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
Multimodal and multicontrast image fusion via deep generative models Giovanna Maria Dimitri Simeon E. Spasov A. Duggento L. Passamonti Pietro Lio' N. Toschi MedIm 13 27 0 28 Mar 2023
Nowhere coexpanding functions Andrew Cook A. Hammerlindl W. Tucker 19 0 0 22 Mar 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 32 10 0 10 Mar 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 54 18 0 22 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 16 19 0 22 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 21 1 0 19 Feb 2023
Interpretable Deep Learning Methods for Multiview Learning Hengkang Wang Han Lu Ju Sun S. Safo 35 8 0 15 Feb 2023
How to Use Dropout Correctly on Residual Networks with Batch Normalization Bum Jun Kim Hyeyeon Choi Hyeonah Jang Donggeon Lee Sang Woo Kim 22 7 0 13 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life Tim Whitaker L. D. Whitley CVBM 27 2 0 11 Feb 2023
Hypernetworks build Implicit Neural Representations of Sounds Filip Szatkowski Karol J. Piczak Przemtslaw Spurek Jacek Tabor Tomasz Trzciñski 24 11 0 09 Feb 2023
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study C. Păsăreanu Ravi Mangal D. Gopinath Sinem Getir Yaman Calum Imrie R. Calinescu Huafeng Yu 32 29 0 06 Feb 2023
On a continuous time model of gradient descent dynamics and instability in deep learning Mihaela Rosca Yan Wu Chongli Qin Benoit Dherin 16 6 0 03 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs Theodor Westny Joel Oskarsson Björn Olofsson Erik Frisk 39 31 0 01 Feb 2023
Deep Learning for Reference-Free Geolocation for Poplar Trees Cai W. John Owen Queen W. Muchero S. Emrich 8 0 0 31 Jan 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei-Yue Wang 25 5 0 23 Jan 2023
Empirical study of the modulus as activation function in computer vision applications Iván Vallés-Pérez E. Soria-Olivas M. Martínez-Sober Antonio J. Serrano Joan Vila-Francés J. Gómez-Sanchís 19 15 0 15 Jan 2023
Efficient Activation Function Optimization through Surrogate Modeling G. Bingham Risto Miikkulainen 16 2 0 13 Jan 2023
DiffG-RL: Leveraging Difference between State and Common Sense Tsunehiko Tanaka Daiki Kimura Michiaki Tatsubori 19 0 0 29 Nov 2022
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 26 11 0 29 Nov 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 38 43 0 28 Nov 2022
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution Tomer Friedlander Ron Shmelkin Lior Wolf CVBM 8 1 0 25 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 27 2 0 15 Nov 2022
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack Raksha Ramakrishna Gyorgy Dán 17 2 0 08 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes Libo Sun Jiawang Bian Huangying Zhan Wei Yin Ian Reid Chunhua Shen MDE 23 55 0 07 Nov 2022
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks Filip Szatkowski Karol J. Piczak P. Spurek Jacek Tabor Tomasz Trzciñski 23 12 0 03 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 3 0 28 Oct 2022
Learning Single-Index Models with Shallow Neural Networks A. Bietti Joan Bruna Clayton Sanford M. Song 167 67 0 27 Oct 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data Dario Coscia L. Meneghetti N. Demo G. Stabile G. Rozza 16 8 0 24 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Stochastic Adaptive Activation Function Kyungsu Lee Jaeseung Yang Haeyun Lee J. Y. Hwang 30 3 0 21 Oct 2022
Nish: A Novel Negative Stimulated Hybrid Activation Function Yildiray Anagün Ş. Işık 19 2 0 17 Oct 2022
Macaw: The Machine Learning Magnetometer Calibration Workflow Jonathan Bader K. Styp-Rekowski Leon Doehler Soeren Becker O. Kao 34 4 0 17 Oct 2022
Deep learning extraction of band structure parameters from density of states: a case study on trilayer graphene Paul Henderson A. Ghazaryan A. Zibrov A. Young Maksym Serbyn 6 3 0 12 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh V. Chawla 21 32 0 12 Oct 2022
AMICO: Amodal Instance Composition Peiye Zhuang D. Demandolx Ayush Saraf Xuejian Rong Changil Kim Jia-Bin Huang DiffM 21 0 0 11 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation Jhony H. Giraldo V. M. Scarrica A. Staiano F. Camastra T. Bouwmans GNN 17 17 0 11 Oct 2022
Boost Event-Driven Tactile Learning with Location Spiking Neurons Pengxin Kang Srutarshi Banerjee Henry H. Chopp Aggelos K. Katsaggelos O. Cossairt 13 9 0 09 Oct 2022
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders Per-Arne Andersen Ole-Christoffer Granmo Morten Goodwin OOD 28 0 0 03 Oct 2022
Cross Task Neural Architecture Search for EEG Signal Classifications Yiqun Duan Zhen Wang Yi Li Jianhang Tang Yu-Kai Wang Chin-Teng Lin 21 3 0 01 Oct 2022
AudioGen: Textually Guided Audio Generation Felix Kreuk Gabriel Synnaeve Adam Polyak Uriel Singer Alexandre Défossez Jade Copet Devi Parikh Yaniv Taigman Yossi Adi DiffM 27 289 0 30 Sep 2022
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification Muhammad N. ElNokrashy Badr AlKhamissi Mona T. Diab MoMe 19 4 0 30 Sep 2022
Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer Chenglong Li Qiwen Zhu Tubiao Liu Jin Tang Yu Su 32 1 0 25 Sep 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 46 8 0 23 Sep 2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Lisi Qarkaxhija Vincenzo Perri Ingo Scholtes CML AI4CE 13 6 0 17 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 25 23 0 16 Sep 2022
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation Dae-Young Song Geonsoo Lee H. Lee Gi-Mun Um Donghyeon Cho 25 22 0 13 Sep 2022