Koray Kavukcuoglu

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

Achievements

+17 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (14) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird

🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12) 🌟 Keyword Trendsetter Combo (4) 📛 The Namer 🤝 Dynamic Duo (10) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 👥 Mega-Team (26) 🌱 Topic Pioneer 🔥 Unstoppable (9) 🗃️ Keyword Collector (144) 🚀 Conference Pioneer ⚡ Prolific Year (8) 💎 Century Club (30) 📈 Trend Setter

Conferences

NIPS (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)

Keywords

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

Papers

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