Difference between revisions of "Group Reading W17"
From courses
| (10 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
01/23: | 01/23: | ||
| − | Daniel: | + | * 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 |
| − | Kazuma Hashimoto∗ , Caiming Xiong† , Yoshimasa Tsuruoka & Richard Socher | ||
| − | https://openreview.net/pdf?id=SJZAb5cel | ||
| − | Tyler: | + | * Tyler: DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING, Caiming Xiong∗ , Victor Zhong∗ , Richard Socher, https://openreview.net/pdf?id=rJeKjwvclx |
| − | Caiming Xiong∗ , Victor Zhong∗ , Richard Socher | + | |
| − | https://openreview.net/pdf?id= | + | 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 | ||
| + | CS summit and Jeff Dean visit. No meeting. | ||
| + | http://www.ucsb-cs-summit.com/ | ||
| + | |||
| + | 03/13 | ||
| + | * 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 | ||
Latest revision as of 11:42, 27 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 CS summit and Jeff Dean visit. No meeting. http://www.ucsb-cs-summit.com/
03/13
- 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
