Difference between revisions of "Group Reading W17"
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* Adversarial Learning for Neural Dialogue Generation, Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky, https://arxiv.org/abs/1701.06547 | * Adversarial Learning for Neural Dialogue Generation, Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky, https://arxiv.org/abs/1701.06547 | ||
* Sequence-Level Knowledge Distillation, Yoon Kim and Alexander M. Rush, https://arxiv.org/pdf/1606.07947v1.pdf | * Sequence-Level Knowledge Distillation, Yoon Kim and Alexander M. Rush, https://arxiv.org/pdf/1606.07947v1.pdf | ||
| + | |||
| + | 02/27 | ||
| + | * Daniel: Neural Variation for Text: Miao, Blumson | ||
| + | * Daniel: ByteNet: | ||
| + | |||
| + | 03/06 | ||
| + | * W-GAN: | ||
| + | * Top ICLR papers | ||
Revision as of 16:16, 10 February 2017
01/23:
- Daniel: A JOINT MANY-TASK MODEL: GROWING A NEURAL NETWORK FOR MULTIPLE NLP TASKS, Kazuma Hashimoto∗ , Caiming Xiong† , Yoshimasa Tsuruoka & Richard Socher, https://openreview.net/pdf?id=SJZAb5cel
- Tyler: DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING, Caiming Xiong∗ , Victor Zhong∗ , Richard Socher, https://openreview.net/pdf?id=rJeKjwvclx
01/30
- Thien: Value Iteration Networks (NIPS 2016 Best Paper Award), Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, and Pieter Abbeel, https://papers.nips.cc/paper/6046-value-iteration-networks.pdf
- William: Training Very Deep Networks, Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber, https://arxiv.org/abs/1507.06228
02/06 NO meeting. ACL deadline.
02/13
- Adversarial Learning for Neural Dialogue Generation, Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky, https://arxiv.org/abs/1701.06547
- Sequence-Level Knowledge Distillation, Yoon Kim and Alexander M. Rush, https://arxiv.org/pdf/1606.07947v1.pdf
02/27
- Daniel: Neural Variation for Text: Miao, Blumson
- Daniel: ByteNet:
03/06
- W-GAN:
- Top ICLR papers
