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

October 3, 2023

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
Eisa Hedayati, Fatemeh Safari, George Verghese, Vito R. Ciancia, Daniel K. Sodickson, Seena Dehkharghani, Leeor Alon
Deep Learning Data Detection Experimental Design Ultra Wideband Hemorrhage Area Dielectric Tensor
An evaluation of pre-trained models for feature extraction in image classification
Erick da Silva Puls, Matheus V. Todescato, Joel L. Carbonera
Deep Learning Global Evaluation Pre Trained Model Image Classification Feature Extraction Image Classification Task Different Pre Trained Transfer Learning Strategy
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
Etienne Pochet, Rami Maroun, Roger Trullo
Deep Learning Self Attention Multiple Instance Learning Computational Pathology Instance Learning Whole Slide Image Classification Relative Positional Encoding

October 2, 2023

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
Emanuele Zappala, Daniel Levine, Sizhuang He, Syed Rizvi, Sacha Levy, David van Dijk
Neural Network Deep Learning Deep Neural Network Operator Learning Value Iteration Numerical Method Iterative Method
Faster and Accurate Neural Networks with Semantic Inference
Sazzad Sayyed, Jonathan Ashdown, Francesco Restuccia
Neural Network Deep Learning Deep Neural Network Structured Pruning Semantic Structure
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
Flavio Giobergia, Alkis Koudounas, Elena Baralis
Deep Learning Exoplanet Candidate Atmospheric Model Multi Target Atmospheric Parameter
Towards guarantees for parameter isolation in continual learning
Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
Deep Learning Deep Neural Network Continual LEArning Catastrophic Forgetting Continual Learning Formal Guarantee Continual Learning Algorithm Parameter Isolation
Modularity in Deep Learning: A Survey
Haozhe Sun, Isabelle Guyon
Deep Learning Timely Survey Modularity Function
Predicting emergence of crystals from amorphous matter with deep learning
Muratahan Aykol, Amil Merchant, Simon Batzner, Jennifer N. Wei, Ekin Dogus Cubuk
Deep Learning Crystalline Material Quantifying Emergence Amorphous Fortress
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
Suresh Kumar, Dhanyashri Guruparan, Pavithren Aaron, Philemon Telajan, Kavinesh Mahadevan, Dinesh Davagandhi, Ong Xin Yue
Deep Learning Technical Challenge Computational Biology Future Perspective DNA Methylation Gene Regulation DNA Sequence Classification

October 1, 2023

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal
Han Yu, Huiyuan Yang, Akane Sano
Deep Learning Electrocardiogram Signal Electrocardiogram Recording Segment Representation Heartbeat Segment
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, Bill Howe
Neural Network Deep Learning Deep Model Multi Modal Model Plant Growth Simulation
Review of deep learning in healthcare
Hasan Hejbari Zargar, Saha Hejbari Zargar, Raziye Mehri
Deep Learning Narrative Review Healthcare System Healthcare Data
You Do Not Need Additional Priors in Camouflage Object Detection
Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, Zhongbo Li
Deep Learning Feature Aggregation Image Feature SAM Prior Multi Level Feature Camouflage Object Detection

September 29, 2023

DataDAM: Efficient Dataset Distillation with Attention Matching
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
Deep Learning Synthetic Data Synthetic Image Dataset Distillation
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT
Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul Armitage, Emanuele Trucco, Joanna Wardlaw, Amos Storkey
Deep Learning Development Activity Acute Ischemic Stroke
A Survey on Deep Learning Techniques for Action Anticipation
Zeyun Zhong, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer
Deep Learning Timely Survey Human Robot Interaction Action Anticipation Daily Living
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data
Dylan Peek, Matt P. Skerritt, Stephan Chalup
Deep Learning Synthetic Data Generation Topological Feature Persistent Homology 3D Data Topological Analysis Topological Metric Topology Based Label

September 28, 2023

Deep Learning based Systems for Crater Detection: A Review
Atal Tewari, K Prateek, Amrita Singh, Nitin Khanna
Deep Learning Narrative Review System Description Crater Detection
Novel Deep Learning Pipeline for Automatic Weapon Detection
Haribharathi Sivakumar, Vijay Arvind. R, Pawan Ragavendhar, G. Balamurugan
Neural Network Deep Learning Convolutional Neural Network Real Time Novel Pipeline Weapon Detection

Deep Learning

Papers

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning

An evaluation of pre-trained models for feature extraction in image classification

RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification

Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods

Faster and Accurate Neural Networks with Semantic Inference

Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning

Towards guarantees for parameter isolation in continual learning

Modularity in Deep Learning: A Survey

Predicting emergence of crystals from amorphous matter with deep learning

Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal

Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology

Review of deep learning in healthcare

You Do Not Need Additional Priors in Camouflage Object Detection

DataDAM: Efficient Dataset Distillation with Attention Matching

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT

A Survey on Deep Learning Techniques for Action Anticipation

Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data

Deep Learning based Systems for Crater Detection: A Review

Novel Deep Learning Pipeline for Automatic Weapon Detection