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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)

State Aware Imitation Learning NIPS 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NIPS 2017
Recurrent Ladder Networks NIPS 2017
Distral: Robust multitask reinforcement learning NIPS 2017
Learning Spherical Convolution for Fast Features from 360° Imagery NIPS 2017
Continual Learning with Deep Generative Replay NIPS 2017
Nonlinear random matrix theory for deep learning NIPS 2017
Exploring Generalization in Deep Learning NIPS 2017
Spherical convolutions and their application in molecular modelling NIPS 2017
Introspective Classification with Convolutional Nets NIPS 2017
Dualing GANs NIPS 2017
Neural Variational Inference and Learning in Undirected Graphical Models NIPS 2017
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks NIPS 2017
Premise Selection for Theorem Proving by Deep Graph Embedding NIPS 2017
Differentiable Learning of Submodular Models NIPS 2017
How regularization affects the critical points in linear networks NIPS 2017
Training Quantized Nets: A Deeper Understanding NIPS 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NIPS 2017
Few-Shot Adversarial Domain Adaptation NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Recycling Privileged Learning and Distribution Matching for Fairness NIPS 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NIPS 2017
Reconstruct & Crush Network NIPS 2017
Deep Dynamic Poisson Factorization Model NIPS 2017
Lower bounds on the robustness to adversarial perturbations NIPS 2017