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Trellis Networks for Sequence Modeling

Trellis Networks for Sequence Modeling

15 October 2018
Shaojie Bai
J. Zico Kolter
V. Koltun
ArXivPDFHTML

Papers citing "Trellis Networks for Sequence Modeling"

28 / 28 papers shown
Title
Short-Long Convolutions Help Hardware-Efficient Linear Attention to
  Focus on Long Sequences
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
Zicheng Liu
Siyuan Li
Li Wang
Zedong Wang
Yunfan Liu
Stan Z. Li
35
7
0
12 Jun 2024
Looped Transformers are Better at Learning Learning Algorithms
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang
Kangwook Lee
Robert D. Nowak
Dimitris Papailiopoulos
24
24
0
21 Nov 2023
Liquid Structural State-Space Models
Liquid Structural State-Space Models
Ramin Hasani
Mathias Lechner
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Daniela Rus
AI4TS
107
96
0
26 Sep 2022
Image Classification using Sequence of Pixels
Image Classification using Sequence of Pixels
Gajraj Kuldeep
16
0
0
23 Sep 2022
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware
  Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
Junkyu Jang
Sunghyuk Park
32
1
0
05 Sep 2022
Stable Invariant Models via Koopman Spectra
Stable Invariant Models via Koopman Spectra
Takuya Konishi
Yoshinobu Kawahara
23
3
0
15 Jul 2022
On the Parameterization and Initialization of Diagonal State Space
  Models
On the Parameterization and Initialization of Diagonal State Space Models
Albert Gu
Ankit Gupta
Karan Goel
Christopher Ré
19
298
0
23 Jun 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Yaping Zhao
Siming Zheng
Xin Yuan
53
19
0
18 Jan 2022
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with
  Network Traffic and Program Code
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code
Peng Xu
Claudia Eckert
Apostolis Zarras
28
4
0
19 Dec 2021
Efficiently Modeling Long Sequences with Structured State Spaces
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu
Karan Goel
Christopher Ré
52
1,665
0
31 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
Jan van Gemert
80
82
0
15 Oct 2021
A global convergence theory for deep ReLU implicit networks via
  over-parameterization
A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao
Hailiang Liu
Jia Liu
Hridesh Rajan
Hongyang Gao
MLT
31
16
0
11 Oct 2021
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Speeding up Deep Model Training by Sharing Weights and Then Unsharing
Shuo Yang
Le Hou
Xiaodan Song
Qiang Liu
Denny Zhou
110
9
0
08 Oct 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent
  Neural Networks
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
L. Kozachkov
Michaela Ennis
Jean-Jacques E. Slotine
22
18
0
16 Jun 2021
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Guohao Li
V. Koltun
GNN
AI4CE
51
235
0
14 Jun 2021
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with
  Recurrent Networks
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Avi Schwarzschild
Eitan Borgnia
Arjun Gupta
Furong Huang
U. Vishkin
Micah Goldblum
Tom Goldstein
24
73
0
08 Jun 2021
Rethinking Neural Operations for Diverse Tasks
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts
M. Khodak
Tri Dao
Liam Li
Christopher Ré
Ameet Talwalkar
AI4CE
36
22
0
29 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
49
181
0
16 Feb 2021
Implicit Feature Pyramid Network for Object Detection
Implicit Feature Pyramid Network for Object Detection
Tiancai Wang
Xinming Zhang
Jian Sun
ObjD
13
27
0
25 Dec 2020
Medical Code Assignment with Gated Convolution and Note-Code Interaction
Medical Code Assignment with Gated Convolution and Note-Code Interaction
Shaoxiong Ji
Shirui Pan
Pekka Marttinen
MedIm
27
18
0
14 Oct 2020
Multiscale Deep Equilibrium Models
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
38
211
0
15 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
68
2,550
0
26 Mar 2020
Temporal Convolutional Attention-based Network For Sequence Modeling
Temporal Convolutional Attention-based Network For Sequence Modeling
Hongyan Hao
Yan Wang
Siqiao Xue
Yudi Xia
Jian Zhao
S. Furao
22
41
0
28 Feb 2020
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Kristina Enes
Hassan Errami
Moritz Wolter
Tim Krake
B. Eberhardt
A. Weber
Jorg Zimmermann
OOD
24
1
0
13 Dec 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
621
0
13 Nov 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
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