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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

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30
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Papers (including subtopics)

Human Parsing With Contextualized Convolutional Neural Network ICCV 2015
Holistically-Nested Edge Detection ICCV 2015
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation ICCV 2015
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition ICCV 2015
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks ICCV 2015
Matrix Backpropagation for Deep Networks With Structured Layers ICCV 2015
Visual Tracking With Fully Convolutional Networks ICCV 2015
Describing Videos by Exploiting Temporal Structure ICCV 2015
Deep Learning with Limited Numerical Precision ICML 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature ICML 2015
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Learning Generative Models with Visual Attention NIPS 2014
How transferable are features in deep neural networks? NIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation CVPR 2014
Learning by Stretching Deep Networks ICML 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014
A Clockwork RNN ICML 2014
Adaptive Sampling for Large Scale Boosting JMLR 2014
Dropout: A Simple Way to Prevent Neural Networks from Overfitting JMLR 2014
Zero-Shot Learning Through Cross-Modal Transfer NIPS 2013
Wavelets on Graphs via Deep Learning NIPS 2013
Dropout Training as Adaptive Regularization NIPS 2013