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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)

A Greedy Approach for Budgeted Maximum Inner Product Search NIPS 2017
Riemannian approach to batch normalization NIPS 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NIPS 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NIPS 2017
Neural Program Meta-Induction NIPS 2017
Attention is All you Need NIPS 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NIPS 2017
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
VAE Learning via Stein Variational Gradient Descent NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NIPS 2017
The Numerics of GANs NIPS 2017
Cortical microcircuits as gated-recurrent neural networks NIPS 2017
SGD Learns the Conjugate Kernel Class of the Network NIPS 2017
Learning to Pivot with Adversarial Networks NIPS 2017
Universal Style Transfer via Feature Transforms NIPS 2017
Selective Classification for Deep Neural Networks NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Deconvolutional Paragraph Representation Learning NIPS 2017
Learning to See Physics via Visual De-animation NIPS 2017
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NIPS 2017
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks NIPS 2017
Deep Hyperspherical Learning NIPS 2017
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NIPS 2017
Implicit Regularization in Matrix Factorization NIPS 2017