Le Hou
Orcid: 0000-0001-7323-5300
According to our database1,
Le Hou
authored at least 47 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.
CoRR, 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
CoRR, 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
CoRR, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types.
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images.
Pattern Recognit., 2019
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types.
CoRR, 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer.
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images.
CoRR, 2017
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
CoRR, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification.
CoRR, 2015