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)"

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Title
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 33 4 0 18 May 2021
Activation function design for deep networks: linearity and effective initialisation Michael Murray V. Abrol Jared Tanner ODL LLMSV 29 18 0 17 May 2021
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings Soumi Maiti Hakan Erdogan K. Wilson Scott Wisdom Shinji Watanabe J. Hershey 27 21 0 05 May 2021
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation T. S. Jepsen Christian S. Jensen Thomas D. Nielsen OT AI4TS 82 2 0 27 Apr 2021
Federated Learning for Malware Detection in IoT Devices Valerian Rey Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Martin Jaggi FedML 41 252 0 15 Apr 2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks Salva Rühling Cachay Emma Erickson A. Bucker Ernest Pokropek Willa Potosnak S. Bire Salomey Osei Björn Lütjens AI4TS 16 25 0 11 Apr 2021
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data Hao Guan Chaoyue Wang Dacheng Tao 18 30 0 08 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection J. Collins P. Martín-Ramiro Benjamin Nachman David Shih 29 44 0 05 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 33 100 0 03 Apr 2021
Comparison of different convolutional neural network activation functions and methods for building ensembles L. Nanni Gianluca Maguolo S. Brahnam M. Paci 16 8 0 29 Mar 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 22 31 0 29 Mar 2021
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 24 59 0 19 Mar 2021
Recent Advances in Deep Learning Techniques for Face Recognition Md. Tahmid Hasan Fuad Awal Ahmed Fime Delowar Sikder Md. Akil Raihan Iftee Jakaria Rabbi Mabrook S. Al-Rakhami Abdu H. Gumaei Ovishake Sen Mohtasim Fuad Md. Nazrul Islam 34 63 0 18 Mar 2021
Decoupled Spatial Temporal Graphs for Generic Visual Grounding Qi Feng Yunchao Wei Mingming Cheng Yi Yang 27 5 0 18 Mar 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 50 209 0 12 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 41 195 0 08 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 48 247 0 04 Mar 2021
Flexible Model Aggregation for Quantile Regression Rasool Fakoor Tae-Soo Kim Jonas W. Mueller Alexander J. Smola R. Tibshirani 22 19 0 26 Feb 2021
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services Dominik Scheinert Alexander Acker 24 11 0 25 Feb 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 43 225 0 22 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 217 0 12 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 159 0 09 Feb 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zhe Zhang 44 46 0 27 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 113 76 0 21 Jan 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor R. L. Jin 36 3 0 12 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy Zehao Wang D. Guo Zhangren Tu Yihui Huang Yirong Zhou ... Donghai Lin Yongfu You Tatiana Agback V. Orekhov X. Qu 39 34 0 29 Dec 2020
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast Juan Eugenio Iglesias Benjamin Billot Yael Balbastre A. Tabari J. Conklin Daniel C. Alexander Polina Golland B. Edlow Bruce Fischl 42 100 0 24 Dec 2020
An overview on deep learning-based approximation methods for partial differential equations C. Beck Martin Hutzenthaler Arnulf Jentzen Benno Kuckuck 30 146 0 22 Dec 2020
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details Seunggeun Kim Kfir Aberman Nori Kanazawa Rahul Garg Neal Wadhwa Huiwen Chang Nikhil Karnad Munchurl Kim O. Liba SupR 27 19 0 17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation Mehdi Bahri Eimear O' Sullivan Shunwang Gong Feng Liu Xiaoming Liu M. Bronstein S. Zafeiriou CVBM 3DH 29 16 0 16 Dec 2020
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion Arda Duzcceker S. Galliani Christoph Vogel Pablo Speciale Mihai Dusmanu Marc Pollefeys MDE 15 96 0 03 Dec 2020
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles Yihao Zhang Zhaojie Chai G. Lykotrafitis 10 29 0 30 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 30 5 0 27 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 39 241 0 21 Nov 2020
Age Gap Reducer-GAN for Recognizing Age-Separated Faces Daksha Yadav Naman Kohli Mayank Vatsa Richa Singh A. Noore CVBM GAN 19 8 0 11 Nov 2020
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats Yunkui Pang Zhiqing Pan Ruiyang Sun Shuchong Wang 11 0 0 09 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 26 40 0 07 Nov 2020
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning Hock Hung Chieng Noorhaniza Wahid P. Ong 21 6 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds Yara Ali Alnaggar Mohamed Afifi K. Amer Mohamed ElHelw 3DPC 26 43 0 03 Nov 2020
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients Misha P. T. Kaandorp S. Barbieri R. Klaassen H. Laarhoven H. Crezee P. T. While A. Nederveen O. Gurney-Champion 8 75 0 03 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 20 168 0 01 Nov 2020
Cascaded Models With Cyclic Feedback For Direct Speech Translation Tsz Kin Lam Shigehiko Schamoni Stefan Riezler 30 12 0 21 Oct 2020
Real-time Speech Frequency Bandwidth Extension Yunpeng Li Marco Tagliasacchi Oleg Rybakov Victor Ungureanu Dominik Roblek 17 47 0 21 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 23 7 0 17 Oct 2020
Permutation invariant networks to learn Wasserstein metrics Arijit Sehanobish N. Ravindra David van Dijk OOD 22 2 0 12 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 324 0 07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020