Artificial intelligence (AI) is a thriving field in this century with many practical applications. We look to AI and machine learning tools to automate routine labor, understand speech or images, make diagnoses in medicine, and support basic scientific research.
Deep Learning is a relatively new area, introduced to move machine learning closer to one of its original goals: Artificial Intelligence. It is an approach to AI or a type of machine learning that allows the computers to build complex concepts from simpler concepts and represent the world as a nested hierarchy of concepts.
Deep Learning introduces multiple levels of representation in which more abstract representations are computed with simpler representations. This helps us make sense of complex datasets such as images, videos, sound, etc. In just the past few years, deep learning has taken the world by surprise, driving rapid progress in computer vision, natural language processing (NLP), speech recognition, reinforcement learning, etc.
With these advancements, we can now build cars that drive themselves with more autonomy than ever before, smart reply systems that automatically draft the most mundane emails, and software agents that dominate humans. They already have an ever-widening impact on our lives, playing a big role in technology and sciences — from biology to astrophysics.
In this post, we list the top 70 research papers and projects in deep learning, published recently. Feel free to download. Share your own research papers with us to be added to this list.
- Person re-identification by deep learning multi-scale representations
- Classification of Diabetic Retinopathy Images by Using Deep Learning Models
- Lower jawbone data generation for deep learning tools under MeVisLab
- Theory of deep learning III: the non-overfitting puzzle
- Weblogo-2m: Scalable logo detection by deep learning from the web
- Supplementary Materials for DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
- Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
- Discrete Deep Learning for Fast Content-Aware Recommendation
- Travel Behavior Classification: An Approach with Social Network and Deep Learning 2
- Machine Translation Using Deep Learning : A Survey
- Deep Learning for Joint Source-Channel Coding of Text
- DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
- Learning To Share: Simultaneous Parameter Tying And Sparsification In Deep Learning
- Deep Inductive Network Representation Learning
- Exploration and Tradeoffs of Different Kernels in FPGA Deep Learning Applications
- A Deep Model with Local Surrogate Loss for General Cost-sensitive Multi-label Learning
- LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures
- Perception-Action- Learning System for Mobile Social-Service Robots using Deep Learning
- Geometry and Uncertainty in Deep Learning for Computer Vision
- Identifying RNA-binding proteins using multi-label deep learning
- A Deep Reinforcement Learning Network for Traffic Light Cycle Control
- Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
- Towards the quantification of uncertainty for deep learning based rainfall-runoff models
- DeepSqueak: a deep learning -based system for detection and analysis of ultrasonic vocalizations
- Investigating the Feasibility of Finger Identification on Capacitive Touchscreens using Deep Learning
- WiDeep: WiFi-based accurate and robust indoor localization system using deep learning
- The unreasonable effectiveness of deep learning in artificial intelligence
- Is Deep Learning a Game Changer for Marketing Analytics
- Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
- Deep Learning in Ultrasound Imaging
- Improving Lives of Indebted Farmers Using Deep Learning : Predicting Agricultural Produce Prices Using Convolutional Neural Networks
- Automating Cyberdeception Evaluation with Deep Learning
- When Deep Learning meets Web Measurements to infer Network Performance
- Comparison of semi-automatic and deep learning -based automatic methods for liver segmentation in living liver transplant donors
- Biomedical Imaging and Analysis In the Age of Sparsity, Big Data, and Deep Learning
- Deep Learning on the 2-Dimensional Ising Model to Extract the Crossover Region
- A Deep Learning Approach to Understanding Cloud Service Level Agreements
- Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study
- Deep Structured Learning for Facial Expression Intensity Estimation
- Deep Learning for abnormality detection in Chest X-Ray images
- The Design and Evolution of Deep Learning Workloads
- A Systematic Literature Review on Features of Deep Learning in Big Data Analytics.
- Deep learning on CManifolds
- Plant Leaf Disease Detection using Deep Learning and Convolutional Neural Network
- Smart Library: Identifying Books on Library Shelves using Supervised Deep Learning for Scene Text Reading
- A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection
- Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
- Deep Learning: Shaking the Founda ons
- Fall Risk Reduction for the Elderly Using Mobile Robots Based on the Deep Reinforcement Learning
- Object Classification in Images of Neoclassical Artifacts Using Deep Learning
- Simulation based optimal control via deep learning
- Deep learning with geodesic moments for 3D shape classification
- Description of Images Related To Haze Crisis in Indonesia Using Deep Learning
- Application of deep learning neural network for classification of TB lung CT images based on patches
- Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning
- Scaling Up Deep Learning on Clusters
- Unsupervised multi-manifold clustering by learning deep representation
- An Extensive Survey on Deep Learning Applications
- A Quick Review of Deep Learning in Facial Expression
- Query by Singing/Humming System Based on Deep Learning
- Deep Learning for Predictions in Emerging Currency Markets.
- Deep Learning Approach for Secondary Structure Protein Prediction based on First Level Features Extraction using a Latent CNN Structure
- Deep Learning for Intelligent Transportation
- Deep reinforcement learning for dynamic multichannel access
- Automated Feature Selection and Churn Prediction using Deep Learning Models
- Deep Learning for Natural Language Processing
- Development and Applications of Deep Learning Structures for Point Cloud Data
- International Workshop on Deep Learning and Music
- Deep Learning Binary Neural Network on an FPGA
- Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
