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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)

Convolutional Rectifier Networks as Generalized Tensor Decompositions ICML 2016
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016
Deep Structured Energy Based Models for Anomaly Detection ICML 2016
Unitary Evolution Recurrent Neural Networks ICML 2016
Learning End-to-end Video Classification with Rank-Pooling ICML 2016
Strongly-Typed Recurrent Neural Networks ICML 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification ICML 2016
Pixel Recurrent Neural Networks ICML 2016
Meta-Learning with Memory-Augmented Neural Networks ICML 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016
Associative Long Short-Term Memory ICML 2016
Learning Convolutional Neural Networks for Graphs ICML 2016
A Convolutional Attention Network for Extreme Summarization of Source Code ICML 2016
Discrete Deep Feature Extraction: A Theory and New Architectures ICML 2016
Sequence to Sequence Training of CTC-RNNs with Partial Windowing ICML 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016
Learning Population-Level Diffusions with Generative RNNs ICML 2016
Expressiveness of Rectifier Networks ICML 2016
Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016
Dynamic Capacity Networks ICML 2016
Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016
ADIOS: Architectures Deep In Output Space ICML 2016
Fixed Point Quantization of Deep Convolutional Networks ICML 2016
Group Equivariant Convolutional Networks ICML 2016
Correcting Forecasts with Multifactor Neural Attention ICML 2016