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

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arXiv
🗒Learning to Learn Kernels with Variational Random Features.
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arXiv
🗒Optimizing generalization on the train set: a novel gradient-based framework to train par...
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arXiv
🗒End-to-end Sinkhorn Autoencoder with Noise Generator.
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arXiv
🗒On the asymptotics of wide networks with polynomial activations.
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arXiv
🗒Training Generative Adversarial Networks with Limited Data.
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arXiv
🗒Towards Early Diagnosis of Epilepsy from EEG Data.
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arXiv
🗒A multi-objective-based approach for Fair Principal Component Analysis.
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arXiv
🗒Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.
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arXiv
🗒Kalman Filter Based Multiple Person Head Tracking.
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arXiv
🗒Sovereign: User-Controlled Smart Homes.
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arXiv
🗒Learning to Infer 3D Object Models from Images.
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arXiv
🗒Multi-index Antithetic Stochastic Gradient Algorithm.
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arXiv
🗒Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classific...
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arXiv
🗒Robust Grouped Variable Selection Using Distributionally Robust Optimization.
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arXiv
🗒Faster DBSCAN via subsampled similarity queries.
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arXiv
🗒Hairy black holes by gravitational decoupling.
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arXiv
🗒Analytical investigation of wave absorption by a rotating black hole analogue.
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arXiv
🗒Continuous Control for Searching and Planning with a Learned Model.
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arXiv
🗒Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.
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arXiv
🗒Measuring Forecasting Skill from Text.
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arXiv
🗒Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces.
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