Koray Kavukcuoglu

30 papers · 2010–2022 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (65) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

📛 The Namer 🌟 Keyword Trendsetter Combo (8) 👑 Triple Crown 🤝 Dynamic Duo (10) 👥 Mega-Team · Squad 🏆 Keyword Champion 🧭 Keyword Pioneer 🚀 Conference Pioneer 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🌈 Renaissance Researcher (7) 📈 Trend Setter 🗃️ Keyword Collector (156)

Venues

NeurIPS (14) ICML (13) CVPR (1) ICLR (1) JMLR (1)

Top co-authors

Oriol Vinyals (10) Karen Simonyan (9) Alex Graves (8) Nal Kalchbrenner (5) Simon Osindero (5) Max Jaderberg (4) Nicolas Heess (3) Aaron van den Oord (3) Sander Dieleman (3) Volodymyr Mnih (3)

Research topics

Machine Learning (22) Deep Learning (21) Artificial Intelligence (12) Architectures (10) Core Methods (10) Core AI (8) Learning Types · Machine Learning (8) Optimization & Theory (8) Computer Vision (7) Learning Types · Deep Learning (7) Models (7) Reinforcement Learning (6) Analysis (5) Methods (5) Techniques (5)

Keywords

representation learning (5) recurrent neural network (4) convolutional neural network (4) autoregressive model (3) neural network (3) reinforcement learning (3) image classification (3) neural network architecture (2) variational autoencoder (2) synthetic gradient (2) feature learning (2) convolutional network (2) neural network optimization (2) waveform generation (2) transfer learning (2) unsupervised learning (2) deep reinforcement learning (2) attention mechanism (2) temporal abstraction (2) variational inference (1)

Papers

Unified Scaling Laws for Routed Language Models ICML 2022 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Efficient Neural Audio Synthesis ICML 2018 Hierarchical Representations for Efficient Architecture Search ICLR 2018 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018 Learning to Navigate in Cities Without a Map NeurIPS 2018 Parallel WaveNet: Fast High-Fidelity Speech Synthesis ICML 2018 Automated Curriculum Learning for Neural Networks ICML 2017 Decoupled Neural Interfaces using Synthetic Gradients ICML 2017 FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017 Neural Discrete Representation Learning NeurIPS 2017 Understanding Synthetic Gradients and Decoupled Neural Interfaces ICML 2017 Video Pixel Networks ICML 2017 Asynchronous Methods for Deep Reinforcement Learning ICML 2016 Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NeurIPS 2016 Conditional Image Generation with PixelCNN Decoders NeurIPS 2016 Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 Pixel Recurrent Neural Networks ICML 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Natural Neural Networks NeurIPS 2015 Spatial Transformer Networks NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015 Recurrent Models of Visual Attention NeurIPS 2014 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Pedestrian Detection with Unsupervised Multi-stage Feature Learning CVPR 2013 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Natural Language Processing (Almost) from Scratch JMLR 2011 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010