← Authors

Koray Kavukcuoglu

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) 🌟 Keyword Trendsetter Combo (4) πŸ“› The Namer 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘₯ Mega-Team (26) 🌱 Topic Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (144) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (30) πŸ“ˆ 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