Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

23 November 2015

Papers citing "Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)"

50 / 652 papers shown

Title
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 36 1 0 29 Apr 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 39 0 0 26 Apr 2024
Nonlinearity Enhanced Adaptive Activation Functions David Yevick 25 1 0 29 Mar 2024
Grappa -- A Machine Learned Molecular Mechanics Force Field Leif Seute Eric Hartmann Jan Stühmer Frauke Gräter 29 3 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 43 2 0 05 Mar 2024
TREET: TRansfer Entropy Estimation via Transformers Omer Luxembourg Dor Tsur H. Permuter 22 1 0 10 Feb 2024
Gradient Aligned Regression via Pairwise Losses Dixian Zhu Tianbao Yang Livnat Jerby-Arnon 34 0 0 08 Feb 2024
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows Jan Heiland Yongho Kim AI4CE 24 2 0 19 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 22 20 0 17 Jan 2024
Delving Deeper Into Astromorphic Transformers Md. Zesun Ahmed Mia Malyaban Bal Abhronil Sengupta 34 1 0 18 Dec 2023
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields J. P. Bello Minh-Quan Viet Bui Munchurl Kim 25 0 0 13 Dec 2023
Novel View Synthesis with View-Dependent Effects from a Single Image J. P. Bello Munchurl Kim 30 2 0 13 Dec 2023
One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets Santiago Iglesias Álvarez Enrique Díez Alonso M. Rodríguez Javier Rodríguez Rodríguez F. S. Lasheras F. J. D. C. Juez 8 4 0 12 Dec 2023
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives Pierre Wolinski ODL 29 0 0 06 Dec 2023
Predicting urban tree cover from incomplete point labels and limited background information Hui Zhang A. Kariryaa Venkanna Babu Guthula Christian Igel Stefan Oehmcke 13 0 0 20 Nov 2023
Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks Fabi Prezja L. Annala Sampsa Kiiskinen Suvi Lahtinen Timo Ojala MedIm 14 3 0 10 Nov 2023
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations Tristan Aumentado-Armstrong Ashkan Mirzaei Marcus A. Brubaker J. Kelly Alex Levinshtein Konstantinos G. Derpanis Igor Gilitschenski 35 4 0 27 Oct 2023
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 30 0 0 25 Oct 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Julius Berner Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 20 7 0 24 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 28 2 0 16 Oct 2023
A Non-monotonic Smooth Activation Function Koushik Biswas Meghana Karri Ulacs Baugci 16 1 0 16 Oct 2023
Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems Luis Carvalho Tobias Washüttl Gerhard Widmer 21 4 0 21 Sep 2023
Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations Xiangpei Zhu Zixuan Chen Jianyu Chen 13 0 0 16 Sep 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Yunyong Ko Hanghang Tong Sang-Wook Kim 24 0 0 11 Sep 2023
Learning Specialized Activation Functions for Physics-informed Neural Networks Honghui Wang Lu Lu Shiji Song Gao Huang PINN AI4CE 16 11 0 08 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 30 0 0 04 Aug 2023
Improving Social Media Popularity Prediction with Multiple Post Dependencies Zhizhen Zhang Xiao-Zhu Xie Meng Yang Ye Tian Yong-jia Jiang Yong Cui 21 5 0 28 Jul 2023
3D Medical Image Segmentation based on multi-scale MPU-Net Zeqiu Yu Shuo Han Ziheng Song 3DV 11 3 0 11 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 29 8 0 08 Jul 2023
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network Hamza Bouzid Lahoucine Ballihi ViT 3DH 22 2 0 30 Jun 2023
Learn to Enhance the Negative Information in Convolutional Neural Network Zhicheng Cai Chenglei Peng Qiu Shen 16 0 0 18 Jun 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic Cesare Alippi AI4TS 26 9 0 30 May 2023
Evaluating generation of chaotic time series by convolutional generative adversarial networks Y. Tanaka Y. Yamaguti 21 2 0 26 May 2023
Neural network reconstruction of cosmology using the Pantheon compilation K. Dialektopoulos P. Mukherjee J. Said J. Mifsud 11 11 0 24 May 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model Patrick Kahardipraja Brielen Madureira David Schlangen CLL 28 9 0 18 May 2023
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors Einari Vaaras Manu Airaksinen S. Vanhatalo Okko Rasanen 22 4 0 16 May 2023
Saturated Non-Monotonic Activation Functions Junjia Chen Zhibin Pan 13 1 0 12 May 2023
Message Passing Neural Networks for Traffic Forecasting Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim GNN 23 6 0 09 May 2023
Structured Sentiment Analysis as Transition-based Dependency Parsing Daniel Fernández-González 34 1 0 09 May 2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems Subhayan De P. Brewick 31 0 0 25 Apr 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations Inyoung Paik Jaesik Choi 18 0 0 23 Apr 2023
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey J. Zhong Zheng Liu Xiangshan Chen ViT 44 17 0 21 Apr 2023
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently J. Rahman Faiza Makhdoom D. Lu 19 7 0 18 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 13 74 0 07 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He-Nan Wang 47 94 0 02 Apr 2023
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles Daichi Saito Eri Nagatomo Jefferson Pardomuan Hideki Koike 19 0 0 01 Apr 2023
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching Jiahuan Yu Jiahao Chang Jianfeng He Tianzhu Zhang Feng Wu 25 20 0 29 Mar 2023