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

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arXiv
🗒Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natur...
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🗒Phenomenological Study of Heavy Hadron Lifetimes.
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🗒A JND-based Video Quality Assessment Model and Its Application.
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🗒Measurement of dielectron production in central Pb-Pb collisions at $\sqrt{{\textit{s}}_{...
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🗒Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping wit...
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🗒Neural Random Projections for Language Modelling.
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🗒Stochastic Layer-Wise Precision in Deep Neural Networks.
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🗒Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood E...
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🗒Resembled Generative Adversarial Networks: Two Domains with Similar Attributes.
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🗒SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection.
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🗒Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometr...
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🗒Distributed resource allocation through utility design - Part I: optimizing the performan...
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🗒COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Netwo...
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🗒Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.
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🗒SWIFT: Maintaining weak-scalability with a dynamic range of $10^4$ in time-step size to h...
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🗒Distributed resource allocation through utility design - Part II: applications to submodu...
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🗒A Dataset for Lane Instance Segmentation in Urban Environments.
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🗒OCTen: Online Compression-based Tensor Decomposition.
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🗒Intensity mapping of the 21cm emission: lensing.
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🗒Efficient ConvNets for Analog Arrays.
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arXiv
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


🗒 Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
👥 Dan Hendrycks, Thomas G. Dietterich
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🗒 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
👥 Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
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🗒 Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
👥 Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
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🗒 Encoding Spatial Relations from Natural Language
👥 Tiago Ramalho, Tomáš Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
📗 PDF


🗒 MIXGAN: Learning Concepts from Different Domains for Mixture Generation
👥 Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
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AI Python & arXiv Channel
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