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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
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'25

Papers (including subtopics)

Warped Convolutions: Efficient Invariance to Spatial Transformations ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
State-Frequency Memory Recurrent Neural Networks ICML 2017
Deep Generative Models for Relational Data with Side Information ICML 2017
Toward Controlled Generation of Text ICML 2017
Variational Inference for Sparse and Undirected Models ICML 2017
Decoupled Neural Interfaces using Synthetic Gradients ICML 2017
Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
From Patches to Images: A Nonparametric Generative Model ICML 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs ICML 2017
On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017
Graph-based Isometry Invariant Representation Learning ICML 2017
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Grammar Variational Autoencoder ICML 2017
Confident Multiple Choice Learning ICML 2017
Deriving Neural Architectures from Sequence and Graph Kernels ICML 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017
Learning Infinite Layer Networks Without the Kernel Trick ICML 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017
Learning Deep Architectures via Generalized Whitened Neural Networks ICML 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks ICML 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections ICML 2017