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Highway and Residual Networks learn Unrolled Iterative Estimation

Highway and Residual Networks learn Unrolled Iterative Estimation

22 December 2016
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
    AI4TS
ArXivPDFHTML

Papers citing "Highway and Residual Networks learn Unrolled Iterative Estimation"

30 / 30 papers shown
Title
Decoding Vision Transformers: the Diffusion Steering Lens
Decoding Vision Transformers: the Diffusion Steering Lens
Ryota Takatsuki
Sonia Joseph
Ippei Fujisawa
Ryota Kanai
DiffM
30
0
0
18 Apr 2025
Federated Learning with Flexible Architectures
Federated Learning with Flexible Architectures
Jong-Ik Park
Carlee Joe-Wong
FedML
45
3
0
14 Jun 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
33
1
0
27 Dec 2023
Breaking On-device Training Memory Wall: A Systematic Survey
Breaking On-device Training Memory Wall: A Systematic Survey
Shitian Li
Chunlin Tian
Kahou Tam
Ruirui Ma
Li Li
21
2
0
17 Jun 2023
Eliciting Latent Predictions from Transformers with the Tuned Lens
Eliciting Latent Predictions from Transformers with the Tuned Lens
Nora Belrose
Zach Furman
Logan Smith
Danny Halawi
Igor V. Ostrovsky
Lev McKinney
Stella Biderman
Jacob Steinhardt
22
193
0
14 Mar 2023
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
22
0
0
20 Oct 2022
Entangled Residual Mappings
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
8
4
0
02 Jun 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
35
8
0
06 Feb 2022
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks
Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks
Ángel López García-Arias
Masanori Hashimoto
Masato Motomura
Jaehoon Yu
31
5
0
24 Nov 2021
Rethinking Architecture Selection in Differentiable NAS
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang
Minhao Cheng
Xiangning Chen
Xiaocheng Tang
Cho-Jui Hsieh
27
172
0
10 Aug 2021
Layer Folding: Neural Network Depth Reduction using Activation
  Linearization
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror
Niv Zehngut
Avraham Raviv
E. Artyomov
Ran Vitek
R. Jevnisek
29
20
0
17 Jun 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
141
674
0
24 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Learning Light-Weight Translation Models from Deep Transformer
Learning Light-Weight Translation Models from Deep Transformer
Bei Li
Ziyang Wang
Hui Liu
Quan Du
Tong Xiao
Chunliang Zhang
Jingbo Zhu
VLM
120
40
0
27 Dec 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y. Fu
Haoran You
Yang Katie Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zhangyang Wang
Yingyan Lin
MQ
32
32
0
24 Dec 2020
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via
  Accelerated Downsampling
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma
Miao Yu
Kaidong Li
Guanghui Wang
14
5
0
15 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Going in circles is the way forward: the role of recurrence in visual
  inference
Going in circles is the way forward: the role of recurrence in visual inference
R. S. V. Bergen
N. Kriegeskorte
17
81
0
26 Mar 2020
A Derivative-Free Method for Solving Elliptic Partial Differential
  Equations with Deep Neural Networks
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks
Jihun Han
Mihai Nica
A. Stinchcombe
22
49
0
17 Jan 2020
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
17
141
0
02 Nov 2019
The streaming rollout of deep networks - towards fully model-parallel
  execution
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer
Jan M. Köhler
Thomas Pfeil
19
16
0
13 Jun 2018
Predict and Constrain: Modeling Cardinality in Deep Structured
  Prediction
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
Nataly Brukhim
Amir Globerson
23
9
0
13 Feb 2018
Sparsely Aggregated Convolutional Networks
Sparsely Aggregated Convolutional Networks
Ligeng Zhu
Ruizhi Deng
Michael Maire
Zhiwei Deng
Greg Mori
P. Tan
3DPC
32
9
0
18 Jan 2018
Real-time Semantic Image Segmentation via Spatial Sparsity
Real-time Semantic Image Segmentation via Spatial Sparsity
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
36
64
0
01 Dec 2017
End-to-End Learning for Structured Prediction Energy Networks
End-to-End Learning for Structured Prediction Energy Networks
David Belanger
Bishan Yang
Andrew McCallum
6
136
0
16 Mar 2017
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
18
209
0
30 Dec 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
V. Papyan
Yaniv Romano
Michael Elad
56
284
0
27 Jul 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
13
413
0
12 Jul 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
43
933
0
24 May 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
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