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

September 7, 2023

A Food Package Recognition and Sorting System Based on Structured Light and Deep Learning
Xuanzhi Liu, Jixin Liang, Yuping Ye, Zhan Song, Juan Zhao
Deep Learning Robotic Arm Structured Light Auxiliary Sorting Network Rearranges Food Recognition Robotic Arm System Robotic Arm Grasping
Dataset Generation and Bonobo Classification from Weakly Labelled Videos
Pierre-Etienne Martin
Deep Learning Dataset Generation Great Ape Weakly Labeled Unconstrained Video
Spiking Structured State Space Model for Monaural Speech Enhancement
Yu Du, Xu Liu, Yansong Chua
Deep Learning Spiking Neural Network Speech Enhancement Monaural Speech Enhancement Spiking Element Wise
Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study
Christoph Wies, Lucas Schneider, Sarah Haggenmueller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V. Heppt, Gerardo Ferrara, Eva I. Krieghoff-Henning, Titus J. Brinker
Deep Learning Global Evaluation Simple Classifier Histopathology Image Immunohistochemistry Image Multi Center Study Melanoma Classification

September 5, 2023

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces
Helena Williams, João Pedrosa, Muhammad Asad, Laura Cattani, Tom Vercauteren, Jan Deprest, Jan D'hooge
Deep Learning Learning Based 3D Segmentation Automatic Segmentation Interactive Segmentation 3D Fa\c{c}ade Detail
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
Deep Learning Application Proficiency Active Learning Uncertainty Estimation Benchmark Datasets Sample Allocation
A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection
Daniel Capellán-Martín, Juan J. Gómez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo
Deep Learning Convolutional Neural Network Tuberculosis Treatment
Data Scaling Effect of Deep Learning in Financial Time Series Forecasting
Chen Liu, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Robert Kohn
Deep Learning Deep Learning Model Deep Learning Based Financial Time Series Volatility Forecasting
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Deep Learning Machine Learning Artificial Intelligence High Efficiency Environment Feature Critical Review Machine Learning System Sustainable Artificial Intelligence
Dynamic Early Exiting Predictive Coding Neural Networks
Alaa Zniber, Ouassim Karrakchou, Mounir Ghogho
Deep Learning Image Classification Internet of Thing Predictive Coding Shallow Network Smart Building
Establishing a real-time traffic alarm in the city of Valencia with Deep Learning
Miguel Folgado, Veronica Sanz, Johannes Hirn, Edgar Lorenzo-Saez, Javier Urchueguia
Deep Learning Long Short Term Memory Urban Environment Traffic Data Traffic Flow Traffic Efficiency

September 4, 2023

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets
Pierre Guetschel, Michael Tangermann
Deep Learning Data Set Transfer Learning New Framework Motor Imagery
Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales
Sharjeel Tahir, Syed Afaq Shah, Jumana Abu-Khalaf
Deep Learning Timely Survey Data Set Human Robot Interaction Emotion Recognition Evaluation Metric Cognitive Empathy Empathetic AI Empathy Detection
Dropout Attacks
Andrew Yuan, Alina Oprea, Cheng Tan
Deep Learning Structured Dropout Invariant Dropout
On the Query Strategies for Efficient Online Active Distillation
Michele Boldo, Enrico Martini, Mirco De Marchi, Stefano Aldegheri, Nicola Bombieri
Deep Learning Knowledge Distillation Active Learning Human Pose Estimation Real Time Adaptation Online Distillation Query Strategy
Les Houches Lectures on Deep Learning at Large & Infinite Width
Yasaman Bahri, Boris Hanin, Antonin Brossollet, Vittorio Erba, Christian Keup, Rosalba Pacelli, James B. Simon
Deep Learning Deep Neural Network Statistical Mechanic Lecture Note Infinite Width Width Network Deep Random Neural Network
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
Deep Learning Prostate Cancer Prostate Segmentation Pyramid Attention

Deep Learning

Papers

A Food Package Recognition and Sorting System Based on Structured Light and Deep Learning

Dataset Generation and Bonobo Classification from Weakly Labelled Videos

Spiking Structured State Space Model for Monaural Speech Enhancement

Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study

Adaptive Growth: Real-time CNN Layer Expansion

Deep Learning for Polycystic Kidney Disease: Utilizing Neural Networks for Accurate and Early Detection through Gene Expression Analysis

Unveiling the frontiers of deep learning: innovations shaping diverse domains

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection

Data Scaling Effect of Deep Learning in Financial Time Series Forecasting

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

Dynamic Early Exiting Predictive Coding Neural Networks

Establishing a real-time traffic alarm in the city of Valencia with Deep Learning

Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets

Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales

Dropout Attacks

On the Query Strategies for Efficient Online Active Distillation

Les Houches Lectures on Deep Learning at Large & Infinite Width

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation