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Oral
Fri Jun 14 03:00 AM -- 03:20 AM (KST) @ Room 104
Analogies Explained: Towards Understanding Word Embeddings
In Applications: Natural Language Processing
Carl Allen · Timothy Hospedales
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:20 AM -- 03:25 AM (KST) @ Room 104
Parameter-Efficient Transfer Learning for NLP
In Applications: Natural Language Processing
Neil Houlsby · Andrei Giurgiu · Stanislaw Jastrzebski · Bruna Morrone · Quentin de Laroussilhe · Andrea Gesmundo · Mona Attariyan · Sylvain Gelly
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:25 AM -- 03:30 AM (KST) @ Room 104
Efficient On-Device Models using Neural Projections
In Applications: Natural Language Processing
Sujith Ravi
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:30 AM -- 03:35 AM (KST) @ Room 104
Deep Residual Output Layers for Neural Language Generation
In Applications: Natural Language Processing
Nikolaos Pappas · James Henderson
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:35 AM -- 03:40 AM (KST) @ Room 104
Improving Neural Language Modeling via Adversarial Training
In Applications: Natural Language Processing
Dilin Wang · Chengyue Gong · Qiang Liu
[ Slides]  [ Oral] 
Oral
Fri Jun 14 03:40 AM -- 04:00 AM (KST) @ Room 104
Mixture Models for Diverse Machine Translation: Tricks of the Trade
In Applications: Natural Language Processing
Tianxiao Shen · Myle Ott · Michael Auli · Marc'Aurelio Ranzato
[ Oral] 
Oral
Fri Jun 14 04:00 AM -- 04:05 AM (KST) @ Room 104
MASS: Masked Sequence to Sequence Pre-training for Language Generation
In Applications: Natural Language Processing
Kaitao Song · Xu Tan · Tao Qin · Jianfeng Lu · Tie-Yan Liu
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:05 AM -- 04:10 AM (KST) @ Room 104
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
In Applications: Natural Language Processing
Limor Gultchin · Genevieve Patterson · Nancy Baym · Nathaniel Swinger · Adam Kalai
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:10 AM -- 04:15 AM (KST) @ Room 104
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization
In Applications: Natural Language Processing
Eric Chu · Peter Liu
[ Slides]  [ Oral] 
Oral
Fri Jun 14 04:15 AM -- 04:20 AM (KST) @ Room 104
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
In Applications: Natural Language Processing
Tom Kenter · Vincent Wan · Chun-an Chan · Robert Clark · Jakub Vit
[ Slides]  [ Oral]