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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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Papers (including subtopics)

VAIN: Attentional Multi-agent Predictive Modeling NIPS 2017
Sobolev Training for Neural Networks NIPS 2017
Context Selection for Embedding Models NIPS 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Targeting EEG/LFP Synchrony with Neural Nets NIPS 2017
Neural Discrete Representation Learning NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Training Deep Networks without Learning Rates Through Coin Betting NIPS 2017
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NIPS 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator NIPS 2017
Toward Multimodal Image-to-Image Translation NIPS 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017
Mean Field Residual Networks: On the Edge of Chaos NIPS 2017
Non-convex Finite-Sum Optimization Via SCSG Methods NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Working hard to know your neighbor's margins: Local descriptor learning loss NIPS 2017
Hiding Images in Plain Sight: Deep Steganography NIPS 2017
Pixels to Graphs by Associative Embedding NIPS 2017
Concrete Dropout NIPS 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery NIPS 2017
Unsupervised Transformation Learning via Convex Relaxations NIPS 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NIPS 2017
Triple Generative Adversarial Nets NIPS 2017
Deep Learning with Topological Signatures NIPS 2017