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Language Modeling with Gated Convolutional Networks

Language Modeling with Gated Convolutional Networks

23 December 2016
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
ArXivPDFHTML

Papers citing "Language Modeling with Gated Convolutional Networks"

50 / 915 papers shown
Title
Improving VAE generations of multimodal data through data-dependent
  conditional priors
Improving VAE generations of multimodal data through data-dependent conditional priors
Frantzeska Lavda
Magda Gregorova
Alexandros Kalousis
13
4
0
25 Nov 2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern
  Architectures
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve
Qiantong Xu
Jacob Kahn
Tatiana Likhomanenko
Edouard Grave
Vineel Pratap
Anuroop Sriram
Vitaliy Liptchinsky
R. Collobert
SSL
AI4TS
36
246
0
19 Nov 2019
Adaptive Multi-scale Detection of Acoustic Events
Adaptive Multi-scale Detection of Acoustic Events
Wenhao Ding
Liang He
35
18
0
15 Nov 2019
Multi-attention Networks for Temporal Localization of Video-level Labels
Multi-attention Networks for Temporal Localization of Video-level Labels
Lijun Zhang
Srinath Nizampatnam
Ahana Gangopadhyay
Marcos V. Conde
30
7
0
15 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling
Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae
Anna Potapenko
Siddhant M. Jayakumar
Timothy Lillicrap
RALM
VLM
KELM
13
623
0
13 Nov 2019
Change your singer: a transfer learning generative adversarial framework
  for song to song conversion
Change your singer: a transfer learning generative adversarial framework for song to song conversion
Rema Daher
Mohammad Kassem Zein
Julia El Zini
M. Awad
Daniel C. Asmar
21
1
0
07 Nov 2019
Word Embedding Algorithms as Generalized Low Rank Models and their
  Canonical Form
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form
Kian Kenyon-Dean
27
3
0
06 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
24
50
0
03 Nov 2019
Sequence-to-sequence Singing Synthesis Using the Feed-forward
  Transformer
Sequence-to-sequence Singing Synthesis Using the Feed-forward Transformer
Merlijn Blaauw
J. Bonada
27
55
0
22 Oct 2019
Lead2Gold: Towards exploiting the full potential of noisy transcriptions
  for speech recognition
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
Adrien Dufraux
Emmanuel Vincent
Awni Y. Hannun
Armelle Brun
Matthijs Douze
6
9
0
16 Oct 2019
Stabilizing Transformers for Reinforcement Learning
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
22
360
0
13 Oct 2019
Keyphrase Generation: A Multi-Aspect Survey
Keyphrase Generation: A Multi-Aspect Survey
Erion Çano
Ondrej Bojar
27
21
0
11 Oct 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural
  Methods
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Kevin J. Liang
Guoyin Wang
Yitong Li
Ricardo Henao
Lawrence Carin
35
2
0
09 Oct 2019
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word
  Representations
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
Christian Hadiwinoto
Hwee Tou Ng
Wee Chung Gan
30
83
0
01 Oct 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational
  Autoencoders for Text Generation
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Victor Prokhorov
Ehsan Shareghi
Yingzhen Li
Mohammad Taher Pilehvar
Nigel Collier
DRL
25
29
0
30 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
48
585
0
25 Sep 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
22
204
0
25 Sep 2019
Attention Interpretability Across NLP Tasks
Attention Interpretability Across NLP Tasks
Shikhar Vashishth
Shyam Upadhyay
Gaurav Singh Tomar
Manaal Faruqui
XAI
MILM
42
176
0
24 Sep 2019
In Conclusion Not Repetition: Comprehensive Abstractive Summarization
  With Diversified Attention Based On Determinantal Point Processes
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Lei Li
Wei Liu
Marina Litvak
N. Vanetik
Zuying Huang
32
11
0
24 Sep 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with
  Contextualized Embeddings
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Gregor Wiedemann
Steffen Remus
Avi Chawla
Chris Biemann
27
174
0
23 Sep 2019
Self-Training for End-to-End Speech Recognition
Self-Training for End-to-End Speech Recognition
Jacob Kahn
Ann Lee
Awni Y. Hannun
SSL
27
231
0
19 Sep 2019
Many-to-Many Voice Conversion using Cycle-Consistent Variational
  Autoencoder with Multiple Decoders
Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple Decoders
Keonnyeong Lee
In-Chul Yoo
Dongsuk Yook
DRL
20
14
0
15 Sep 2019
Parameterized Convolutional Neural Networks for Aspect Level Sentiment
  Classification
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Binxuan Huang
Kathleen M. Carley
6
143
0
13 Sep 2019
Multimodal Embeddings from Language Models
Multimodal Embeddings from Language Models
Shao-Yen Tseng
P. Georgiou
Shrikanth Narayanan
32
11
0
10 Sep 2019
Deep Convolutional Networks in System Identification
Deep Convolutional Networks in System Identification
Carl R. Andersson
Antônio H. Ribeiro
K. Tiels
Niklas Wahlström
Thomas B. Schon
27
48
0
04 Sep 2019
Deep Equilibrium Models
Deep Equilibrium Models
Shaojie Bai
J. Zico Kolter
V. Koltun
14
657
0
03 Sep 2019
Demucs: Deep Extractor for Music Sources with extra unlabeled data
  remixed
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
Alexandre Défossez
Nicolas Usunier
Léon Bottou
Francis R. Bach
25
84
0
03 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
460
2,592
0
03 Sep 2019
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Hiroyuki Shindo
Yuji Matsumoto
GNN
36
15
0
31 Aug 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph
  Neural Networks
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang
Ying Wang
Cheng Liu
Lei He
Huawei Li
Xiaowei Li
GNN
22
133
0
31 Aug 2019
Memorizing All for Implicit Discourse Relation Recognition
Memorizing All for Implicit Discourse Relation Recognition
Hongxiao Bai
Hai Zhao
Junhan Zhao
19
10
0
29 Aug 2019
A Deep Neural Information Fusion Architecture for Textual Network
  Embeddings
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
Zenan Xu
Qinliang Su
Xiaojun Quan
Weijia Zhang
16
6
0
29 Aug 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for
  Reconstruction of Reproductive Hormonal Dynamics
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
Iñigo Urteaga
Tristan Bertin
Theresa M. Hardy
D. Albers
Noémie Elhadad
AI4TS
AI4CE
16
5
0
27 Aug 2019
Situational Fusion of Visual Representation for Visual Navigation
Situational Fusion of Visual Representation for Visual Navigation
Bokui (William) Shen
Danfei Xu
Yuke Zhu
Leonidas J. Guibas
Fei-Fei Li
Silvio Savarese
SSL
27
62
0
24 Aug 2019
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and
  Exploding Gradients?
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Anil Kag
Ziming Zhang
Venkatesh Saligrama
21
8
0
22 Aug 2019
Trajectory Space Factorization for Deep Video-Based 3D Human Pose
  Estimation
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
Jiahao Lin
Gim Hee Lee
33
74
0
22 Aug 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik
Tomas Pfister
LMTD
55
1,293
0
20 Aug 2019
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
Ning Wang
Zhaoxiang Liu
Zezhou Chen
Huan Hu
Kai Wang
CVBM
24
9
0
20 Aug 2019
Attention on Attention for Image Captioning
Attention on Attention for Image Captioning
Lun Huang
Wenmin Wang
Jie Chen
Xiao-Yong Wei
24
823
0
19 Aug 2019
Sound source detection, localization and classification using
  consecutive ensemble of CRNN models
Sound source detection, localization and classification using consecutive ensemble of CRNN models
Slawomir Kapka
M. Lewandowski
16
66
0
02 Aug 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
22
304
0
30 Jul 2019
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice
  Conversion
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
Nobukatsu Hojo
28
140
0
29 Jul 2019
Representation Degeneration Problem in Training Natural Language
  Generation Models
Representation Degeneration Problem in Training Natural Language Generation Models
Jun Gao
Di He
Xu Tan
Tao Qin
Liwei Wang
Tie-Yan Liu
15
263
0
28 Jul 2019
What is this Article about? Extreme Summarization with Topic-aware
  Convolutional Neural Networks
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
34
18
0
19 Jul 2019
Dynamic Malware Analysis with Feature Engineering and Feature Learning
Dynamic Malware Analysis with Feature Engineering and Feature Learning
Zhaoqi Zhang
Panpan Qi
Wei Wang
30
113
0
17 Jul 2019
Fake News Detection as Natural Language Inference
Fake News Detection as Natural Language Inference
Kai-Chou Yang
Timothy Niven
Hung-Yu kao
18
35
0
17 Jul 2019
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Towaki Takikawa
David Acuna
Varun Jampani
Sanja Fidler
41
606
0
12 Jul 2019
R-Transformer: Recurrent Neural Network Enhanced Transformer
R-Transformer: Recurrent Neural Network Enhanced Transformer
Z. Wang
Yao Ma
Zitao Liu
Jiliang Tang
ViT
24
105
0
12 Jul 2019
Adversarial Attacks in Sound Event Classification
Adversarial Attacks in Sound Event Classification
Vinod Subramanian
Emmanouil Benetos
N. Xu
SKoT McDonald
Mark Sandler
AAML
14
8
0
04 Jul 2019
The Indirect Convolution Algorithm
The Indirect Convolution Algorithm
Marat Dukhan
19
42
0
03 Jul 2019
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