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

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arXiv
🗒Variational Inference to Measure Model Uncertainty in Deep Neural Networks.
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arXiv
🗒Attention is not Explanation.
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arXiv
🗒Unmasking Clever Hans Predictors and Assessing What Machines Really Learn.
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arXiv
🗒Online Learning with Continuous Ranked Probability Score.
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arXiv
🗒Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs.
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arXiv
🗒Nonlinear Approximation via Compositions.
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arXiv
🗒Gravitational wave echoes from black hole area quantization.
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arXiv
🗒Coloring Big Graphs with AlphaGoZero.
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arXiv
🗒Searching new physics in rare $B$-meson decays into multiple muons.
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arXiv
🗒Preheating in Palatini Higgs inflation.
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arXiv
🗒A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions.
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arXiv
🗒Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies.
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arXiv
🗒Learning a Family of Optimal State Feedback Controllers.
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arXiv
🗒Quadratic Decomposable Submodular Function Minimization: Theory and Practice.
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arXiv
🗒A Survey on Graph Processing Accelerators: Challenges and Opportunities.
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arXiv
🗒Aspects of Black Hole Physics Beyond General Relativity: extra dimensions, horizon wave f...
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arXiv
🗒BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidir...
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arXiv
🗒Beyond the Standard Model physics at CLIC.
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arXiv
🗒AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.
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arXiv
🗒Event-driven Video Frame Synthesis.
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arXiv
🗒Community structure in co-inventor networks affects time to first citation for patents.
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