Koray Kavukcuoglu
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Machine learning researcher
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Koray Kavukcuoglucomputer-science Degrees
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Machine Learning
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Computer Science
Koray Kavukcuoglu's Degrees
- PhD Computer Science New York University
- Masters Computer Science New York University
- Bachelors Electrical and Electronics Engineering Bilkent University
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(Suggest an Edit or Addition)Koray Kavukcuoglu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Human-level control through deep reinforcement learning (2015) (19924)
- Mastering the game of Go with deep neural networks and tree search (2016) (13400)
- Highly accurate protein structure prediction with AlphaFold (2021) (8720)
- Playing Atari with Deep Reinforcement Learning (2013) (8672)
- Natural Language Processing (Almost) from Scratch (2011) (7182)
- Asynchronous Methods for Deep Reinforcement Learning (2016) (6519)
- WaveNet: A Generative Model for Raw Audio (2016) (5665)
- Spatial Transformer Networks (2015) (5655)
- Matching Networks for One Shot Learning (2016) (5050)
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (2020) (3100)
- Recurrent Models of Visual Attention (2014) (2937)
- What is the best multi-stage architecture for object recognition? (2009) (2242)
- Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) (2227)
- Pixel Recurrent Neural Networks (2016) (2021)
- Conditional Image Generation with PixelCNN Decoders (2016) (1908)
- Neural Discrete Representation Learning (2017) (1856)
- Convolutional networks and applications in vision (2010) (1775)
- Improved protein structure prediction using potentials from deep learning (2020) (1753)
- Weight Uncertainty in Neural Networks (2015) (1542)
- Torch7: A Matlab-like Environment for Machine Learning (2011) (1541)
- Hybrid computing using a neural network with dynamic external memory (2016) (1362)
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures (2018) (1137)
- Weight Uncertainty in Neural Network (2015) (1131)
- Interaction Networks for Learning about Objects, Relations and Physics (2016) (1097)
- Progressive Neural Networks (2016) (1064)
- Reinforcement Learning with Unsupervised Auxiliary Tasks (2016) (1035)
- Highly accurate protein structure prediction for the human proteome (2021) (1032)
- Multiple Object Recognition with Visual Attention (2014) (929)
- Pedestrian Detection with Unsupervised Multi-stage Feature Learning (2012) (811)
- Hierarchical Representations for Efficient Architecture Search (2017) (797)
- Learning to Navigate in Complex Environments (2016) (734)
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis (2017) (712)
- FeUdal Networks for Hierarchical Reinforcement Learning (2017) (686)
- Efficient Neural Audio Synthesis (2018) (682)
- Sample Efficient Actor-Critic with Experience Replay (2016) (645)
- Learning Convolutional Feature Hierarchies for Visual Recognition (2010) (581)
- Learning word embeddings efficiently with noise-contrastive estimation (2013) (581)
- Population Based Training of Neural Networks (2017) (530)
- Neural scene representation and rendering (2018) (508)
- Neural Machine Translation in Linear Time (2016) (497)
- Human-level performance in 3D multiplayer games with population-based reinforcement learning (2018) (492)
- Policy Distillation (2015) (483)
- Attend, Infer, Repeat: Fast Scene Understanding with Generative Models (2016) (456)
- Vector-based navigation using grid-like representations in artificial agents (2018) (455)
- Massively Parallel Methods for Deep Reinforcement Learning (2015) (437)
- Automated Curriculum Learning for Neural Networks (2017) (396)
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) (382)
- Learning invariant features through topographic filter maps (2009) (353)
- Video Pixel Networks (2016) (349)
- Exploiting Cyclic Symmetry in Convolutional Neural Networks (2016) (327)
- Decoupled Neural Interfaces using Synthetic Gradients (2016) (284)
- Learning long‐range vision for autonomous off‐road driving (2009) (257)
- Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2010) (252)
- Learning to Navigate in Cities Without a Map (2018) (249)
- Magnetic control of tokamak plasmas through deep reinforcement learning (2022) (224)
- Competition-level code generation with AlphaCode (2022) (213)
- Unsupervised Predictive Memory in a Goal-Directed Agent (2018) (159)
- Natural Neural Networks (2015) (159)
- Strategic Attentive Writer for Learning Macro-Actions (2016) (155)
- Learning long-range vision for autonomous off-road driving (2009) (146)
- Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019) (137)
- Human-level performance in first-person multiplayer games with population-based deep reinforcement learning (2018) (134)
- Unsupervised Learning of Sparse Features for Scalable Audio Classification (2011) (133)
- Large-Scale FPGA-based Convolutional Networks (2011) (129)
- Combining policy gradient and Q-learning (2016) (122)
- Applying and improving AlphaFold at CASP14 (2021) (111)
- PGQ: Combining policy gradient and Q-learning (2016) (97)
- Protein structure prediction using multiple deep neural networks in CASP13. (2019) (66)
- Understanding Synthetic Gradients and Decoupled Neural Interfaces (2017) (65)
- Unsupervised Feature Learning by Deep Sparse Coding (2013) (62)
- A Binary Classification Framework for Two-Stage Multiple Kernel Learning (2012) (58)
- Improving alignment of dialogue agents via targeted human judgements (2022) (56)
- Convolutional Matching Pursuit and Dictionary Training (2010) (45)
- Unified Scaling Laws for Routed Language Models (2022) (41)
- The StreetLearn Environment and Dataset (2019) (38)
- EBLearn: Open-Source Energy-Based Learning in C++ (2009) (33)
- Improved protein structure prediction using potentials from deep learning (2020) (27)
- Implementing Neural Networks Efficiently (2012) (24)
- Semi-Supervised Sequence Labeling with Self-Learned Features (2009) (22)
- Combining labeled and unlabeled data with word-class distribution learning (2009) (22)
- A multi-range vision strategy for autonomous offroad navigation (2007) (15)
- Learning the Dependency Structure of Latent Factors (2012) (8)
- Learning in Informal Settings (2012) (8)
- Learning and Development After School (2012) (5)
- Towards realistic MIDI instrument synthesizers (2020) (4)
- Learning from Text (2012) (2)
- Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL (2022) (2)
- Learning Through the Breach: Language Socialization (2012) (2)
- Learning Feature Hierarchies for Object Recognition (2010) (2)
- Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning (1)
- High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (2009) (1)
- Automated Detection of Nonproliferative Diabetic Retinopathy (2008) (0)
- 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 (2015) (0)
- Unsupervised Learning of Feature Hierarchies (2008) (0)
- Autonomous Learning for Long Range Vision in Mobile Robots (2008) (0)
- ENVIRONMENT NAVIGATION USING REINFORCEMENT LEARNING (2018) (0)
- Intelligent Perception (0)
- Global Map Long Range Vision ( FAROD ) Cameras Vehicle Map Global planner Route to goal Global Map Goal Local candidates (2007) (0)
- VISUAL ATTENTION (2015) (0)
- Learning Goals: (2020) (0)
- What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? (2016) (0)
- Symbolic Reasoning with Differentiable Neural Comput (2016) (0)
- Vector-based navigation using grid-like representations in artificial agents (2018) (0)
- AlphaFold: Improved protein structure prediction using (2019) (0)
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