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A Reductions Approach to Fair Classification

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Hello Edge: Keyword Spotting on Microcontrollers

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Composable Planning with Attributes

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Why does deep and cheap learning work so well?

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Understanding deep learning requires rethinking generalization | Generalization in Deep Learning

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Robust Physical-World Attacks on Deep Learning Models

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Fitting New Speakers Based on a Short Untranscribed Sample

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Neural Discrete Representation Learning

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Large-Scale Optimal Transport and Mapping Estimation

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Towards end-to-end spoken language understanding

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Do WaveNets Dream of Acoustic Waves?

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A Recurrent Latent Variable Model for Sequential Data

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Differentiable Dynamic Programming for Structured Prediction and Attention

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The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

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Smooth and Sparse Optimal Transport

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Image Tranformer

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SparseMAP: Differentiable Sparse Structured Inference

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Learning from Simulated and Unsupervised Images through Adversarial Training

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Stochastic Variance Reduction for Nonconvex Optimization

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Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis

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