← Authors

Karen Simonyan

30 papers · 2013–2022 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (56) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (9) 🌟 Keyword Trendsetter Combo (5) πŸ“› The Namer πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ‘₯ Mega-Team (28) πŸ’Ž Century Club (30) πŸ—ƒοΈ Keyword Collector (123) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer ⚑ Prolific Year (7)

Conferences

ICML (10) NIPS (10) ICLR (6) CVPR (3) EMNLP (1)

Top co-authors

Koray Kavukcuoglu (9) Erich Elsen (9) Oriol Vinyals (9) Andrew Zisserman (6) Sander Dieleman (6) Jeff Donahue (5) Laurent Sifre (4) Simon Osindero (4) Aidan Clark (4) Sebastian Borgeaud (4)

Research topics

Models (1) Core AI (1)

Keywords

convolutional neural network (3) image classification (3) neural network (3) scaling law (2) multi-task learning (2) neural network architecture (2) waveform generation (2) fisher vector (2) monte carlo tree search (2) reinforcement learning (1) transfer learning (1) image generation (1) feature extraction (1) gradient-based optimization (1) deep reinforcement learning (1) action recognition (1) batch normalization (1) few-shot learning (1) representation learning (1) speech synthesis (1)

Papers

Flamingo: a Visual Language Model for Few-Shot Learning NIPS 2022
An empirical analysis of compute-optimal large language model training NIPS 2022
Unified Scaling Laws for Routed Language Models ICML 2022
Improving Language Models by Retrieving from Trillions of Tokens ICML 2022
Machine Translation Decoding beyond Beam Search EMNLP 2021
Practical Real Time Recurrent Learning with a Sparse Approximation ICLR 2021
End-to-end Adversarial Text-to-Speech ICLR 2021
High-Performance Large-Scale Image Recognition Without Normalization ICML 2021
High Fidelity Speech Synthesis with Adversarial Networks ICLR 2020
Off-Policy Actor-Critic with Shared Experience Replay ICML 2020
Evolving Normalization-Activation Layers NIPS 2020
Fast Sparse ConvNets CVPR 2020
Large Scale GAN Training for High Fidelity Natural Image Synthesis ICLR 2019
Large Scale Adversarial Representation Learning NIPS 2019
DARTS: Differentiable Architecture Search ICLR 2019
Hierarchical Representations for Efficient Architecture Search ICLR 2018
Learning to Navigate in Cities Without a Map NIPS 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018
Learning to search with MCTSnets ICML 2018
Efficient Neural Audio Synthesis ICML 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis ICML 2018
The challenge of realistic music generation: modelling raw audio at scale NIPS 2018
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders ICML 2017
Video Pixel Networks ICML 2017
Natural Neural Networks NIPS 2015
Spatial Transformer Networks NIPS 2015
A Compact and Discriminative Face Track Descriptor CVPR 2014
Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014
Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013