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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
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Papers (including subtopics)

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition CVPR 2016
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability CVPR 2016
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016
Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016
Deep Reflectance Maps CVPR 2016
Robust Visual Place Recognition With Graph Kernels CVPR 2016
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform CVPR 2016
DenseCap: Fully Convolutional Localization Networks for Dense Captioning CVPR 2016
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks CVPR 2016
Jointly Modeling Embedding and Translation to Bridge Video and Language CVPR 2016
We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016
Where to Look: Focus Regions for Visual Question Answering CVPR 2016
TGIF: A New Dataset and Benchmark on Animated GIF Description CVPR 2016
Image Captioning With Semantic Attention CVPR 2016
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016
Structured Feature Learning for Pose Estimation CVPR 2016
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks CVPR 2016
DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016
Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016
Deep SimNets CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising CVPR 2016
Event-Specific Image Importance CVPR 2016
Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016