Who Cited It

Adam: A Method for Stochastic Optimization

2014 · UvA-DARE (University of Amsterdam) · 84,698 citations · 56 from inside this corpus

Diederik P. Kingma, Jimmy Ba

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…Continuous control with deep reinforcement learning (2015)Continuous control with deep …Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'… (2016)Convolutional Neural Networks…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…SciBERT: A Pretrained Language Model for Scientific Text (2019)SciBERT: A Pretrained Languag…An Introduction to Deep Learning for the Physical Layer (2017)An Introduction to Deep Learn…Domain randomization for transferring deep neural networks from simulation to the real wo… (2017)Domain randomization for tran…Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised … (2018)Virtual Adversarial Training:…Conformer: Convolution-augmented Transformer for Speech Recognition (2020)Conformer: Convolution-augmen…Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions (2018)Natural TTS Synthesis by Cond…Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (2015)Dropout as a Bayesian Approxi…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)End-to-end Sequence Labeling …Deep Learning using Rectified Linear Units (ReLU) (2018)Deep Learning using Rectified…Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Disco… (2017)Unsupervised Anomaly Detectio…LXMERT: Learning Cross-Modality Encoder Representations from Transformers (2019)MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta… (2019)MultiResUNet : Rethinking the…Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)Maximum Classifier Discrepanc…Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2021)Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen… (2017)Supervised Learning of Univer…DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep… (2018)DeepSurv: personalized treatm…Graph Convolutional Networks for Text Classification (2019)Graph Convolutional Networks …GAN-based synthetic medical image augmentation for increased CNN performance in liver les… (2018)GAN-based synthetic medical i…Review of Deep Learning Algorithms and Architectures (2019)Review of Deep Learning Algor…Rainbow: Combining Improvements in Deep Reinforcement Learning (2018)Rainbow: Combining Improvemen…
36 of 44 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Reducing the Dimensionality of Data with Neural Networks200621,247
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Speech recognition with deep recurrent neural networks20138,916
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Improving neural networks by preventing co-adaptation of feature detectors20126,653
ADADELTA: An Adaptive Learning Rate Method20125,532
On the importance of initialization and momentum in deep learning20133,523
Learning Word Vectors for Sentiment Analysis20113,294

What cites it, inside the corpus

PaperYearCited
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …201711,354
Continuous control with deep reinforcement learning20155,370
Convolutional Neural Networks On Graphs With Fast Localized Spectral Filtering (Netsci-X'…20165,118
Adversarial Discriminative Domain Adaptation20175,087
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]4,858
Neural Architectures for Named Entity Recognition20164,482
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
SciBERT: A Pretrained Language Model for Scientific Text20193,109
An Introduction to Deep Learning for the Physical Layer20173,005
Domain randomization for transferring deep neural networks from simulation to the real wo…20172,890
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …20182,873
Conformer: Convolution-augmented Transformer for Speech Recognition20202,867
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions20182,708
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning20152,672
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
Deep Learning using Rectified Linear Units (ReLU)20182,511
Convolutional 2D Knowledge Graph Embeddings20182,467
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Disco…20172,413
LXMERT: Learning Cross-Modality Encoder Representations from Transformers20192,335
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta…20192,334
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing20212,146
Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…20172,077
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep…20182,013
Graph Convolutional Networks for Text Classification20192,000
GAN-based synthetic medical image augmentation for increased CNN performance in liver les…20181,976
Review of Deep Learning Algorithms and Architectures20191,878
Rainbow: Combining Improvements in Deep Reinforcement Learning20181,783

Links

DOI · Open access copy · OpenAlex record

Topics

Stochastic Gradient Optimization TechniquesComputer Science
Advanced Bandit Algorithms ResearchDecision Sciences
Machine Learning and ELMComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports20 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…