K. Kavukcuoglu

发表

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Wojciech M. Czarnecki, Oriol Vinyals, I. Babuschkin, 2019, Nature.

Human-level control through deep reinforcement learning

Shane Legg, Alex Graves, Marc G. Bellemare, 2015, Nature.

Sample Efficient Actor-Critic with Experience Replay pdf

Nando de Freitas, Rémi Munos, Koray Kavukcuoglu, 2016, ICLR.

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Geoffrey E. Hinton, Yuval Tassa, Koray Kavukcuoglu, 2016, NIPS.

Playing Atari with Deep Reinforcement Learning pdf

Alex Graves, Koray Kavukcuoglu, Martin A. Riedmiller, 2013, ArXiv.

Asynchronous Methods for Deep Reinforcement Learning pdf

Alex Graves, Koray Kavukcuoglu, David Silver, 2016, ICML.

Unsupervised Predictive Memory in a Goal-Directed Agent pdf

Joel Z. Leibo, Demis Hassabis, Koray Kavukcuoglu, 2018, ArXiv.

Conditional Image Generation with PixelCNN Decoders

Alex Graves, Koray Kavukcuoglu, Aäron van den Oord, 2016, NIPS.

Natural Language Processing (Almost) from Scratch

Jason Weston, Koray Kavukcuoglu, Léon Bottou, 2011, J. Mach. Learn. Res..

Weight Uncertainty in Neural Networks pdf

Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra, 2015, ArXiv.

WaveNet: A Generative Model for Raw Audio pdf

Heiga Zen, Alex Graves, Oriol Vinyals, 2016, SSW.

Torch7: A Matlab-like Environment for Machine Learning

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2011, NIPS 2011.

Natural Neural Networks

Razvan Pascanu, Karen Simonyan, Koray Kavukcuoglu, 2015, NIPS.

Convolutional networks and applications in vision

Yann LeCun, Clément Farabet, Koray Kavukcuoglu, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Pedestrian Detection with Unsupervised Multi-stage Feature Learning

Yann LeCun, Koray Kavukcuoglu, Pierre Sermanet, 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Convolutional Feature Hierarchies for Visual Recognition

Y-Lan Boureau, Yann LeCun, Koray Kavukcuoglu, 2010, NIPS.

Matching Networks for One Shot Learning

Oriol Vinyals, Koray Kavukcuoglu, Daan Wierstra, 2016, NIPS.

Hybrid computing using a neural network with dynamic external memory

Sergio Gomez Colmenarejo, Alex Graves, Demis Hassabis, 2016, Nature.

Vector-based navigation using grid-like representations in artificial agents

Razvan Pascanu, Raia Hadsell, Fabio Viola, 2018, Nature.

Neural scene representation and rendering

Koray Kavukcuoglu, Daan Wierstra, Karol Gregor, 2018, Science.

Policy Distillation pdf

Razvan Pascanu, Sergio Gomez Colmenarejo, Raia Hadsell, 2015, ICLR.

Mastering the game of Go with deep neural networks and tree search

Demis Hassabis, Koray Kavukcuoglu, David Silver, 2016, Nature.

Massively Parallel Methods for Deep Reinforcement Learning pdf

Shane Legg, Praveen Srinivasan, Koray Kavukcuoglu, 2015, ArXiv.

Decoupled Neural Interfaces using Synthetic Gradients pdf

Alex Graves, Max Jaderberg, Simon Osindero, 2016, ICML.

Population Based Training of Neural Networks pdf

Max Jaderberg, Valentin Dalibard, Simon Osindero, 2017, ArXiv.

Learning long‐range vision for autonomous off‐road driving

Yann LeCun, Raia Hadsell, Koray Kavukcuoglu, 2009, J. Field Robotics.

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition pdf

Marc'Aurelio Ranzato, Yann LeCun, Koray Kavukcuoglu, 2010, ArXiv.

Recurrent Models of Visual Attention

Alex Graves, Koray Kavukcuoglu, Nicolas Heess, 2014, NIPS.

Understanding Synthetic Gradients and Decoupled Neural Interfaces

Max Jaderberg, Simon Osindero, Wojciech Czarnecki, 2017, ICML.

Neural Machine Translation in Linear Time pdf

Alex Graves, Karen Simonyan, Koray Kavukcuoglu, 2016, ArXiv.

Automated Curriculum Learning for Neural Networks pdf

Alex Graves, Marc G. Bellemare, Rémi Munos, 2017, ICML.

Weight Uncertainty in Neural Network

Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra, 2015, ICML.

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Heiga Zen, Erich Elsen, Alex Graves, 2017, ICML.

Combining policy gradient and Q-learning

Koray Kavukcuoglu, Brendan O'Donoghue, Volodymyr Mnih, 2016, ICLR.

Progressive Neural Networks pdf

Razvan Pascanu, Raia Hadsell, Koray Kavukcuoglu, 2016, ArXiv.

Learning long-range vision for autonomous off-road driving

Urs A. Muller, Yann LeCun, Raia Hadsell, 2009 .

Learning to Navigate in Complex Environments pdf

Razvan Pascanu, Misha Denil, Raia Hadsell, 2016, ICLR.

Human-level performance in 3D multiplayer games with population-based reinforcement learning

Guy Lever, Joel Z. Leibo, Demis Hassabis, 2018, Science.

PGQ: Combining policy gradient and Q-learning pdf

Koray Kavukcuoglu, Brendan O'Donoghue, Volodymyr Mnih, 2016, ArXiv.

Learning word embeddings efficiently with noise-contrastive estimation

Koray Kavukcuoglu, Andriy Mnih, K. Kavukcuoglu, 2013, NIPS.

EBLearn: Open-Source Energy-Based Learning in C++

Yann LeCun, Koray Kavukcuoglu, Pierre Sermanet, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Learning invariant features through topographic filter maps

Marc'Aurelio Ranzato, Yann LeCun, Koray Kavukcuoglu, 2009, CVPR.

Learning to Navigate in Cities Without a Map

Raia Hadsell, Andrew Zisserman, Karen Simonyan, 2018, NeurIPS.

Hierarchical Representations for Efficient Architecture Search pdf

Oriol Vinyals, Karen Simonyan, Chrisantha Fernando, 2017, ICLR.

Unsupervised Learning of Sparse Features for Scalable Audio Classification

Yann LeCun, Koray Kavukcuoglu, Mikael Henaff, 2011, ISMIR.

Efficient Neural Audio Synthesis pdf

Erich Elsen, Karen Simonyan, Koray Kavukcuoglu, 2018, ICML.

Combining labeled and unlabeled data with word-class distribution learning

Yanjun Qi, Jason Weston, Koray Kavukcuoglu, 2009, CIKM.

Learning the Dependency Structure of Latent Factors

Yanjun Qi, Koray Kavukcuoglu, Haesun Park, 2012, NIPS.

Exploiting Cyclic Symmetry in Convolutional Neural Networks pdf

Koray Kavukcuoglu, Sander Dieleman, Jeffrey De Fauw, 2016, ICML.

Implementing Neural Networks Efficiently

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2012, Neural Networks: Tricks of the Trade.

A Binary Classification Framework for Two-Stage Multiple Kernel Learning

Koray Kavukcuoglu, Hal Daumé, Alexandru Niculescu-Mizil, 2012, ICML.

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

Pushmeet Kohli, Demis Hassabis, Karen Simonyan, 2019, Proteins.

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

Joel Z. Leibo, Ari S. Morcos, Neil C. Rabinowitz, 2018, ArXiv.

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures pdf

Shane Legg, Rémi Munos, Iain Dunning, 2018, ICML.

Video Pixel Networks pdf

Alex Graves, Oriol Vinyals, Karen Simonyan, 2016, ICML.

Pixel Recurrent Neural Networks pdf

Koray Kavukcuoglu, Aäron van den Oord, Nal Kalchbrenner, 2016, ICML.

Learning invariant features through topographic filter maps

R. Fergus, K. Kavukcuoglu, Yann LeCun, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Highly accurate protein structure prediction with AlphaFold

Oriol Vinyals, K. Kavukcuoglu, D. Hassabis, 2021, Nature.

VISUAL ATTENTION

Jimmy Ba, K. Kavukcuoglu, Volodymyr Mnih, 2015 .

Unsupervised Learning of Feature Hierarchies

Koray Kavukcuoglu, K. Kavukcuoglu, 2008 .

ReLU, Sigmoid, Tanh, Log, Cos, Dropout, Negate, Softmax, LogSoftmax, SumElements, RowSlice, RowStack, Scale, Times, DiagTimes, Plus, Minus, ElementTimes, KhatriRaoProd- uct, Reshape traInIng crIterIa SquareError, CrossEntropyWithSoftmax, ClassificationError, ClassBasedCrossEntropyWith- SoftMax, GMML

Clément Farabet, Koray Kavukcuoglu, Ronan Collobert, 2015 .

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL

Stephen J. Roberts, K. Kavukcuoglu, Jack Parker-Holder, 2021, Neural Information Processing Systems.

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Pierre H. Richemond, K. Kavukcuoglu, R. Munos, 2020, NeurIPS.

Improving alignment of dialogue agents via targeted human judgements

Lisa Anne Hendricks, William S. Isaac, John F. J. Mellor, 2022, ArXiv.

Towards realistic MIDI instrument synthesizers

Aäron van den Oord, Oriol Vinyals, K. Kavukcuoglu, 2020 .

Highly accurate protein structure prediction for the human proteome

K. Kavukcuoglu, D. Hassabis, A. Senior, 2021, Nature.

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? pdf

Yann LeCun, Koray Kavukcuoglu, Karol Gregor, 2016, ArXiv.

Large-Scale FPGA-based Convolutional Networks

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011 .

Convolutional Matching Pursuit and Dictionary Training pdf

Yann LeCun, Koray Kavukcuoglu, Arthur Szlam, 2010, ArXiv.

Learning Feature Hierarchies for Object Recognition

Yann LeCun, Koray Kavukcuoglu, K. Kavukcuoglu, 2010 .

What is the best multi-stage architecture for object recognition?

Yann LeCun, Koray Kavukcuoglu, Kevin Jarrett, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Improved protein structure prediction using potentials from deep learning

Demis Hassabis, Karen Simonyan, David T. Jones, 2020, Nature.

The StreetLearn Environment and Dataset pdf

Raia Hadsell, Andrew Zisserman, Karen Simonyan, 2019, ArXiv.

Scaling Language Models: Methods, Analysis & Insights from Training Gopher pdf

Po-Sen Huang, Erich Elsen, Arthur Mensch, 2021, ArXiv.

Applying and improving AlphaFold at CASP14

Oriol Vinyals, K. Kavukcuoglu, D. Hassabis, 2021, Proteins.

Spatial Transformer Networks

Andrew Zisserman, Max Jaderberg, Karen Simonyan, 2015, NIPS.

Interaction Networks for Learning about Objects, Relations and Physics

Razvan Pascanu, Koray Kavukcuoglu, Matthew Lai, 2016, NIPS.

Improved protein structure prediction using potentials from deep learning

David T. Jones, L. Sifre, K. Kavukcuoglu, 2020, Nature.

Unified Scaling Laws for Routed Language Models

Blake A. Hechtman, Diego de Las Casas, Jack W. Rae, 2022, ICML.

Neural Discrete Representation Learning

Oriol Vinyals, Koray Kavukcuoglu, Aäron van den Oord, 2017, NIPS.

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

Pushmeet Kohli, Demis Hassabis, Karen Simonyan, 2019, Proteins.

Competition-level code generation with AlphaCode

Cherepanov, Xinyun Chen, Oriol Vinyals, 2022, Science.

Reinforcement Learning with Unsupervised Auxiliary Tasks pdf

Tom Schaul, Joel Z. Leibo, Max Jaderberg, 2016, ICLR.

Magnetic control of tokamak plasmas through deep reinforcement learning

Martin A. Riedmiller, Brendan D. Tracey, Timo Ewalds, 2022, Nature.

Multiple Object Recognition with Visual Attention pdf

Koray Kavukcuoglu, Jimmy Ba, Volodymyr Mnih, 2014, ICLR.

FeUdal Networks for Hierarchical Reinforcement Learning

Tom Schaul, Max Jaderberg, Simon Osindero, 2017, ICML.

Unsupervised Feature Learning by Deep Sparse Coding

Yanjun Qi, Koray Kavukcuoglu, Yun Wang, 2013, SDM.

AlphaFold: Improved protein structure prediction using

David T. Jones, L. Sifre, K. Kavukcuoglu, 2019 .

Spatial Transformer Networks

Max Jaderberg, K. Kavukcuoglu, K. Simonyan, 2015, NIPS.

Data Sharing without Rewards in Multi-Task Ofﬂine Reinforcement Learning

Dario Amodei, S. Levine, K. Kavukcuoglu, 2022 .

Strategic Attentive Writer for Learning Macro-Actions

Alex Graves, Simon Osindero, Koray Kavukcuoglu, 2016, NIPS.

Learning by teaching.

Bertram C. Bruce, Susanne P. Lajoie, Segismundo S. Izquierdo, 1977, The Australian nurses' journal. Royal Australian Nursing Federation.

Human-level control through deep reinforcement learning

Marc G. Bellemare, Martin A. Riedmiller, Andrei A. Rusu, 2015, Nature.

Mastering the game of Go with deep neural networks and tree search

Chris J. Maddison, George van den Driessche, Aja Huang, 2016, Nature.

Visual Attention

Jeremy M Wolfe, Todd S Horowitz, Ester Reijnen, 2020, Computational Models for Cognitive Vision.

Gemini: A Family of Highly Capable Multimodal Models

Tara N. Sainath, Dalia El Badawy, Reinald Kim Amplayo, 2023, ArXiv.

Learning by teaching.

Bertram C. Bruce, Susanne P. Lajoie, Segismundo S. Izquierdo, 1977, The Australian nurses' journal. Royal Australian Nursing Federation.

Vector-based navigation using grid-like representations in artificial agents

Neil C. Rabinowitz, T. Lillicrap, K. Kavukcuoglu, 2018, Nature.