Garrett Bingham

According to our database, Garrett Bingham authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning.

Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi

CoRR, 2024

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning.

Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization.

Garrett Bingham

CoRR, 2023

Efficient Activation Function Optimization through Surrogate Modeling.

Garrett Bingham, Risto Miikkulainen

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

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks.

Garrett Bingham, Risto Miikkulainen

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

2022

Discovering Parametric Activation Functions.

Garrett Bingham, Risto Miikkulainen

Neural Networks, 2022

2020

Evolutionary optimization of deep learning activation functions.

Garrett Bingham, William Macke, Risto Miikkulainen

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations.

Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Preliminary Studies on a Large Face Database.

Benjamin Yip, Garrett Bingham, Katherine Kempfert, Jonathan Fabish, Troy Kling, Cuixian Chen, Yishi Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Random Subspace Two-dimensional LDA for Face Recognition.

Garrett Bingham

CoRR, 2017