
VAMPnets
 Referenced in 19 articles
[sw32927]
 VAMPnets: Deep learning of molecular kinetics. There is an increasing demand for computing the relevant ... Markov processes (VAMP) to develop a deep learning framework for molecular kinetics using neural networks...

NETT
 Referenced in 18 articles
[sw41773]
 well understood. Recently, novel algorithms using deep learning and neural networks for inverse problems appeared ... there are few theoretical results for deep learning in inverse problems. In this paper...

BinaryConnect
 Referenced in 24 articles
[sw35871]
 development of dedicated hardware for Deep Learning (DL). Binary weights, i.e., weights which are constrained...

Xception
 Referenced in 23 articles
[sw39068]
 Xception: Deep Learning with Depthwise Separable Convolutions. We present an interpretation of Inception modules ... observation leads us to propose a novel deep convolutional neural network architecture inspired by Inception...

Edward
 Referenced in 16 articles
[sw21517]
 models on small data sets to complex deep probabilistic models on large data sets. Edward ... three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming...

OverFeat
 Referenced in 22 articles
[sw17857]
 ConvNet. We also introduce a novel deep learning approach to localization by learning to predict...

Chainer
 Referenced in 15 articles
[sw26707]
 nextgeneration open source framework for deep learning. Chainer is a Pythonbased deep learning...

Cityscapes
 Referenced in 21 articles
[sw36624]
 datasets, especially in the context of deep learning. For semantic urban scene understanding, however...

Hyperband
 Referenced in 20 articles
[sw41120]
 approach to hyperparameter optimization. Performance of machine learning algorithms depends critically on identifying a good ... competitor set on a variety of deeplearning and kernelbased learning problems...

DeepStack
 Referenced in 18 articles
[sw27097]
 automatically learned from selfplay using deep learning. In a study involving 44,000 hands...

NICE
 Referenced in 18 articles
[sw29631]
 Independent Components Estimation. We propose a deep learning framework for modeling complex highdimensional densities ... trivial, yet we maintain the ability to learn complex nonlinear transformations, via a composition ... simple building blocks, each based on a deep neural network. The training criterion is simply...

Inceptionv4
 Referenced in 29 articles
[sw39592]
 Impact of Residual Connections on Learning. Very deep convolutional networks have been central...

GPT3
 Referenced in 18 articles
[sw42135]
 autoregressive language model that uses deep learning to produce humanlike text...

DeepONet
 Referenced in 50 articles
[sw42093]
 potential application of neural networks in learning nonlinear operators from data. However, the theorem guarantees ... practice, we propose deep operator networks (DeepONets) to learn operators accurately and efficiently from...

OctNet
 Referenced in 11 articles
[sw36665]
 OctNet: Learning Deep 3D Representations at High Resolutions. We present OctNet, a representation for deep ... learning with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional ... networks which are both deep and high resolution. Towards this goal, we exploit the sparsity...

Wasserstein GAN
 Referenced in 159 articles
[sw42583]
 problems like mode collapse, and provide meaningful learning curves useful for debugging and hyperparameter searches ... provide extensive theoretical work highlighting the deep...

Pyro
 Referenced in 15 articles
[sw27079]
 modeling, unifying the best of modern deep learning and Bayesian modeling. It was designed with...

AllenNLP
 Referenced in 14 articles
[sw26526]
 easy to design and evaluate new deep learning models for nearly any NLP problem, along...

DGL
 Referenced in 11 articles
[sw33907]
 research in the emerging field of deep graph learning requires new tools to support tensor ... present the design principles and implementation of Deep Graph Library (DGL). DGL distills the computational ... leverage the existing components across multiple deep learning frameworks. Our evaluation shows that DGL significantly...

Dopamine
 Referenced in 8 articles
[sw31151]
 Research Framework for Deep Reinforcement Learning. Deep reinforcement learning (deep RL) research has grown significantly...