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

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arXiv
🗒How to Exploit the Transferability of Learned Image Compression to Conventional Codecs.
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arXiv
🗒EVRNet: Efficient Video Restoration on Edge Devices.
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arXiv
🗒Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks.
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arXiv
🗒Traffic Surveillance using Vehicle License Plate Detection and Recognition in Bangladesh.
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arXiv
🗒Iterated Linear Optimization.
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arXiv
🗒Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks.
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arXiv
🗒Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection.
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arXiv
🗒Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts.
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arXiv
🗒On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf...
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arXiv
🗒Locally Linear Attributes of ReLU Neural Networks.
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arXiv
🗒Classifying Malware Using Function Representations in a Static Call Graph.
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arXiv
🗒Quasi-Newton's method in the class gradient defined high-curvature subspace.
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arXiv
🗒Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer.
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arXiv
🗒COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings.
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arXiv
🗒Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Co...
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arXiv
🗒Origin-Aware Next Destination Recommendation with Personalized Preference Attention.
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arXiv
🗒A feedforward neural network for modelling of average pressure frequency response.
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arXiv
🗒Detecting Trojaned DNNs Using Counterfactual Attributions.
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arXiv
🗒Domain Adaptation of Aerial Semantic Segmentation.
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arXiv
🗒Efficient power allocation using graph neural networks and deep algorithm unfolding.
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arXiv
🗒Explaining Predictions of Deep Neural Classifier via Activation Analysis.
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