Difference between revisions of "Group Reading W17"
From courses
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02/13 | 02/13 | ||
| − | * Adversarial Learning for Neural Dialogue Generation, Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky, https://arxiv.org/abs/1701.06547 | + | * William: 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 | + | * Ke: Sequence-Level Knowledge Distillation, Yoon Kim and Alexander M. Rush, https://arxiv.org/pdf/1606.07947v1.pdf |
02/20 | 02/20 | ||
Revision as of 16:30, 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
- William: Adversarial Learning for Neural Dialogue Generation, Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky, https://arxiv.org/abs/1701.06547
- Ke: Sequence-Level Knowledge Distillation, Yoon Kim and Alexander M. Rush, https://arxiv.org/pdf/1606.07947v1.pdf
02/20 University holiday. No meeting.
02/27
- Daniel: Neural Variational Inference for Text Processing, Yishu Miao, Lei Yu, Phil Blunsom https://arxiv.org/abs/1511.06038
- Daniel: ByteNet: Neural Machine Translation in Linear Time, Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu, https://arxiv.org/abs/1610.10099
03/06
- W-GAN: Wasserstein GAN, Martin Arjovsky, Soumith Chintala, Léon Bottou, https://arxiv.org/abs/1701.07875
- Understanding deep learning requires rethinking generalization, Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals https://openreview.net/pdf?id=Sy8gdB9xx
