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

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arXiv
🗒OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts.
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arXiv
🗒Dynamic Graph-Based Anomaly Detection in the Electrical Grid.
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arXiv
🗒Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder.
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arXiv
🗒TCP D*: A Low Latency First Congestion Control Algorithm.
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arXiv
🗒Optimizing IoT and Web Traffic Using Selective Edge Compression.
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arXiv
🗒Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.
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arXiv
🗒Improving Adversarial Robustness in Weight-quantized Neural Networks.
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arXiv
🗒Towards Fair Deep Anomaly Detection.
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arXiv
🗒Generating Natural Language Attacks in a Hard Label Black Box Setting.
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arXiv
🗒SGD Distributional Dynamics of Three Layer Neural Networks.
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arXiv
🗒Damaged Fingerprint Recognition by Convolutional Long Short-Term Memory Networks for Fore...
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arXiv
🗒The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
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arXiv
🗒Stability analysis on charged black hole with non-linear complex scalar.
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arXiv
🗒Consensus with Bounded Space and Minimal Communication.
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arXiv
🗒Islands in Linear Dilaton Black Holes.
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arXiv
🗒Towards Threshold Key Exchange Protocols.
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arXiv
🗒Bosonic Random Walk Networks for Graph Learning.
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arXiv
🗒Graph Networks with Spectral Message Passing.
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arXiv
🗒Three-quarter Sibling Regression for Denoising Observational Data.
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arXiv
🗒The growing topology of the C. elegans connectome.
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arXiv
🗒EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.
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