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Found 6 papers, 2 papers with code
Injecting Hierarchy with U-Net Transformers
The Transformer architecture has become increasingly popular over the past two years, owing to its impressive performance on a number of natural language processing (NLP) tasks.
Memory-Augmented Recurrent Networks for Dialogue Coherence
The first design features a sequence-to-sequence architecture with two separate NTM modules, one for each participant in the conversation.
Label-Conditioned Next-Frame Video Generation with Neural Flows
Recent state-of-the-art video generation systems employ Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs) to produce novel videos.
Adversarial Text Generation Without Reinforcement Learning
This is largely because sequences of text are discrete, and thus gradients cannot propagate from the discriminator to the generator.
Adversarial Decomposition of Text Representation
We show that the proposed method is capable of fine-grained controlled change of these aspects of the input sentence.
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
This paper describes the winning system for SemEval-2017 Task 6: {\#}HashtagWars: Learning a Sense of Humor.
