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Do we train on test data? Purging CIFAR of near-duplicates

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Contextual Word Representations: A Contextual Introduction

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Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

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Improved Regularization of Convolutional Neural Networks with Cutout

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A Fully Differentiable Beam Search Decoder

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Improving Variational Inference with Inverse Autoregressive Flow

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On the Variance of Unbiased Online Recurrent Optimization

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Adversarial Generation of Time-Frequency Features with application in audio synthesis

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Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis

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GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping

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Negative Momentum for Improved Game Dynamics

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Parameter-Efficient Transfer Learning for NLP

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Certified Reinforcement Learning with Logic Guidance

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Visual Rationalizations in Deep Reinforcement Learning for Atari Games

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Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models

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Probabilistic Discriminative Learning with Layered Graphical Models

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Latent Normalizing Flows for Discrete Sequences

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Benchmarking Classic and Learned Navigation in Complex 3D Environments

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Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

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Axiomatic Attribution for Deep Networks

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