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

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arXiv
🗒On Pruning Adversarially Robust Neural Networks.
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arXiv
🗒Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognit...
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arXiv
🗒Variational Hyper RNN for Sequence Modeling.
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arXiv
🗒Black Hole Superradiance in f(R) Gravities.
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🗒Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized G...
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arXiv
🗒Provable Representation Learning for Imitation Learning via Bi-level Optimization.
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arXiv
🗒Variational Wasserstein Barycenters for Geometric Clustering.
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arXiv
🗒Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence.
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arXiv
🗒Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve.
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arXiv
🗒Efficient Rollout Strategies for Bayesian Optimization.
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arXiv
🗒Video Monitoring Queries.
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arXiv
🗒Physics-informed deep learning for incompressible laminar flows.
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arXiv
🗒Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formul...
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arXiv
🗒Progressive Learning and Disentanglement of Hierarchical Representations.
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arXiv
🗒Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the need...
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arXiv
🗒Triplet Online Instance Matching Loss for Person Re-identification.
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arXiv
🗒A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint.
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arXiv
🗒Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications.
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arXiv
🗒Data-driven super-parameterization using deep learning: Experimentation with multi-scale...
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arXiv
🗒Smoothing Graphons for Modelling Exchangeable Relational Data.
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