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Searching for Activation Functions

Searching for Activation Functions

16 October 2017
Prajit Ramachandran
Barret Zoph
Quoc V. Le
ArXivPDFHTML

Papers citing "Searching for Activation Functions"

49 / 99 papers shown
Title
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep
  Reinforcement Learning
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Taisuke Kobayashi
OffRL
18
7
0
23 Aug 2020
Can weight sharing outperform random architecture search? An
  investigation with TuNAS
Can weight sharing outperform random architecture search? An investigation with TuNAS
Gabriel Bender
Hanxiao Liu
Bo Chen
Grace Chu
Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
OOD
18
121
0
13 Aug 2020
Unnormalized Variational Bayes
Unnormalized Variational Bayes
Saeed Saremi
BDL
86
1
0
29 Jul 2020
Perpetual Motion: Generating Unbounded Human Motion
Perpetual Motion: Generating Unbounded Human Motion
Yan Zhang
Michael J. Black
Siyu Tang
3DH
49
47
0
27 Jul 2020
End-to-End Differentiable Learning to HDR Image Synthesis for
  Multi-exposure Images
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
J. H. Kim
Siyeong Lee
Suk-ju Kang
16
36
0
29 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
33
279
0
26 Jun 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
29
92
0
20 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and
  Adversarial Robustness
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAML
FAtt
36
39
0
16 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray
  dataset
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
...
F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
19
37
0
08 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
27
236
0
28 May 2020
Learning and Inference in Imaginary Noise Models
Learning and Inference in Imaginary Noise Models
Saeed Saremi
BDL
DRL
11
2
0
18 May 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
77
3,031
0
16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
43
124
0
14 May 2020
Angle-based Search Space Shrinking for Neural Architecture Search
Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
Xinming Zhang
Yichen Wei
Qingyi Gu
Jian Sun
24
62
0
28 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yuqing Yang
Y. Gao
AI4CE
37
8
0
25 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
63
12,055
0
23 Apr 2020
Symmetry & critical points for a model shallow neural network
Symmetry & critical points for a model shallow neural network
Yossi Arjevani
M. Field
34
13
0
23 Mar 2020
$Π-$nets: Deep Polynomial Neural Networks
Π−Π-Π−nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
S. Zafeiriou
29
59
0
08 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
30
316
0
25 Feb 2020
A Neural Network Based on First Principles
A Neural Network Based on First Principles
P. Baggenstoss
13
7
0
18 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions
Evolutionary Optimization of Deep Learning Activation Functions
G. Bingham
William Macke
Risto Miikkulainen
ODL
19
50
0
17 Feb 2020
GLU Variants Improve Transformer
GLU Variants Improve Transformer
Noam M. Shazeer
69
924
0
12 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
FAtt
30
143
0
10 Feb 2020
Deep Learning for Financial Applications : A Survey
Deep Learning for Financial Applications : A Survey
A. Ozbayoglu
M. U. Gudelek
Omer Berat Sezer
AIFin
AI4CE
42
385
0
09 Feb 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
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon
Youngoh Bang
Simon S. Woo
16
54
0
05 Jan 2020
BETANAS: BalancEd TrAining and selective drop for Neural Architecture
  Search
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Muyuan Fang
Qiang-qiang Wang
Zhaobai Zhong
OOD
30
9
0
24 Dec 2019
Implicit Generative Modeling for Efficient Exploration
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff
Qinxun Bai
Fuxin Li
Wenyuan Xu
22
12
0
19 Nov 2019
Symmetrical Gaussian Error Linear Units (SGELUs)
Symmetrical Gaussian Error Linear Units (SGELUs)
Chao Yu
Zhiguo Su
8
11
0
10 Nov 2019
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual
  Navigation
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
Xinlei Pan
Tingnan Zhang
Brian Ichter
Aleksandra Faust
Jie Tan
Sehoon Ha
57
25
0
27 Sep 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,420
0
02 Aug 2019
Deep Learning for CSI Feedback Based on Superimposed Coding
Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
11
42
0
27 Jul 2019
Universal Approximation with Deep Narrow Networks
Universal Approximation with Deep Narrow Networks
Patrick Kidger
Terry Lyons
40
327
0
21 May 2019
Improving Discrete Latent Representations With Differentiable
  Approximation Bridges
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram
Russ Webb
DRL
19
9
0
09 May 2019
Interpreting Neural Networks Using Flip Points
Interpreting Neural Networks Using Flip Points
Roozbeh Yousefzadeh
D. O’Leary
AAML
FAtt
22
17
0
21 Mar 2019
Neural Empirical Bayes
Neural Empirical Bayes
Saeed Saremi
Aapo Hyvarinen
12
65
0
06 Mar 2019
Adaptive Estimators Show Information Compression in Deep Neural Networks
Adaptive Estimators Show Information Compression in Deep Neural Networks
Ivan Chelombiev
Conor J. Houghton
Cian O’Donnell
30
34
0
24 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
59
2,268
0
17 Jan 2019
Prototype-based Neural Network Layers: Incorporating Vector Quantization
Prototype-based Neural Network Layers: Incorporating Vector Quantization
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
MQ
22
15
0
04 Dec 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted
  Inference
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
26
198
0
25 Nov 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
Tianhe Yu
Pieter Abbeel
Sergey Levine
Chelsea Finn
13
68
0
25 Oct 2018
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural
  Network
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network
Masayuki Tanaka
33
54
0
03 Oct 2018
SUNLayer: Stable denoising with generative networks
SUNLayer: Stable denoising with generative networks
D. Mixon
Soledad Villar
25
21
0
25 Mar 2018
Automated design of collective variables using supervised machine
  learning
Automated design of collective variables using supervised machine learning
Mohammad M. Sultan
Vijay S. Pande
14
121
0
28 Feb 2018
Complex-valued Neural Networks with Non-parametric Activation Functions
Complex-valued Neural Networks with Non-parametric Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Amir Hussain
A. Uncini
23
81
0
22 Feb 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in
  Video Classification
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Z. Tu
Kevin Patrick Murphy
3DH
43
1,308
0
13 Dec 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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