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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)

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects ICML 2019
The Evolved Transformer ICML 2019
Equivariant Transformer Networks ICML 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019
Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019
Adaptive Neural Trees ICML 2019
Optimal Transport for structured data with application on graphs ICML 2019
DeepNose: Using artificial neural networks to represent the space of odorants ICML 2019
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures ICML 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
Graph Convolutional Gaussian Processes ICML 2019
Convolutional Poisson Gamma Belief Network ICML 2019
State-Regularized Recurrent Neural Networks ICML 2019
Simplifying Graph Convolutional Networks ICML 2019
Learning to Prove Theorems via Interacting with Proof Assistants ICML 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019
Understanding Geometry of Encoder-Decoder CNNs ICML 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019
Position-aware Graph Neural Networks ICML 2019
Learning Neurosymbolic Generative Models via Program Synthesis ICML 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019
Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019
Making Convolutional Networks Shift-Invariant Again ICML 2019
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design ICML 2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition ICML 2019