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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
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
28
320
0
22 Aug 2019
Quantile Convolutional Neural Networks for Value at Risk Forecasting
Quantile Convolutional Neural Networks for Value at Risk Forecasting
Gábor Petneházi
AI4TS
13
2
0
21 Aug 2019
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled
  Representation
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Yu Sun
Yun Ye
Wu Liu
Wenpeng Gao
Yili Fu
Tao Mei
3DH
38
182
0
20 Aug 2019
Predicting 3D Human Dynamics from Video
Predicting 3D Human Dynamics from Video
Jason Y. Zhang
Panna Felsen
Angjoo Kanazawa
Jitendra Malik
3DH
24
110
0
13 Aug 2019
Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve
  mixtures
Modeling continuous-time stochastic processes using N\mathcal{N}N-Curve mixtures
Ronny Hug
Wolfgang Hubner
Michael Arens
20
0
0
12 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
11
66
0
02 Aug 2019
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead
  Individual Residential Load Forecasting
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead Individual Residential Load Forecasting
Yunyou Huang
Nana Wang
Wanling Gao
Xiaoxuan Guo
Cheng Huang
Tianshu Hao
Jianfeng Zhan
11
5
0
01 Aug 2019
Probabilistic Motion Modeling from Medical Image Sequences: Application
  to Cardiac Cine-MRI
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
Julian Krebs
Tommaso Mansi
N. Ayache
H. Delingette
DiffM
MedIm
24
22
0
31 Jul 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
19
268
0
27 Jul 2019
Supervised and Unsupervised Neural Approaches to Text Readability
Supervised and Unsupervised Neural Approaches to Text Readability
Matej Martinc
Senja Pollak
Marko Robnik-Šikonja
6
138
0
26 Jul 2019
Temporally Consistent Horizon Lines
Temporally Consistent Horizon Lines
Florian Kluger
H. Ackermann
M. Yang
Bodo Rosenhahn
AI4TS
10
16
0
23 Jul 2019
Deep Learning for Time Series Forecasting: The Electric Load Case
Deep Learning for Time Series Forecasting: The Electric Load Case
Alberto Gasparin
S. Lukovic
C. Alippi
AI4TS
21
219
0
22 Jul 2019
Attention Filtering for Multi-person Spatiotemporal Action Detection on
  Deep Two-Stream CNN Architectures
Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures
João Antunes
Pedro Abreu
Alexandre Bernardino
A. Smailagic
D. Siewiorek
6
1
0
21 Jul 2019
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
14
273
0
15 Jul 2019
Agglomerative Attention
Agglomerative Attention
Matthew Spellings
14
0
0
15 Jul 2019
Autoencoding sensory substitution
Autoencoding sensory substitution
Viktor Tóth
L. Parkkonen
14
6
0
14 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
11
105
0
12 Jul 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic
  Compression
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Rika Antonova
Akshara Rai
Tianyu Li
Danica Kragic
DRL
8
17
0
10 Jul 2019
Multiplicative Models for Recurrent Language Modeling
Multiplicative Models for Recurrent Language Modeling
Diego Maupomé
Marie-Jean Meurs
KELM
8
1
0
30 Jun 2019
Universal Approximation of Input-Output Maps by Temporal Convolutional
  Nets
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Joshua Hanson
Maxim Raginsky
AI4TS
17
4
0
21 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
14
130
0
21 Jun 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional
  Model of Semantic Interactions
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong
Benjamin Sapp
James Philbin
21
241
0
21 Jun 2019
REflex: Flexible Framework for Relation Extraction in Multiple Domains
REflex: Flexible Framework for Relation Extraction in Multiple Domains
Geeticka Chauhan
Matthew B. A. McDermott
Peter Szolovits
6
13
0
19 Jun 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen
Yanfei Kang
Yixiong Chen
Zizhuo Wang
BDL
AI4TS
4
316
0
11 Jun 2019
Energy Predictive Models with Limited Data using Transfer Learning
Energy Predictive Models with Limited Data using Transfer Learning
Ali Hooshmand
Ratnesh K. Sharma
AI4TS
19
61
0
06 Jun 2019
Improving Neural Language Models by Segmenting, Attending, and
  Predicting the Future
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo
Lan Jiang
Yonatan Belinkov
James R. Glass
6
13
0
04 Jun 2019
Improved memory in recurrent neural networks with sequential non-normal
  dynamics
Improved memory in recurrent neural networks with sequential non-normal dynamics
A. Orhan
Xaq Pitkow
8
13
0
31 May 2019
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark,
  Evaluations, and New Methods
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods
Hang Yan
Sachini Herath
Yasutaka Furukawa
21
247
0
30 May 2019
Geolocating Political Events in Text
Geolocating Political Events in Text
Andrew Halterman
6
15
0
29 May 2019
Rethinking Full Connectivity in Recurrent Neural Networks
Rethinking Full Connectivity in Recurrent Neural Networks
Matthijs Van Keirsbilck
A. Keller
Xiaodong Yang
LRM
9
13
0
29 May 2019
Learning distant cause and effect using only local and immediate credit
  assignment
Learning distant cause and effect using only local and immediate credit assignment
D. Rawlinson
Abdelrahman Ahmed
Gideon Kowadlo
10
3
0
28 May 2019
Mapping high-performance RNNs to in-memory neuromorphic chips
Mapping high-performance RNNs to in-memory neuromorphic chips
M. Nair
Giacomo Indiveri
13
4
0
25 May 2019
Bivariate Beta-LSTM
Bivariate Beta-LSTM
Kyungwoo Song
Joonho Jang
Seung-Jae Shin
Il-Chul Moon
12
6
0
25 May 2019
On Recurrent Neural Networks for Sequence-based Processing in
  Communications
On Recurrent Neural Networks for Sequence-based Processing in Communications
Daniel Tandler
Sebastian Dörner
Sebastian Cammerer
S. Brink
13
20
0
24 May 2019
Training language GANs from Scratch
Training language GANs from Scratch
Cyprien de Masson dÁutume
Mihaela Rosca
Jack W. Rae
S. Mohamed
GAN
SyDa
4
87
0
23 May 2019
Quantifying Long Range Dependence in Language and User Behavior to
  improve RNNs
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs
Francois Belletti
Minmin Chen
Ed H. Chi
AI4TS
6
21
0
23 May 2019
Lightweight Network Architecture for Real-Time Action Recognition
Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov
Vadim Andronov
Y. Gritsenko
ViT
25
33
0
21 May 2019
CNNs found to jump around more skillfully than RNNs: Compositional
  generalization in seq2seq convolutional networks
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Roberto Dessì
Marco Baroni
UQCV
12
43
0
21 May 2019
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for
  Chinese Word Segmentation
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Wei Jiang
Yan Tang
15
4
0
21 May 2019
A Multi-Task Learning Framework for Extracting Drugs and Their
  Interactions from Drug Labels
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels
Tung Tran
Ramakanth Kavuluru
H. Kilicoglu
11
6
0
17 May 2019
Strong and Simple Baselines for Multimodal Utterance Embeddings
Strong and Simple Baselines for Multimodal Utterance Embeddings
Paul Pu Liang
Y. Lim
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
24
30
0
14 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
Nilay Shrivastava
Astitwa Saxena
Yaman Kumar Singla
Preeti Kaur
Debanjan Mahata
R. Shah
13
3
0
10 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to
  High-Dimensional Time Series Forecasting
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen
Hsiang-Fu Yu
Inderjit Dhillon
AI4TS
18
346
0
09 May 2019
Temporal Graph Convolutional Networks for Automatic Seizure Detection
Temporal Graph Convolutional Networks for Automatic Seizure Detection
Ian Covert
B. Krishnan
I. Najm
Jiening Zhan
Matthew Shore
J. Hixson
M. Po
6
67
0
03 May 2019
Human-Centered Emotion Recognition in Animated GIFs
Human-Centered Emotion Recognition in Animated GIFs
Zhengyuan Yang
Yixuan Zhang
Jiebo Luo
16
21
0
27 Apr 2019
Towards Explainable Anticancer Compound Sensitivity Prediction via
  Multimodal Attention-based Convolutional Encoders
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
Matteo Manica
Ali Oskooei
Jannis Born
Vigneshwar Subramanian
J. Sáez-Rodríguez
María Rodríguez Martínez
14
114
0
25 Apr 2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural
  Speaker Separation
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu
DeLiang Wang
25
157
0
25 Apr 2019
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic
  Dynamics on Lane Graphs
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs
Matthew A. Wright
Simon F. G. Ehlers
R. Horowitz
AI4CE
GNN
12
4
0
18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
16
1,747
0
18 Apr 2019
Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity
Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity
Joshua T. Dickey
B. Borghetti
W. Junek
Richard K. Martin
11
15
0
16 Apr 2019
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