Deep Learning Framework

Deep learning frameworks are computational tools designed to build and train artificial neural networks for diverse applications. Current research emphasizes developing frameworks tailored to specific data types (e.g., tabular, temporal, image, audio) and tasks (e.g., classification, regression, anomaly detection), often incorporating architectures like convolutional neural networks, recurrent neural networks, transformers, and graph neural networks. These frameworks are significantly impacting various fields, from improving medical image analysis and accelerating scientific simulations to optimizing industrial processes and enhancing personalized advertising strategies.

Papers

November 14, 2022

A deep learning framework to generate realistic population and mobility data
Eren Arkangil, Mehmet Yildirimoglu, Jiwon Kim, Carlo Prato
Deep Learning Framework Mobility Data Travel Demand Synthetic Data Augmentation Synthetic Population Travel Behavior Household Travel Survey

November 9, 2022

Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network
Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala
Deep Learning Framework Region Specific User Interest Region of Interest Field of View Pill Prescription Additive Attention

November 4, 2022

Binaural Rendering of Ambisonic Signals by Neural Networks
Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-chiang Wang, Junping Zhang
Neural Network Deep Learning Framework Head Related Transfer Function Order Ambisonics Binaural Rendering

November 1, 2022

Exploring Effects of Computational Parameter Changes to Image Recognition Systems
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Deep Learning Native Robustness Mixed Effect Deep Learning Framework Recognition Task Parameter Update

October 6, 2022

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
Henok Ghebrechristos, Stence Nicholas, David Mirsky, Gita Alaghband, Manh Huynh, Zackary Kromer, Ligia Batista, Brent ONeill, Steven Moulton, Daniel M. Lindberg
Deep Learning Constructive Approach Deep Learning Framework Nine Year Old Child Magnetic Resonance Imaging Data Diffusion Weighted Young Infant Diffusion Coefficient Perihematomal Edema

October 4, 2022

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks
Guoming Long, Tao Chen, Georgina Cosma
Deep Learning Framework Bug Report GitHub Issue Hierarchical Attribution

October 3, 2022

NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang, Tim Mitchell, Ju Sun
Deep Learning Deep Learning Framework General Nonconvex Resource Constraint General Purpose Explicit Constraint

September 22, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
Activation Function Deep Learning Framework Automatic Differentiation Memory Efficient Mode Automatic Differentiation

September 19, 2022

Traffic incident duration prediction via a deep learning framework for text description encoding
Artur Grigorev, Adriana-Simona Mihaita, Khaled Saleh, Massimo Piccardi
Deep Learning Framework Traffic Accident Text Description Traffic Incident Incident Duration Incident Duration Prediction

September 9, 2022

Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio
Mehmet Caner, Maurizio Daniele
Deep Neural Network Deep Learning Framework Customer Service Consistent Estimator Precision Matrix Stochastic Ratio Deep Residual Learning

August 25, 2022

A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation
Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu
Application Proficiency Deep Learning Framework Wasserstein Distance Generalized Geodesic Sample Generation

August 9, 2022

Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
GAN Model Meta Learning Deep Learning Framework Longitudinal Analysis Infant Brain

July 25, 2022

Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Steffen Herbold, Steffen Tunkel
Deep Learning Machine Learning General Analysis Deep Learning Framework Classification Algorithm Depth Information Machine Learning Library Differential Testing

July 19, 2022

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms
Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs
Long Short Term Memory Deep Learning Framework Wind Power Event Sequence Condition Monitoring Phone Sequence

July 18, 2022

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions
Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell
Deep Learning Framework Supervised Contrastive Learning White Matter dMRI Reconstruction Whole Brain Tractography Tractography Parcellation

June 28, 2022

An Empirical Study of Challenges in Converting Deep Learning Models
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming, Jiang
Deep Learning Deep Learning Model Technical Challenge Empirical Study Deep Learning Framework

June 20, 2022

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network
Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler
Deep Learning Transfer Learning Deep Learning Framework Scene Classification Attention Based Deep Remote Sensing Image Classification

May 19, 2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu
Deep Learning Framework General Framework Large Scale Cloud Heterogeneous Cluster Collaborative Deep Learning

May 6, 2022

PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations
Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari
Deep Learning Framework Multiphase Flow

May 5, 2022

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training
Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo
Deep Learning Framework DNN Model DNN Training Performance Bottleneck Dataset Specific Profiling

Deep Learning Framework

Papers

A deep learning framework to generate realistic population and mobility data

Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network

Binaural Rendering of Ambisonic Signals by Neural Networks

Exploring Effects of Computational Parameter Changes to Image Recognition Systems

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks

NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training

Traffic incident duration prediction via a deep learning framework for text description encoding

Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio

A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation

Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network

Differential testing for machine learning: an analysis for classification algorithms beyond deep learning

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions

An Empirical Study of Challenges in Converting Deep Learning Models

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training