A Survey of the Recent Architectures of Deep Convolutional Neural Networks

17 January 2019

Papers citing "A Survey of the Recent Architectures of Deep Convolutional Neural Networks"

50 / 243 papers shown

Title
On the Robustness of Split Learning against Adversarial Attacks Mingyuan Fan Cen Chen Chengyu Wang Wenmeng Zhou Jun Huang AAML 20 8 0 16 Jul 2023
Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for Automated Structural Condition Assessment in Visual Inspection Chenyu Zhang Zhaozheng Yin Ruwen Qin 27 11 0 14 Jul 2023
Attention Hybrid Variational Net for Accelerated MRI Reconstruction Guoyao Shen Boran Hao Mengyu Li Chad W. Farris I. Paschalidis Stephan W. Anderson X. Zhang 25 2 0 21 Jun 2023
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer Yongquan Yang Fengling Li Yani Wei Yuanyuan Zhao Jing Fu Xiuli Xiao Hong Bu 33 3 0 19 Jun 2023
AI-Supported Assessment of Load Safety Julius Schöning Niklas Kruse 22 0 0 06 Jun 2023
A Generic Performance Model for Deep Learning in a Distributed Environment Tulasi Kavarakuntla Liangxiu Han H. Lloyd Annabel Latham Anthony Kleerekoper S. Akintoye 31 0 0 19 May 2023
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images Momina Liaqat Ali Zunaira Rauf Asifullah Khan A. Sohail Rafi Ullah Jeonghwan Gwak MedIm ViT 36 2 0 16 May 2023
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation Abdul Rehman Khan Asifullah Khan ViT MedIm 39 14 0 15 May 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Lars Skaaret-Lund G. Storvik A. Hubin BDL UQCV 30 3 0 05 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform Kyungchul Park Hyun-Kyo Chung 17 0 0 02 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 43 31 0 30 Apr 2023
Towards AI-Architecture Liberty: A Comprehensive Survey on Design and Generation of Virtual Architecture by Deep Learning Anqi Wang Jiahua Dong Lik-Hang Lee Jiachuan Shen Pan Hui 3DV AI4CE 46 1 0 30 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 16 2 0 24 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian V. Dalca 33 0 0 11 Apr 2023
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance Vasco Lopes Bruno Degardin L. A. Alexandre 30 5 0 29 Mar 2023
Towards Understanding the Effect of Pretraining Label Granularity Guanzhe Hong Huayu Chen Ariel Fuxman Stanley H. Chan Enming Luo 19 2 0 29 Mar 2023
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments A. Medellín Anant Bhamri R. Langari Swaminathan Gopalswamy 11 3 0 27 Mar 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks Xiang-Yu He Yang Li Dongcheng Zhao Qingqun Kong Yi Zeng 42 6 0 23 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang Kui Jia OOD 31 13 0 16 Mar 2023
On Modifying a Neural Network's Perception Manuel de Sousa Ribeiro João Leite AAML 19 1 0 05 Mar 2023
Deep Neural Networks based Meta-Learning for Network Intrusion Detection A. Sohail B. Ayisha I. Hameed Muhammad Mohsin Zafar Hani Alquhayz Asifullah Khan 28 5 0 18 Feb 2023
A Survey of Deep Learning: From Activations to Transformers Johannes Schneider Michalis Vlachos ViT MedIm AI4TS AI4CE 50 9 0 01 Feb 2023
Patch Gradient Descent: Training Neural Networks on Very Large Images D. K. Gupta Gowreesh Mago Arnav Chavan Dilip K. Prasad 32 2 0 31 Jan 2023
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning P. Singh Jacopo Cirrone SSL 40 0 0 27 Jan 2023
Genetically Modified Wolf Optimization with Stochastic Gradient Descent for Optimising Deep Neural Networks Manuel Bradicic M. Sitarz Felix Sylvest Olesen 14 0 0 21 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 39 2 0 03 Jan 2023
A Segmentation Method for fluorescence images without a machine learning approach G. Giacopelli M. Migliore D. Tegolo 11 0 0 28 Dec 2022
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection Dr. Saddam Hussain Khan Wasi Ullah 24 30 0 15 Dec 2022
AI Model Utilization Measurements For Finding Class Encoding Patterns P. Bajcsy Antonio Cardone Chenyi Ling Philippe Dessauw Michael Majurski Timothy Blattner D. Juba Walid Keyrouz 27 0 0 12 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework Shikhar Tuli Chia-Hao Li Ritvik Sharma N. Jha 36 13 0 07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 23 18 0 04 Dec 2022
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN Mirza Mumtaz Zahoor Dr. Saddam Hussain Khan 18 28 0 29 Nov 2022
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types Zhenhao Shuai Hongbo Liu Zhaolin Wan Wei-jie Yu Jinchao Zhang 21 3 0 27 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 19 18 0 16 Nov 2022
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation Rostyslav-Mykola Tsenov Christopher J. Henry J. Storie C. Storie Brent Murray Mikhail Sokolov 27 2 0 07 Nov 2022
Verifying And Interpreting Neural Networks using Finite Automata Marco Salzer Eric Alsmann Florian Bruse M. Lange AAML 25 3 0 02 Nov 2022
Exploring Effects of Computational Parameter Changes to Image Recognition Systems Nikolaos Louloudakis Perry Gibson José Cano A. Rajan 13 6 0 01 Nov 2022
On effects of Knowledge Distillation on Transfer Learning Sushil Thapa 16 1 0 18 Oct 2022
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks Andrés Vasco-Carofilis Laura Fernández-Robles Enrique Alegre Eduardo FIDALGO 40 1 0 28 Sep 2022
Deep learning and machine learning for Malaria detection: overview, challenges and future directions Imen Jdey Ghazala Hcini Hela Ltifi 13 25 0 27 Sep 2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations Shihong Zhang Chi Zhang Bo Wang AI4CE 24 3 0 06 Sep 2022
ProBoost: a Boosting Method for Probabilistic Classifiers Fábio Mendonça S. Mostafa F. Morgado‐Dias A. Ravelo-García Mário A. T. Figueiredo UQCV 11 0 0 04 Sep 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels E. Santana G. Carneiro F. Cordeiro NoLa 29 6 0 23 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 11 7 0 20 Aug 2022
Deep convolutional surrogates and degrees of freedom in thermal design Hadi Keramati F. Hamdullahpur AI4CE 31 0 0 16 Aug 2022
Generative Design of Physical Objects using Modular Framework Nikita O. Starodubcev Nikolay O. Nikitin Konstantin G. Gavaza Elizaveta A. Andronova D. O. Sidorenko Anna V. Kaluzhnaya 14 5 0 29 Jul 2022
TreeSketchNet: From Sketch To 3D Tree Parameters Generation Gilda Manfredi N. Capece U. Erra M. Gruosso 16 11 0 25 Jul 2022
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation Vasco Lopes Miguel Santos Bruno Degardin L. A. Alexandre 47 3 0 22 Jul 2022
Tailoring Self-Supervision for Supervised Learning WonJun Moon Ji-Hwan Kim Jae-Pil Heo SSL 14 10 0 20 Jul 2022
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring Leonardo F. S. Scabini B. De Baets Odemir M. Bruno AI4CE 23 6 0 17 Jul 2022