Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
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In response, unsupervised learning approaches have emerged.
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DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao
Neural Information Processing Systems
Following this thought, we recast virtual screening as an information retrieval task, i.e., given a
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Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning Runqian W ang
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Such re-training requires access to the data used to train the LoRA for the original base model.
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AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs Adam D. Cobb
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Datasets of complex cyber-physical systems (CPS) are difficult to build and large CPS datasets are not publicly available.
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