neural Networks for Medical Diagnosis from Admission Notes.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Less-Overlapping Representations.

[BibT_eX]

[DOI]

Hongbao Zhang

CoRR, 2017

Stacked Kernel Network.

[BibT_eX]

[DOI]

CoRR, 2017

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.

[BibT_eX]

[DOI]

Devendra Singh Sachan

CoRR, 2017

Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Automated ICD Coding Using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Predicting Discharge Medications at Admission Time Based on Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Near-Orthogonality Regularization in Kernel Methods.

[BibT_eX]

[DOI]

Barnabás Póczos

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Improving the Generalization Performance of Multi-class SVM via Angular Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.

[BibT_eX]

[DOI]

Aarti Singh

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Latent Space Models with Angular Constraints.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Determinantal Point Process for Large-Scale Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

A Constituent-Centric Neural Architecture for Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Diversity-Promoting Bayesian Learning of Latent Variable Models.

[BibT_eX]

[DOI]

Jun Zhu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.

[BibT_eX]

[DOI]

CoRR, 2015

Strategies and Principles of Distributed Machine Learning on Big Data.

[BibT_eX]

[DOI]

CoRR, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

CoRR, 2015

Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization.

[BibT_eX]

[DOI]

Yuntian Deng

CoRR, 2015

On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.

[BibT_eX]

[DOI]

Yuntian Deng

CoRR, 2015

Learning Compact and Effective Distance Metrics with Diversity Regularization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Incorporating Word Correlation Knowledge into Topic Modeling.

[BibT_eX]

[DOI]

Diyi Yang

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

Diversifying Restricted Boltzmann Machine for Document Modeling.

[BibT_eX]

[DOI]

Yuntian Deng

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Integrating Image Clustering and Codebook Learning.

[BibT_eX]

[DOI]