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1710.05941
Cited By
Searching for Activation Functions
16 October 2017
Prajit Ramachandran
Barret Zoph
Quoc V. Le
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Papers citing
"Searching for Activation Functions"
49 / 99 papers shown
Title
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
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Perpetual Motion: Generating Unbounded Human Motion
Yan Zhang
Michael J. Black
Siyu Tang
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End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
J. H. Kim
Siyeong Lee
Suk-ju Kang
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29 Jun 2020
Supermasks in Superposition
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Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
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26 Jun 2020
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
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20 Jun 2020
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
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
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F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
19
37
0
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Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
27
236
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28 May 2020
Learning and Inference in Imaginary Noise Models
Saeed Saremi
BDL
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11
2
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18 May 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
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Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
77
3,031
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16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
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Jinwoo Shin
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14 May 2020
Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
Xinming Zhang
Yichen Wei
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Jian Sun
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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
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
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ObjD
63
12,055
0
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Symmetry & critical points for a model shallow neural network
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M. Field
34
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0
23 Mar 2020
Π
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Π-
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nets: Deep Polynomial Neural Networks
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Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
S. Zafeiriou
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59
0
08 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
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Samuel Stanton
Pavel Izmailov
A. Wilson
30
316
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A Neural Network Based on First Principles
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13
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18 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions
G. Bingham
William Macke
Risto Miikkulainen
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50
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17 Feb 2020
GLU Variants Improve Transformer
Noam M. Shazeer
69
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12 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
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Pascal Sturmfels
Su-In Lee
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10 Feb 2020
Deep Learning for Financial Applications : A Survey
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M. U. Gudelek
Omer Berat Sezer
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09 Feb 2020
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks
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Mihai Nica
A. Stinchcombe
22
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17 Jan 2020
Towards GAN Benchmarks Which Require Generalization
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Colin Raffel
Luke Metz
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FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon
Youngoh Bang
Simon S. Woo
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05 Jan 2020
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Muyuan Fang
Qiang-qiang Wang
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Implicit Generative Modeling for Efficient Exploration
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Qinxun Bai
Fuxin Li
Wenyuan Xu
22
12
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19 Nov 2019
Symmetrical Gaussian Error Linear Units (SGELUs)
Chao Yu
Zhiguo Su
8
11
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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
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27 Sep 2019
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
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Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
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Universal Approximation with Deep Narrow Networks
Patrick Kidger
Terry Lyons
40
327
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Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram
Russ Webb
DRL
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9
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09 May 2019
Interpreting Neural Networks Using Flip Points
Roozbeh Yousefzadeh
D. O’Leary
AAML
FAtt
22
17
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21 Mar 2019
Neural Empirical Bayes
Saeed Saremi
Aapo Hyvarinen
12
65
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06 Mar 2019
Adaptive Estimators Show Information Compression in Deep Neural Networks
Ivan Chelombiev
Conor J. Houghton
Cian O’Donnell
30
34
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24 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
59
2,268
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17 Jan 2019
Prototype-based Neural Network Layers: Incorporating Vector Quantization
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
MQ
22
15
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Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
26
198
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One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
Tianhe Yu
Pieter Abbeel
Sergey Levine
Chelsea Finn
13
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25 Oct 2018
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
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Soledad Villar
25
21
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Automated design of collective variables using supervised machine learning
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Vijay S. Pande
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Complex-valued Neural Networks with Non-parametric Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Amir Hussain
A. Uncini
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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Z. Tu
Kevin Patrick Murphy
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Neural Architecture Search with Reinforcement Learning
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Quoc V. Le
271
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0
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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
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P. T. P. Tang
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0
15 Sep 2016
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