Difference between revisions of "Group Reading S17"
From courses
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*05/10 | *05/10 | ||
| − | **Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders, Zhao et al., https://arxiv.org/pdf/1703.10960.pdf ACL 2017 | + | **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 |
| − | **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 | + | **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 | *05/17 | ||
| − | **Learning to Skim Text, Yu et al., https://arxiv.org/pdf/1704.06877.pdf | + | **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 | ||
Latest revision as of 11:10, 23 May 2017
- 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
