Alex Graves
19 papers · 2007–2021 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§¬
Topic Evolution
π
Keyword Trendsetter Combo
(9)
π
Keyword Champion
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
π₯
Unstoppable Β· Bronze
π
Trend Setter
π
Conference Pioneer
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(106)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(13)
Architectures
(10)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Computer Vision
(4)
Reinforcement Learning
(4)
Application Areas
(4)
Methods
(4)
Models
(4)
Learning Types Β· Machine Learning
(3)
Natural Language Processing
(2)
Keywords
recurrent neural network
(10)
speech recognition
(2)
bayesian inference
(2)
reinforcement learning
(2)
image classification
(2)
language modeling
(2)
neural network
(2)
backpropagation through time
(2)
deep reinforcement learning
(2)
neural network optimization
(2)
handwriting recognition
(2)
connectionist temporal classification
(2)
variational inference
(1)
speech synthesis
(1)
attention mechanism
(1)
online learning
(1)
video generation
(1)
curriculum learning
(1)
deep learning
(1)
network pruning
(1)
Papers
Practical Real Time Recurrent Learning with a Sparse Approximation
ICLR 2021
Noisy Networks For Exploration
ICLR 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
ICML 2018
The Kanerva Machine: A Generative Distributed Memory
ICLR 2018
Automated Curriculum Learning for Neural Networks
ICML 2017
Decoupled Neural Interfaces using Synthetic Gradients
ICML 2017
Video Pixel Networks
ICML 2017
Associative Long Short-Term Memory
ICML 2016
Asynchronous Methods for Deep Reinforcement Learning
ICML 2016
Conditional Image Generation with PixelCNN Decoders
NeurIPS 2016
Memory-Efficient Backpropagation Through Time
NeurIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
NeurIPS 2016
Strategic Attentive Writer for Learning Macro-Actions
NeurIPS 2016
DRAW: A Recurrent Neural Network For Image Generation
ICML 2015
Recurrent Models of Visual Attention
NeurIPS 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks
ICML 2014
Practical Variational Inference for Neural Networks
NeurIPS 2011
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
NeurIPS 2008
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
NeurIPS 2007