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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)

Efficient Neural Network Verification with Exactness Characterization UAI 2019
Sinkhorn AutoEncoders UAI 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias UAI 2019
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification UAI 2019
Noise Contrastive Priors for Functional Uncertainty UAI 2019
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019
Learnability for the Information Bottleneck UAI 2019
Block Neural Autoregressive Flow UAI 2019
Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018
ResNet with one-neuron hidden layers is a Universal Approximator NIPS 2018
How Many Samples are Needed to Estimate a Convolutional Neural Network? NIPS 2018
Probabilistic Neural Programmed Networks for Scene Generation NIPS 2018
The streaming rollout of deep networks - towards fully model-parallel execution NIPS 2018
Generalisation in humans and deep neural networks NIPS 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis NIPS 2018
Middle-Out Decoding NIPS 2018
Maximum-Entropy Fine Grained Classification NIPS 2018
Neural Arithmetic Logic Units NIPS 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models NIPS 2018
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients? NIPS 2018
Recurrently Controlled Recurrent Networks NIPS 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition NIPS 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NIPS 2018
Structure-Aware Convolutional Neural Networks NIPS 2018