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

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arXiv
🗒Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm.
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arXiv
🗒Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian.
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arXiv
🗒Progressive NAPSAC: sampling from gradually growing neighborhoods.
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arXiv
🗒Private Deep Learning with Teacher Ensembles.
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arXiv
🗒A neural network based policy iteration algorithm with global $H^2$-superlinear convergen...
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arXiv
🗒Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated M...
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arXiv
🗒Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control.
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arXiv
🗒DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.
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arXiv
🗒Improved low-count quantitative PET reconstruction with a variational neural network.
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arXiv
🗒Context Attentive Document Ranking and Query Suggestion.
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arXiv
🗒Finding Friend and Foe in Multi-Agent Games.
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131 views
arXiv
🗒OutdoorSent: Can Semantic Features Help Deep Learning in Sentiment Analysis of Outdoor Im...
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arXiv
🗒MNIST-C: A Robustness Benchmark for Computer Vision.
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arXiv
🗒Towards Business Partnership Recommendation Using User Opinion on Facebook.
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arXiv
🗒How to Initialize your Network? Robust Initialization for WeightNorm & ResNets.
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arXiv
🗒On the Convergence of SARAH and Beyond.
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arXiv
🗒Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks.
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arXiv
🗒Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise.
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arXiv
🗒Explain Yourself! Leveraging Language Models for Commonsense Reasoning.
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arXiv
🗒Lookout for Zombies: Mitigating Flush+Reload Attack on Shared Caches by Monitoring Invali...
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