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

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arXiv
🗒Cross-Modal Contrastive Learning for Text-to-Image Generation.
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arXiv
🗒DuctTake: Spatiotemporal Video Compositing.
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arXiv
🗒Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment.
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arXiv
🗒Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.
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arXiv
🗒Linear Representation Meta-Reinforcement Learning for Instant Adaptation.
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arXiv
🗒Latent Alignment of Procedural Concepts in Multimodal Recipes.
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arXiv
🗒Knowledge-Enhanced Top-K Recommendation in Poincar\'e Ball.
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arXiv
🗒Reproducing Activation Function for Deep Learning.
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arXiv
🗒Robust GPS-Vision Localization via Integrity-Driven Landmark Attention.
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arXiv
🗒Small Input Noise is Enough to Defend Against Query-based Black-box Attacks.
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arXiv
🗒Improved Hierarchical Clustering on Massive Datasets with Broad Guarantees.
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arXiv
🗒Discrete Knowledge Graph Embedding based on Discrete Optimization.
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arXiv
🗒MLGO: a Machine Learning Guided Compiler Optimizations Framework.
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arXiv
🗒MP3net: coherent, minute-long music generation from raw audio with a simple convolutional...
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arXiv
🗒Binary TTC: A Temporal Geofence for Autonomous Navigation.
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arXiv
🗒Practical Speech Re-use Prevention in Voice-driven Services.
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arXiv
🗒Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with E...
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arXiv
🗒A Recurrent Neural Network Approach to Roll Estimation for Needle Steering.
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arXiv
🗒Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during A...
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arXiv
🗒Supervised deep learning of elastic SRV distances on the shape space of curves.
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arXiv
🗒Road images augmentation with synthetic traffic signs using neural networks.
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