Maxout Networks

18 February 2013

Aaron Courville

Papers citing "Maxout Networks"

50 / 810 papers shown

Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 34 0 0 05 May 2025
Sparse Hybrid Linear-Morphological Networks Konstantinos Fotopoulos C. Garoufis Petros Maragos 21 0 0 12 Apr 2025
Shrinkage Initialization for Smooth Learning of Neural Networks Miao Cheng Feiyan Zhou Hongwei Zou Limin Wang AI4CE 36 0 0 12 Apr 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes Yuhao Zhang Xiangru Xu AAML 58 0 0 13 Mar 2025
An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet Hongyu Liu Guowu Yuan Lei Yang Kunxiao Liu Hao Zhou 64 22 0 10 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 44 0 0 11 Aug 2024
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception Shaohong Wang Lu Bin Xinyu Xiao Zhiyu Xiang Hangguan Shan Eryun Liu ViT 42 2 0 13 Jul 2024
Trainable Highly-expressive Activation Functions Irit Chelly Shahaf E. Finder Shira Ifergane O. Freifeld 31 4 0 10 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 49 1 0 02 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 69 1 0 01 Jul 2024
Semiring Activation in Neural Networks B. Smets Peter D. Donker Jim W. Portegies LLMSV 21 0 0 29 May 2024
Recurrent Natural Policy Gradient for POMDPs Semih Cayci A. Eryilmaz 26 0 0 28 May 2024
Towards Explaining Hypercomplex Neural Networks Eleonora Lopez Eleonora Grassucci D. Capriotti Danilo Comminiello 40 3 0 26 Mar 2024
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows Shujian Zhang Lemeng Wu Chengyue Gong Xingchao Liu DiffM 53 3 0 25 Mar 2024
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis Semih Cayci A. Eryilmaz 26 3 0 19 Feb 2024
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions Vladimír Kunc 21 1 0 14 Feb 2024
CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition Quang-Cuong Pham Giang Do Huy Nguyen TrungTin Nguyen Chenghao Liu ... Binh T. Nguyen Savitha Ramasamy Xiaoli Li Steven C. H. Hoi Nhat Ho 25 17 0 04 Feb 2024
Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks Kurt Pasque Christopher Teska Ruriko Yoshida Keiji Miura Jefferson Huang AAML 24 2 0 01 Feb 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 32 37 0 14 Dec 2023
VINNA for Neonates -- Orientation Independence through Latent Augmentations Leonie Henschel David Kügler Lilla Zöllei Martin Reuter 37 2 0 29 Nov 2023
Developing a Named Entity Recognition Dataset for Tagalog Lester James Validad Miranda 17 5 0 13 Nov 2023
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models Florian Schmid Khaled Koutini Gerhard Widmer 18 11 0 24 Oct 2023
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network Caizhen He Hai Wang Long Chen Tong Luo Yingfeng Cai 29 3 0 10 Oct 2023
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities Rahul Parhi Michael Unser 39 5 0 05 Oct 2023
The Geometric Structure of Fully-Connected ReLU Layers Jonatan Vallin K. Larsson M. Larson 18 2 0 05 Oct 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 26 0 0 03 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. R. Mahmood CLL 42 9 0 02 Oct 2023
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring Florent Forest Hugo Porta D. Tuia Olga Fink 24 7 0 20 Sep 2023
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation Hong Li Xingyu Li Pengbo Hu Yinuo Lei Chunxiao Li Yi Zhou 39 20 0 15 Aug 2023
Phased Deep Spatio-temporal Learning for Highway Traffic Volume Prediction Weilong Ding Tianpu Zhang Zhe Wang AI4TS 21 0 0 11 Aug 2023
Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News Detection Shafna Fitria Nur Azizah Hasan Dwi Cahyono S. W. Sihwi Wisnu Widiarto 8 12 0 09 Aug 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
A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation Adam Perrett Danny Wood Gavin Brown 21 0 0 16 Jul 2023
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity Xundong Wu Pengfei Zhao Zilin Yu Lei Ma K. Yip Huajin Tang Gang Pan Poirazi Panayiota Tiejun Huang 18 0 0 21 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 56 27 0 19 Jun 2023
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs Siyuan Wang Zhongyu Wei Meng Han Zhihao Fan Haijun Shan Qi Zhang Xuanjing Huang 27 6 0 23 May 2023
Physical Layer Authentication and Security Design in the Machine Learning Era T. M. Hoang Alireza Vahid H. Tuan L. Hanzo 24 17 0 16 May 2023
Evolution under Length Constraints for CNN Architecture design Ousmane Youme J. Dembele E. C. Ezin C. Cambier 3DV 25 1 0 05 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 32 0 29 Apr 2023
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks Mofassir ul Islam Arif M. Jameel Josif Grabocka Lars Schmidt-Thieme 21 0 0 14 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 40 7 0 23 Mar 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators Malte J. Rasch C. Mackin Manuel Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr Abu Sebastian Vijay Narayanan 13 83 0 16 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue Thomas Mulc Debidatta Dwibedi SSL 10 0 0 10 Feb 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 30 31 0 27 Jan 2023
Deep Residual Compensation Convolutional Network without Backpropagation Mubarakah Alotaibi R. Wilson ODL 12 0 0 27 Jan 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 35 9 0 20 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 37 7 0 19 Jan 2023