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Diagnosing and Enhancing VAE Models

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Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

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Functional Variational Bayesian Neural Networks

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Learning low-precision neural networks without Straight-Through Estimator(STE)

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Deep Griffin-Lim Iteration

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Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions

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PROPS: Probabilistic personalization of black-box sequence models

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PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers

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Large-Scale Object Mining for Object Discovery from Unlabeled Video

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Graph-RISE: Graph-Regularized Image Semantic Embedding

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Nonlinear Markov Random Fields Learned via Backpropagation

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Scaling Matters in Deep Structured-Prediction Models

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Programmable Agents

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An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

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Latent Translation: Crossing Modalities by Bridging Generative Models

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Parsing Gigabytes of JSON per Second

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Latent Translation: Crossing Modalities by Bridging Generative Models

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Generating Textual Adversarial Examples for Deep Learning Models: A Survey

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A survey on Adversarial Attacks and Defenses in Text

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Augmentation for small object detection

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