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 / 654 papers shown

Title
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 31 10 0 31 Jan 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 47 4 0 25 Jan 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series Tareq Tayeh Sulaiman A. Aburakhia Ryan Myers Abdallah Shami AI4TS 47 33 0 23 Jan 2022
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases I. Mason Sebastian Starke Taku Komura 3DH 43 47 0 12 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs Raj K. Shrestha Daniel Romero S. Chepuri 25 37 0 11 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 26 8 0 04 Jan 2022
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 39 312 0 30 Dec 2021
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation Jiaxing Yan Hong Zhao Penghui Bu Yusheng Jin 3DPC MDE 13 127 0 24 Dec 2021
Deep ensembles in bioimage segmentation L. Nanni Daniela Cuza A. Lumini Andrea Loreggia S. Brahnam SSeg 18 8 0 24 Dec 2021
Squareplus: A Softplus-Like Algebraic Rectifier Jonathan T. Barron 19 19 0 22 Dec 2021
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass Stefan Oehmcke Leiyuan Li Katerina Trepekli J. Revenga T. Nord‐Larsen Fabian Gieseke Christian Igel 3DPC 20 35 0 21 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 26 0 0 20 Dec 2021
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture Kieran Wood Sven Giegerich Stephen J. Roberts S. Zohren AI4TS AIFin 15 21 0 16 Dec 2021
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy Badr AlKhamissi Akshay Srinivasan Zeb-Kurth Nelson Samuel Ritter 30 1 0 14 Dec 2021
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation Shayan Aziznejad Joaquim Campos M. Unser 19 9 0 12 Dec 2021
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs Alexandros Lattas Stylianos Moschoglou Stylianos Ploumpis Baris Gecer A. Ghosh S. Zafeiriou 3DH 55 60 0 11 Dec 2021
Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition Zhenxin Wu Qingliang Chen Yifeng Liu Yinqi Zhang Chengkai Zhu Yang Yu ObjD 32 0 0 08 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
Autoencoders for Semivisible Jet Detection F. Canelli A. de Cosa L. Le Pottier J. Niedziela K. Pedro M. Pierini 24 32 0 06 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 30 1 0 02 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image Rahul Dey Vishnu Naresh Boddeti CVBM 3DH 29 7 0 01 Dec 2021
FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks Nicolas Olivier Kelian Baert F. Danieau Franck Multon Quentin Avril CVBM 3DH 36 18 0 01 Dec 2021
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction Wei-Cheng Tseng Po-Han Chi Jiahong Wu Min Sun 19 0 0 01 Dec 2021
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model A. Sengupta Ignas Budvytis R. Cipolla 3DH 19 5 0 30 Nov 2021
Generative Convolution Layer for Image Generation Seung-won Park Y. Shin 21 11 0 30 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 29 4 0 29 Nov 2021
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms Liyan Chang Paula Branco 16 37 0 26 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 38 50 0 25 Nov 2021
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment Yijun Cao Xian-Shi Zhang Fuya Luo Peng Peng Yongjie Li 22 10 0 22 Nov 2021
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos Christian Schmidt A. Athar Sabarinath Mahadevan Bastian Leibe VOS 24 30 0 15 Nov 2021
SMU: smooth activation function for deep networks using smoothing maximum technique Koushik Biswas Sandeep Kumar Shilpak Banerjee A. Pandey 28 32 0 08 Nov 2021
A Variational U-Net for Weather Forecasting Pak Hay Kwok Qi Qi 18 4 0 05 Nov 2021
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks Ivan Kapelyukh Edward Johns SSL 21 40 0 04 Nov 2021
A System for General In-Hand Object Re-Orientation Tao Chen Jie Xu Pulkit Agrawal 42 250 0 04 Nov 2021
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach Changyin Sun Lijun Sun 14 6 0 02 Nov 2021
Subquadratic Overparameterization for Shallow Neural Networks Chaehwan Song Ali Ramezani-Kebrya Thomas Pethick Armin Eftekhari V. Cevher 27 31 0 02 Nov 2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific Andrew Jesson P. Manshausen A. Douglas D. Watson‐Parris Y. Gal P. Stier AI4Cl 13 6 0 28 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 59 337 0 27 Oct 2021
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures Kin G. Olivares N. Meetei Ruijun Ma Rohan Reddy Mengfei Cao Lee Dicker AI4TS 32 24 0 25 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators S. Lowe Robert C. Earle Jason dÉon Thomas Trappenberg Sageev Oore 23 1 0 22 Oct 2021
Learning OFDM Waveforms with PAPR and ACLR Constraints Mathieu Goutay Fayccal Ait Aoudia J. Hoydis J. Gorce 16 4 0 21 Oct 2021
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation Qiming Hu Xiaojie Guo 32 43 0 20 Oct 2021
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion Rahul Dey Vishnu Naresh Boddeti CVBM 3DH 13 4 0 20 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 27 43 0 13 Oct 2021
Hiding Images into Images with Real-world Robustness Qichao Ying Hang Zhou Xianhan Zeng Haisheng Xu Zhenxing Qian Xinpeng Zhang WIGM 23 14 0 12 Oct 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Hedvig Kjellström Yingzhen Li Gabriele Schweikert Hedvig Kjellstrom Yingzhen Li BDL CML AI4TS 39 5 0 12 Oct 2021
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 42 32 0 11 Oct 2021
A Survey of Online Auction Mechanism Design Using Deep Learning Approaches Zhanhao Zhang 21 4 0 11 Oct 2021