A month ago we published a blog post showing the 20 most popular Deep Learning papers in the bibliography, this time we’re showing the 75 most popular Deep Learning papers in the list below. Note that this blog post (and the other blog posts) and the deep learning bibliography itself is available on github:
github.com/memkite/DeepLearningBibliography
Note: If you’re curious what Memkite does in Deep Learning – besides maintaining this bibliography – we’re building support for using large-scale deep networks on mobile and wearable devices. Check out demo video on deeplearning.education for a use case.
Best regards, Amund Tveit (@atveit)
Memkite Deep Learning Team
75 most popular Deep Learning Papers from the Bibliography
- Neural Networks: A Review
- Analysis of Deep Convolutional Neural Network Architectures
- Manifold Regularized Deep Neural Networks
- Emotion Detection using Deep Belief Networks
- Modeling interestingness with deep neural networks
- Classifying EEG recordings of rhythm perception
- Deep learning for real-time robust facial expression recognition on a smartphone
- Deep learning based imaging data completion for improved brain disease diagnosis
- A comparison of dropout and weight decay for regularizing deep neural networks
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting
- RankCNN: When learning to rank encounters the pseudo preference feedback
- Effective Multi-Modal Retrieval based on Stacked Auto-Encoders
- Unsupervised Learning of Word Semantic Embedding using the Deep Structured Semantic Model
- Asynchronous stochastic optimization for sequence training of deep neural networks
- Deep Learning for the Connectome
- DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
- Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition
- Learning Sparse Recurrent Neural Networks in Language Modeling
- Spoken emotion recognition using deep learning
- Single Channel Source Separation with General Stochastic Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Deep Belief Networks (DBNs)
- Deep learning multi-view representation for face recognition
- Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-core Coprocessor
- Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
- Feed Forward Pre-training for Recurrent Neural Network Language Models
- Improved audio features for large-scale multimedia event detection
- Learning ensemble classifiers via restricted Boltzmann machines
- Training itself: Mixed-signal training acceleration for memristor-based neural network.
- A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet)
- Hierarchical spatiotemporal feature extraction using recurrent online clustering
- Learning Separable Filters
- Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
- Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
- Think Positive: Towards Twitter Sentiment Analysis from Scratch
- SSpro/ACCpro 5: Almost Perfect Prediction of Protein Secondary Structure and Relative Solvent Accessibility Using Profiles, Machine Learning, and Structural Similarity.
- Large-scale video classification with convolutional neural networks
- Traffic Flow Prediction With Big Data: A Deep Learning Approach
- Multi-task Neural Networks for QSAR Predictions
- Should deep neural nets have ears? The role of auditory features in deep learning approaches
- Multimodal integration learning of robot behavior using deep neural networks
- SPINDLE: SPINtronic deep learning engine for large-scale neuromorphic computing
- The relation of eye gaze and face pose: Potential impact on speech recognition
- Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
- Reweighted Wake-Sleep
- Generic Object Detection With Dense Neural Patterns and Regionlets
- Learning Methods for Variable Selection and Time Series Prediction
- Gpu Implementation of a Deep Learning Network for Financial Prediction
- Action Recognition Using Ensemble of Deep Convolutional Neural Networks
- RASR/NN: The RWTH neural network toolkit for speech recognition
- Hough Networks for Head Pose Estimation and Facial Feature Localization
- Alternate Layer Sparsity and Intermediate Fine-tuning for Deep Autoencoders
- Sequence to Sequence Learning with Neural Networks
- Facial Landmark Detection by Deep Multi-task Learning
- Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
- Handwritten Hangul recognition using deep convolutional neural networks
- GPU Accelerated Computation and Real-time Rendering of Cellular Automata Model for Spatial Simulation
- Survey and Implementation of Computer Vision Techniques for Humanoid Robots
- Kernel methods match deep neural networks on timit
- Searching for exotic particles in high-energy physics with deep learning
- Speeding up Convolutional Neural Networks with Low Rank Expansions
- Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods
- Autoencoder Trees
- Object Detection and Viewpoint Estimation with Auto-masking Neural Network
- Discriminative Convolutional Sum-Product Networks on GPU
- Deep Network Cascade for Image Super-resolution
- Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
- UAV Application for DARPA PERFECT
- ML-o-scope: a diagnostic visualization system for deep machine learning pipelines
- Draft: Deep Learning in Neural Networks: An Overview
- Comparisons of machine learning techniques for detecting malicious webpages
- Project Adam: Building an Efficient and Scalable Deep Learning Training System
- Learning to encode motion using spatio-temporal synchrony
- Modeling Video Dynamics with Deep Dynencoder
- On the saddle point problem for non-convex optimization
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