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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)

A Regularized Framework for Sparse and Structured Neural Attention NIPS 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NIPS 2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NIPS 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NIPS 2017
Dilated Recurrent Neural Networks NIPS 2017
The Expressive Power of Neural Networks: A View from the Width NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Invariance and Stability of Deep Convolutional Representations NIPS 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NIPS 2017
Attention is All you Need NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Cortical microcircuits as gated-recurrent neural networks NIPS 2017
Deconvolutional Paragraph Representation Learning NIPS 2017
Deep Hyperspherical Learning NIPS 2017
Poincaré Embeddings for Learning Hierarchical Representations NIPS 2017
Self-Normalizing Neural Networks NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NIPS 2017
Inductive Representation Learning on Large Graphs NIPS 2017
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NIPS 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks NIPS 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NIPS 2017
Visual Reference Resolution using Attention Memory for Visual Dialog NIPS 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NIPS 2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NIPS 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules NIPS 2017