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An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

4 March 2018
Shaojie Bai
J. Zico Kolter
V. Koltun
    DRL
ArXivPDFHTML

Papers citing "An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling"

50 / 1,275 papers shown
Title
Convolutional Temporal Attention Model for Video-based Person
  Re-identification
Convolutional Temporal Attention Model for Video-based Person Re-identification
Tanzila Rahman
Mrigank Rochan
Yang Wang
16
6
0
09 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender
  Systems
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You
Yichen Wang
Aditya Pal
Pong Eksombatchai
C. Rosenberg
J. Leskovec
20
124
0
08 Apr 2019
Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep
  Learning
Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning
Mike Li
X. R. Wang
18
0
0
02 Apr 2019
Medical Time Series Classification with Hierarchical Attention-based
  Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin
Beilei Xu
Wencheng Wu
Trevor W. Richardson
Edgar A. Bernal
10
28
0
28 Mar 2019
Uncertainty Aware Learning from Demonstrations in Multiple Contexts
  using Bayesian Neural Networks
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur
H. V. Hoof
J. A. G. Higuera
Doina Precup
D. Meger
11
14
0
13 Mar 2019
Elements of Sequential Monte Carlo
Elements of Sequential Monte Carlo
C. A. Naesseth
Fredrik Lindsten
Thomas B. Schon
16
95
0
12 Mar 2019
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural
  Network Using Physiological Time Series
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series
B. Pourbabaee
Matthew Howe-Patterson
Matthew R. Patterson
F. Bénard
MLAU
13
0
0
11 Mar 2019
A Deep Generative Model of Speech Complex Spectrograms
A Deep Generative Model of Speech Complex Spectrograms
Aditya Arie Nugraha
Kouhei Sekiguchi
Kazuyoshi Yoshii
16
19
0
08 Mar 2019
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated
  Temporal Fully-Convolutional Networks
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
N. Cheema
S. Hosseini
J. Sprenger
E. Herrmann
H. Du
K. Fischer
P. Slusallek
8
3
0
02 Mar 2019
1D Convolutional Neural Network Models for Sleep Arousal Detection
1D Convolutional Neural Network Models for Sleep Arousal Detection
M. Zabihi
Ali Bahrami Rad
S. Kiranyaz
Simo Särkkä
M. Gabbouj
11
14
0
01 Mar 2019
Attentional Encoder Network for Targeted Sentiment Classification
Attentional Encoder Network for Targeted Sentiment Classification
Youwei Song
Jiahai Wang
Tao Jiang
Zhiyue Liu
Yanghui Rao
6
274
0
25 Feb 2019
Towards Neural Mixture Recommender for Long Range Dependent User
  Sequences
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang
Francois Belletti
Sagar Jain
Minmin Chen
Alex Beutel
Can Xu
Ed H. Chi
11
90
0
22 Feb 2019
Towards end-to-end pulsed eddy current classification and regression
  with CNN
Towards end-to-end pulsed eddy current classification and regression with CNN
X. Fu
Chengkai Zhang
Xiang Peng
Lihua Jian
Zheng Liu
12
16
0
22 Feb 2019
Audio-Linguistic Embeddings for Spoken Sentences
Audio-Linguistic Embeddings for Spoken Sentences
Albert Haque
Michelle Guo
Prateek Verma
Li Fei-Fei
17
51
0
20 Feb 2019
STCN: Stochastic Temporal Convolutional Networks
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
11
61
0
18 Feb 2019
In a Silent Way: Communication Between AI and Improvising Musicians
  Beyond Sound
In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
Jon McCormack
Toby Gifford
P. Hutchings
M. T. Rodriguez
M. Yee-King
M. dÍnverno
20
63
0
18 Feb 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional
  Networks and Dynamic Time Warping
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Michael Moor
Max Horn
Bastian Alexander Rieck
D. Roqueiro
Karsten M. Borgwardt
9
14
0
05 Feb 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSL
AI4TS
14
440
0
30 Jan 2019
State-Regularized Recurrent Neural Networks
State-Regularized Recurrent Neural Networks
Cheng Wang
Mathias Niepert
18
39
0
25 Jan 2019
Unsupervised speech representation learning using WaveNet autoencoders
Unsupervised speech representation learning using WaveNet autoencoders
J. Chorowski
Ron J. Weiss
Samy Bengio
Aaron van den Oord
SSL
14
318
0
25 Jan 2019
Hierarchical Attentional Hybrid Neural Networks for Document
  Classification
Hierarchical Attentional Hybrid Neural Networks for Document Classification
Jader Abreu
Luis Fred
David Macêdo
Cleber Zanchettin
17
36
0
20 Jan 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
15
932
0
16 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
10
3,671
0
09 Jan 2019
Fusing Body Posture with Facial Expressions for Joint Recognition of
  Affect in Child-Robot Interaction
Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction
P. Filntisis
Niki Efthymiou
Petros Koutras
G. Potamianos
Petros Maragos
CVBM
13
53
0
07 Jan 2019
Generalization Studies of Neural Network Models for Cardiac Disease
  Detection Using Limited Channel ECG
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG
Deepta Rajan
David Beymer
Girish Narayan
14
9
0
05 Jan 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with
  Convolutional Neural Networks
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Mohamed Yousef
K. Hussain
U. S. Mohammed
3DV
13
124
0
31 Dec 2018
Future semantic segmentation of time-lapsed videos with large temporal
  displacement
Future semantic segmentation of time-lapsed videos with large temporal displacement
Talha Ahmad Siddiqui
Samarth Bharadwaj
16
0
0
27 Dec 2018
Adversarial Signal Denoising with Encoder-Decoder Networks
Adversarial Signal Denoising with Encoder-Decoder Networks
Leslie Casas
Attila Klimmek
Nassir Navab
Vasileios Belagiannis
8
20
0
20 Dec 2018
Synergy Effect between Convolutional Neural Networks and the
  Multiplicity of SMILES for Improvement of Molecular Prediction
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction
Talia B. Kimber
Sebastian Engelke
Igor V. Tetko
Eric Bruno
Guillaume Godin
19
36
0
11 Dec 2018
Learning 3D Human Dynamics from Video
Learning 3D Human Dynamics from Video
Yang Janet Liu
Jason Y. Zhang
Lei Lin
Jitendra Malik
3DH
22
513
0
04 Dec 2018
Deep learning for pedestrians: backpropagation in CNNs
Deep learning for pedestrians: backpropagation in CNNs
L. Boué
3DV
PINN
11
4
0
29 Nov 2018
Measuring Depression Symptom Severity from Spoken Language and 3D Facial
  Expressions
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions
Albert Haque
Michelle Guo
Adam S. Miner
Li Fei-Fei
14
109
0
21 Nov 2018
Deep Determinantal Point Processes
Deep Determinantal Point Processes
Mike Gartrell
Elvis Dohmatob
Jon Alberdi
6
4
0
17 Nov 2018
Subtask Gated Networks for Non-Intrusive Load Monitoring
Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin
Sunghwan Joo
Jaeryun Yim
Hyoseop Lee
Taesup Moon
Wonjong Rhee
12
114
0
16 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for
  Financial Time Series
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
Qiang Zhang
Kyle Birkeland
Yaodong Yang
Y. Liu
14
9
0
08 Nov 2018
Assessing Generalization in Deep Reinforcement Learning
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
D. Song
OffRL
16
232
0
29 Oct 2018
The Newton Scheme for Deep Learning
The Newton Scheme for Deep Learning
Junqing Qiu
Guoren Zhong
Yihua Lu
Kun Xin
Huihuan Qian
Xi Zhu
PINN
17
3
0
16 Oct 2018
Super Characters: A Conversion from Sentiment Classification to Image
  Classification
Super Characters: A Conversion from Sentiment Classification to Image Classification
Baohua Sun
L. Yang
Patrick Dong
Wenhan Zhang
Jason Dong
Charles Young
4
32
0
15 Oct 2018
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
15
145
0
15 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
23
144
0
15 Oct 2018
Temporal Convolutional Memory Networks for Remaining Useful Life
  Estimation of Industrial Machinery
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery
Lahiru Jayasinghe
Tharaka Samarasinghe
Chau Yuen
Jenny Chen Ni Low
S. Ge
6
63
0
12 Oct 2018
Understanding Convolutional Neural Networks for Text Classification
Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi
Oren Sar Shalom
Yoav Goldberg
FAtt
11
216
0
21 Sep 2018
Understanding Behavior of Clinical Models under Domain Shifts
Understanding Behavior of Clinical Models under Domain Shifts
Jayaraman J. Thiagarajan
Deepta Rajan
P. Sattigeri
OOD
AI4CE
16
3
0
20 Sep 2018
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for
  Speech Separation
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
Yi Luo
N. Mesgarani
13
1,746
0
20 Sep 2018
The Fast and the Flexible: training neural networks to learn to follow
  instructions from small data
The Fast and the Flexible: training neural networks to learn to follow instructions from small data
Rezka Leonandya
Elia Bruni
Dieuwke Hupkes
Germán Kruszewski
11
6
0
17 Sep 2018
AUEB at BioASQ 6: Document and Snippet Retrieval
AUEB at BioASQ 6: Document and Snippet Retrieval
Georgios-Ioannis Brokos
Polyvios Liosis
Ryan T. McDonald
Dimitris Pappas
Ion Androutsopoulos
RALM
12
18
0
15 Sep 2018
Deep Audio-Visual Speech Recognition
Deep Audio-Visual Speech Recognition
Triantafyllos Afouras
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
15
687
0
06 Sep 2018
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan T. McDonald
George Brokos
Ion Androutsopoulos
8
126
0
05 Sep 2018
Convolutional Neural Network for Trajectory Prediction
Convolutional Neural Network for Trajectory Prediction
N. Nikhil
B. Morris
HAI
11
56
0
03 Sep 2018
IEA: Inner Ensemble Average within a convolutional neural network
IEA: Inner Ensemble Average within a convolutional neural network
Abduallah A. Mohamed
Xinrui Hua
Xianda Zhou
Christian G. Claudel
8
1
0
30 Aug 2018
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