Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

10 February 2017

Papers citing "Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning"

25 / 225 papers shown

Title
Learning and Inference in Imaginary Noise Models Saeed Saremi BDL DRL 11 2 0 18 May 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 366 0 02 May 2020
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 19 79 0 06 Apr 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 22 17 0 04 Mar 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network Hyeonseong Jeon Youngoh Bang Simon S. Woo 16 54 0 05 Jan 2020
CSPNet: A New Backbone that can Enhance Learning Capability of CNN Chien-Yao Wang H. Liao I-Hau Yeh Yueh-hua Wu Ping-Yang Chen J. Hsieh 36 3,049 0 27 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 25 21 0 01 Nov 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization Mina Basirat P. Roth 19 8 0 27 Oct 2019
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators Orsolya Csiszár Gábor Csiszár J. Dombi NAI 35 30 0 06 Oct 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Gait recognition via deep learning of the center-of-pressure trajectory P. Terrier CVBM 14 34 0 24 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 11 17,783 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 100 6,623 0 06 May 2019
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments K. Young Tian Tian 16 24 0 07 Mar 2019
Neural Empirical Bayes Saeed Saremi Aapo Hyvarinen 12 65 0 06 Mar 2019
Adaptive Estimators Show Information Compression in Deep Neural Networks Ivan Chelombiev Conor J. Houghton Cian O’Donnell 30 34 0 24 Feb 2019
Activation Adaptation in Neural Networks Farnoush Farhadi V. Nia Andrea Lodi AI4CE 29 14 0 28 Jan 2019
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning Hock Hung Chieng Noorhaniza Wahid P. Ong Sai Raj Kishore Perla 22 41 0 15 Dec 2018
Activation Functions: Comparison of trends in Practice and Research for Deep Learning S. Bodenstedt Dominik Rivoir A. Gachagan S. T. Mees 31 1,269 0 08 Nov 2018
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network Masayuki Tanaka 33 54 0 03 Oct 2018
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification Snehanshu Saha A. Mathur Kakoli Bora Surbhi Agrawal S. Basak 26 5 0 06 Jun 2018
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control K. Young Baoxiang Wang Matthew E. Taylor OffRL 16 15 0 10 May 2018
The Emergence of Spectral Universality in Deep Networks Jeffrey Pennington S. Schoenholz Surya Ganguli 26 171 0 27 Feb 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification Saining Xie Chen Sun Jonathan Huang Zhuowen Tu Kevin Patrick Murphy 3DH 52 1,309 0 13 Dec 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 31 22 0 24 Feb 2017