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

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arXiv
🗒Learning Disentangled Representations with Reference-Based Variational Autoencoders.
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arXiv
🗒Maximum Entropy Generators for Energy-Based Models.
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arXiv
🗒Emergence of leader-follower hierarchy among players in an on-line experiment.
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arXiv
🗒Modelling the Demand and Uncertainty of Low Voltage Networks and the Effect of non-Domest...
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arXiv
🗒Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow.
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arXiv
🗒Deep Generative Learning via Variational Gradient Flow.
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arXiv
🗒Emotion Detection and Analysis on Social Media.
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arXiv
🗒Learning to compress and search visual data in large-scale systems.
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arXiv
🗒Irradiation and performance of RGB-HD Silicon Photomultipliers for calorimetric applicati...
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arXiv
🗒Adversarial Variational Inference and Learning in Markov Random Fields.
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arXiv
🗒Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation.
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arXiv
🗒A moment approach to compute quantum-gravity effects in the primordial universe.
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arXiv
🗒Deep Reasoning with Multi-scale Context for Salient Object Detection.
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arXiv
🗒Whole slide image registration for the study of tumor heterogeneity.
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arXiv
🗒Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back.
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arXiv
🗒Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained D...
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arXiv
🗒Traditional and Heavy-Tailed Self Regularization in Neural Network Models.
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arXiv
🗒QGAN: Quantized Generative Adversarial Networks.
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arXiv
🗒Large-Batch Training for LSTM and Beyond.
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arXiv
🗒Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Dee...
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