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Poster
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Tue 18:30
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The Evolved Transformer
David So · Quoc Le · Chen Liang
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Poster
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Tue 18:30
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Learning to Groove with Inverse Sequence Transformations
Jon Gillick · Adam Roberts · Jesse Engel · Douglas Eck · David Bamman
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Poster
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Thu 18:30
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Meta-Learning Neural Bloom Filters
Jack Rae · Sergey Bartunov · Timothy Lillicrap
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Poster
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Thu 18:30
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Learning Distance for Sequences by Learning a Ground Metric
Bing Su · Ying Wu
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Workshop
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Fri 14:40
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Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions
Chaopeng Shen
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Poster
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Wed 18:30
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Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
Biwei Huang · Kun Zhang · Mingming Gong · Clark Glymour
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Poster
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Wed 18:30
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Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Chun-Hao (Kingsley) Chang · Mingjie Mai · Anna Goldenberg
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Poster
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Thu 18:30
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Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern · William Chan · Jamie Kiros · Jakob Uszkoreit
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Oral
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Thu 12:00
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Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
Eldan Cohen · Christopher Beck
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Oral
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Thu 12:05
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Trainable Decoding of Sets of Sequences for Neural Sequence Models
Ashwin Kalyan · Peter Anderson · Stefan Lee · Dhruv Batra
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Poster
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Wed 18:30
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A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion
Sylvain Lamprier
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Poster
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Tue 18:30
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A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell · Zaid Harchaoui
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