conftrace_
← Topics

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
'05
'10
'15
'20
'25

Papers (including subtopics)

Neural Universal Discrete Denoiser NIPS 2016
Can Active Memory Replace Attention? NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Non-Linear Smoothed Transductive Network Embedding with Text Information ACML 2016
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis ACML 2016
Modelling Symbolic Music: Beyond the Piano Roll ACML 2016
Bank of Weight Filters for Deep CNNs ACML 2016
Deep Gate Recurrent Neural Network ACML 2016
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016
Echo State Hoeffding Tree Learning ACML 2016
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator ACML 2016
Clamping Improves TRW and Mean Field Approximations AISTATS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree AISTATS 2016
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016
Variational Tempering AISTATS 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016