Random Subspace Two-dimensional LDA for Face Recognition. - Garrett Bingham (CoRR, 2017)

Preliminary Studies on a Large Face Database. - Benjamin Yip; Garrett Bingham; Katherine Kempfert; Jonathan Fabish; Troy Kling; Cuixian Chen; Yishi Wang (IEEE BigData, 2018)

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. - Rui Zhang 037; Caitlin Westerfield; Sungrok Shim; Garrett Bingham; Alexander R. Fabbri; William Hu; Neha Verma 001; Dragomir R. Radev (ACL (1), 2019)

Evolutionary optimization of deep learning activation functions. - Garrett Bingham; William Macke; Risto Miikkulainen (GECCO, 2020)

Discovering Parametric Activation Functions. - Garrett Bingham; Risto Miikkulainen (Neural Networks, 2022)

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. - Garrett Bingham; Risto Miikkulainen (AAAI, 2023)

Efficient Activation Function Optimization through Surrogate Modeling. - Garrett Bingham; Risto Miikkulainen (NeurIPS, 2023)

Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization. - Garrett Bingham (CoRR, 2023)

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. - Zhecan Wang; Garrett Bingham; Adams Wei Yu; Quoc V. Le; Thang Luong; Golnaz Ghiasi (ECCV (77), 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)