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.
3874papers
Papers
April 3, 2025
Deep learning for music generation. Four approaches and their comparative evaluation
Razvan Paroiu, Stefan Trausan-MatuUniversity POLITEHNICA of Bucharest●Romanian Academy Research Institute for Artificial Intelligence●Academy of Romanian ScientistsReasoning Inconsistencies and How to Mitigate Them in Deep Learning
Erik ArakelyanSemantic segmentation of forest stands using deep learning
Håkon Næss Sandum (1), Hans Ole Ørka (1), Oliver Tomic (2), Erik Næsset (1)+10Norwegian University of Life SciencesTowards Assessing Deep Learning Test Input Generators
Seif Mzoughi, Ahmed Hajyahmed, Mohamed Elshafei, Foutse Khomh anb Diego Elias CostaPolytechnique Montreal●Concordia University
April 1, 2025
Cooper: A Library for Constrained Optimization in Deep Learning
Jose Gallego-Posada, Juan Ramirez, Meraj Hashemizadeh, Simon Lacoste-JulienUniversit´e de Montr´eal●Canada CIFAR AI ChairA Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities
Enzhe Sun, Yongchuan Cui, Peng Liu, Jining YanChina University of Geosciences (Wuhan)●Chinese Academy of Sciences●University of Chinese Academy of SciencesMinimum Description Length of a Spectrum Variational Autoencoder: A Theory
Canlin Zhang, Xiuwen LiuFlorida State UniversityDeep learning for state estimation of commercial sodium-ion batteries using partial charging profiles: validation with a multi-temperature ageing dataset
Jiapeng Liu, Lunte Li, Jing Xiang, Laiyong Xie, Yuhao Wang, Francesco CiucciSun Yat-Sen University●Hong Kong Applied Science and Technology Research Institute●The Hong Kong University of Science and Technology●Uni...+2LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Muhammad Tahir, Shehroz S. Khan, James Davie, Soichiro Yamanaka, Ahmed AshrafUniversity of Manitoba●American University of the Middle East●University of Tokyo
March 31, 2025
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks with Distribution-Free Uncertainty Quantification
Xavier Mootoo, Hina Tabassum, Luca ChiaraviglioYork University●University of Rome Tor VergataConformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics
Swarnava Bhattacharyya, Umapada Pal, Tapabrata ChakrabortiIndian Statistical Institute●The Alan Turing Institute●University College LondonTHEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
Yujin Huang, Zhi Zhang, Qingchuan Zhao, Xingliang Yuan, Chunyang ChenThe University of Melbourne●The University of Western Australia●City University of Hong Kong●Technical University of Munich
March 28, 2025
Improving Applicability of Deep Learning based Token Classification models during Training
Anket Mehra, Malte Prieß, Marian HimstedtDeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction
Chenyang Li, Tanmay Sunil Kapure, Prokash Chandra Roy, Zhengtao Gan, Bo ShenNew Jersey Institute of Technology●University of Texas at El Paso●Arizona State UniversityDiagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network
Fubao Zhu, Yang Zhang, Gengmin Liang, Jiaofen Nan, Yanting Li, Chuang Han, Danyang Sun, Zhiguo Wang, Chen Zhao, Wenxuan Zhou, Jian He+5
March 27, 2025
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao, Weiyao Zhu, Pengfei Jiao, Di Gao, Ou WuShape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay, Nazli Tümer, Amir A. ZadpoorDelft University of TechnologyFrom Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao, Saizhuo Wang, Xinyi Lin, Xiaojun Wu, Haohan Zhang, Lionel M. Ni, Jian GuoThe Hong Kong University of Science and Technology (Guangzhou)●IDEA Research●The Hong Kong University of Science and Technology