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

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arXiv
🗒On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification.
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arXiv
🗒Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles.
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arXiv
🗒Transformer based Automatic COVID-19 Fake News Detection System.
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arXiv
🗒CIZSL++: Creativity Inspired Generative Zero-Shot Learning.
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arXiv
🗒A matter of shape: seeing the deformation of atomic nuclei at high-energy colliders.
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arXiv
🗒Unifying Discourse Resources with Dependency Framework.
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arXiv
🗒Active Learning Under Malicious Mislabeling and Poisoning Attacks.
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arXiv
🗒A Graph Total Variation Regularized Softmax for Text Generation.
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arXiv
🗒DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue.
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arXiv
🗒Multi-Grid Back-Projection Networks.
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arXiv
🗒Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More.
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arXiv
🗒Dynamic system optimal traffic assignment with atomic users: Convergence and stability.
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arXiv
🗒Rapid and Robust Parameter Inference for Binary Mergers.
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arXiv
🗒Self-supervised Visual-LiDAR Odometry with Flip Consistency.
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arXiv
🗒Research on Fast Text Recognition Method for Financial Ticket Image.
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arXiv
🗒A Linearly Convergent Algorithm for Distributed Principal Component Analysis.
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arXiv
🗒One vs Previous and Similar Classes Learning -- A Comparative Study.
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arXiv
🗒GeCo: Quality Counterfactual Explanations in Real Time.
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arXiv
🗒A practical approach for updating an integrity-enforced operating system.
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arXiv
🗒Robust Maximum Entropy Behavior Cloning.
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arXiv
🗒Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic.
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