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Nathan Jacobs

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Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning

Feb 14, 2024
Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik

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LD-SDM: Language-Driven Hierarchical Species Distribution Modeling

Dec 13, 2023
Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs

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Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems

Dec 12, 2023
Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik

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BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping

Oct 29, 2023
Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs

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Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning

Oct 24, 2023
Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs

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A Partially Supervised Reinforcement Learning Framework for Visual Active Search

Oct 15, 2023
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik

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FroSSL: Frobenius Norm Minimization for Self-Supervised Learning

Oct 04, 2023
Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sanchez Giraldo

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Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping

Sep 19, 2023
Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs

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StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation

Sep 04, 2023
Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs

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Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images

Jul 29, 2023
Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs

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