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1506.02078
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Visualizing and Understanding Recurrent Networks
5 June 2015
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
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Papers citing
"Visualizing and Understanding Recurrent Networks"
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Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
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Deep reinforcement learning for time series: playing idealized trading games
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C.-C. Jay Kuo
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Loss-aware Weight Quantization of Deep Networks
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Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
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Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
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Predicting Hurricane Trajectories using a Recurrent Neural Network
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Nested LSTMs
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Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
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Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
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Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
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Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes
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LSTM Pose Machines
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State Space LSTM Models with Particle MCMC Inference
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Excitation Backprop for RNNs
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