This repo contains my annotated papers
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Generative Adversarial Networks
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Deep Convolutional Generative Adversarial Networks(DCGANs)
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Cyclical Learning Rates for Training Neural Networks
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Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
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Mixup: Beyond Empirical Risk Minimization
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Universal Language Model Fine-tuning for Text Classification(ULMFiT)
NB: Papers are annotated using Evince