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← Deep Learning
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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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Papers (including subtopics)

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Recurrent Models of Visual Attention NIPS 2014
Deep Symmetry Networks NIPS 2014
Searching for Higgs Boson Decay Modes with Deep Learning NIPS 2014
Do Convnets Learn Correspondence? NIPS 2014
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NIPS 2014
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NIPS 2014
Sequence to Sequence Learning with Neural Networks NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NIPS 2014
Convolutional Kernel Networks NIPS 2014
Unsupervised learning of an efficient short-term memory network NIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014
General Stochastic Networks for Classification NIPS 2014
Learning with Pseudo-Ensembles NIPS 2014
Analog Memories in a Balanced Rate-Based Network of E-I Neurons NIPS 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NIPS 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network NIPS 2014
Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014
Global Belief Recursive Neural Networks NIPS 2014
Convolutional Neural Network Architectures for Matching Natural Language Sentences NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014