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

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arXiv
🗒Algorithmic Transparency with Strategic Users.
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arXiv
🗒The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation.
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arXiv
🗒Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid.
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arXiv
🗒ScribbleBox: Interactive Annotation Framework for Video Object Segmentation.
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arXiv
🗒Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the sign...
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arXiv
🗒SOTER on ROS: A Run-Time Assurance Framework on the Robot Operating System.
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arXiv
🗒Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology.
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arXiv
🗒Fine-tune BERT for E-commerce Non-Default Search Ranking.
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arXiv
🗒Toward Quantifying Ambiguities in Artistic Images.
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arXiv
🗒Transforming Probabilistic Programs for Model Checking.
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arXiv
🗒Abstractive Summarization of Spoken andWritten Instructions with BERT.
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arXiv
🗒Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limita...
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arXiv
🗒HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN.
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arXiv
🗒Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Targe...
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arXiv
🗒MPCC: Matching Priors and Conditionals for Clustering.
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arXiv
🗒Self-Competitive Neural Networks.
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arXiv
🗒Identity-Aware Multi-Sentence Video Description.
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arXiv
🗒Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model.
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arXiv
🗒NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.
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arXiv
🗒Chest Area Segmentation in Depth Images of Sleeping Patients.
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arXiv
🗒Variational Autoencoder for Anti-Cancer Drug Response Prediction.
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