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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)

Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015
Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015
A la Carte – Learning Fast Kernels AISTATS 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015
Efficient Representations for Lifelong Learning and Autoencoding COLT 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015
Tensor principal component analysis via sum-of-square proofs COLT 2015
Norm-Based Capacity Control in Neural Networks COLT 2015
Going Deeper With Convolutions CVPR 2015
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos CVPR 2015
Supervised Discrete Hashing CVPR 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015
Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015
Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015
Structural Sparse Tracking CVPR 2015
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation CVPR 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Kernel Fusion for Better Image Deblurring CVPR 2015
Direction Matters: Depth Estimation With a Surface Normal Classifier CVPR 2015
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection CVPR 2015
Grasp Type Revisited: A Modern Perspective on a Classical Feature for Vision CVPR 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
Hypercolumns for Object Segmentation and Fine-Grained Localization CVPR 2015