Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

December 6, 2023

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning
Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi
Deep Learning Camera Lens 3D Rotational Dynamic Cataract Surgery
Deep Learning for Koopman-based Dynamic Movement Primitives
Tyler Han, Carl Glen Henshaw
Deep Learning Dexterous Manipulation Dynamic Locomotion Dynamic Movement Primitive Whole Arm Manipulation

December 5, 2023

Deep Learning for Fast Inference of Mechanistic Models' Parameters
Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolas Cruz-Bournazou
Deep Learning Many Parameter Fast Inference Mechanistic Model
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
Omer Subasi, Oceane Bel, Joseph Manzano, Kevin Barker
Deep Learning Machine Learning LeArning Abstract New Machine Narrative Review Landscape Image
Inspecting Model Fairness in Ultrasound Segmentation Tasks
Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou
Deep Learning Model Fairness Fair Model Ultrasound Dataset Ultrasound Segmentation Task
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey
Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
Large Language Model Deep Learning Foundation Model Comprehensive Survey Data Driven Model Climate Data

December 4, 2023

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Zhou, Amir Barati Farimani
Deep Learning Transformer Megatron Decepticons Self Supervised Transformer Model Adaptive Importance Machine Condition Monitoring Fault Classification
The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
Kaitlyn Wang, Jian Ge, Kevin Willis, Kevin Wang, Yinan Zhao
Deep Learning Light Curve Planetary Transit
Investigating the ability of deep learning to predict Welding Depth and Pore Volume in Hairpin Welding
Amena Darwish, Stefan Ericson, Rohollah Ghasemi, Tobias Andersson, Dan Lönn, Andreas Andersson Lassila, Kent Salomonsson
Deep Learning Critique Ability Pore Space Critical Weld Key Performance Characteristic
Survey on deep learning in multimodal medical imaging for cancer detection
Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao
Deep Learning Timely Survey Imaging Technique Deep Learning Based Object Cancer Detection Multi Modality Imaging Small Lesion

December 3, 2023

Foveation in the Era of Deep Learning
George Killick, Paul Henderson, Paul Siebert, Gerardo Aragon-Camarasa
Deep Learning Deep Convolutional Neural Network State of the Art New Era Object Recognition Active Vision Vision Architecture
Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey
Seyed Hesamoddin Hosseini, Amir Hossein Taherinia, Mahdi Saadatmand
Deep Learning Timely Survey Computer Aided Design Pulmonary Angiography Pulmonary Embolism Pulmonary Embolism Diagnosis

December 2, 2023

Can We Learn Communication-Efficient Optimizers?
Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
Deep Learning Communication Efficient Local SGD
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines
Mustafa Yurdakul, Sakir Tasdemir
Deep Learning Deep Neural Network Deep Learning Approach Deep Learning System Industrial Machine Acoustic Signal MEL Spectrogram Acoustic Signal Processing

December 1, 2023

GFN-SR: Symbolic Regression with Generative Flow Networks
Sida Li, Ioana Marinescu, Sebastian Musslick
Deep Learning Deep Reinforcement Learning Symbolic Regression Generative Flow Network
A Generalizable Deep Learning System for Cardiac MRI
Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Robyn Fong, Ross Warren Filice, John Mongan, Kimberly Kalianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter Witschey, Alejandro de Feria, Victor Ferrari, Euan Ashley, Michael A. Acker, Curtis Langlotz, William Hiesinger
Deep Learning Cardiac Magnetic Resonance Deep Learning System Cine Cardiac Magnetic Resonance
Student Activity Recognition in Classroom Environments using Transfer Learning
Anagha Deshpande, Vedant Deshpande
Deep Learning Transfer Learning Activity Recognition Classification Task

Deep Learning

Papers

Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning

Deep Learning for Koopman-based Dynamic Movement Primitives

Deep Learning for Fast Inference of Mechanistic Models' Parameters

The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning

Inspecting Model Fairness in Ultrasound Segmentation Tasks

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification

The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits

Investigating the ability of deep learning to predict Welding Depth and Pore Volume in Hairpin Welding

Survey on deep learning in multimodal medical imaging for cancer detection

Foveation in the Era of Deep Learning

Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey

Can We Learn Communication-Efficient Optimizers?

Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines

GFN-SR: Symbolic Regression with Generative Flow Networks

A Generalizable Deep Learning System for Cardiac MRI

Student Activity Recognition in Classroom Environments using Transfer Learning

Continuous 16-bit Training: Accelerating 32-bit Pre-Trained Neural Networks

Identifying tourist destinations from movie scenes using Deep Learning

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends