Le Hou
Le Hou
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Scaling instruction-finetuned language models
HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ...
Journal of Machine Learning Research 25 (70), 1-53, 2024
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
L Hou, D Samaras, T Kurc, Y Gao, J Davis, J Saltz
Computer Vision and Pattern Recognition, 2016
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
J Saltz, R Gupta, L Hou, T Kurc, P Singh, V Nguyen, D Samaras, ...
Cell reports 23 (1), 181-193. e7, 2018
Least-to-most prompting enables complex reasoning in large language models
D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, C Cui, ...
arXiv preprint arXiv:2205.10625, 2022
The flan collection: Designing data and methods for effective instruction tuning
S Longpre, L Hou, T Vu, A Webson, HW Chung, Y Tay, D Zhou, QV Le, ...
International Conference on Machine Learning, 22631-22648, 2023
Towards expert-level medical question answering with large language models
K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ...
arXiv preprint arXiv:2305.09617, 2023
Large Language Models Can Self-Improve
J Huang, SS Gu, L Hou, Y Wu, X Wang, H Yu, J Han
arXiv preprint arXiv:2210.11610, 2022
Large-scale training of shadow detectors with noisily-annotated shadow examples
TFY Vicente, L Hou, CP Yu, M Hoai, D Samaras
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Squared Earth Mover’s Distance Loss for Training Deep Neural Networks on Ordered-Classes
L Hou, CP Yu, D Samaras
NIPS workshop Learning on Distributions, Functions, Graphs and Groups, 0
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
L Hou, V Nguyen, AB Kanevsky, D Samaras, TM Kurc, T Zhao, RR Gupta, ...
Pattern recognition 86, 188-200, 2019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
Robust Histopathology Image Analysis: to Label or to Synthesize?
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
Computer Vision and Pattern Recognition (CVPR), 2019
Computer vision and pattern recognition
J Shi, C Tomasi
Proceedings CVPR 94, 593-600, 1994
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
C Robinson, L Hou, K Malkin, R Soobitsky, J Czawlytko, B Dilkina, N Jojic
Computer Vision and Pattern Recognition (CVPR), 2019
Utilizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer
H Le, R Gupta, L Hou, S Abousamra, D Fassler, L Torre-Healy, RA Moffitt, ...
The American journal of pathology 190 (7), 1491-1504, 2020
TensorFlow model garden
H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ...
Model Garden for TensorFlow., 2020
Unsupervised histopathology image synthesis
L Hou, A Agarwal, D Samaras, TM Kurc, RR Gupta, JH Saltz
arXiv preprint arXiv:1712.05021, 2017
Talking-heads attention
N Shazeer, Z Lan, Y Cheng, N Ding, L Hou
arXiv preprint arXiv:2003.02436, 2020
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