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

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arXiv
🗒Leveraging Uncertainty in Deep Learning for Selective Classification.
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arXiv
🗒Effect of the spatial curvature of the Universe on the form of the gravitational potential.
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arXiv
🗒Pose estimator and tracker using temporal flow maps for limbs.
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arXiv
🗒Constrained Design of Deep Iris Networks.
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arXiv
🗒Constraint on the Solar dm^2 from combined Daya Bay & RENO data.
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arXiv
🗒Private Queries on Public Certificate Transparency Data.
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arXiv
🗒Bouncing cosmology in an Extended Theory of Gravity.
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arXiv
🗒Modified Gravity (MOG) fits to observed radial acceleration of SPARC galaxies.
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arXiv
🗒Improved EEG Classification by factoring in sensor topography.
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arXiv
🗒Phase Space Analysis for Anisotropic Universe with Nonlinear Bulk Viscosity.
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arXiv
🗒Strong Cosmic Censorship in Charged de Sitter spacetime with Scalar Field Non-minimally C...
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arXiv
🗒Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network.
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arXiv
🗒Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.
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arXiv
🗒Prototype Reminding for Continual Learning.
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arXiv
🗒Causal Discovery with Cascade Nonlinear Additive Noise Models.
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arXiv
🗒Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network.
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arXiv
🗒MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling.
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arXiv
🗒FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through...
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arXiv
🗒Learning Discrete and Continuous Factors of Data via Alternating Disentanglement.
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arXiv
🗒Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can...
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arXiv
🗒Quantifying Long Range Dependence in Language and User Behavior to improve RNNs.
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