Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

[BibT_eX]

[DOI]

Sheng Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enabling Lanuguage Models to Implicitly Learn Self-Improvement.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Multi-Agent Debate with Sparse Communication Topology.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Towards Accurate Differential Diagnosis with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction-Following Evaluation for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Enable Language Models to Implicitly Learn Self-Improvement From Data.

[BibT_eX]

[DOI]

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Few Shot Hematopoietic Cell Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symbol tuning improves in-context learning in language models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large Language Models Can Self-Improve.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Scaling Instruction-Finetuned Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Token Dropping for Efficient BERT Pretraining.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs.

[BibT_eX]

[DOI]

Le Hou

Tomás F. Yago Vicente

Minh Hoai

Dimitris Samaras

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Speeding up Deep Model Training by Sharing Weights and Then Unsharing.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Talking-Heads Attention.

[BibT_eX]

[DOI]

CoRR, 2020

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images.

[BibT_eX]

[DOI]

Luisa F. Escobar-Hoyos

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

High Resolution Medical Image Analysis with Spatial Partitioning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types.

[BibT_eX]

[DOI]

CoRR, 2019

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer.

[BibT_eX]

[DOI]

CoRR, 2019

Label Super Resolution with Inter-Instance Loss.

[BibT_eX]

[DOI]

CoRR, 2019

Label super-resolution networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Robust Histopathology Image Analysis: To Label or to Synthesize?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Exascale Deep Learning to Accelerate Cancer Research.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Unsupervised Histopathology Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2017

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images.

[BibT_eX]

[DOI]

CoRR, 2017

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

ConvNets with Smooth Adaptive Activation Functions for Regression.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks.

[BibT_eX]

[DOI]

Le Hou

Chen-Ping Yu

Dimitris Samaras

CoRR, 2016

Neural Networks with Smooth Adaptive Activation Functions for Regression.

[BibT_eX]

[DOI]

CoRR, 2016

Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples.

[BibT_eX]

[DOI]

Tomás F. Yago Vicente

Proceedings of the Computer Vision - ECCV 2016, 2016

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2015

Le Hou

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