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

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arXiv
🗒Deliberate Self-Attention Network with Uncertainty Estimation for Multi-Aspect Review Rat...
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arXiv
🗒C-SAW: A Framework for Graph Sampling and Random Walk on GPUs.
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arXiv
🗒Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks.
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arXiv
🗒Using Inaudible Audio and Voice Assistants to Transmit Sensitive Data over Telephony.
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arXiv
🗒SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robus...
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arXiv
🗒Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.
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arXiv
🗒Towards image-based automatic meter reading in unconstrained scenarios: A robust and effi...
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arXiv
🗒Extreme compression of grayscale images.
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arXiv
🗒FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise.
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arXiv
🗒Neural Architecture Search Using Stable Rank of Convolutional Layers.
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arXiv
🗒Weak-shot Fine-grained Classification via Similarity Transfer.
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arXiv
🗒ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference.
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arXiv
🗒BargainNet: Background-Guided Domain Translation for Image Harmonization.
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arXiv
🗒Redundancy of Hidden Layers in Deep Learning: An Information Perspective.
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arXiv
🗒SecDD: Efficient and Secure Method for Remotely Training Neural Networks.
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arXiv
🗒CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Sc...
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arXiv
🗒Hidden Incentives for Auto-Induced Distributional Shift.
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arXiv
🗒Population Susceptibility Variation and Its Effect on Contagion Dynamics.
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arXiv
🗒Introspective Learning by Distilling Knowledge from Online Self-explanation.
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arXiv
🗒Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewe...
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