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Hong-You Chen

According to our database¹, Hong-You Chen authored at least 19 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.

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Tanya Y. Berger-Wolf

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Charles V. Stewart

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CoRR, 2024

2023

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.

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CoRR, 2023

Making Batch Normalization Great in Federated Deep Learning.

[BibT_eX]

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CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.

[BibT_eX]

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Tanya Y. Berger-Wolf

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Charles V. Stewart

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

On the Importance and Applicability of Pre-Training for Federated Learning.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Train-Once-for-All Personalization.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Fractals by Gradient Descent.

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

2022

On Pre-Training for Federated Learning.

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CoRR, 2022

On Bridging Generic and Personalized Federated Learning for Image Classification.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

On Bridging Generic and Personalized Federated Learning.

[BibT_eX]

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CoRR, 2021

Gradual Domain Adaptation without Indexed Intermediate Domains.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.

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Proceedings of the 9th International Conference on Learning Representations, 2021

2020

FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning.

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CoRR, 2020

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.

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CoRR, 2020

Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Self-Discriminative Learning for Unsupervised Document Embedding.

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Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Nested Variance Estimating VAE/GAN for Face Generation.

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[DOI]

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Proceedings of the International Joint Conference on Neural Networks, 2019

Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings.

[BibT_eX]

[DOI]

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Cheng-Syuan Lee

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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