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Oral
Thu Jun 13 11:00 AM -- 11:20 AM (PDT) @ Hall B
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool · Herke van Hoof · Max Welling
[ Slides
Oral
Thu Jun 13 11:20 AM -- 11:25 AM (PDT) @ Hall B
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo · Zequn Sun · Wei Hu
[ Slides
Oral
Thu Jun 13 11:25 AM -- 11:30 AM (PDT) @ Hall B
Meta-Learning Neural Bloom Filters
Jack Rae · Sergey Bartunov · Timothy Lillicrap
[ Slides
Oral
Thu Jun 13 11:30 AM -- 11:35 AM (PDT) @ Hall B
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu · Lantao Yu · Siyuan Feng · Yaoming Zhu · Weinan Zhang
[ Slides
Oral
Thu Jun 13 11:35 AM -- 11:40 AM (PDT) @ Hall B
Non-Monotonic Sequential Text Generation
Sean Welleck · Kiante Brantley · Hal Daumé III · Kyunghyun Cho
[ Slides
Oral
Thu Jun 13 11:40 AM -- 12:00 PM (PDT) @ Hall B
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern · William Chan · Jamie Kiros · Jakob Uszkoreit
Oral
Thu Jun 13 12:00 PM -- 12:05 PM (PDT) @ Hall B
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
Eldan Cohen · Christopher Beck
[ Slides
Oral
Thu Jun 13 12:05 PM -- 12:10 PM (PDT) @ Hall B
Trainable Decoding of Sets of Sequences for Neural Sequence Models
Ashwin Kalyan · Peter Anderson · Stefan Lee · Dhruv Batra
[ Slides
Oral
Thu Jun 13 12:10 PM -- 12:15 PM (PDT) @ Hall B
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal · Chen Liang · Dale Schuurmans · Mohammad Norouzi
[ Slides
Oral
Thu Jun 13 12:15 PM -- 12:20 PM (PDT) @ Hall B
Efficient Training of BERT by Progressively Stacking
Linyuan Gong · Di He · Zhuohan Li · Tao Qin · Liwei Wang · Tie-Yan Liu
[ Slides