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 31, 2024

Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
Alan Jeffares, Alicia Curth, Mihaela van der Schaar
Neural Network Deep Learning Empirical Study Gradient Boosting Grokking Phenomenon Simple Model
Angular Distance Distribution Loss for Audio Classification
Antonio Almudévar, Romain Serizel, Alfonso Ortega
Deep Learning Loss Function Audio Classification Learned Embeddings Angular Margin Loss
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy, Akim Kotelnikov, Artem Babenko
Deep Learning Supervised Learning Multi Layer Model Ensembling Tabular Deep Learning Table Representation
Understanding Optimization in Deep Learning with Central Flows
Jeremy M. Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason D. Lee
Deep Learning Optimization Purpose Adaptive Optimizers Minimum Time Trajectory Reactive Flow
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Junliang Du, Yiru Cang, Tong Zhou, Jiacheng Hu, Weijie He
Deep Learning Glaucoma Diagnosis Multi Modality Image
Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges
Senthil Kumar Jagatheesaperumal, Ijaz Ahmad, Marko Höyhtyä, Suleman Khan, Andrei Gurtov
Deep Learning Narrative Review Deep Learning Framework Research Challenge Spectrum Sharing Cognitive Radio
XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM
Xiaomeng Wang, Nan Wang, Guofeng Zhang
Deep Learning Pin Slam Modular Framework SLAM System State of the Art SLAM SLAM Framework

October 30, 2024

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
Neural Network Deep Learning Long Short Term Memory Hybrid Deep Learning EEG Signal Fatigue Induced Mercedes Benz Drive Pilot Fatigue Monitoring
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET
Yitong Li, Morteza Ghahremani, Youssef Wally, Christian Wachinger
Deep Learning Vision Transformer Multi Modal Positron Emission Tomography Bi Attention
Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models
Vivien Sainte Fare Garnot, Lynsay Spafford, Jelle Lever, Christian Sigg, Barbara Pietragalla, Yann Vitasse, Arthur Gessler, Jan Dirk Wegner
Deep Learning Process Model
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan, Junhao Yu, Ziming Nie, Muze Wang, Sijia Feng, Pei An, Jiaqi Yang
Deep Learning Timely Survey Point Cloud
Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
Keyu Chen, Cheng Fei, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Weiche Hsieh, Lawrence K.Q. Yan, Chia Xin Liang, Han Xu, Hong-Ming Tseng, Xinyuan Song, Ming Liu
Language Model Deep Learning Machine Learning Natural Language Processing Application Proficiency Entity Recognition Theoretical Understanding
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
Xin (Chloe)Ma, Dong Si
Deep Learning Document Boundary Cryo Electron Protein Structure Prediction

October 29, 2024

October 28, 2024

Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data
Sophia M Rein, Jing Li, Miguel Hernan, Andrew Beam
Deep Learning Causal Inference Causal Effect Generalized Linear Model Mathematical Formula Conditional Expectation Classical Data Deep Neural Network Estimator
Diagnosis of Knee Osteoarthritis Using Bioimpedance and Deep Learning
Jamal Al-Nabulsi, Mohammad Al-Sayed Ahmad, Baraa Hasaneiah, Fayhaa AlZoubi
Deep Learning Medical Diagnosis Adam Optimizer Knee Osteoarthritis
Modular Duality in Deep Learning
Jeremy Bernstein, Laker Newhouse
Neural Network Deep Learning Neural Architecture Strong Duality Dual Formulation
Breccia and basalt classification of thin sections of Apollo rocks with deep learning
Freja Thoresen, Aidan Cowley, Romeo Haak, Jonas Lewe, Clara Moriceau, Piotr Knapczyk, Victoria S. Engelschiøn
Deep Learning STONE Deterioration Pattern Lunar Surface APOLLO Apollonion ICARUS MineRL BASALT

Deep Learning

Papers

Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

Angular Distance Distribution Loss for Audio Classification

TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

Understanding Optimization in Deep Learning with Central Flows

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis

Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges

XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM

Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET

Deep learning meets tree phenology modeling: PhenoFormer vs. process-based models

Deep Learning for 3D Point Cloud Enhancement: A Survey

Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application

Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps

Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs

Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Automated Vulnerability Detection Using Deep Learning Technique

Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data

Diagnosis of Knee Osteoarthritis Using Bioimpedance and Deep Learning

Modular Duality in Deep Learning

Breccia and basalt classification of thin sections of Apollo rocks with deep learning