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Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

16 March 2016

Papers citing "Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units"

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Title
Deep Actor-Critics with Tight Risk Certificates Bahareh Tasdighi Manuel Haussmann Yi-Shan Wu A. Masegosa M. Kandemir UQCV 88 0 0 26 May 2025
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks Ashkan Shakarami Yousef Yeganeh Azade Farshad Lorenzo Nicolè Stefano Ghidoni Nassir Navab 92 0 0 21 Apr 2025
Experience Replay Addresses Loss of Plasticity in Continual Learning Jiuqi Wang Rohan Chandra Shangtong Zhang CLL KELM 168 0 0 25 Mar 2025
Parseval Regularization for Continual Reinforcement Learning Wesley Chung Lynn Cherif David Meger Doina Precup CLL 123 5 0 10 Dec 2024
Lightweight Gaze Estimation Model Via Fusion Global Information Zhang Cheng Yanxia Wang 174 0 0 27 Nov 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity Baekrok Shin Junsoo Oh Hanseul Cho Chulhee Yun AI4CE 104 1 0 30 Oct 2024
Plastic Learning with Deep Fourier Features Alex Lewandowski Dale Schuurmans Marlos C. Machado CLL 102 3 0 27 Oct 2024
Analytic Convolutional Layer: A Step to Analytic Neural Network Jingmao Cui Donglai Tao Linmi Tao Ruiyang Liu Yu Cheng 49 0 0 03 Jul 2024
Learning Continually by Spectral Regularization Alex Lewandowski Saurabh Kumar Dale Schuurmans András Gyorgy Marlos C. Machado CLL 89 6 0 10 Jun 2024
ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization Bi-Cheng Yan Wei-Cheng Chao Jiun-Ting Li Yi-Cheng Wang Hsin-Wei Wang Meng-Shin Lin Berlin Chen 59 0 0 05 Jun 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 78 6 0 26 May 2024
Hidden Synergy: $L_1$ Weight Normalization and 1-Path-Norm Regularization Aditya Biswas 81 1 0 29 Apr 2024
3D-aware Image Generation and Editing with Multi-modal Conditions Bo Li Yike Li Zhien He Bin Liu Yu-Kun Lai 67 2 0 11 Mar 2024
A Case for Validation Buffer in Pessimistic Actor-Critic Michal Nauman M. Ostaszewski Marek Cygan 68 0 0 01 Mar 2024
BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT Siqi Peng Hongyuan Yang Akihiro Yamamoto 37 3 0 13 Feb 2024
City Scene Super-Resolution via Geometric Error Minimization Zhengyang Lu Feng Wang 46 2 0 14 Jan 2024
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research Xinyu Zhang Vincent C. S. Lee Feng Liu 49 3 0 08 Jan 2024
Directions of Curvature as an Explanation for Loss of Plasticity Alex Lewandowski Haruto Tanaka Dale Schuurmans Marlos C. Machado 110 7 0 30 Nov 2023
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 31 4 0 26 Oct 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Li Shen Xueqian Wang Dacheng Tao OffRL 97 21 0 11 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 130 5 0 11 Oct 2023
Generalized Activation via Multivariate Projection Jiayun Li Yuxiao Cheng Yiwen Lu Zhuofan Xia Yilin Mo Gao Huang LLMSV 37 0 0 29 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications Elvis Nunez Thomas Merth Anish K. Prabhu Mehrdad Farajtabar Mohammad Rastegari Sachin Mehta Maxwell Horton 50 1 0 08 Sep 2023
Maintaining Plasticity in Continual Learning via Regenerative Regularization Saurabh Kumar Henrik Marklund Benjamin Van Roy CLL KELM 128 23 0 23 Aug 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 157 30 0 19 Jun 2023
Learn to Enhance the Negative Information in Convolutional Neural Network Zhicheng Cai Chenglei Peng Qiu Shen 45 0 0 18 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 98 1 0 29 May 2023
A Comparative Study of Face Detection Algorithms for Masked Face Detection Sahel Mohammad Iqbal Danush Shekar Subhankar Mishra CVBM 73 0 0 18 May 2023
Loss of Plasticity in Continual Deep Reinforcement Learning Zaheer Abbas Rosie Zhao Joseph Modayil Adam White Marlos C. Machado CLL OffRL 118 85 0 13 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 70 0 0 08 Mar 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei Wang 65 6 0 23 Jan 2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images Jinhui Hou Zhiyu Zhu Junhui Hou Hui Liu Huanqiang Zeng Deyu Meng 114 6 0 15 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 80 6 0 13 Jan 2023
Increasing biases can be more efficient than increasing weights C. Metta M. Fantozzi Andrea Papini G. Amato Matteo Bergamaschi S. Galfrè Alessandro Marchetti Michelangelo Vegliò Maurizio Parton F. Morandin 56 4 0 03 Jan 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions Vinay Kumar Verma Nikhil Mehta Shijing Si Ricardo Henao Lawrence Carin 50 3 0 23 Oct 2022
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework Tingting Wu Wei Wu Ying Yang Fenglei Fan T. Zeng 105 10 0 11 Oct 2022
Dynamical Isometry for Residual Networks Advait Gadhikar R. Burkholz ODL AI4CE 81 2 0 05 Oct 2022
FaceTopoNet: Facial Expression Recognition using Face Topology Learning Mojtaba Kolahdouzi Alireza Sepas-Moghaddam Ali Etemad 3DH CVBM 55 9 0 13 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 121 74 0 06 Sep 2022
Piecewise Linear Neural Networks and Deep Learning Qinghua Tao Li Li Xiaolin Huang Xiangming Xi Shuning Wang Johan A. K. Suykens 43 30 0 18 Jun 2022
On the Number of Regions of Piecewise Linear Neural Networks Alexis Goujon Arian Etemadi M. Unser 116 15 0 17 Jun 2022
Constrained Monotonic Neural Networks D. Runje Sharath M. Shankaranarayana 64 20 0 24 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth R. Burkholz MLT 115 18 0 04 May 2022
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem Amir Emad Marvasti Ehsan Emad Marvasti Ulas Bagci OOD 43 0 0 23 Mar 2022
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 76 8 0 20 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 55 18 0 09 Mar 2022
Activation Functions: Dive into an optimal activation function V. Bansal FAtt 57 2 0 24 Feb 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks Yifei Zhang Hao Zhu Ziqiao Meng Piotr Koniusz Irwin King 92 32 0 13 Feb 2022
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks Yu Zhao Shaopeng Wei Yu-Meng Guo Qing Yang Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Gang Kou 72 21 0 01 Feb 2022
Training Thinner and Deeper Neural Networks: Jumpstart Regularization Carles Roger Riera Molina Camilo Rey Thiago Serra Eloi Puertas O. Pujol 68 4 0 30 Jan 2022