Group Reading S17

• 04/12:
  • Daniel: Controllable Text Generation, Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing, https://arxiv.org/pdf/1703.00955.pdf
  • Mahnaz: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks, Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. https://arxiv.org/pdf/1703.05192.pdf

• 04/19:
  • Philip: Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning, Abhishek Das et al. , https://arxiv.org/pdf/1703.06585.pdf
  • Rohan: Grammar Variational Autoencoder https://arxiv.org/pdf/1703.01925.pdf

• 04/26
  • No meeting. NLP Seminar: Jiwei Li (Stanford) 2pm HFH 1132, and student meeting 4pm in the lab.

• 05/03
  • Wenhan Xiong: Reinforcement Learning for Knowledge Graph Reasoning.

• 05/10
  • Yun Zhao: Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders, Zhao et al., https://arxiv.org/pdf/1703.10960.pdf ACL 2017
  • Shaoyi Zhang: A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues, Serban et al., http://www.cs.toronto.edu/~lcharlin/papers/vhred_aaai17.pdf AAAI 2017

• 05/17
  • Thien: Learning to Skim Text, Yu et al., https://arxiv.org/pdf/1704.06877.pdf
  • Tate: Convolutional Sequence to Sequence Learning, Gehring et al, https://arxiv.org/abs/1705.03122

• 05/24
  • Ke: A Deep Reinforced Model for Abstractive Summarization, Paulus et al., https://arxiv.org/pdf/1705.04304.pdf
  • Xin: Inferring and Executing Programs for Visual Reasoning, Johnson et al., https://arxiv.org/pdf/1705.03633.pdf

• 05/31
  • Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems, Ling et al., https://arxiv.org/pdf/1705.04146.pdf
  • Abhishek: Curiosity-driven Exploration by Self-supervised Prediction, Pathak et al., https://pathak22.github.io/noreward-rl/resources/icml17.pdf