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

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arXiv
🗒Automated Discovery for Emulytics.
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arXiv
🗒BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models.
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arXiv
🗒Large-scale network analysis reveals cheating spreads through victimization and observation.
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arXiv
🗒Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.
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arXiv
🗒Born-Again Tree Ensembles.
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arXiv
🗒Parameter Estimation for Tests of General Relativity with the Astrophysical Stochastic Gr...
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arXiv
🗒Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning.
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arXiv
🗒Context-Aware Parse Trees.
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arXiv
🗒PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks.
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arXiv
🗒Implications of light charged Higgs boson at the LHC Run III in the 2HDM.
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arXiv
🗒Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real...
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arXiv
🗒How deep is your encoder: an analysis of features descriptors for an autoencoder-based au...
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arXiv
🗒Continuous Activity Maximization in Online Social Networks.
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arXiv
🗒The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics...
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arXiv
🗒Pipelined Backpropagation at Scale: Training Large Models without Batches.
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arXiv
🗒From Information Theory Puzzles in Deletion Channels to Deniability in Quantum Cryptography.
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arXiv
🗒Deep Grouping Model for Unified Perceptual Parsing.
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arXiv
🗒Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks.
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arXiv
🗒Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms.
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arXiv
🗒Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic A...
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arXiv
🗒Solving Raven's Progressive Matrices with Multi-Layer Relation Networks.
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