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

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arXiv
🗒Investigation of learning abilities on linguistic features in sequence-to-sequence text-t...
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arXiv
🗒Inelastic Dark Matter and the SABRE Experiment.
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arXiv
🗒Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection.
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🗒Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Grad...
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🗒Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.
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arXiv
🗒Simplified Self-Attention for Transformer-based End-to-End Speech Recognition.
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arXiv
🗒Single Image Super-Resolution via Residual Neuron Attention Networks.
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🗒Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit.
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arXiv
🗒CPOT: Channel Pruning via Optimal Transport.
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arXiv
🗒MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert.
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🗒High-Performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System.
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🗒Unsupposable Test-data Generation for Machine-learned Software.
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🗒HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Pr...
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🗒Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data.
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🗒Random Number Generator Attack against the Kirchhoff-Law-Johnson-Noise Secure Key Exchang...
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arXiv
🗒Sparse Tensor Transpositions.
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arXiv
🗒Towards Streaming Image Understanding.
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arXiv
🗒Why distillation helps: a statistical perspective.
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arXiv
🗒Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands.
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arXiv
🗒Mapping Matters: Application Process Mapping on 3-D Processor Topologies.
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