Group Reading W17

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