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arXiv
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ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.
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arXiv
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Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation.
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arXiv
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Democratizing Production-Scale Distributed Deep Learning.
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arXiv
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Improving ICS Cyber Resilience through Optimal Diversification of Network Resources.
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I Know the Feeling: Learning to Converse with Empathy.
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Balanced Sparsity for Efficient DNN Inference on GPU.
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MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embe...
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Towards Explainable NLP: A Generative Explanation Framework for Text Classification.
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Reversible Adversarial Examples.
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Dial2Desc: End-to-end Dialogue Description Generation.
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Designing an Effective Metric Learning Pipeline for Speaker Diarization.
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Improving Robustness of Attention Models on Graphs.
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Formally Verified Hardware/Software Co-Design for Remote Attestation.
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Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversaria...
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Tests of Lorentz invariance at the Sudbury Neutrino Observatory.
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Deep Counterfactual Regret Minimization.
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Clustered Monotone Transforms for Rating Factorization.
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OpenCL Performance Prediction using Architecture-Independent Features.
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Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation.
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Mixture Density Generative Adversarial Networks.
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Recovery Guarantees for Quadratic Tensors with Limited Observations.
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