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04/20/2023
The impact of the AI revolution on asset management
Recent progress in deep learning, a special form of machine learning, ha...
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04/03/2023
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks
Change detection, as an important application for high-resolution remote...
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03/14/2023
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
The global trends of urbanization and increased personal mobility force ...
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02/17/2023
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Traffic analysis is crucial for urban operations and planning, while the...
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11/09/2022
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
A growing number of Machine Learning Frameworks recently made Deep Learn...
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10/09/2022
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection
In recent years, multi-view subspace learning has been garnering increas...
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08/08/2022
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
The synthesis of high-resolution remote sensing images based on text des...
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06/01/2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
This study introduces Landslide4Sense, a reference benchmark for landsli...
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03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
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10/21/2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Contrastive learning with the InfoNCE objective is exceptionally success...
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05/31/2021
A remark on a paper of Krotov and Hopfield [arXiv:2008.06996]
In their recent paper titled "Large Associative Memory Problem in Neurob...
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10/13/2020
Cross-Domain Few-Shot Learning by Representation Fusion
In order to quickly adapt to new data, few-shot learning aims at learnin...
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07/16/2020