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 11, 2023

Examining the Effect of Implementation Factors on Deep Learning Reproducibility
Kevin Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen
Deep Learning Mixed Effect Research Reproducibility Reproducible Deep Learning
Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms
Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
Deep Learning Deep Neural Network DNN Framework Adaptive Optimization Method
Recent Advances in Deterministic Human Motion Prediction: A Review
Tenghao Deng, Yan Sun
Deep Learning Autonomous Driving Narrative Review Human Motion Recent Advance Human Motion Prediction
An Ambiguity Measure for Recognizing the Unknowns in Deep Learning
Roozbeh Yousefzadeh
Deep Learning Adversarial Input Adversarial Vulnerability Ambiguous Input Ambiguity Detection Unknown Unknown

December 10, 2023

Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey
Rubén Ballester, Carles Casacuberta, Sergio Escalera
Neural Network Deep Learning Comprehensive Survey Topological Data Analysis Persistent Homology Topological Information
Music Recommendation on Spotify using Deep Learning
Chhavi Maheshwari
Deep Learning Recommendation System Music Recommendation Conversational Playlist Curation Dataset
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles
Hemanth Manjunatha, Panagiotis Tsiotras
Deep Learning Autonomous Driving Deep Learning Model Autonomous Vehicle Full Model Perception Based Method Ensemble Deep
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
Yuntao Shou, Tao Meng, Wei Ai, Nan Yin, Keqin Li
Deep Learning Emotion Recognition Comprehensive Survey Speaker Modeling Conversational Emotion Recognition

December 9, 2023

Keyword spotting -- Detecting commands in speech using deep learning
Sumedha Rai, Tong Li, Bella Lyu
Deep Learning Speech Recognition Long Short Term Memory Speech Analysis Hidden Markov Model Keyword Enrollment Future Command
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing
Jianguo Jia, Wen Liang, Youzhi Liang
Deep Learning Natural Language Processing Diverse Ensemble Efficient Hybrid Natural Language Processing Application Ensemble Deep Learning Ensemble Deep

December 8, 2023

A Review of Machine Learning Methods Applied to Video Analysis Systems
Marios S. Pattichis, Venkatesh Jatla, Alvaro E. Ullao Cerna
Deep Learning Machine Learning Semi Supervised Learning Activity Recognition Video Analysis
Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning
Houting Li, Mengxuan Dong, Lok Ming Lui
Deep Learning Face Recognition Recognition Rate Facial Analysis 3D Facial 3D Face Model
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections
Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, Peter Pietzuch
Deep Learning GPU Cluster Level Parallelism Flexible Duplex Data Parallelism
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning
Yuquan Zhang, Zhong Cao, Feng Wang, Lam, Man I, Hui Deng, Ying Mei, Lei Tan
Deep Learning Cluster Structure Distant GALAXY Sky Image Datasets
A Review On Table Recognition Based On Deep Learning
Shi Jiyuan, Shi chunqi
Deep Learning Table Structure Recognition Table Detection Table Recognition

December 7, 2023

gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation
Hui Xie, Weiyu Xu, Ya Xing Wang, John Buatti, Xiaodong Wu
Deep Learning Binary Segmentation Graph Cut
Perspectives on the State and Future of Deep Learning - 2023
Micah Goldblum, Anima Anandkumar, Richard Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
Deep Learning Machine Learning Synthesized View Future Reasoning Internal State Interpretable AI
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
Deep Learning Fine Tuning Transformer Based Swin Transformer Self Supervised Pre Training Image Anomaly Detection Lane Representation Data Driven Anomaly Detection

December 6, 2023

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Neural Network Deep Learning Forecasting Performance Weather Forecasting Medium Range Atmospheric Dynamic Scaling Transformer
Comparative Analysis of Multilingual Text Classification & Identification through Deep Learning and Embedding Visualization
Arinjay Wyawhare
Deep Learning Comparative Study Person Identification Interactive Visualization Multilingual Corpus FastText Model Multilingual Text Classification Language Detection

Deep Learning

Papers

Examining the Effect of Implementation Factors on Deep Learning Reproducibility

Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms

Recent Advances in Deterministic Human Motion Prediction: A Review

An Ambiguity Measure for Recognizing the Unknowns in Deep Learning

Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey

Music Recommendation on Spotify using Deep Learning

Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning

Keyword spotting -- Detecting commands in speech using deep learning

A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

A Review of Machine Learning Methods Applied to Video Analysis Systems

Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning

Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections

Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning

A Review On Table Recognition Based On Deep Learning

gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation

Perspectives on the State and Future of Deep Learning - 2023

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Comparative Analysis of Multilingual Text Classification & Identification through Deep Learning and Embedding Visualization