Garrett Bingham

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Activation Function

Top Venues

Publications

Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. CoRR (2024)
Garrett Bingham, Risto Miikkulainen
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. AAAI (2023)
Garrett Bingham
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization. CoRR (2023)
Garrett Bingham, Risto Miikkulainen
Efficient Activation Function Optimization through Surrogate Modeling. NeurIPS (2023)
Garrett Bingham, Risto Miikkulainen
Efficient Activation Function Optimization through Surrogate Modeling. CoRR (2023)
Garrett Bingham, Risto Miikkulainen
Discovering Parametric Activation Functions. Neural Networks 148 (2022)
Garrett Bingham, Risto Miikkulainen
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. CoRR (2021)
Garrett Bingham, William Macke, Risto Miikkulainen
Evolutionary optimization of deep learning activation functions. GECCO (2020)
Garrett Bingham, William Macke, Risto Miikkulainen
Evolutionary Optimization of Deep Learning Activation Functions. CoRR (2020)
Garrett Bingham, Risto Miikkulainen
Discovering Parametric Activation Functions. CoRR (2020)
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. CoRR (2019)
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. ACL (1) (2019)
Benjamin Yip, Garrett Bingham, Katherine Kempfert, Jonathan Fabish, Troy Kling, Cuixian Chen, Yishi Wang
Preliminary Studies on a Large Face Database. IEEE BigData (2018)
Benjamin Yip, Garrett Bingham, Katherine Kempfert, Jonathan Fabish, Troy Kling, Cuixian Chen, Yishi Wang
Preliminary Studies on a Large Face Database. CoRR (2018)
Garrett Bingham
Random Subspace Two-dimensional LDA for Face Recognition. CoRR (2017)