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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)

Practical and Consistent Estimation of f-Divergences NIPS 2019
R2D2: Reliable and Repeatable Detector and Descriptor NIPS 2019
Stand-Alone Self-Attention in Vision Models NIPS 2019
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs NIPS 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Recurrent Space-time Graph Neural Networks NIPS 2019
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets NIPS 2019
Fully Neural Network based Model for General Temporal Point Processes NIPS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings NIPS 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NIPS 2019
Regression Planning Networks NIPS 2019
Stability of Graph Scattering Transforms NIPS 2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation NIPS 2019
Learning Robust Global Representations by Penalizing Local Predictive Power NIPS 2019
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series NIPS 2019
FreeAnchor: Learning to Match Anchors for Visual Object Detection NIPS 2019
Glyce: Glyph-vectors for Chinese Character Representations NIPS 2019
General E(2)-Equivariant Steerable CNNs NIPS 2019
Graph Agreement Models for Semi-Supervised Learning NIPS 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NIPS 2019
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NIPS 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks NIPS 2019
Understanding Attention and Generalization in Graph Neural Networks NIPS 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NIPS 2019