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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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arXiv
🗒Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts.
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arXiv
🗒Layer-stacked Attention for Heterogeneous Network Embedding.
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arXiv
🗒Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap.
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arXiv
🗒Efficient Transformer-based Large Scale Language Representations using Hardware-friendly...
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arXiv
🗒Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks.
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arXiv
🗒Deploying machine learning to assist digital humanitarians: making image annotation in Op...
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arXiv
🗒CARONTE: Crawling Adversarial Resources Over Non-Trusted, High-Profile Environments.
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arXiv
🗒POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments.
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arXiv
🗒Social network analytics for supervised fraud detection in insurance.
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arXiv
🗒Graph representation forecasting of patient's medical conditions: towards a digital twin.
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arXiv
🗒Neural CDEs for Long Time Series via the Log-ODE Method.
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arXiv
🗒Learning to Identify Physical Parameters from Video Using Differentiable Physics.
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arXiv
🗒Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling.
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arXiv
🗒A Linked Aggregate Code for Processing Faces (Revised Version).
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arXiv
🗒Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference.
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arXiv
🗒Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA.
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arXiv
🗒Adversarial Image Composition with Auxiliary Illumination.
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arXiv
🗒Parallax Attention for Unsupervised Stereo Correspondence Learning.
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arXiv
🗒'Less Than One'-Shot Learning: Learning N Classes From M<N Samples.
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arXiv
🗒Large Norms of CNN Layers Do Not Hurt Adversarial Robustness.
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